1 00:00:00,080 --> 00:00:02,960 Speaker 1: If you love iPhone, you'll love Apple Card. It's the 2 00:00:03,040 --> 00:00:06,920 Speaker 1: credit card designed for iPhone. It gives you unlimited daily 3 00:00:07,040 --> 00:00:10,000 Speaker 1: cash back that can earn four point four zero percent 4 00:00:10,160 --> 00:00:12,960 Speaker 1: annual percentage yield. When you open a high Yield savings 5 00:00:13,000 --> 00:00:16,560 Speaker 1: account through Applecard, apply for Applecard in the wallet app 6 00:00:16,680 --> 00:00:19,759 Speaker 1: subject to credit approval. Savings is available to Apple Card 7 00:00:19,840 --> 00:00:23,160 Speaker 1: owners subject to eligibility. Apple Card and Savings by Goldman 8 00:00:23,239 --> 00:00:26,840 Speaker 1: Sachs Bank USA, Salt Lake City Branch, Member, FDIC terms 9 00:00:26,840 --> 00:00:28,680 Speaker 1: and more at applecard dot com. 10 00:00:28,880 --> 00:00:31,760 Speaker 2: Have you boosted your business with Lenovo Pro yet? Become 11 00:00:31,760 --> 00:00:34,839 Speaker 2: a Lenovo Pro member for free today and unlock access 12 00:00:34,840 --> 00:00:38,879 Speaker 2: to Lenovo's exclusive business store for technology expert advisors and 13 00:00:39,040 --> 00:00:42,800 Speaker 2: essential products and services designed just for you. Visit Lenovo 14 00:00:42,840 --> 00:00:45,440 Speaker 2: dot com slash Lenovo Pro to sign up for free. 15 00:00:45,479 --> 00:00:51,559 Speaker 2: That's Lenovo dot Com slash Lenovo Pro Lenovo unlock new 16 00:00:51,560 --> 00:00:54,840 Speaker 2: AI experiences with Lenovo's think Pad x one carbon powered 17 00:00:54,840 --> 00:00:56,480 Speaker 2: by Intel Core ultraprocessors. 18 00:00:59,080 --> 00:01:00,840 Speaker 1: When you pop a piece of cheese into your mouth, 19 00:01:00,840 --> 00:01:04,120 Speaker 1: you're probably not thinking about the environmental impact, but the 20 00:01:04,160 --> 00:01:07,040 Speaker 1: people in the dairy industry are. That's why they're working 21 00:01:07,080 --> 00:01:09,720 Speaker 1: hard every day to find new ways to reduce waste, 22 00:01:09,800 --> 00:01:14,080 Speaker 1: conserve natural resources, and drive down greenhouse gas emissions. House 23 00:01:14,200 --> 00:01:18,559 Speaker 1: US dairy tackling greenhouse gases. Many farms use anaerobic digestors 24 00:01:18,560 --> 00:01:21,880 Speaker 1: to turn the methane from manure into renewable energy that 25 00:01:21,880 --> 00:01:25,520 Speaker 1: can power farms, towns, and electric cars. Visit you as 26 00:01:25,600 --> 00:01:28,360 Speaker 1: dairy dot COM's Last Sustainability to learn more. 27 00:01:29,000 --> 00:01:31,959 Speaker 3: Everyone loves getting good advice and staying in the know. 28 00:01:32,680 --> 00:01:35,240 Speaker 3: There's nothing like getting a heads up on something before 29 00:01:35,280 --> 00:01:37,640 Speaker 3: you've even had time to think about whether you need 30 00:01:37,800 --> 00:01:42,280 Speaker 3: or want it. Well. Thankfully, AT and T provides personalized 31 00:01:42,319 --> 00:01:45,440 Speaker 3: recommendations and solutions so you get what's right for you. 32 00:01:46,040 --> 00:01:48,680 Speaker 3: Whether right for you means a plan that's better suited 33 00:01:48,680 --> 00:01:51,400 Speaker 3: for you and your family, or a product that makes 34 00:01:51,440 --> 00:01:55,320 Speaker 3: sense for you and your lifestyle. So relax and let 35 00:01:55,360 --> 00:01:59,680 Speaker 3: AT and T provide proactive recommendations to help empower your 36 00:01:59,720 --> 00:02:08,000 Speaker 3: best connected life. 37 00:02:12,040 --> 00:02:15,040 Speaker 1: Sometimes I'll bump into a stranger, maybe on an airplane, 38 00:02:15,120 --> 00:02:17,560 Speaker 1: and they'll ask me the inevitable question, what do you 39 00:02:17,600 --> 00:02:20,239 Speaker 1: do for a living? When I say that I'm a physicist, 40 00:02:20,320 --> 00:02:24,000 Speaker 1: I often get the reaction, ugh, I hate physics so 41 00:02:24,200 --> 00:02:26,880 Speaker 1: much math and that makes me think if it's the 42 00:02:26,880 --> 00:02:29,360 Speaker 1: math you didn't like, then hey, hate the math, but 43 00:02:29,639 --> 00:02:31,960 Speaker 1: you can still love the physics. But of course the 44 00:02:32,000 --> 00:02:35,520 Speaker 1: two are closely linked. You can't love Shakespeare if you 45 00:02:35,560 --> 00:02:38,600 Speaker 1: hate the English language, and that of course makes us 46 00:02:38,639 --> 00:02:43,320 Speaker 1: wonder why math and physics are so intertwined. I mean, 47 00:02:43,360 --> 00:02:47,880 Speaker 1: if people can actually enjoy Shakespeare in other languages, then 48 00:02:47,919 --> 00:02:51,680 Speaker 1: it has something about it that's transcending the original English words. 49 00:02:51,919 --> 00:02:55,000 Speaker 1: Is it possible for physics to transcend math or are 50 00:02:55,080 --> 00:02:58,640 Speaker 1: they shackled to each other with math woven deeply into 51 00:02:58,680 --> 00:03:17,200 Speaker 1: the fabric of physics. Hi, I'm Daniel. I'm a particle 52 00:03:17,240 --> 00:03:20,560 Speaker 1: physicist and a professor at UC Irvine, and I'll admit 53 00:03:20,600 --> 00:03:24,320 Speaker 1: that I love math. Some people find it confusing, but 54 00:03:24,480 --> 00:03:26,520 Speaker 1: when I was a kid, I found it to be 55 00:03:26,680 --> 00:03:29,360 Speaker 1: crisp and logical in a way that the rest of 56 00:03:29,400 --> 00:03:32,800 Speaker 1: the world was sort of fuzzy and complicated, like people. 57 00:03:32,880 --> 00:03:36,360 Speaker 1: For example, people are complicated and hard to understand when 58 00:03:36,360 --> 00:03:37,960 Speaker 1: you're a kid. Are they going to be mean to 59 00:03:38,040 --> 00:03:39,720 Speaker 1: you or nice to you if you sit next to 60 00:03:39,720 --> 00:03:42,160 Speaker 1: them at lunch? It's hard to predict from one day 61 00:03:42,200 --> 00:03:44,840 Speaker 1: to the next. But the rules of math were cast 62 00:03:44,960 --> 00:03:47,880 Speaker 1: in iron two plus two equals four every day of 63 00:03:47,920 --> 00:03:50,960 Speaker 1: the week, and if you know the rules, the answer follows. 64 00:03:51,320 --> 00:03:54,600 Speaker 1: Math is reliable, it's predictable, and that's what led me 65 00:03:54,680 --> 00:03:58,720 Speaker 1: to physics, the ability to use math to understand and 66 00:03:58,840 --> 00:04:02,720 Speaker 1: predict the universe. And welcome to the podcast Daniel and 67 00:04:02,800 --> 00:04:05,800 Speaker 1: Jorge Explain the Universe, where we do a deep dive 68 00:04:05,840 --> 00:04:08,600 Speaker 1: into the rules of the universe, doing our best to 69 00:04:08,640 --> 00:04:12,320 Speaker 1: reveal what science has uncovered in terms of the machinations 70 00:04:12,320 --> 00:04:15,000 Speaker 1: of the universe, and laying out for you what science 71 00:04:15,080 --> 00:04:18,840 Speaker 1: and scientists are still puzzling over. We tear the universe 72 00:04:18,880 --> 00:04:21,360 Speaker 1: down to its smallest bits and put them back together 73 00:04:21,440 --> 00:04:25,159 Speaker 1: to explain how things work and expose our remaining ignorance. 74 00:04:25,279 --> 00:04:27,360 Speaker 1: And we can do that thanks in no small part 75 00:04:27,520 --> 00:04:31,279 Speaker 1: to the power of math. Math underlies all of the 76 00:04:31,360 --> 00:04:34,840 Speaker 1: stories that we tell ourselves about the universe. If you 77 00:04:34,880 --> 00:04:36,880 Speaker 1: want to predict the path of a baseball, you can 78 00:04:36,960 --> 00:04:40,599 Speaker 1: use math to calculate its trajectory and tell you where 79 00:04:40,640 --> 00:04:43,400 Speaker 1: it will land. Physics can predict the future, but the 80 00:04:43,560 --> 00:04:47,360 Speaker 1: language and the machinery of it are all mathematical. There 81 00:04:47,360 --> 00:04:50,400 Speaker 1: are times when our intuition fails us, when the universe 82 00:04:50,440 --> 00:04:53,919 Speaker 1: does things that don't align with our expectations, like in 83 00:04:53,960 --> 00:04:57,599 Speaker 1: the case of quantum mechanics, which tries to describe tiny 84 00:04:57,680 --> 00:05:01,360 Speaker 1: little objects that follow rules that seem alien to us, 85 00:05:01,920 --> 00:05:06,440 Speaker 1: but they do follow rules, and those rules are mathematical 86 00:05:06,720 --> 00:05:10,880 Speaker 1: described by equations. So when we've lost our intuition, we 87 00:05:10,960 --> 00:05:14,359 Speaker 1: can close our intuitive eyes and just follow the math 88 00:05:14,440 --> 00:05:17,200 Speaker 1: and trust that it will guide us to the right 89 00:05:17,360 --> 00:05:21,599 Speaker 1: physical answer. On this podcast, we actually usually are trying 90 00:05:21,640 --> 00:05:25,680 Speaker 1: to do the opposite, to avoid the mathematics. That's partly 91 00:05:25,720 --> 00:05:29,200 Speaker 1: because it's an audio program not well suited to equations 92 00:05:29,320 --> 00:05:32,560 Speaker 1: or geometric sketches, but also because we are trying to 93 00:05:32,560 --> 00:05:36,560 Speaker 1: feed your intuition about how the universe works, to strip 94 00:05:36,600 --> 00:05:39,680 Speaker 1: away the opaqueness of math and make it all make 95 00:05:39,800 --> 00:05:42,680 Speaker 1: sense to you. And I'll admit that this is sometimes 96 00:05:42,680 --> 00:05:46,040 Speaker 1: a struggle to accomplish. For some of the deeper concepts 97 00:05:46,040 --> 00:05:49,800 Speaker 1: in physics, like gauge invariants, the way I learned them 98 00:05:50,080 --> 00:05:53,880 Speaker 1: is mathematical, and the way that I understand them is mathematical, 99 00:05:54,120 --> 00:05:57,880 Speaker 1: which has become part of my intuition. So it's not 100 00:05:57,960 --> 00:06:01,719 Speaker 1: always easy to know how to translate those concepts into 101 00:06:01,839 --> 00:06:04,719 Speaker 1: pure intuition and talk about them without math, but you know, 102 00:06:05,080 --> 00:06:08,640 Speaker 1: finding ways to talk about them intuitively has also led 103 00:06:08,720 --> 00:06:12,440 Speaker 1: me to a deeper understanding of the ideas. That's one 104 00:06:12,480 --> 00:06:16,240 Speaker 1: of the underappreciated joys of teaching. It forces you to 105 00:06:16,320 --> 00:06:19,159 Speaker 1: strengthen your own knowledge. But to me, it raises a 106 00:06:19,240 --> 00:06:24,520 Speaker 1: really interesting question. Is it possible actually to divorce physics 107 00:06:24,640 --> 00:06:29,159 Speaker 1: from math? Is math truly the language of physics or 108 00:06:29,240 --> 00:06:32,880 Speaker 1: is it just useful like a shorthand notation. Is math 109 00:06:32,920 --> 00:06:35,680 Speaker 1: the language of the universe itself or is it just 110 00:06:35,760 --> 00:06:38,400 Speaker 1: the way that humans like to think about it. So 111 00:06:38,480 --> 00:06:46,480 Speaker 1: on today's episode, we'll be asking the question why is 112 00:06:46,600 --> 00:06:50,080 Speaker 1: math so important for physics? A few weeks ago, we 113 00:06:50,120 --> 00:06:53,840 Speaker 1: talked to a philosopher of mathematics, Professor Mark Colliban, about 114 00:06:53,880 --> 00:06:58,200 Speaker 1: whether the universe was mathematical. Today, I've invited someone from 115 00:06:58,240 --> 00:07:01,120 Speaker 1: the other side of the issue to joy. We'll talk 116 00:07:01,160 --> 00:07:04,919 Speaker 1: today to a working mathematician, someone who spends his days 117 00:07:05,000 --> 00:07:08,839 Speaker 1: building mathematical tools and using them to describe the patterns 118 00:07:08,839 --> 00:07:12,120 Speaker 1: and structures of the universe. So it's my pleasure to 119 00:07:12,160 --> 00:07:15,920 Speaker 1: welcome Professor Steve Strogatz. He's the Jacob gould Sherman Professor 120 00:07:15,960 --> 00:07:20,240 Speaker 1: of Applied Mathematics at Cornell University, having talked previously at MIT, 121 00:07:20,480 --> 00:07:23,200 Speaker 1: and having earned a PhD in math from Harvard, So 122 00:07:23,240 --> 00:07:26,280 Speaker 1: those are some pretty impressive credentials. But he's also an 123 00:07:26,320 --> 00:07:30,000 Speaker 1: expert in applying math to the real world, including understanding 124 00:07:30,040 --> 00:07:33,320 Speaker 1: the math of firefly swarms, choruses of chirping crickets, and 125 00:07:33,360 --> 00:07:36,480 Speaker 1: the wobbling of bridges. He's also a well known podcaster, 126 00:07:36,640 --> 00:07:38,920 Speaker 1: host of the podcasts The Joy of X and The 127 00:07:39,040 --> 00:07:41,960 Speaker 1: Joy of Why, both of which I highly recommend, as 128 00:07:42,000 --> 00:07:45,240 Speaker 1: well as a prolific author. One of his recent books 129 00:07:45,280 --> 00:07:49,360 Speaker 1: is Infinite Powers, How Calculus Reveals the Secrets of the Universe, 130 00:07:49,480 --> 00:07:52,280 Speaker 1: a book I recently read and thoroughly enjoyed, and which 131 00:07:52,320 --> 00:07:54,960 Speaker 1: inspired me to invite Steve on the podcast to talk 132 00:07:55,000 --> 00:07:59,880 Speaker 1: about calculus, infinity, and the deep relationship between physics and math. Steve, 133 00:08:00,160 --> 00:08:02,520 Speaker 1: Welcome to the podcast, and thank you very much for 134 00:08:02,640 --> 00:08:03,160 Speaker 1: joining us. 135 00:08:03,280 --> 00:08:05,880 Speaker 4: Thanks a lot, Daniel, it's a great pleasure to be 136 00:08:06,000 --> 00:08:07,280 Speaker 4: with you. That's going to be fun. 137 00:08:07,360 --> 00:08:09,200 Speaker 1: It's a treat to have you here, as I've been 138 00:08:09,280 --> 00:08:11,960 Speaker 1: very much enjoying listening to your podcast series and reading 139 00:08:12,000 --> 00:08:13,920 Speaker 1: your book, and so I'd like to start by asking 140 00:08:13,960 --> 00:08:16,040 Speaker 1: you a question I've heard you ask several of your 141 00:08:16,080 --> 00:08:20,000 Speaker 1: guests about definitions. Your book is about calculus, a word 142 00:08:20,040 --> 00:08:21,960 Speaker 1: that a lot of people have heard but might not 143 00:08:22,200 --> 00:08:24,920 Speaker 1: really know what it means. Can you define for us 144 00:08:25,040 --> 00:08:26,280 Speaker 1: what is calculus? 145 00:08:26,560 --> 00:08:29,280 Speaker 4: Sure, let's try it in a sequence of definitions, and 146 00:08:29,320 --> 00:08:31,280 Speaker 4: you could stop me when I get too detailed. So 147 00:08:31,360 --> 00:08:33,080 Speaker 4: if I were giving it to you in one word, 148 00:08:33,200 --> 00:08:35,880 Speaker 4: I would say, it's the mathematics of change. That's the 149 00:08:35,960 --> 00:08:38,280 Speaker 4: key word change. If we want to go a little 150 00:08:38,280 --> 00:08:43,000 Speaker 4: more into it, it's the mathematics of continuous change, and 151 00:08:43,360 --> 00:08:45,880 Speaker 4: especially things that are changing at a changing rate. 152 00:08:45,960 --> 00:08:48,600 Speaker 1: So you say it's the mathematics of change. What exactly 153 00:08:48,679 --> 00:08:51,280 Speaker 1: is changing there? Like if I just want to describe 154 00:08:51,360 --> 00:08:53,960 Speaker 1: how a ball is moving through the air, what exactly 155 00:08:54,000 --> 00:08:55,480 Speaker 1: is changing about the ball's motion? 156 00:08:55,760 --> 00:08:57,960 Speaker 4: So in that case, what's changing is the position of 157 00:08:58,000 --> 00:09:00,800 Speaker 4: the ball, or also possibly the speed of the ball. 158 00:09:00,920 --> 00:09:04,240 Speaker 4: So your listeners will remember from high school algebra, we 159 00:09:04,280 --> 00:09:08,200 Speaker 4: do problems about change and motion that gets summed up 160 00:09:08,240 --> 00:09:10,920 Speaker 4: in the mantra distance equals rate times time, and so 161 00:09:11,040 --> 00:09:14,800 Speaker 4: that's motion at a steady speed or at a steady velocity. 162 00:09:15,559 --> 00:09:18,200 Speaker 4: And you can handle that with algebra. It's just a 163 00:09:18,200 --> 00:09:21,400 Speaker 4: matter of multiplication. Distance equals rate times time. The rate 164 00:09:21,480 --> 00:09:24,400 Speaker 4: is the speed, and you're driving sixty miles an hour. 165 00:09:24,600 --> 00:09:27,160 Speaker 4: For an hour, you're going to go sixty miles. Okay, 166 00:09:27,400 --> 00:09:30,839 Speaker 4: So in that case the distance is changing, position of 167 00:09:30,880 --> 00:09:33,120 Speaker 4: the car on the highway is changing, but the speed 168 00:09:33,160 --> 00:09:34,920 Speaker 4: of the car is not changing. We said it was 169 00:09:35,160 --> 00:09:38,120 Speaker 4: a steady sixty miles an hour. And so at the 170 00:09:38,160 --> 00:09:42,160 Speaker 4: time of Isaac Newton or even Johannes Kepler or Galileo, 171 00:09:42,360 --> 00:09:46,240 Speaker 4: scientists started to become very interested in motion that was 172 00:09:46,360 --> 00:09:49,520 Speaker 4: not just simple motion at a constant speed. You know, 173 00:09:49,640 --> 00:09:52,000 Speaker 4: in connection with the things you mentioned dropping a ball, 174 00:09:52,240 --> 00:09:55,520 Speaker 4: the apocryphal or maybe true dropping the cannon ball off 175 00:09:55,559 --> 00:09:58,720 Speaker 4: the leaning tower of Pisa from Galileo certainly Kepler with 176 00:09:58,800 --> 00:10:01,160 Speaker 4: thinking about the motions of the planets. In all of 177 00:10:01,160 --> 00:10:03,920 Speaker 4: those cases there were things that were changing. I mean, 178 00:10:03,920 --> 00:10:06,240 Speaker 4: we should also keep in mind with the planets, another 179 00:10:06,280 --> 00:10:09,600 Speaker 4: thing that can change is direction. So instead of motion 180 00:10:09,720 --> 00:10:12,120 Speaker 4: in a straight line, if you have an orbit, then 181 00:10:12,280 --> 00:10:15,280 Speaker 4: the direction of the planet as it's moving is changing. 182 00:10:15,320 --> 00:10:17,560 Speaker 4: It's curving as it's going around the Sun. And so 183 00:10:17,720 --> 00:10:21,000 Speaker 4: geometry is a big part of calculus too. When we 184 00:10:21,080 --> 00:10:24,119 Speaker 4: start to deal with curved shapes as opposed to shapes 185 00:10:24,160 --> 00:10:26,520 Speaker 4: made of straight lines or planes. 186 00:10:26,679 --> 00:10:29,800 Speaker 1: So in this case, do you feel historically like physics 187 00:10:29,920 --> 00:10:32,640 Speaker 1: was in the lead or mathematics. I mean, people have 188 00:10:32,760 --> 00:10:36,120 Speaker 1: been thinking about things that were moving and changing for 189 00:10:36,320 --> 00:10:39,160 Speaker 1: thousands of years. But calculus is just a few hundred 190 00:10:39,240 --> 00:10:42,720 Speaker 1: years old. Was it invented to solve a particularly difficult 191 00:10:42,720 --> 00:10:46,240 Speaker 1: problem or did it appear in the minds of intelligent 192 00:10:46,280 --> 00:10:48,719 Speaker 1: people and then allow us to solve problems that had 193 00:10:48,720 --> 00:10:50,400 Speaker 1: been standing for thousands of years. 194 00:10:50,559 --> 00:10:52,880 Speaker 4: That's interesting that you say it's only a few hundred 195 00:10:53,000 --> 00:10:57,960 Speaker 4: years old. Most historians and certainly most scientists would say, yeah, 196 00:10:58,000 --> 00:11:01,360 Speaker 4: calculus is from the middle sixteen hundreds, from Isaac Newton 197 00:11:01,440 --> 00:11:06,240 Speaker 4: and Gottfried Wilhelm Leibniz. But I don't personally want to 198 00:11:06,360 --> 00:11:09,960 Speaker 4: endorse that position, because I think we can see if 199 00:11:10,040 --> 00:11:12,280 Speaker 4: you want. I mean, I don't quibble about definitions. But 200 00:11:12,320 --> 00:11:16,280 Speaker 4: there are definitely ideas of calculus almost two thousand years 201 00:11:16,280 --> 00:11:20,440 Speaker 4: earlier in the work of Archimedes in Syracuse in what 202 00:11:20,600 --> 00:11:24,560 Speaker 4: was at the time the Greek Empire two fifty BC. 203 00:11:24,840 --> 00:11:29,400 Speaker 4: Archimedes is calculating volumes of solids with curved faces, or 204 00:11:29,440 --> 00:11:32,280 Speaker 4: also areas under a parabola, or he's the one that 205 00:11:32,320 --> 00:11:34,480 Speaker 4: gives us the volume of a sphere or the surface 206 00:11:34,559 --> 00:11:37,360 Speaker 4: area of a sphere. Those are all calculus problems. We 207 00:11:37,520 --> 00:11:41,160 Speaker 4: teach those today in calculus when we're teaching students about integrals, 208 00:11:41,240 --> 00:11:43,880 Speaker 4: which is a generalization of the idea of area and volume. 209 00:11:43,960 --> 00:11:47,280 Speaker 4: And so he's totally doing calculus in two fifty BC. 210 00:11:47,520 --> 00:11:50,840 Speaker 4: In fact, he's doing the harder part of calculus, integral calculus. 211 00:11:50,880 --> 00:11:54,240 Speaker 4: But we don't usually call it calculus because of I 212 00:11:54,280 --> 00:11:57,200 Speaker 4: don't know why. Actually, I mean, i'd think it is calculus. 213 00:11:57,400 --> 00:12:00,400 Speaker 4: So back to your question, what is calculus? I mean, 214 00:12:00,400 --> 00:12:03,280 Speaker 4: another way of talking about it is it's the systematic 215 00:12:03,440 --> 00:12:08,680 Speaker 4: use of infinity and infinitesimals to solve problems about curved shapes, 216 00:12:09,160 --> 00:12:13,200 Speaker 4: about motion at a non constant speed, and about anything 217 00:12:13,200 --> 00:12:15,920 Speaker 4: else that's changing in a non constant way. It could 218 00:12:15,920 --> 00:12:20,160 Speaker 4: be amount of virus in your bloodstream if you have HIV. 219 00:12:20,960 --> 00:12:23,600 Speaker 4: It could be a population you know, of the earth 220 00:12:23,679 --> 00:12:26,599 Speaker 4: going up. Any all of these things are grist for calculus. 221 00:12:26,760 --> 00:12:29,640 Speaker 1: So why is it that infinity is such an important 222 00:12:29,840 --> 00:12:33,480 Speaker 1: and powerful concept that lets us now tackle new problems 223 00:12:33,480 --> 00:12:35,520 Speaker 1: that we couldn't tackle before. I want to think about 224 00:12:35,520 --> 00:12:37,720 Speaker 1: it in terms of like the ball flying through the air, 225 00:12:38,120 --> 00:12:41,120 Speaker 1: and you're talking about something changing about its motion, but 226 00:12:41,240 --> 00:12:44,079 Speaker 1: you're also referring to like calculating the volume of spheres. 227 00:12:44,280 --> 00:12:47,440 Speaker 1: What's changing in that aspect? Why do we need infinity 228 00:12:47,600 --> 00:12:49,959 Speaker 1: to help us tackle these problems? I mean, the sphere 229 00:12:50,000 --> 00:12:53,079 Speaker 1: is not infinitely big, the ball is not moving infinitely fast. 230 00:12:53,200 --> 00:12:55,320 Speaker 1: What exactly does infinity come into play? 231 00:12:55,559 --> 00:13:00,800 Speaker 4: The main point is probably infinitesimals rather than infinity of testimals. 232 00:13:01,000 --> 00:13:04,520 Speaker 4: Let us pretend that a sphere is made up of 233 00:13:04,600 --> 00:13:08,559 Speaker 4: flat pieces, maybe easier to visualize with a circle. Some 234 00:13:08,640 --> 00:13:11,040 Speaker 4: of your listeners will have probably played this game. If 235 00:13:11,080 --> 00:13:13,080 Speaker 4: you put a bunch of dots on a circle and 236 00:13:13,080 --> 00:13:15,760 Speaker 4: connect them with straight lines, it almost looks like a 237 00:13:16,000 --> 00:13:18,080 Speaker 4: you know, it'll make a polygon. For instance, you could 238 00:13:18,120 --> 00:13:20,839 Speaker 4: picture putting four equally spaced points on a circle and 239 00:13:20,880 --> 00:13:23,160 Speaker 4: connect them. They'll make a square. If you put eight, 240 00:13:23,480 --> 00:13:25,920 Speaker 4: then you're making an octagon. You know, the more points 241 00:13:25,960 --> 00:13:29,240 Speaker 4: you put, the more it starts to look like a circle. 242 00:13:29,400 --> 00:13:33,200 Speaker 4: And from ancient times people had this intuition that a 243 00:13:33,240 --> 00:13:36,079 Speaker 4: circle is kind of like an infinite polygon. It's got 244 00:13:36,120 --> 00:13:41,360 Speaker 4: infinitely many corners. It's connected by sides that are infinitesimally small. 245 00:13:41,600 --> 00:13:44,360 Speaker 4: Now that doesn't seem right because we think of a 246 00:13:44,400 --> 00:13:47,440 Speaker 4: circle as perfectly smooth it doesn't have any corners at all. 247 00:13:47,520 --> 00:13:49,560 Speaker 4: But in a certain sense, it's the limit of a 248 00:13:49,600 --> 00:13:52,480 Speaker 4: polygon as you take more and more points on the 249 00:13:52,640 --> 00:13:55,960 Speaker 4: polygon at the corners and more and more sides. And 250 00:13:56,000 --> 00:13:58,840 Speaker 4: so that was the key insight that Archimedes had, that 251 00:13:58,880 --> 00:14:02,200 Speaker 4: you could calculate the area of a circle the formula 252 00:14:02,240 --> 00:14:04,440 Speaker 4: we all learn in high school pi are squared. He's 253 00:14:04,440 --> 00:14:06,360 Speaker 4: the first one to really prove that, and he did 254 00:14:06,360 --> 00:14:08,760 Speaker 4: it by thinking in this calculus way, by looking at 255 00:14:08,800 --> 00:14:12,360 Speaker 4: the limit of polygons. So similarly, in the case of Galileo, 256 00:14:12,480 --> 00:14:15,800 Speaker 4: in the motion of say javelin or something thrown that's 257 00:14:15,840 --> 00:14:19,080 Speaker 4: going to execute parabolic flight to make the problem easier, 258 00:14:19,160 --> 00:14:21,560 Speaker 4: gal Well, actually Galileo didn't really have this idea, but 259 00:14:21,640 --> 00:14:24,960 Speaker 4: later in Newton we would think of the parabola as 260 00:14:25,000 --> 00:14:30,240 Speaker 4: made up of infinitely many, infinitesimally small excursions along the 261 00:14:30,280 --> 00:14:33,960 Speaker 4: path that are basically straight lines in the particle or 262 00:14:34,000 --> 00:14:36,280 Speaker 4: the javelin is moving at a constant speed. For that 263 00:14:36,320 --> 00:14:39,520 Speaker 4: infinitesimal amount of time, So it breaks the problem down 264 00:14:39,560 --> 00:14:41,960 Speaker 4: into something that we already know how to solve. Everything 265 00:14:42,000 --> 00:14:45,760 Speaker 4: becomes distance equals right times time again, except only over 266 00:14:45,800 --> 00:14:47,160 Speaker 4: an infinitesimal segment. 267 00:14:47,360 --> 00:14:50,120 Speaker 1: So you solve a problem you can't solve by turning 268 00:14:50,160 --> 00:14:53,320 Speaker 1: it into an infinite number of problems that you can solve. 269 00:14:53,400 --> 00:14:57,320 Speaker 4: Bingo, you've really encapsulated the heart of calculus in that sense, 270 00:14:57,520 --> 00:15:00,800 Speaker 4: in infinite powers. I called that the infinity principle that 271 00:15:00,960 --> 00:15:05,320 Speaker 4: to solve any difficult problem involving curved shapes or these 272 00:15:05,360 --> 00:15:09,680 Speaker 4: complicated motions, if you reconceptualize it as an infinite number 273 00:15:09,800 --> 00:15:13,960 Speaker 4: of smaller, simpler problems in which you have straight lines 274 00:15:14,040 --> 00:15:17,240 Speaker 4: or motion at a constant speed, you can solve incredibly 275 00:15:17,280 --> 00:15:19,720 Speaker 4: hard and important problems with this trick. The only problem 276 00:15:19,800 --> 00:15:22,720 Speaker 4: is you have to somehow put all those infinitesimals back 277 00:15:22,760 --> 00:15:27,000 Speaker 4: together again to reconstitute the original motion or the original shape. 278 00:15:27,000 --> 00:15:29,760 Speaker 4: And that's the hard part of calculus. The subdivision part 279 00:15:29,840 --> 00:15:32,240 Speaker 4: is easy. It's the reassembly part that's hard. 280 00:15:32,160 --> 00:15:34,320 Speaker 1: Right, And so it's fascinating to me that infinity sort 281 00:15:34,320 --> 00:15:37,200 Speaker 1: of appears in two places there one as you chop 282 00:15:37,240 --> 00:15:40,040 Speaker 1: it into little pieces and then again as you put 283 00:15:40,080 --> 00:15:42,600 Speaker 1: it back together. And to me, it's fascinating because the 284 00:15:42,600 --> 00:15:46,280 Speaker 1: infinity appears in only the intermediate stages. Like the ball 285 00:15:46,320 --> 00:15:50,400 Speaker 1: doesn't have infinite velocity or infinite acceleration or infinite anything, 286 00:15:50,760 --> 00:15:55,240 Speaker 1: but we've used infinity in calculating its very non infinite motion, 287 00:15:55,600 --> 00:15:58,400 Speaker 1: and so it's fascinating to me that infinity is such 288 00:15:58,440 --> 00:16:01,720 Speaker 1: a powerful mathematical tool. We don't actually observe it in 289 00:16:01,840 --> 00:16:04,880 Speaker 1: nature really very often. Or some people might say, ever. 290 00:16:04,920 --> 00:16:07,040 Speaker 4: That's really a great point you could. I mean, if 291 00:16:07,080 --> 00:16:09,600 Speaker 4: we were doing this on video, your listeners would see 292 00:16:09,640 --> 00:16:12,520 Speaker 4: me smiling. I really like that. It's almost like in 293 00:16:12,560 --> 00:16:16,280 Speaker 4: those old cartoons with the enter stage left and exit 294 00:16:16,360 --> 00:16:20,280 Speaker 4: stage right, that infinity comes onto the stage and the infinitesimals, 295 00:16:20,360 --> 00:16:23,240 Speaker 4: but only as you sort of say, like an apparatus. 296 00:16:23,320 --> 00:16:25,440 Speaker 4: It lets us solve the problem, but it's sort of 297 00:16:25,560 --> 00:16:27,240 Speaker 4: not really there, it's not real. 298 00:16:27,400 --> 00:16:30,400 Speaker 1: In physics, we're often seeing infinities in the final answer 299 00:16:30,640 --> 00:16:33,240 Speaker 1: as a sign of failure. Right in particle physics, a 300 00:16:33,320 --> 00:16:37,479 Speaker 1: prediction of infinity is unphysical. You can't have infinite probabilities 301 00:16:37,520 --> 00:16:39,920 Speaker 1: for some outcome in quantum mechanics, or you can't have 302 00:16:39,960 --> 00:16:42,840 Speaker 1: an infinite force on a particle, and in general relativity 303 00:16:42,960 --> 00:16:46,120 Speaker 1: we think of a prediction of a singularity infinite density 304 00:16:46,320 --> 00:16:48,840 Speaker 1: as the breakdown of the physical theory. We try to 305 00:16:48,840 --> 00:16:52,280 Speaker 1: avoid infinities. We hide them under renormalization whatever possible. So 306 00:16:52,320 --> 00:16:54,880 Speaker 1: then my question to you is, in your mind, are 307 00:16:54,960 --> 00:16:58,120 Speaker 1: these infinities real? I mean, do they just exist in 308 00:16:58,200 --> 00:17:01,160 Speaker 1: the intermediate steps of the mathmad methods we're using. Are 309 00:17:01,200 --> 00:17:04,040 Speaker 1: they only in our minds? Are they a half finished calculation? 310 00:17:04,680 --> 00:17:07,960 Speaker 1: Or is this something real about the universe that calculus 311 00:17:08,000 --> 00:17:11,600 Speaker 1: is capturing, This smooth and infinitely varying motion of a 312 00:17:11,600 --> 00:17:14,399 Speaker 1: ball or changing of the velocity of a planet. Is 313 00:17:14,440 --> 00:17:16,800 Speaker 1: infinity real? Is it part of our minds? 314 00:17:16,840 --> 00:17:19,320 Speaker 4: Such a great, deep question. I don't even know what 315 00:17:19,359 --> 00:17:21,760 Speaker 4: I'm going to say to the answer. I mean, I've 316 00:17:21,800 --> 00:17:24,359 Speaker 4: been thinking about this for forty to fifty years, and 317 00:17:24,440 --> 00:17:27,120 Speaker 4: I still don't really know what the answer is. I mean, 318 00:17:27,200 --> 00:17:32,480 Speaker 4: the principal person in me, the philosophically tenable person, wants 319 00:17:32,520 --> 00:17:35,600 Speaker 4: to say it's not real, it's a fiction, it's a 320 00:17:35,680 --> 00:17:38,760 Speaker 4: useful device. Let's just try to make that argument first, 321 00:17:38,840 --> 00:17:42,080 Speaker 4: before the more wild eyed person in me makes the 322 00:17:42,119 --> 00:17:46,680 Speaker 4: counter argument. So the rational person would say, yeah, I mean, 323 00:17:46,960 --> 00:17:52,360 Speaker 4: from our best understanding of physics today, there are no infinitesimals. 324 00:17:52,400 --> 00:17:56,880 Speaker 4: You can't subdivide matter arbitrarily finely. That's the whole concept 325 00:17:56,920 --> 00:18:00,440 Speaker 4: of atoms, those things which are indivisible. You guys tell us, 326 00:18:01,240 --> 00:18:03,520 Speaker 4: I say you. The physicists tell us that there is 327 00:18:03,560 --> 00:18:07,159 Speaker 4: even a smallest amount of time and space that is 328 00:18:07,200 --> 00:18:09,919 Speaker 4: referred to as the Plank scale, the smallest. You know, 329 00:18:09,960 --> 00:18:12,560 Speaker 4: we don't really, of course, I believe understand how to 330 00:18:12,640 --> 00:18:17,200 Speaker 4: unify quantum theory. Yet with general relativity there is candidates. 331 00:18:17,200 --> 00:18:20,639 Speaker 4: But anyway, the cool thing is that, just on dimensional grounds, 332 00:18:20,760 --> 00:18:23,320 Speaker 4: if you look at the fundamental constants like the speed 333 00:18:23,359 --> 00:18:27,160 Speaker 4: of light and planks constant that governs quantum phenomena, and 334 00:18:27,320 --> 00:18:30,879 Speaker 4: Newton's gravitational constant for the strength of gravity, those can 335 00:18:30,920 --> 00:18:33,679 Speaker 4: only be put together in one way to make a 336 00:18:33,800 --> 00:18:36,280 Speaker 4: unit of length. That's the plank length, and it's about 337 00:18:36,280 --> 00:18:39,720 Speaker 4: ten to the minus thirty five meters, And that's sort 338 00:18:39,720 --> 00:18:43,600 Speaker 4: of the smallest conceivable distance that has any physical meaning. 339 00:18:43,800 --> 00:18:45,880 Speaker 4: Wouldn't you say, whatever the theory ends up. 340 00:18:45,840 --> 00:18:49,080 Speaker 1: Being, that's certainly an attempt to describe what might be 341 00:18:49,480 --> 00:18:53,359 Speaker 1: the shortest distance. In my view, it's a not very 342 00:18:53,480 --> 00:18:56,480 Speaker 1: clever attempt, but also the most clever attempt we have. 343 00:18:57,040 --> 00:18:59,119 Speaker 1: We have no better way to do it, and so 344 00:18:59,240 --> 00:19:00,919 Speaker 1: this is the only thing. You know, we do this 345 00:19:00,960 --> 00:19:02,879 Speaker 1: all the time in physics. We say, let's start with 346 00:19:02,880 --> 00:19:04,960 Speaker 1: the most naive idea and then try to build on it, 347 00:19:05,000 --> 00:19:07,640 Speaker 1: and we're sort of still there with the shortest distance, 348 00:19:07,840 --> 00:19:09,280 Speaker 1: you know. I mean, if you try to estimate, like 349 00:19:09,600 --> 00:19:12,400 Speaker 1: how many candy bars a person eats in a year, 350 00:19:12,720 --> 00:19:15,280 Speaker 1: just by combining various quantities with the right units, you 351 00:19:15,359 --> 00:19:17,000 Speaker 1: might get an answer that's off by a factor of 352 00:19:17,040 --> 00:19:19,600 Speaker 1: a thousand, and that would feel like a pretty wrong answer. 353 00:19:19,600 --> 00:19:21,000 Speaker 1: In the case of the plank length, I think we're 354 00:19:21,040 --> 00:19:24,320 Speaker 1: just sort of groping generally for where in the space 355 00:19:24,440 --> 00:19:26,880 Speaker 1: that answer might be. But I think the point you're 356 00:19:26,920 --> 00:19:29,840 Speaker 1: making is we have the sense that the universe is 357 00:19:30,000 --> 00:19:32,840 Speaker 1: discrete and not continuous. E Quanto mechanics tells us that 358 00:19:32,880 --> 00:19:37,359 Speaker 1: you can't infinitely chop up the universe, and therefore mathematics 359 00:19:37,359 --> 00:19:41,560 Speaker 1: of calculus that assumes that might not actually be describing 360 00:19:41,560 --> 00:19:42,920 Speaker 1: what's happening in the universe. 361 00:19:43,160 --> 00:19:45,120 Speaker 4: Fine, I mean, I take your point that we don't 362 00:19:45,320 --> 00:19:47,280 Speaker 4: know that the plank length of ten to the minus 363 00:19:47,359 --> 00:19:49,240 Speaker 4: thirty five is right. There could be factors of a 364 00:19:49,320 --> 00:19:51,679 Speaker 4: thousand in one direction or another or more. I mean, 365 00:19:51,720 --> 00:19:54,919 Speaker 4: we don't really know what the prefactor is, so okay, 366 00:19:55,160 --> 00:19:59,400 Speaker 4: I accept that. Nevertheless, as you say, also from quantum theory, 367 00:19:59,440 --> 00:20:02,280 Speaker 4: we have reasons to think that nature is fundamentally discrete 368 00:20:02,280 --> 00:20:05,440 Speaker 4: in every aspect, whether it's matter or space or time. 369 00:20:05,520 --> 00:20:07,720 Speaker 4: And so if that turns out to be correct, that 370 00:20:07,800 --> 00:20:12,440 Speaker 4: will mean that real numbers are not real. Real numbers 371 00:20:12,480 --> 00:20:15,640 Speaker 4: are the things that we use in calculus all day long. 372 00:20:15,720 --> 00:20:18,399 Speaker 4: They are numbers that have infinitely many digits after the 373 00:20:18,440 --> 00:20:21,200 Speaker 4: decimal point, like pi. Right, people know you can keep 374 00:20:21,200 --> 00:20:23,880 Speaker 4: calculating and you'll never know all the digits of pi 375 00:20:23,960 --> 00:20:26,639 Speaker 4: because there's infinitely many of them. Is that real? Like 376 00:20:26,720 --> 00:20:28,920 Speaker 4: In fact, you could ask that question about all of math, 377 00:20:29,080 --> 00:20:31,560 Speaker 4: our circles real, you'd have to say no. Circles are 378 00:20:31,560 --> 00:20:33,880 Speaker 4: not real either, because as you zoom in on them, 379 00:20:34,160 --> 00:20:37,480 Speaker 4: you know what's there. It's all jiggly and there's fluctuations 380 00:20:37,480 --> 00:20:40,480 Speaker 4: of the subatomic particles. So there's no material circle in 381 00:20:40,520 --> 00:20:44,080 Speaker 4: the real world. But nevertheless, going back to Plato or others, 382 00:20:44,160 --> 00:20:46,479 Speaker 4: we can think about perfection. In our minds, we can 383 00:20:46,520 --> 00:20:48,879 Speaker 4: think about the concept of a perfect circle, and we 384 00:20:48,920 --> 00:20:51,399 Speaker 4: can think about the concept of pie, and even the 385 00:20:51,440 --> 00:20:55,040 Speaker 4: concept of infinity. And this is the uncanny part. These 386 00:20:55,080 --> 00:20:58,359 Speaker 4: things are not real from the standpoint of physics, yet 387 00:20:58,640 --> 00:21:02,120 Speaker 4: they give us our best understanding of the physical universe 388 00:21:02,200 --> 00:21:04,840 Speaker 4: that we've achieved, you know, as a species. And that's 389 00:21:04,880 --> 00:21:07,080 Speaker 4: just a fact. I mean, that's just a historical fact. 390 00:21:07,080 --> 00:21:11,680 Speaker 4: The calculus based on this fiction of infinitely subdivisible quantities 391 00:21:11,920 --> 00:21:14,920 Speaker 4: works pretty darn well. While I was walking my dog 392 00:21:14,960 --> 00:21:16,880 Speaker 4: this morning, I tried to figure out how many orders 393 00:21:16,920 --> 00:21:19,560 Speaker 4: of magnitude if you tell us the universe is about 394 00:21:19,600 --> 00:21:23,440 Speaker 4: ten to the twenty five meters big the visible universe, 395 00:21:23,440 --> 00:21:25,880 Speaker 4: that's the estimate I looked. According to when I asked 396 00:21:25,960 --> 00:21:28,560 Speaker 4: Siri on my iPhone, she said, the visible universe ten 397 00:21:28,600 --> 00:21:32,399 Speaker 4: to the twenty five meters, and the typical scale of 398 00:21:32,400 --> 00:21:34,920 Speaker 4: a hydrogen atom is something like ten to the minus 399 00:21:34,960 --> 00:21:38,160 Speaker 4: ten meters. So you've got thirty five orders of magnitude, 400 00:21:38,800 --> 00:21:41,280 Speaker 4: very well described by calculus, all the way from the 401 00:21:41,320 --> 00:21:45,200 Speaker 4: Schrodinger equation at the lowest scale to general relativity at 402 00:21:45,200 --> 00:21:48,320 Speaker 4: the highest scale, all built on calculus. So it's kind 403 00:21:48,359 --> 00:21:51,359 Speaker 4: of capturing the truth. Okay, you couldn't. Now it's going 404 00:21:51,400 --> 00:21:53,800 Speaker 4: to start screwing up at the scale of quantum gravity, 405 00:21:53,800 --> 00:21:56,280 Speaker 4: whatever that ends up being, we think. But I think 406 00:21:56,280 --> 00:22:00,399 Speaker 4: that's a pretty good notch in the belt of calculous 407 00:22:00,440 --> 00:22:02,800 Speaker 4: that it works over such a vast range of scales. 408 00:22:02,920 --> 00:22:06,159 Speaker 1: Absolutely, it's incredible because it powers not just you know, 409 00:22:06,280 --> 00:22:09,200 Speaker 1: quantum field theory, which is full of integrals, but also 410 00:22:09,320 --> 00:22:12,919 Speaker 1: general relativity and talking about you know, galaxies and black holes. 411 00:22:13,000 --> 00:22:15,440 Speaker 1: All Right, I have a lot more questions about math 412 00:22:15,520 --> 00:22:18,119 Speaker 1: and physics for our guest, but first, let's take a 413 00:22:18,240 --> 00:22:25,560 Speaker 1: quick break. With big wireless providers, what you see is 414 00:22:25,680 --> 00:22:28,199 Speaker 1: never what you get. Somewhere between the store and your 415 00:22:28,200 --> 00:22:30,399 Speaker 1: first month's bill, the price you thoughts you were paying 416 00:22:30,560 --> 00:22:34,040 Speaker 1: magically skyrockets. With mint Mobile, You'll never have to worry 417 00:22:34,080 --> 00:22:37,359 Speaker 1: about gotcha's ever again. When mint Mobile says fifteen dollars 418 00:22:37,400 --> 00:22:39,959 Speaker 1: a month for a three month plan, they really mean it. 419 00:22:40,040 --> 00:22:42,480 Speaker 1: I've used mint Mobile and the call quality is always 420 00:22:42,520 --> 00:22:45,080 Speaker 1: so crisp and so clear I can recommend it to you, 421 00:22:45,320 --> 00:22:48,080 Speaker 1: So say bye bye to your overpriced wireless plans, jaw 422 00:22:48,160 --> 00:22:50,760 Speaker 1: dropping monthly bills and unexpected overages. 423 00:22:50,840 --> 00:22:51,679 Speaker 4: You can use your. 424 00:22:51,560 --> 00:22:54,159 Speaker 1: Own phone with any mint Mobile plan and bring your 425 00:22:54,200 --> 00:22:57,239 Speaker 1: phone number along with your existing contacts. So dit your 426 00:22:57,240 --> 00:22:59,800 Speaker 1: overpriced wireless with mint Mobiles deal and get three months 427 00:22:59,840 --> 00:23:02,720 Speaker 1: of premium wireless service for fifteen bucks a month. To 428 00:23:02,760 --> 00:23:04,720 Speaker 1: get this new customer offer in your new three month 429 00:23:04,760 --> 00:23:06,840 Speaker 1: premium wireless plan for just fifteen bucks a month, go 430 00:23:06,880 --> 00:23:10,240 Speaker 1: to mintmobile dot com slash universe. That's mintmobile dot com 431 00:23:10,240 --> 00:23:12,920 Speaker 1: slash universe. Cut your wireless build to fifteen bucks a month. 432 00:23:12,920 --> 00:23:15,920 Speaker 1: At mintmobile dot com slash universe. Forty five dollars upfront 433 00:23:15,920 --> 00:23:18,840 Speaker 1: payment required equivalent to fifteen dollars per month new customers 434 00:23:18,840 --> 00:23:21,320 Speaker 1: on first three month plan only speeds slower about forty 435 00:23:21,320 --> 00:23:24,280 Speaker 1: gigabytes On unlimited plan. Additional taxi speeds and restrictions apply. 436 00:23:24,400 --> 00:23:25,800 Speaker 1: See mint mobile for details. 437 00:23:25,960 --> 00:23:29,040 Speaker 5: AI might be the most important new computer technology ever. 438 00:23:29,280 --> 00:23:32,520 Speaker 5: It's storming every industry and literally billions of dollars are 439 00:23:32,520 --> 00:23:36,760 Speaker 5: being invested, so buckle up. The problem is that AI 440 00:23:36,880 --> 00:23:39,680 Speaker 5: needs a lot of speed and processing power, So how 441 00:23:39,720 --> 00:23:42,880 Speaker 5: do you compete without cost spiraling out of control. It's 442 00:23:42,880 --> 00:23:45,199 Speaker 5: time to upgrade to the next generation of the cloud, 443 00:23:45,520 --> 00:23:50,720 Speaker 5: Oracle Cloud Infrastructure or OCI OCI is a single platform 444 00:23:50,760 --> 00:23:55,720 Speaker 5: for your infrastructure, database, application development, and AI needs. OCI 445 00:23:55,760 --> 00:23:58,879 Speaker 5: has fourty eight times the bandwidth of other clouds, offers 446 00:23:58,920 --> 00:24:02,240 Speaker 5: one consistent price instead of variable regional pricing, and of 447 00:24:02,280 --> 00:24:05,359 Speaker 5: course nobody does data better than Oracle. So now you 448 00:24:05,400 --> 00:24:07,760 Speaker 5: can train your AI models at twice the speed and 449 00:24:07,880 --> 00:24:10,119 Speaker 5: less than half the cost of other clouds. If you 450 00:24:10,200 --> 00:24:12,600 Speaker 5: want to do more and spend less, like Uber eight 451 00:24:12,720 --> 00:24:15,280 Speaker 5: y eight and Data Bricks Mosaic, take a free test 452 00:24:15,359 --> 00:24:19,520 Speaker 5: drive of OCI at Oracle dot com slash strategic. That's 453 00:24:19,600 --> 00:24:24,560 Speaker 5: Oracle dot com slash Strategic Oracle dot com slash Strategic. 454 00:24:24,840 --> 00:24:27,720 Speaker 1: If you love iPhone, you'll love Apple Card. It's the 455 00:24:27,800 --> 00:24:31,679 Speaker 1: credit card designed for iPhone. It gives you unlimited daily 456 00:24:31,800 --> 00:24:34,760 Speaker 1: cash back that can earn four point four zero percent 457 00:24:34,920 --> 00:24:37,720 Speaker 1: annual percentage yield. When you open a high Yield savings 458 00:24:37,760 --> 00:24:41,320 Speaker 1: account through Applecard, apply for Applecard in the wallet app, 459 00:24:41,440 --> 00:24:44,959 Speaker 1: subject to credit approval. Savings is available to Applecard owners 460 00:24:44,960 --> 00:24:48,240 Speaker 1: subject to eligibility. Apple Card and Savings by Goldman Sachs 461 00:24:48,280 --> 00:24:51,679 Speaker 1: Bank USA Salt Lake City Branch Member FDIC terms and 462 00:24:51,760 --> 00:24:54,320 Speaker 1: more at applecard dot com. When you pop a piece 463 00:24:54,359 --> 00:24:56,840 Speaker 1: of cheese into your mouth, or enjoy a rich spoonful 464 00:24:56,880 --> 00:24:59,880 Speaker 1: of Greek yogurt. You're probably not thinking about the vin 465 00:25:00,119 --> 00:25:03,159 Speaker 1: mental impact of each and every bite, but the people 466 00:25:03,160 --> 00:25:06,120 Speaker 1: in the dairy industry are. US Dairy has set themselves 467 00:25:06,200 --> 00:25:10,520 Speaker 1: some ambitious sustainability goals, including being greenhouse gas neutral by 468 00:25:10,560 --> 00:25:13,000 Speaker 1: twenty to fifty. That's why they're working hard every day 469 00:25:13,000 --> 00:25:15,920 Speaker 1: to find new ways to reduce waste, conserve natural resources, 470 00:25:15,920 --> 00:25:19,480 Speaker 1: and drive down greenhouse gas emissions. Take water, for example, 471 00:25:19,560 --> 00:25:22,639 Speaker 1: most dairy farms reuse water up to four times the 472 00:25:22,680 --> 00:25:25,920 Speaker 1: same water cools the milk, cleans equipment, washes the barn, 473 00:25:26,000 --> 00:25:29,720 Speaker 1: and irrigates the crops. How is US Dairy tackling greenhouse gases. 474 00:25:29,760 --> 00:25:32,760 Speaker 1: Many farms use anaerobic digestors that turn the methane from 475 00:25:32,800 --> 00:25:36,159 Speaker 1: maneure into renewable energy that can power farms, towns, and 476 00:25:36,240 --> 00:25:38,440 Speaker 1: electric cars. So the next time you grab a slice 477 00:25:38,480 --> 00:25:40,359 Speaker 1: of pizza or lick an ice cream cone, know that 478 00:25:40,440 --> 00:25:43,080 Speaker 1: dairy farmers and processors around the country are using the 479 00:25:43,160 --> 00:25:46,920 Speaker 1: latest practices and innovations to provide the nutrient dense dairy 480 00:25:46,960 --> 00:25:49,960 Speaker 1: products we love with less of an impact. Visit usdairy 481 00:25:50,000 --> 00:26:01,320 Speaker 1: dot com slash sustainability to learn more. Okay, we're back 482 00:26:01,359 --> 00:26:04,919 Speaker 1: and we're talking with Professor Steve Strogatz about why math 483 00:26:05,080 --> 00:26:08,359 Speaker 1: is so important for physics. And it makes me think 484 00:26:08,480 --> 00:26:12,120 Speaker 1: about the connection in physics and math of the concept 485 00:26:12,160 --> 00:26:15,679 Speaker 1: of emergence. You know, some simple behavior at the scale 486 00:26:15,720 --> 00:26:17,840 Speaker 1: of like me and you or a bowl of soup 487 00:26:18,240 --> 00:26:22,680 Speaker 1: that neatly and compactly summarizes the almost infinite details going 488 00:26:22,720 --> 00:26:25,359 Speaker 1: on underneath. I mean, even if you don't believe that 489 00:26:25,520 --> 00:26:28,440 Speaker 1: a ball is infinitely divisible into bits, we know this 490 00:26:28,600 --> 00:26:31,119 Speaker 1: a huge number of bits with a huge number of details. 491 00:26:31,160 --> 00:26:34,520 Speaker 1: But it's almost like the equations and the simplicity of calculus, 492 00:26:34,560 --> 00:26:37,719 Speaker 1: the parabolic motion of that ball emerge somehow from all 493 00:26:37,760 --> 00:26:40,520 Speaker 1: of these infinite testimals doing their bit together to tell 494 00:26:40,520 --> 00:26:43,440 Speaker 1: a fairly simple story. And in physics, to me, it's 495 00:26:43,440 --> 00:26:46,640 Speaker 1: something of a mystery, like why this happens? Why can 496 00:26:46,680 --> 00:26:50,159 Speaker 1: we describe the universe in simple mathematical stories when we 497 00:26:50,240 --> 00:26:53,320 Speaker 1: know that the details are crazy and gory and intense, 498 00:26:53,480 --> 00:26:55,919 Speaker 1: and calculus really wraps this up. So do you have 499 00:26:55,960 --> 00:26:58,080 Speaker 1: an instinct or an intuition or even a guess for 500 00:26:58,520 --> 00:27:02,520 Speaker 1: why it's possible to rank go these almost infinities into 501 00:27:02,560 --> 00:27:05,400 Speaker 1: fairly simple stories that make sense to our human minds. 502 00:27:05,680 --> 00:27:07,480 Speaker 4: That's another tough one. 503 00:27:09,880 --> 00:27:11,280 Speaker 1: I don't mean to put you on the spot. 504 00:27:11,320 --> 00:27:14,560 Speaker 4: Well, they're all great questions, they're so deep. My first 505 00:27:14,600 --> 00:27:18,720 Speaker 4: instinct to that one after I don't know, is is 506 00:27:18,720 --> 00:27:21,879 Speaker 4: it a question of the measuring apparatus meaning us that 507 00:27:21,920 --> 00:27:25,280 Speaker 4: we happen to be macroscopic and so for us space 508 00:27:25,400 --> 00:27:28,720 Speaker 4: is perceived as smooth and time as smooth and so on. 509 00:27:28,760 --> 00:27:32,600 Speaker 4: But if we were Plank scale creatures, we wouldn't. You know, 510 00:27:32,680 --> 00:27:34,400 Speaker 4: of course we don't know what's going on down there, 511 00:27:34,400 --> 00:27:38,080 Speaker 4: but under our current understanding, you wouldn't have the concept 512 00:27:38,080 --> 00:27:41,200 Speaker 4: of space time as smooth. So, as you say it emerges, 513 00:27:41,440 --> 00:27:44,760 Speaker 4: it appears smooth only at our scale, or well down 514 00:27:44,760 --> 00:27:48,040 Speaker 4: to even atomic scales. But it's still twenty five orders 515 00:27:48,080 --> 00:27:50,520 Speaker 4: of magnitude bigger than the Plank scale to go to 516 00:27:50,560 --> 00:27:53,359 Speaker 4: the hydrogen atoms diameter. So yeah, it might just be 517 00:27:53,560 --> 00:27:57,000 Speaker 4: where you know, all those jitters, their quantum gravitational jitters 518 00:27:57,000 --> 00:27:59,639 Speaker 4: are invisible, they get smoothed out, or they start to 519 00:27:59,640 --> 00:28:03,480 Speaker 4: look space time emerges. Right. That's the latest talk that 520 00:28:03,600 --> 00:28:06,760 Speaker 4: space time as a manifold in the jargon of differential 521 00:28:06,760 --> 00:28:10,399 Speaker 4: geometry as this smooth structure. That's another fiction. That's an 522 00:28:10,440 --> 00:28:14,560 Speaker 4: emergent property of something about quantum fluctuations, maybe having to 523 00:28:14,560 --> 00:28:17,480 Speaker 4: do with entanglement. Anyway, I don't know about that stuff. 524 00:28:17,520 --> 00:28:19,760 Speaker 4: You probably have other guests who could address that better. 525 00:28:19,840 --> 00:28:23,800 Speaker 4: But yeah, so we're probably studying the emergent theory that 526 00:28:24,200 --> 00:28:27,879 Speaker 4: just the way thermodynamics works well, even those statistical mechanics 527 00:28:27,920 --> 00:28:32,240 Speaker 4: is the deeper theory calculus and all of smooth classical physics, 528 00:28:32,240 --> 00:28:35,520 Speaker 4: and even the smooth parts of quantum physics, say the 529 00:28:35,560 --> 00:28:39,160 Speaker 4: Schrodinger equation or the direct equation, those things are emergent. 530 00:28:39,240 --> 00:28:41,280 Speaker 4: But I guess your question is why does emergence work 531 00:28:41,360 --> 00:28:44,360 Speaker 4: so well, that's something about a different branch of math, 532 00:28:44,400 --> 00:28:48,240 Speaker 4: that's about statistics, about laws of large numbers. And it's 533 00:28:48,280 --> 00:28:50,880 Speaker 4: a very fortunate accident. I mean, maybe it's not an accident. 534 00:28:50,880 --> 00:28:54,560 Speaker 4: Maybe we couldn't exist as intelligent creatures except at that scale. 535 00:28:54,640 --> 00:28:58,520 Speaker 4: If we were these hypothetical quantum gravitational scale creatures at 536 00:28:58,520 --> 00:29:01,080 Speaker 4: the Plank scale, we'd be so it would be hard 537 00:29:01,080 --> 00:29:03,320 Speaker 4: to keep a thought in our heads. You know what 538 00:29:03,560 --> 00:29:05,360 Speaker 4: I mean, I'm being silly. We wouldn't have heads. 539 00:29:06,200 --> 00:29:08,760 Speaker 1: Podcast episodes would be ten to the minus thirty four 540 00:29:08,800 --> 00:29:09,400 Speaker 1: seconds long. 541 00:29:13,040 --> 00:29:16,280 Speaker 4: So I guess I'm giving an anthropic principle style argument here, 542 00:29:16,280 --> 00:29:18,920 Speaker 4: aren't they. But it's hard to answer these deep questions. 543 00:29:18,960 --> 00:29:20,640 Speaker 1: It is hard, and to me it really goes to 544 00:29:20,680 --> 00:29:23,800 Speaker 1: the heart of these questions about whether we are describing 545 00:29:23,840 --> 00:29:27,320 Speaker 1: the universe as it is or just our view of it, 546 00:29:27,360 --> 00:29:30,520 Speaker 1: and whether our view of it is somehow human centric 547 00:29:30,640 --> 00:29:33,000 Speaker 1: in a way that we can't unravel and can't peel 548 00:29:33,120 --> 00:29:36,080 Speaker 1: back because we only have our human view and the 549 00:29:36,080 --> 00:29:38,840 Speaker 1: appearance of calculus and like short simple stories to me 550 00:29:38,960 --> 00:29:41,600 Speaker 1: like our interesting clue to grab onto. So let me 551 00:29:41,600 --> 00:29:43,600 Speaker 1: steer us back the other direction. Because we've sort of 552 00:29:43,760 --> 00:29:46,920 Speaker 1: described calculus as a useful fiction. We've said it's a 553 00:29:46,960 --> 00:29:49,120 Speaker 1: handy tool for doing calculations, but as you say, it 554 00:29:49,160 --> 00:29:51,920 Speaker 1: comes on the stage and disappears before the answer is revealed. 555 00:29:52,000 --> 00:29:55,320 Speaker 1: And yet it is really really powerful, right. Calculus and 556 00:29:55,320 --> 00:29:58,200 Speaker 1: math in general is sometimes described as like being unreasonably 557 00:29:58,240 --> 00:30:00,920 Speaker 1: effective in your book, I really like this line you wrote. 558 00:30:00,920 --> 00:30:03,880 Speaker 1: You said, what fascinates me as an applied mathematician is 559 00:30:03,920 --> 00:30:06,360 Speaker 1: the push and pull between the real world around us 560 00:30:06,520 --> 00:30:09,760 Speaker 1: and the ideal world in our heads. Phenomena out there 561 00:30:09,800 --> 00:30:13,440 Speaker 1: guide the mathematical questions we ask. Conversely, the math we 562 00:30:13,520 --> 00:30:17,520 Speaker 1: imagine sometimes foreshadows what actually happens out there in reality. 563 00:30:17,600 --> 00:30:20,880 Speaker 1: When it does, the effect is uncanny. And later you 564 00:30:20,920 --> 00:30:24,640 Speaker 1: wrote it's eerie. The calculus can mimic nature. So well, 565 00:30:25,080 --> 00:30:26,800 Speaker 1: can you elaborate on that a little bit? Why do 566 00:30:26,840 --> 00:30:29,960 Speaker 1: you think math is so good at describing the universe 567 00:30:30,000 --> 00:30:32,160 Speaker 1: if it's just sort of a fiction in our minds? 568 00:30:32,640 --> 00:30:35,440 Speaker 1: And why do we then describe it as unreasonable or 569 00:30:35,560 --> 00:30:38,640 Speaker 1: uncanny or eerie when that happens? Why are we surprised 570 00:30:38,680 --> 00:30:38,959 Speaker 1: by that? 571 00:30:39,200 --> 00:30:42,240 Speaker 4: Well? Should we stipulate that we believe in all this? 572 00:30:42,320 --> 00:30:44,360 Speaker 4: I mean, is it worth going into any case studies 573 00:30:44,360 --> 00:30:47,040 Speaker 4: of the eerie effectiveness? Or do you think we should 574 00:30:47,080 --> 00:30:48,040 Speaker 4: just assume that we know it? 575 00:30:48,160 --> 00:30:49,760 Speaker 1: No? Please give us some examples. 576 00:30:49,880 --> 00:30:52,000 Speaker 4: Well, okay, yeah, let's talk about a few. Because I 577 00:30:52,040 --> 00:30:54,640 Speaker 4: did feel myself recoiling a bit. I felt like you 578 00:30:54,680 --> 00:30:58,320 Speaker 4: were almost verging toward a kind of circular reasoning claim 579 00:30:58,440 --> 00:31:01,320 Speaker 4: that we as human beings can only think a certain 580 00:31:01,320 --> 00:31:04,120 Speaker 4: way or perceive certain things, and so it all kind 581 00:31:04,160 --> 00:31:07,240 Speaker 4: of comes out tidy because of our own limitations, like 582 00:31:07,280 --> 00:31:10,120 Speaker 4: we're convincing ourself. I don't think you were saying that exactly, 583 00:31:10,160 --> 00:31:12,360 Speaker 4: but if some people heard it like that, I would 584 00:31:12,360 --> 00:31:14,520 Speaker 4: have to push back on that. Because of the concept 585 00:31:14,520 --> 00:31:17,400 Speaker 4: of prediction. We use our math, We use all of 586 00:31:17,400 --> 00:31:21,320 Speaker 4: our scientific laws and observations to make predictions of things 587 00:31:21,320 --> 00:31:24,000 Speaker 4: we haven't seen before or haven't measured. And there's no 588 00:31:24,280 --> 00:31:27,800 Speaker 4: circular aspect to what we predict. Either nature does what 589 00:31:27,840 --> 00:31:30,120 Speaker 4: we predict or it doesn't. And there have been plenty 590 00:31:30,120 --> 00:31:32,920 Speaker 4: of cases of you know, flogiston theories and all kinds 591 00:31:32,920 --> 00:31:34,880 Speaker 4: of other things that turned out to be wrong. So 592 00:31:34,920 --> 00:31:37,320 Speaker 4: science is done in good faith. We make predictions and 593 00:31:37,360 --> 00:31:39,479 Speaker 4: they sometimes come out wrong. And yeah, I mean there 594 00:31:39,480 --> 00:31:41,760 Speaker 4: are old people who will hang onto the theory after 595 00:31:41,760 --> 00:31:43,400 Speaker 4: they should have given it up. But it's a self 596 00:31:43,400 --> 00:31:46,960 Speaker 4: correcting enterprise, it really is, I think over the long run. 597 00:31:47,160 --> 00:31:50,239 Speaker 4: So I don't think there's any circularity happening here. And 598 00:31:50,480 --> 00:31:53,080 Speaker 4: you know, for me, the eerie examples are things like, 599 00:31:53,360 --> 00:31:57,040 Speaker 4: you know, take Maxwell, James Clerk, Maxwell, who has these 600 00:31:57,040 --> 00:32:01,720 Speaker 4: empirical laws from people like Ampere and Faraday and I 601 00:32:01,720 --> 00:32:04,040 Speaker 4: don't know Bosavr. All these laws that we learn about 602 00:32:04,040 --> 00:32:07,720 Speaker 4: in electricity and magnetism courses for what happens with magnets, 603 00:32:07,720 --> 00:32:10,360 Speaker 4: with electric currents and circuits and stuff. So these laws 604 00:32:10,360 --> 00:32:13,880 Speaker 4: then could be rewritten in a certain mathematical language, and 605 00:32:13,960 --> 00:32:16,720 Speaker 4: Maxwell did that using the language at the time, which 606 00:32:16,800 --> 00:32:21,240 Speaker 4: was called quaternions, but nowadays we would use vectors vector calculus. 607 00:32:21,280 --> 00:32:23,800 Speaker 4: And he saw certain things in those laws that looked 608 00:32:23,840 --> 00:32:26,680 Speaker 4: a little contradictory to him. That led him to introduce 609 00:32:26,720 --> 00:32:29,560 Speaker 4: a new concept, the displacement current. And when he put 610 00:32:29,600 --> 00:32:33,040 Speaker 4: that in the known laws and started cranking the mathematical 611 00:32:33,120 --> 00:32:36,480 Speaker 4: crank just manipulating the equations. Now in the world of 612 00:32:36,520 --> 00:32:40,520 Speaker 4: pure idealization, in the world of calculus, he saw that 613 00:32:40,560 --> 00:32:44,400 Speaker 4: those equations predicted something, which is that electric fields and 614 00:32:44,440 --> 00:32:47,640 Speaker 4: magnetic fields could move through empty space, although for him 615 00:32:47,680 --> 00:32:50,120 Speaker 4: it was the ether, but nowadays we would say empty 616 00:32:50,120 --> 00:32:53,160 Speaker 4: space in this kind of dance, with the electric field 617 00:32:53,280 --> 00:32:56,000 Speaker 4: changing and generating a magnetic field that would change and 618 00:32:56,040 --> 00:32:58,720 Speaker 4: regenerate the electric field, and the whole thing would propagate 619 00:32:58,800 --> 00:33:01,400 Speaker 4: at a certain speed governed by an equation that in 620 00:33:01,760 --> 00:33:05,600 Speaker 4: calculus we call the wave equation. So he's predicting electromagnetic 621 00:33:05,600 --> 00:33:09,080 Speaker 4: waves those were not known. That's a prediction, and his 622 00:33:09,200 --> 00:33:11,920 Speaker 4: math gives him a prediction for the speed of those waves, 623 00:33:12,200 --> 00:33:14,680 Speaker 4: and when he calculates it using the known physics, it 624 00:33:14,680 --> 00:33:16,400 Speaker 4: comes out to be the speed of light. So it's 625 00:33:16,440 --> 00:33:18,640 Speaker 4: one of the biggest aha moments in the history of 626 00:33:18,720 --> 00:33:23,320 Speaker 4: humanity that light is an electromagnetic wave. And Maxwell's the 627 00:33:23,360 --> 00:33:25,760 Speaker 4: first to realize that, and it turns out it's right. 628 00:33:26,200 --> 00:33:28,760 Speaker 4: You know. Years later his predictions get checked out in 629 00:33:28,800 --> 00:33:33,400 Speaker 4: the lab, hurts measures that really are electromagnetic waves, and 630 00:33:33,440 --> 00:33:36,600 Speaker 4: pretty soon after that, Marconi and Tesla are building telegraphs 631 00:33:36,640 --> 00:33:39,680 Speaker 4: and we've got wireless communication across the ocean, and all 632 00:33:39,720 --> 00:33:42,160 Speaker 4: this stuff is real. But it was born out of 633 00:33:42,200 --> 00:33:45,400 Speaker 4: calculus combined with physics. Let's be clear. It's not calculus 634 00:33:45,440 --> 00:33:48,440 Speaker 4: on its own. It's calculus supplemented, not supplement I mean, 635 00:33:48,600 --> 00:33:50,920 Speaker 4: calculus are more like the supporting player. The real stars 636 00:33:50,960 --> 00:33:54,000 Speaker 4: are Michael Faraday and Ampere and the rest. But their 637 00:33:54,160 --> 00:33:57,680 Speaker 4: laws of nature have these logical implications that lead to 638 00:33:57,720 --> 00:33:59,800 Speaker 4: predictions that turn out to be right. And so what's 639 00:33:59,840 --> 00:34:03,120 Speaker 4: on canny there is that nature is obeying logic that's 640 00:34:03,240 --> 00:34:07,400 Speaker 4: not necessary right. This is puny primate logic. This is us. 641 00:34:07,440 --> 00:34:10,120 Speaker 4: We're not the best imaginable thing under the sun. But 642 00:34:10,200 --> 00:34:14,120 Speaker 4: our logic somehow is enough to make these predictions. And 643 00:34:14,160 --> 00:34:16,560 Speaker 4: you know, well, there's countless examples of this. So but 644 00:34:16,640 --> 00:34:18,280 Speaker 4: maybe that Maxwell one makes the point. 645 00:34:18,360 --> 00:34:20,680 Speaker 1: I'm wondering if you know anymore about the history of it, 646 00:34:20,719 --> 00:34:23,960 Speaker 1: because I've heard this story about Maxwell's AHA moment, and 647 00:34:24,000 --> 00:34:27,560 Speaker 1: I wonder historically, was there a moment. It's such an 648 00:34:27,640 --> 00:34:30,440 Speaker 1: incredible realization. I'd like to imagine that he was sitting 649 00:34:30,480 --> 00:34:32,960 Speaker 1: there by lantern light at his desk and it all 650 00:34:32,960 --> 00:34:35,640 Speaker 1: clicked together and he had this epiphany where like he 651 00:34:35,719 --> 00:34:38,080 Speaker 1: saw the universe in a way nobody'd ever seen it before. 652 00:34:38,120 --> 00:34:39,560 Speaker 1: Do you know if there was such a moment, if 653 00:34:39,560 --> 00:34:41,600 Speaker 1: we're sort of a gradual coming together. 654 00:34:41,640 --> 00:34:43,440 Speaker 4: I don't know. I want to know that too, And 655 00:34:43,520 --> 00:34:46,760 Speaker 4: that's funny. I have the same fantasy image of the lantern, 656 00:34:47,160 --> 00:34:50,880 Speaker 4: the little hovel in Scotland, So I don't know. I 657 00:34:50,920 --> 00:34:53,600 Speaker 4: think it is known. I think this is another point 658 00:34:53,600 --> 00:34:56,640 Speaker 4: that history of science is such a rich and detailed 659 00:34:56,680 --> 00:35:00,680 Speaker 4: and often non logical thing. Like we you and I 660 00:35:00,760 --> 00:35:02,840 Speaker 4: are telling ourselves this story a certain way, and I 661 00:35:02,920 --> 00:35:04,520 Speaker 4: just told it a certain way, and I don't really 662 00:35:04,520 --> 00:35:07,600 Speaker 4: know what I'm talking about. For instance, I read somewhere 663 00:35:07,600 --> 00:35:10,279 Speaker 4: fairly recently, that he knew that light was going to 664 00:35:10,360 --> 00:35:13,160 Speaker 4: turn out to be an electromagnetic wave before his math 665 00:35:13,200 --> 00:35:16,680 Speaker 4: showed him that just on dimensional grounds. You earlier were 666 00:35:16,719 --> 00:35:20,000 Speaker 4: talking about the Planck scale and the cancelation of units 667 00:35:20,000 --> 00:35:22,640 Speaker 4: and stuff, or not cancelation, but you can get arguments 668 00:35:22,680 --> 00:35:25,880 Speaker 4: based on dimensional just by monkeying around with units. I 669 00:35:25,880 --> 00:35:28,879 Speaker 4: think he knew that mew not and epsilon not, these 670 00:35:28,920 --> 00:35:32,200 Speaker 4: properties of the vacuum having to do with its magnetic 671 00:35:32,200 --> 00:35:34,800 Speaker 4: and electrical properties, that they could be combined in a 672 00:35:34,840 --> 00:35:36,880 Speaker 4: certain way to make a speed And I think he 673 00:35:36,920 --> 00:35:40,240 Speaker 4: did that calculation about a decade before he actually derived 674 00:35:40,239 --> 00:35:40,960 Speaker 4: the wave equation. 675 00:35:41,200 --> 00:35:43,360 Speaker 1: Wow, it it'd be delicious to understand the history of 676 00:35:43,400 --> 00:35:45,120 Speaker 1: that a little bit better. But I love the argument 677 00:35:45,160 --> 00:35:48,759 Speaker 1: you're making here that essentially the math guide to the physics, 678 00:35:48,760 --> 00:35:53,720 Speaker 1: that he saw something that wasn't symmetric, that looked imbalanced mathematically, 679 00:35:54,000 --> 00:35:56,720 Speaker 1: and he patched it up just because of his mathematical intuition, 680 00:35:56,880 --> 00:35:59,200 Speaker 1: and the physics sort of followed suit. That I was 681 00:35:59,200 --> 00:36:03,000 Speaker 1: a better discription of the universe because mathematically it hung 682 00:36:03,080 --> 00:36:06,480 Speaker 1: together more crisply than the previous ideas. That the math 683 00:36:06,640 --> 00:36:09,680 Speaker 1: really did guide us to truth about the universe? Is 684 00:36:09,719 --> 00:36:10,760 Speaker 1: that the core of the argument. 685 00:36:11,000 --> 00:36:13,880 Speaker 4: Yeah, And the part that is spooky is, look who's 686 00:36:13,920 --> 00:36:18,040 Speaker 4: behind it. It's this creature that has evolved on this 687 00:36:18,120 --> 00:36:21,719 Speaker 4: planet in an ordinary galaxy, you know. I mean, it's 688 00:36:21,719 --> 00:36:24,320 Speaker 4: not like we have godlike intelligence. The thing that's so 689 00:36:24,880 --> 00:36:28,279 Speaker 4: spooky is we're so bounded in our understanding. We can 690 00:36:28,400 --> 00:36:32,120 Speaker 4: understand so much through the help of this crazy fictional 691 00:36:32,200 --> 00:36:34,640 Speaker 4: thing that involves infinity. It's almost like we're in the 692 00:36:34,640 --> 00:36:37,920 Speaker 4: sweet spot for pleasure in doing science and math. If 693 00:36:37,960 --> 00:36:41,160 Speaker 4: we were much smarter than we are, we wouldn't be surprised. 694 00:36:41,200 --> 00:36:43,840 Speaker 4: Everything would be trivial, Like playing tic tac toe is 695 00:36:43,840 --> 00:36:46,640 Speaker 4: not interesting for someone who understands it, and so grown 696 00:36:46,680 --> 00:36:49,960 Speaker 4: ups don't play tic tac toe for fun because it's boring. 697 00:36:50,120 --> 00:36:52,759 Speaker 4: And if we were just a bit smarter, physics and 698 00:36:52,840 --> 00:36:55,680 Speaker 4: math might be boring in the same way. But it's 699 00:36:55,680 --> 00:36:58,160 Speaker 4: fun for us because we're in this place where we're 700 00:36:58,160 --> 00:37:00,680 Speaker 4: not as stupid as a lobster. I mean, a lobster 701 00:37:00,760 --> 00:37:04,920 Speaker 4: is not inventing calculus. We're at this happy resonant place 702 00:37:05,280 --> 00:37:09,040 Speaker 4: where we're smart enough to get it, but sort of 703 00:37:09,040 --> 00:37:11,240 Speaker 4: stupid enough to be surprised all the time. 704 00:37:12,640 --> 00:37:15,080 Speaker 1: It is amazing. It's a really fun game, but it's 705 00:37:15,200 --> 00:37:18,120 Speaker 1: also teaching us things about the universe, which is incredible. 706 00:37:18,160 --> 00:37:20,960 Speaker 1: As I was hearing you talk about that Scottish mathematician, 707 00:37:21,120 --> 00:37:24,719 Speaker 1: I was reminded of another Scotsman more than a century later, 708 00:37:24,760 --> 00:37:27,759 Speaker 1: Peter Higgs, who made sort of a similar realization. He 709 00:37:27,840 --> 00:37:31,239 Speaker 1: was looking at the mathematics of not just electromagnetism, but 710 00:37:31,360 --> 00:37:34,400 Speaker 1: electromagnetism and the weak force, how they clicked together, and 711 00:37:34,440 --> 00:37:37,640 Speaker 1: realizing there was a missing piece and predicting the existence 712 00:37:37,680 --> 00:37:39,560 Speaker 1: of a field we now call the Higgs field. So 713 00:37:39,920 --> 00:37:41,880 Speaker 1: you know, maybe it's something in the water in Scotland. 714 00:37:42,080 --> 00:37:45,279 Speaker 4: Ah. Well, it's another great example because it took a 715 00:37:45,320 --> 00:37:48,400 Speaker 4: long time for that prediction to be checked in the 716 00:37:48,480 --> 00:37:51,759 Speaker 4: lab and tremendous effort and cost from great teams of 717 00:37:51,840 --> 00:37:57,640 Speaker 4: physicists and engineers at the Large Hadron Collider. Is that right? Yeah? Detected? 718 00:37:57,800 --> 00:38:00,600 Speaker 4: So I didn't have to be there. And some things 719 00:38:00,640 --> 00:38:04,200 Speaker 4: aren't there, right, like supersymmetry. Is this other beautiful set 720 00:38:04,200 --> 00:38:06,520 Speaker 4: of ideas that so far has not turned out to 721 00:38:06,560 --> 00:38:09,600 Speaker 4: be in the experimental data. It may be in the future, 722 00:38:09,640 --> 00:38:11,720 Speaker 4: but I'm just saying that this is a very honest 723 00:38:11,840 --> 00:38:15,120 Speaker 4: enterprise in science. It's not circular reasoning. It's not like 724 00:38:15,160 --> 00:38:19,000 Speaker 4: we're convincing ourself. We're really doing fair play. And the 725 00:38:19,120 --> 00:38:22,480 Speaker 4: universe either does what we imagine or not, and frequently 726 00:38:22,520 --> 00:38:26,279 Speaker 4: and uncannily it does if we use calculus and feed in. 727 00:38:26,360 --> 00:38:27,919 Speaker 4: I mean, that's the other thing. Like you'll hear people 728 00:38:27,960 --> 00:38:30,920 Speaker 4: say calculus is a language or math is the language 729 00:38:30,920 --> 00:38:34,319 Speaker 4: of science. Partly true, but it's much more than that. 730 00:38:34,400 --> 00:38:38,479 Speaker 4: Math and calculus in particular are a calculating machine. They're 731 00:38:38,560 --> 00:38:42,400 Speaker 4: a logical prosthesis. I mean, there's something which lets us 732 00:38:42,440 --> 00:38:46,960 Speaker 4: take our logic again puny primate logic, and strengthen it 733 00:38:47,320 --> 00:38:51,239 Speaker 4: by introducing symbols and letting us do logical manipulations like 734 00:38:51,400 --> 00:38:53,960 Speaker 4: you know, solving equations. That kind of thing is a 735 00:38:53,960 --> 00:38:56,440 Speaker 4: big extension to what we can hold in our heads. 736 00:38:56,520 --> 00:38:58,640 Speaker 4: That's why we have paper and pencil. You can make 737 00:38:58,680 --> 00:39:01,120 Speaker 4: these arguments much more more elaborate than you could have 738 00:39:01,239 --> 00:39:04,000 Speaker 4: easily held. Like think of algebra. Before we had symbols 739 00:39:04,000 --> 00:39:06,040 Speaker 4: and it was all verbal, it was a much weaker thing. 740 00:39:06,160 --> 00:39:08,560 Speaker 4: So now we just shove these symbols around on paper. 741 00:39:08,600 --> 00:39:11,440 Speaker 4: According to certain rules, and out we get predictions for 742 00:39:11,920 --> 00:39:15,239 Speaker 4: electromagnetic waves or the existence of the Higgs particle. I 743 00:39:15,320 --> 00:39:17,880 Speaker 4: find that very uncanny. I just get I don't know 744 00:39:17,880 --> 00:39:19,839 Speaker 4: how else to say it. To me, it's the spookiest 745 00:39:19,840 --> 00:39:22,440 Speaker 4: and most profound thing there is that this works. And 746 00:39:22,480 --> 00:39:24,560 Speaker 4: I want to emphasize in case people are saying this 747 00:39:24,680 --> 00:39:27,280 Speaker 4: is just math. Why do I harp on calculus so much? 748 00:39:27,400 --> 00:39:29,920 Speaker 4: I really do think calculus has a singular place in 749 00:39:29,960 --> 00:39:33,080 Speaker 4: the landscape of math, in that the laws of nature 750 00:39:33,160 --> 00:39:36,840 Speaker 4: are written in a subdialect of math. It's calculus. And 751 00:39:37,040 --> 00:39:39,680 Speaker 4: even there it's the particular part of calculus we call 752 00:39:39,719 --> 00:39:43,400 Speaker 4: differential equations. So from f equals Ma and Newton to 753 00:39:43,480 --> 00:39:47,520 Speaker 4: Einstein's general relativity to Schrodinger's you know, wave equation, those 754 00:39:47,560 --> 00:39:50,560 Speaker 4: are all differential equations. So it's not like we're using 755 00:39:50,800 --> 00:39:54,440 Speaker 4: combinatorics or some other part of discrete math that is 756 00:39:54,480 --> 00:39:57,680 Speaker 4: not the language of the universe. Sorry, maybe it is 757 00:39:57,719 --> 00:40:00,200 Speaker 4: at the smallest scale, Okay, maybe it will turn out 758 00:40:00,200 --> 00:40:03,920 Speaker 4: the combinatorics is the answer to the Planck scale stuff, 759 00:40:04,000 --> 00:40:07,560 Speaker 4: and calculus is just this emergent, smoothed out version of 760 00:40:07,560 --> 00:40:10,160 Speaker 4: what's really going on, which is combinatorics if we get 761 00:40:10,160 --> 00:40:12,239 Speaker 4: down to the bottom. But for the thirty five orders 762 00:40:12,239 --> 00:40:16,520 Speaker 4: of magnitude that we've done science on so far, it's calculus. Baby. 763 00:40:18,800 --> 00:40:21,400 Speaker 1: Well. I had in my own aha moment as a 764 00:40:21,640 --> 00:40:25,360 Speaker 1: junior in quantum physics, seeing the prediction of properties of 765 00:40:25,400 --> 00:40:29,120 Speaker 1: the electron muon ow to ten decimal places, and then 766 00:40:29,160 --> 00:40:33,240 Speaker 1: seeing the experiments which verify those predictions digit after digit 767 00:40:33,280 --> 00:40:36,360 Speaker 1: after digit, and feeling for the first time that maybe 768 00:40:36,400 --> 00:40:39,759 Speaker 1: math wasn't just a description of what was happening out 769 00:40:39,800 --> 00:40:42,920 Speaker 1: there in our language, but it really was the essential 770 00:40:43,000 --> 00:40:46,640 Speaker 1: underlying machinery of the universe itself, that the universe was 771 00:40:46,800 --> 00:40:50,320 Speaker 1: using these laws, that we weren't describing them but revealing 772 00:40:50,360 --> 00:40:53,880 Speaker 1: them somehow. And I know that it's a philosophical position, 773 00:40:53,920 --> 00:40:56,360 Speaker 1: but I had this moment as an undergrad of feeling this, 774 00:40:56,480 --> 00:40:57,880 Speaker 1: and I thought of that moment when I read this 775 00:40:57,960 --> 00:41:01,520 Speaker 1: passage in your book. You wrote, quote, the results are 776 00:41:01,640 --> 00:41:04,759 Speaker 1: there waiting for us. They have been inherent in the 777 00:41:04,760 --> 00:41:08,000 Speaker 1: figures all along. We are not inventing them like Bob 778 00:41:08,080 --> 00:41:10,520 Speaker 1: Dylan or Tony Morrison, and we are not creating music 779 00:41:10,600 --> 00:41:13,520 Speaker 1: or novels that never existed before. We are discovering facts 780 00:41:13,520 --> 00:41:16,319 Speaker 1: that already exist. And as I was reading your book, 781 00:41:16,320 --> 00:41:18,560 Speaker 1: I was wondering, you know, Steve a realist or is 782 00:41:18,600 --> 00:41:20,799 Speaker 1: he not a realist? And I sort of went back 783 00:41:20,840 --> 00:41:22,840 Speaker 1: and forth a few times as I read these passages. 784 00:41:23,080 --> 00:41:26,120 Speaker 4: Oh, really, was I not clear where I stand on that? Well, 785 00:41:26,120 --> 00:41:28,239 Speaker 4: that's earlier what I was saying with these two people. 786 00:41:28,320 --> 00:41:30,440 Speaker 4: I guess I didn't make the argument for both sides 787 00:41:30,560 --> 00:41:33,200 Speaker 4: that there's the chicken hearted person in me who is 788 00:41:33,239 --> 00:41:35,319 Speaker 4: the one that thinks it's just a language and it's 789 00:41:35,440 --> 00:41:37,399 Speaker 4: just you know. But in my heart, I think it's 790 00:41:37,400 --> 00:41:40,480 Speaker 4: what you're calling realism, which is that the universe isn't 791 00:41:40,560 --> 00:41:44,000 Speaker 4: just described by calculus. The universe actually runs on calculus. 792 00:41:44,040 --> 00:41:46,200 Speaker 4: I really do, in my heart of hearts think that. 793 00:41:46,800 --> 00:41:48,880 Speaker 4: And I don't know why that would be true. I 794 00:41:48,920 --> 00:41:51,360 Speaker 4: think the answer could be, again some kind of anthropic 795 00:41:51,640 --> 00:41:55,000 Speaker 4: argument that a universe that doesn't run on math in 796 00:41:55,080 --> 00:41:58,680 Speaker 4: some way is such a disorganized, higgledy piggledy universe that 797 00:41:58,719 --> 00:42:02,840 Speaker 4: it can't support life intelligent enough to ask questions. So 798 00:42:02,880 --> 00:42:04,720 Speaker 4: I sort of think just the fact that we exist 799 00:42:04,760 --> 00:42:07,279 Speaker 4: and we're here pondering it tells you the universe has 800 00:42:07,320 --> 00:42:10,880 Speaker 4: to obey a certain amount of orderliness, and calculus is 801 00:42:10,920 --> 00:42:13,840 Speaker 4: going to come up in such universes. So it's not 802 00:42:13,880 --> 00:42:16,279 Speaker 4: the most convincing argument. I don't like that argument, but 803 00:42:16,320 --> 00:42:18,080 Speaker 4: that's the best I can do. I mean, obviously, you 804 00:42:18,080 --> 00:42:21,520 Speaker 4: could give a theological argument that God knew calculus better 805 00:42:21,520 --> 00:42:23,799 Speaker 4: than anybody and chose to make a universe that runs 806 00:42:23,800 --> 00:42:27,520 Speaker 4: on calculus. Okay, if that satisfies you, then that's that. 807 00:42:27,560 --> 00:42:29,440 Speaker 4: You could use that argument. But to me, that just 808 00:42:29,520 --> 00:42:31,600 Speaker 4: raises a lot more questions. But I don't have the 809 00:42:31,640 --> 00:42:34,120 Speaker 4: answers to why was it designed this way or built 810 00:42:34,120 --> 00:42:36,640 Speaker 4: this way, or why did it evolve to be this way? 811 00:42:36,680 --> 00:42:39,040 Speaker 4: I don't have any idea, But yeah, that's interesting. I 812 00:42:39,080 --> 00:42:41,719 Speaker 4: mean that ten digit example you give from quantum field theory, 813 00:42:41,719 --> 00:42:45,600 Speaker 4: from quantum electro dynamics, that's really the poster child for 814 00:42:45,800 --> 00:42:49,120 Speaker 4: the claim that the universe is running on math and 815 00:42:49,160 --> 00:42:51,799 Speaker 4: that we happen to have stumbled across that math. That's 816 00:42:51,840 --> 00:42:54,080 Speaker 4: also fun to think about that. Just think of the 817 00:42:54,120 --> 00:42:58,399 Speaker 4: story there's Archimedes in Syracuse pondering circles and spheres two 818 00:42:58,440 --> 00:43:02,160 Speaker 4: fifty BC, and he's stumbling across the math that turns 819 00:43:02,160 --> 00:43:07,400 Speaker 4: out to describe sub atomic particles like muons. Ultimately, a 820 00:43:07,400 --> 00:43:10,600 Speaker 4: few thousand years later, it's that same math and he 821 00:43:10,719 --> 00:43:14,080 Speaker 4: wasn't thinking about that. It's really spooky that that should work, 822 00:43:14,360 --> 00:43:15,040 Speaker 4: but it did. 823 00:43:15,280 --> 00:43:17,520 Speaker 1: It is pretty amazing. All right, I'm really excited about 824 00:43:17,520 --> 00:43:24,520 Speaker 1: these topics. But let's take another quick break. When you 825 00:43:24,560 --> 00:43:26,560 Speaker 1: pop a piece of cheese into your mouth, or enjoy 826 00:43:26,600 --> 00:43:29,880 Speaker 1: a rich spoonful of Greek yogurt, you're probably not thinking 827 00:43:29,920 --> 00:43:33,480 Speaker 1: about the environmental impact of each and every bite. But 828 00:43:33,520 --> 00:43:36,200 Speaker 1: the people in the dairy industry are. US Dairy has 829 00:43:36,239 --> 00:43:40,640 Speaker 1: set themselves some ambitious sustainability goals, including being greenhouse gas 830 00:43:40,719 --> 00:43:43,240 Speaker 1: neutral by twenty to fifty. That's why they're working hard 831 00:43:43,280 --> 00:43:45,760 Speaker 1: every day to find new ways to reduce waste, conserve 832 00:43:45,840 --> 00:43:49,600 Speaker 1: natural resources, and drive down greenhouse gas emissions. Take water, 833 00:43:49,640 --> 00:43:53,240 Speaker 1: for example, most dairy farms reuse water up to four times. 834 00:43:53,280 --> 00:43:56,680 Speaker 1: The same water cools the milk, cleans equipment, washes the barn, 835 00:43:56,760 --> 00:44:00,480 Speaker 1: and irrigates the crops. How is US dairy tackling greenhouse gases? 836 00:44:00,520 --> 00:44:03,520 Speaker 1: Many farms use anaerobic digestors that turn the methane from 837 00:44:03,520 --> 00:44:06,920 Speaker 1: maneuver into renewable energy that can power farms towns and 838 00:44:06,960 --> 00:44:09,200 Speaker 1: electric cars. So the next time you grab a slice 839 00:44:09,239 --> 00:44:11,120 Speaker 1: of pizza or lick an ice cream cone, know that 840 00:44:11,200 --> 00:44:13,840 Speaker 1: dairy farmers and processors around the country are using the 841 00:44:13,920 --> 00:44:17,680 Speaker 1: latest practices and innovations to provide the nutrient intents dairy 842 00:44:17,680 --> 00:44:20,359 Speaker 1: products we love with less of an impact. Visit us 843 00:44:20,480 --> 00:44:22,959 Speaker 1: dairy dot com slash sustainability to learn more. 844 00:44:24,160 --> 00:44:27,880 Speaker 6: Chum looking for excitement, Chumpbu Casino is here. Play anytime, 845 00:44:27,960 --> 00:44:30,440 Speaker 6: Play anywhere, Play on the train, play at the store, 846 00:44:30,520 --> 00:44:32,799 Speaker 6: play at home, Play when you're bored, Play today for 847 00:44:32,880 --> 00:44:35,160 Speaker 6: your chance to win and get daily bonuses when you 848 00:44:35,200 --> 00:44:35,640 Speaker 6: log in. 849 00:44:35,800 --> 00:44:37,560 Speaker 4: So what are you waiting for? Don't delay? 850 00:44:37,719 --> 00:44:39,440 Speaker 6: Chumpa Casino is free to play. 851 00:44:39,640 --> 00:44:42,720 Speaker 7: Experience social gameplay like never before. Go to Chumbuck Casino 852 00:44:42,800 --> 00:44:46,400 Speaker 7: right now to play hundreds of games, including online slots, Ango, Slingo, 853 00:44:46,480 --> 00:44:49,680 Speaker 7: and more. Live the chump A Life at chambacasino dot 854 00:44:49,680 --> 00:44:52,120 Speaker 7: com pwroom no part necessary. The word were prohibited by 855 00:44:52,160 --> 00:44:53,000 Speaker 7: loss he terms and conditions. 856 00:44:53,040 --> 00:44:53,480 Speaker 1: Eight plus. 857 00:44:54,000 --> 00:44:56,920 Speaker 8: California has millions of homes that could be damaged in 858 00:44:57,000 --> 00:45:00,920 Speaker 8: a strong earthquake. Older homes are especially vulnerable to quake damage, 859 00:45:01,080 --> 00:45:03,600 Speaker 8: so you may need to take steps to strengthen yours? 860 00:45:03,920 --> 00:45:06,400 Speaker 8: Does it strengthen your house? Dot com? To learn how 861 00:45:06,440 --> 00:45:09,640 Speaker 8: to strengthen your home and help protect it from damage. 862 00:45:10,000 --> 00:45:12,400 Speaker 8: The work may cost less than you think and can 863 00:45:12,480 --> 00:45:15,440 Speaker 8: often be done in just a few days. Strengthen your 864 00:45:15,520 --> 00:45:19,120 Speaker 8: home and help protect your family. Get prepared today and 865 00:45:19,200 --> 00:45:22,799 Speaker 8: worry less tomorrow. Does it strengthen your house? Dot com? 866 00:45:24,760 --> 00:45:28,120 Speaker 9: There are children, friends, and families walking, riding on paths 867 00:45:28,239 --> 00:45:30,360 Speaker 9: and roads every day. Remember they are real people with 868 00:45:30,480 --> 00:45:32,800 Speaker 9: loved ones who need them to get home safely. Protect 869 00:45:32,800 --> 00:45:35,840 Speaker 9: our cyclists and pedestrians because they're people too. Go safely, 870 00:45:35,920 --> 00:45:38,760 Speaker 9: California From the California Office of Traffic Safety and Caltrans. 871 00:45:47,160 --> 00:45:50,560 Speaker 1: Okay, we are here talking with Professor Steve's drogads about 872 00:45:50,600 --> 00:45:54,480 Speaker 1: why math and physics are so closely intertwined. In your 873 00:45:54,600 --> 00:45:57,320 Speaker 1: episode of The Joy of Why You inviewed Kevin Buzzard, 874 00:45:57,360 --> 00:46:00,880 Speaker 1: a mathematician, and he described math as a single player 875 00:46:01,000 --> 00:46:04,240 Speaker 1: puzzle game. And I was actually expecting you to object 876 00:46:04,280 --> 00:46:06,959 Speaker 1: a little bit because it makes it sound like math 877 00:46:07,080 --> 00:46:09,640 Speaker 1: is just this game we play. It's fun to use 878 00:46:09,680 --> 00:46:12,759 Speaker 1: to describe the universe, but not actually fundamentally important. It 879 00:46:12,840 --> 00:46:14,759 Speaker 1: makes it sound like Checkers or chess, you know, just 880 00:46:14,840 --> 00:46:18,240 Speaker 1: a game that we invented rather than something physical and true. 881 00:46:19,040 --> 00:46:22,000 Speaker 4: Well, that may be me As a podcast host, I 882 00:46:22,200 --> 00:46:24,959 Speaker 4: probably ought to push back more and maybe it would 883 00:46:24,960 --> 00:46:28,200 Speaker 4: make for lively or discussion. I try to be even handed, 884 00:46:28,280 --> 00:46:30,320 Speaker 4: unfair to the guest. And there is an aspect of 885 00:46:30,400 --> 00:46:34,279 Speaker 4: math that is game playing, especially in pure math, and 886 00:46:34,400 --> 00:46:37,719 Speaker 4: that's not to be sneezed at. Just playing games for 887 00:46:37,880 --> 00:46:40,960 Speaker 4: the intellectual pleasure of playing games and the fun and 888 00:46:41,040 --> 00:46:43,239 Speaker 4: the curiosity of how does the game turn out or 889 00:46:43,520 --> 00:46:45,480 Speaker 4: what happens if I change the rules in this way 890 00:46:45,600 --> 00:46:48,719 Speaker 4: or that way. That's all part of the scientific enterprise 891 00:46:49,000 --> 00:46:51,480 Speaker 4: as well as the mathematical enterprise. And it's a healthy 892 00:46:51,520 --> 00:46:53,120 Speaker 4: one for one thing. I mean, if you want to 893 00:46:53,160 --> 00:46:56,080 Speaker 4: be utilitarian about it, A lot of great discoveries in 894 00:46:56,200 --> 00:46:58,719 Speaker 4: science have come from playing games like that. You know, 895 00:46:58,880 --> 00:47:01,120 Speaker 4: you could think about all those centuries that we thought 896 00:47:01,160 --> 00:47:04,800 Speaker 4: Euclidean geometry was the one true geometry, and then people 897 00:47:04,880 --> 00:47:06,919 Speaker 4: started playing games and asked, well, what if we don't 898 00:47:06,960 --> 00:47:09,360 Speaker 4: have the parallel postulate? What if we allow, you know, 899 00:47:09,520 --> 00:47:12,400 Speaker 4: infinitely many parallel lines to a given line, or what 900 00:47:12,480 --> 00:47:14,239 Speaker 4: if we say there are no parallel lines to a 901 00:47:14,320 --> 00:47:16,880 Speaker 4: given line, you know, through a specific point. Well, then 902 00:47:16,920 --> 00:47:21,360 Speaker 4: you invent hyperbolic geometry and curved spherical or elliptic geometry. 903 00:47:21,520 --> 00:47:24,320 Speaker 4: Those are games for a few hundred years until it 904 00:47:24,360 --> 00:47:27,360 Speaker 4: turns out the universe uses them. In Einstein's work, so 905 00:47:27,600 --> 00:47:30,320 Speaker 4: you could say, let the people play the games, because 906 00:47:30,360 --> 00:47:32,200 Speaker 4: it's going to turn out that the universe is going 907 00:47:32,280 --> 00:47:34,239 Speaker 4: to use them, and they'll be very practical, you know. 908 00:47:34,400 --> 00:47:37,080 Speaker 4: Or similarly, games about prime numbers have led to the 909 00:47:37,360 --> 00:47:39,400 Speaker 4: way that we can do encryption on the internet for 910 00:47:39,480 --> 00:47:42,520 Speaker 4: all of our financial transactions or for keeping secrets. So 911 00:47:42,640 --> 00:47:45,960 Speaker 4: gameplaying is not to be sneezed out on utilitarian grounds. 912 00:47:46,000 --> 00:47:49,040 Speaker 4: It turns out it's often very practical and useful maybe 913 00:47:49,080 --> 00:47:51,759 Speaker 4: a few centuries later. But I wouldn't want to just 914 00:47:51,880 --> 00:47:55,200 Speaker 4: make the utilitarian argument. It's also part of the human spirit. 915 00:47:55,480 --> 00:47:57,640 Speaker 4: Just be curious for the sake of curiosity, and it 916 00:47:57,680 --> 00:47:59,720 Speaker 4: may never turn out to be useful, and that's okay. 917 00:48:00,239 --> 00:48:02,480 Speaker 4: That's what makes it good to be alive for me. 918 00:48:02,640 --> 00:48:05,759 Speaker 1: One way to make this question less philosophical and more 919 00:48:05,880 --> 00:48:09,200 Speaker 1: concrete is to think about aliens. I know it makes 920 00:48:09,239 --> 00:48:11,720 Speaker 1: people snicker to talk about aliens, but instead of asking 921 00:48:11,840 --> 00:48:14,680 Speaker 1: you know, is math universal or is it cultural? Which 922 00:48:14,760 --> 00:48:17,360 Speaker 1: is a question philosophers have been chewing on for millennia 923 00:48:17,480 --> 00:48:21,120 Speaker 1: without making that much progress. I wonder like, if technological 924 00:48:21,320 --> 00:48:24,880 Speaker 1: scientific aliens arrive, it's a question we're actually going to 925 00:48:24,960 --> 00:48:28,000 Speaker 1: have to face whether they do math. We asked Noam 926 00:48:28,080 --> 00:48:30,279 Speaker 1: Chomsky about it on the podcast recently, you know, how 927 00:48:30,320 --> 00:48:32,880 Speaker 1: do you get started talking to aliens in that scenario? 928 00:48:33,040 --> 00:48:35,360 Speaker 1: And he went with the math. He said we should 929 00:48:35,400 --> 00:48:39,200 Speaker 1: start with arithmetic because one plus one equals too everywhere, 930 00:48:39,680 --> 00:48:42,840 Speaker 1: And he was suggesting that any intelligent being in the 931 00:48:42,960 --> 00:48:45,719 Speaker 1: universe is going to end up being mathematical, which is 932 00:48:45,840 --> 00:48:48,880 Speaker 1: essentially making the argument that math is not just human right, 933 00:48:48,960 --> 00:48:51,239 Speaker 1: that it's part of the universe itself. So I don't 934 00:48:51,239 --> 00:48:52,880 Speaker 1: know if you've given this question any thought. What do 935 00:48:52,960 --> 00:48:55,520 Speaker 1: you think if aliens arrive? Are you volunteering to be 936 00:48:56,160 --> 00:48:58,640 Speaker 1: one of the envoys? And should we send our mathematicians 937 00:48:58,719 --> 00:48:59,760 Speaker 1: to talk to the aliens? 938 00:49:00,840 --> 00:49:03,279 Speaker 4: I've seen too many Twilight Zone episodes. I know how 939 00:49:03,360 --> 00:49:07,640 Speaker 4: this turns out, but yeah, I've seen the ending of 940 00:49:07,680 --> 00:49:10,480 Speaker 4: that one. Well, it's probably the best suggestion there is 941 00:49:11,400 --> 00:49:15,120 Speaker 4: that math would be the most universal possible language in 942 00:49:15,200 --> 00:49:18,080 Speaker 4: this scenario. I'm not totally convinced that they would know 943 00:49:18,160 --> 00:49:20,560 Speaker 4: about one plus one, because you could make up stories 944 00:49:20,600 --> 00:49:24,520 Speaker 4: about intelligent life based on plasma or fluid dynamics where 945 00:49:24,520 --> 00:49:26,960 Speaker 4: they don't have discrete particles, so they don't really have 946 00:49:27,160 --> 00:49:29,640 Speaker 4: one plus one. Maybe it's all continuum for them and 947 00:49:29,719 --> 00:49:33,520 Speaker 4: they would rather talk about calculus rather than I'm hammering 948 00:49:33,560 --> 00:49:36,120 Speaker 4: again on the discrete stuff. But no, I mean, basically, 949 00:49:36,200 --> 00:49:38,359 Speaker 4: if the point is that we would could communicate through 950 00:49:38,440 --> 00:49:41,680 Speaker 4: math better than any other way, yeah, maybe so. I 951 00:49:41,760 --> 00:49:43,680 Speaker 4: tend to think they would have to have some version 952 00:49:43,719 --> 00:49:46,040 Speaker 4: of math, or they couldn't have built their rocket ships 953 00:49:46,160 --> 00:49:48,920 Speaker 4: or teleportation devices or however they got here. I think 954 00:49:48,960 --> 00:49:51,240 Speaker 4: they have to have math. I do think the math 955 00:49:51,480 --> 00:49:53,560 Speaker 4: is inherent in the universe. I like the quote you 956 00:49:53,680 --> 00:49:56,600 Speaker 4: gave earlier. There's a psychological dimension to this that I 957 00:49:56,719 --> 00:49:59,080 Speaker 4: want to bring up, which is that there's what philosophers 958 00:49:59,160 --> 00:50:02,719 Speaker 4: talk about like philosophy, but there's also what working physicists 959 00:50:02,760 --> 00:50:06,160 Speaker 4: and mathematicians feel when they're doing math or making discoveries. 960 00:50:06,480 --> 00:50:09,040 Speaker 4: It really feels like the results are out there waiting 961 00:50:09,120 --> 00:50:11,480 Speaker 4: for you. I mean, maybe it's a fiction, maybe it's 962 00:50:11,520 --> 00:50:15,400 Speaker 4: a psychological self deception, but it's very profound and it 963 00:50:15,480 --> 00:50:18,160 Speaker 4: goes way back. Archimedes says it two thousand years ago. 964 00:50:18,280 --> 00:50:20,800 Speaker 4: He says that the things he discovers about the sphere 965 00:50:21,040 --> 00:50:23,960 Speaker 4: are not his inventions, they're inherent in the figures themselves. 966 00:50:24,239 --> 00:50:28,279 Speaker 4: So he expresses very clearly a philosophy of math, which 967 00:50:28,320 --> 00:50:30,520 Speaker 4: I find kind of heartwarming because it makes me feel 968 00:50:30,560 --> 00:50:33,040 Speaker 4: like I'm having a conversation with this person thousands of 969 00:50:33,120 --> 00:50:35,399 Speaker 4: years ago, and that he's feeling some of the same 970 00:50:35,480 --> 00:50:38,200 Speaker 4: things I'm feeling as a mathematician today. And also that 971 00:50:38,320 --> 00:50:40,560 Speaker 4: he's very humble that he doesn't know how to solve 972 00:50:40,600 --> 00:50:42,960 Speaker 4: certain problems, and he just says he hopes his methods 973 00:50:42,960 --> 00:50:46,280 Speaker 4: will help future generations solve the things that he cannot 974 00:50:46,320 --> 00:50:46,799 Speaker 4: figure out. 975 00:50:46,880 --> 00:50:48,480 Speaker 1: I think it's an important lesson there. I mean, we 976 00:50:48,520 --> 00:50:51,360 Speaker 1: can talk about math as inherent to the universe, but 977 00:50:51,560 --> 00:50:54,200 Speaker 1: also there's a human aspect to it. I mean, we 978 00:50:54,320 --> 00:50:57,800 Speaker 1: really appreciate the beauty of math the way we appreciate 979 00:50:57,840 --> 00:51:00,120 Speaker 1: the beauty of a gorgeous view from the top of 980 00:51:00,160 --> 00:51:02,160 Speaker 1: a mountain. Some of my favorite bits in your book 981 00:51:02,239 --> 00:51:05,640 Speaker 1: are when you write very elegantly about your appreciation for 982 00:51:05,840 --> 00:51:08,960 Speaker 1: understanding something and seeing things come together and making these 983 00:51:09,040 --> 00:51:11,920 Speaker 1: connections with ancient mathematicians and knowing that you have this 984 00:51:12,239 --> 00:51:14,360 Speaker 1: joy in common with them. I mean, I think a 985 00:51:14,400 --> 00:51:17,600 Speaker 1: lot of people often see math portrayed as like cold 986 00:51:17,680 --> 00:51:19,959 Speaker 1: and crisp and rigorous. But in your book you write 987 00:51:19,960 --> 00:51:23,399 Speaker 1: about the creativity necessary to play this game. You said, 988 00:51:23,600 --> 00:51:27,920 Speaker 1: quote rigorcomes second, Math is creative. Why do you think 989 00:51:27,960 --> 00:51:30,360 Speaker 1: that is that we find beauty in math? Is it 990 00:51:30,440 --> 00:51:33,000 Speaker 1: the same reason we find beauty in nature? Is it 991 00:51:33,120 --> 00:51:35,880 Speaker 1: necessary that we would have found math to be beautiful? 992 00:51:36,120 --> 00:51:38,080 Speaker 1: Is it possible we could have evolved and all found 993 00:51:38,160 --> 00:51:40,239 Speaker 1: math to be like a horrible chore, even if it 994 00:51:40,320 --> 00:51:40,840 Speaker 1: is useful. 995 00:51:42,120 --> 00:51:45,440 Speaker 4: Well, this sensation of beauty is not universal. There are 996 00:51:45,480 --> 00:51:47,480 Speaker 4: people who don't have much patience for that kind of 997 00:51:47,560 --> 00:51:49,759 Speaker 4: talk who are still good mathematicians. There are a lot 998 00:51:49,800 --> 00:51:52,680 Speaker 4: of reasons to love math. Some people do love the 999 00:51:52,719 --> 00:51:56,000 Speaker 4: beauty of it. Some, you know, like the human struggle. 1000 00:51:56,080 --> 00:51:58,759 Speaker 4: Some like the social aspect that you get to do 1001 00:51:58,840 --> 00:52:01,279 Speaker 4: it with your friends, about it together and you can 1002 00:52:01,320 --> 00:52:04,239 Speaker 4: surprise each other. Some people like the competitive aspect. I'm 1003 00:52:04,280 --> 00:52:06,880 Speaker 4: smarter than the other person because I figured out beauty 1004 00:52:07,000 --> 00:52:09,800 Speaker 4: is one side. I think there's a tendency to go 1005 00:52:09,920 --> 00:52:12,480 Speaker 4: on a little too much about beauty, especially because it 1006 00:52:12,560 --> 00:52:15,719 Speaker 4: can be very exclusionary. People who aren't seeing math as 1007 00:52:15,760 --> 00:52:19,520 Speaker 4: beautiful are even more excluded when they don't get what's 1008 00:52:19,560 --> 00:52:22,080 Speaker 4: beautiful about it. You know that it can be a 1009 00:52:22,200 --> 00:52:25,680 Speaker 4: kind of cudgel or a gatekeeping bit of language. So 1010 00:52:25,760 --> 00:52:28,440 Speaker 4: I know that when we harp on about beauty or 1011 00:52:28,520 --> 00:52:31,239 Speaker 4: trying to make the subject appealing to people and say, hey, 1012 00:52:31,280 --> 00:52:33,239 Speaker 4: it's just like music. You like music, you should like 1013 00:52:33,320 --> 00:52:36,160 Speaker 4: math maybe, but you have to be very sensitive to 1014 00:52:36,680 --> 00:52:40,240 Speaker 4: helping a person appreciate the beauty. I'm reminded of like opera, 1015 00:52:40,840 --> 00:52:43,800 Speaker 4: where I don't get opera. When I hear opera, it 1016 00:52:43,880 --> 00:52:47,239 Speaker 4: sounds like a lot of hysterical carrying on and I 1017 00:52:47,400 --> 00:52:49,719 Speaker 4: just think, you know, get over yourself. But I see 1018 00:52:49,760 --> 00:52:52,840 Speaker 4: other people weeping from it, and they understand it, so 1019 00:52:52,960 --> 00:52:55,640 Speaker 4: it's beautiful to them. It's very profound and emotional, and 1020 00:52:55,719 --> 00:52:58,200 Speaker 4: I feel like I'm missing something but by not getting it, 1021 00:52:58,480 --> 00:53:00,560 Speaker 4: so you know, I actually there is this one commercial 1022 00:53:00,600 --> 00:53:02,600 Speaker 4: for wine. I think it was Ernest and Julia o 1023 00:53:02,680 --> 00:53:06,400 Speaker 4: Gallo where they're singing somebody singing, oh, mio, bambinocaro, and 1024 00:53:06,440 --> 00:53:09,480 Speaker 4: it's so beautiful. Even I got it okay, But other 1025 00:53:09,560 --> 00:53:11,880 Speaker 4: than that, I mostly don't get opera. But anyway, my 1026 00:53:12,000 --> 00:53:16,160 Speaker 4: point here is silly point is you know, as educators 1027 00:53:16,320 --> 00:53:18,960 Speaker 4: or as communicators, like through your podcast or the one 1028 00:53:19,000 --> 00:53:20,920 Speaker 4: that I try to do or when I write books, 1029 00:53:21,080 --> 00:53:24,120 Speaker 4: I want to be careful about this beauty argument. There 1030 00:53:24,160 --> 00:53:26,480 Speaker 4: are a lot of ways in to our subjects. Like 1031 00:53:26,560 --> 00:53:28,920 Speaker 4: I'm trying to press every possible button, so I might 1032 00:53:29,040 --> 00:53:31,359 Speaker 4: hit somebody's button at a given time. 1033 00:53:31,480 --> 00:53:34,120 Speaker 1: Well, let's talk a little bit about the button of creativity. 1034 00:53:34,680 --> 00:53:38,200 Speaker 1: Some folks feel like math and science and physics are 1035 00:53:38,200 --> 00:53:42,240 Speaker 1: a different kind of intellectual venture than things like music 1036 00:53:42,600 --> 00:53:45,719 Speaker 1: or art. But there's a creative side to science or 1037 00:53:45,840 --> 00:53:48,479 Speaker 1: and to math and to intellect. We do sometimes feel 1038 00:53:48,480 --> 00:53:50,399 Speaker 1: like you're playing a game you wrote in your book. 1039 00:53:50,719 --> 00:53:54,480 Speaker 1: Mathematicians don't come up with proofs. First comes intuition, and 1040 00:53:54,600 --> 00:53:57,080 Speaker 1: rigor comes later. Can you talk a little bit about 1041 00:53:57,120 --> 00:53:59,839 Speaker 1: the element of creativity that's involved in your works? 1042 00:54:00,920 --> 00:54:03,719 Speaker 4: Oh, well, before I say anything about my work specifically, 1043 00:54:03,840 --> 00:54:07,399 Speaker 4: I do appreciate you bringing up that point, because in math, 1044 00:54:07,520 --> 00:54:10,759 Speaker 4: especially in high school geometry, we're taught the proof has 1045 00:54:10,840 --> 00:54:14,000 Speaker 4: to be rigorous, it has to follow logic. Sometimes teachers 1046 00:54:14,040 --> 00:54:16,480 Speaker 4: will even have students write out statements in the left 1047 00:54:16,560 --> 00:54:19,839 Speaker 4: column and reasons in the right column. There's a point 1048 00:54:19,880 --> 00:54:22,000 Speaker 4: to that to help young students learn how to get 1049 00:54:22,120 --> 00:54:25,800 Speaker 4: organized in their thinking and construct logical arguments. And so 1050 00:54:25,920 --> 00:54:28,719 Speaker 4: that is definitely a part of math. Mathematicians are very 1051 00:54:28,800 --> 00:54:31,719 Speaker 4: proud of being able to have absolute proof in a 1052 00:54:31,800 --> 00:54:35,920 Speaker 4: way that scientists cannot. Right, sciences get revised as more 1053 00:54:35,960 --> 00:54:38,560 Speaker 4: information comes in. But in math, the theorems that were 1054 00:54:38,640 --> 00:54:41,000 Speaker 4: proven thousands of years ago are still true, and the 1055 00:54:41,080 --> 00:54:43,440 Speaker 4: proofs if they were correct back then, they're still correct. 1056 00:54:43,520 --> 00:54:46,560 Speaker 4: Some of us like this absolute nature of the subject, 1057 00:54:46,760 --> 00:54:50,160 Speaker 4: but that's only half of the story. And how do 1058 00:54:50,239 --> 00:54:51,919 Speaker 4: you come up with the proof in the first place, 1059 00:54:52,239 --> 00:54:54,120 Speaker 4: or how do you dream up what theorem you're even 1060 00:54:54,160 --> 00:54:57,840 Speaker 4: trying to prove? Those things are more akin to music 1061 00:54:57,960 --> 00:55:05,080 Speaker 4: and poetry and art and other creative parts of human activity. 1062 00:55:05,320 --> 00:55:07,640 Speaker 4: I mean, you have to have imagination, and you have 1063 00:55:07,760 --> 00:55:10,799 Speaker 4: to dream, and you have to have wishful hopes. All 1064 00:55:10,880 --> 00:55:13,160 Speaker 4: that kind of stuff is a big part of math. 1065 00:55:13,280 --> 00:55:15,960 Speaker 4: And anyone who does math or physics or any other 1066 00:55:16,120 --> 00:55:18,160 Speaker 4: part of science knows all of that. I mean, when 1067 00:55:18,200 --> 00:55:20,759 Speaker 4: you're doing it. You're still a person, you still have 1068 00:55:20,920 --> 00:55:23,680 Speaker 4: dreams and hopes. So I don't know why we don't 1069 00:55:23,719 --> 00:55:26,319 Speaker 4: teach that more. I mean, you learn it when you're 1070 00:55:26,360 --> 00:55:29,160 Speaker 4: in as an apprentice, as a young scientist or mathematician, 1071 00:55:29,239 --> 00:55:31,640 Speaker 4: and you're in the lab. You feel it. You all 1072 00:55:32,080 --> 00:55:34,200 Speaker 4: want something, But we don't do a great job in 1073 00:55:34,280 --> 00:55:37,480 Speaker 4: our textbooks or our lecturing at conveying that. And I 1074 00:55:37,560 --> 00:55:39,120 Speaker 4: think that's why a lot of people, you know, they 1075 00:55:39,200 --> 00:55:41,920 Speaker 4: might think it's a cold subject that wouldn't hold any 1076 00:55:41,960 --> 00:55:43,640 Speaker 4: appeal to them, But once they get in the lab 1077 00:55:43,760 --> 00:55:46,320 Speaker 4: or actually do some math, they'll see it's just like 1078 00:55:46,400 --> 00:55:50,480 Speaker 4: anything else. It's really fun and occupies your whole human spirit. 1079 00:55:50,600 --> 00:55:53,080 Speaker 1: I want to talk a little bit about accessibility of math. 1080 00:55:53,440 --> 00:55:55,719 Speaker 1: You tell a story in your book about a novelist 1081 00:55:55,960 --> 00:55:57,799 Speaker 1: who received the advice that if he wanted to write 1082 00:55:57,800 --> 00:56:00,640 Speaker 1: about physics, he needed to understand calculus, but as a 1083 00:56:00,719 --> 00:56:03,160 Speaker 1: non technical person, he was unable to find his way in, 1084 00:56:03,560 --> 00:56:06,040 Speaker 1: even going so far as to audit a high school class. 1085 00:56:06,160 --> 00:56:07,880 Speaker 1: And you say that your book is for people like 1086 00:56:07,960 --> 00:56:10,560 Speaker 1: him who want to understand the ideas and the beauty 1087 00:56:10,600 --> 00:56:13,200 Speaker 1: of math but can't otherwise find their way in. Do 1088 00:56:13,239 --> 00:56:15,160 Speaker 1: you think there's a wide spread appetite for this. Do 1089 00:56:15,160 --> 00:56:17,800 Speaker 1: you think if we taught math differently, it might have 1090 00:56:18,160 --> 00:56:20,840 Speaker 1: more supporters and you might less often find people on 1091 00:56:20,880 --> 00:56:23,479 Speaker 1: airplanes who go uugh, I hated math in high school. 1092 00:56:23,920 --> 00:56:27,000 Speaker 4: Yes, unequivocal yes to that question. There is a hunger 1093 00:56:27,120 --> 00:56:29,200 Speaker 4: for it. I know it as a fact. I've done 1094 00:56:29,239 --> 00:56:32,440 Speaker 4: the experiment. The New York Times back in twenty ten 1095 00:56:32,719 --> 00:56:35,480 Speaker 4: opinion page of all things, not the science page, but 1096 00:56:35,600 --> 00:56:38,480 Speaker 4: the opinion page. Editor David Shipley asked me to write 1097 00:56:38,560 --> 00:56:42,200 Speaker 4: a series of columns about math, starting with preschool math 1098 00:56:42,239 --> 00:56:44,799 Speaker 4: about numbers, and going as far as I could up 1099 00:56:44,840 --> 00:56:48,600 Speaker 4: to grad school level topics for his readers, for a 1100 00:56:48,719 --> 00:56:51,080 Speaker 4: curious person who like the kind of person who would 1101 00:56:51,120 --> 00:56:55,120 Speaker 4: read the opinion page, but who like him, fell off 1102 00:56:55,160 --> 00:56:57,800 Speaker 4: the math train somewhere, you know, just didn't see the 1103 00:56:57,840 --> 00:57:01,400 Speaker 4: point of it, didn't like it anymore, or found it 1104 00:57:01,480 --> 00:57:04,759 Speaker 4: hard or repelling in some way, repulsive anyway. So I 1105 00:57:04,880 --> 00:57:08,000 Speaker 4: tried to write for that audience, and there was a 1106 00:57:08,040 --> 00:57:10,239 Speaker 4: big audience, and they liked it, and they were very 1107 00:57:10,280 --> 00:57:14,320 Speaker 4: grateful and appreciative and their comments, you know, because on 1108 00:57:14,400 --> 00:57:17,560 Speaker 4: the Internet people can talk back, and they did, and 1109 00:57:17,760 --> 00:57:19,800 Speaker 4: Of course, there were some people who talked back saying 1110 00:57:19,880 --> 00:57:22,080 Speaker 4: they had a better explanation or they think I got 1111 00:57:22,160 --> 00:57:24,640 Speaker 4: it wrong. But for the most part, there was a 1112 00:57:24,680 --> 00:57:27,280 Speaker 4: big audience that was very grateful and said things like, 1113 00:57:27,440 --> 00:57:29,080 Speaker 4: you know, I wish you were my high school teacher. 1114 00:57:29,200 --> 00:57:31,440 Speaker 4: I wish math was taught this way. Why wasn't it 1115 00:57:31,520 --> 00:57:34,120 Speaker 4: taught this way? And that's a good question, why isn't 1116 00:57:34,160 --> 00:57:37,240 Speaker 4: it taught in a way that engages people more? You know, 1117 00:57:37,320 --> 00:57:40,960 Speaker 4: it's complicated about the story of education in the United States. 1118 00:57:41,600 --> 00:57:45,120 Speaker 4: There's a lot of demands on teachers to get their 1119 00:57:45,160 --> 00:57:48,520 Speaker 4: students to learn certain things that the government requires or 1120 00:57:48,640 --> 00:57:51,120 Speaker 4: wants people to learn by a certain age. There's all 1121 00:57:51,160 --> 00:57:53,800 Speaker 4: the pressure of getting into college. I mean, there's a 1122 00:57:53,880 --> 00:57:57,080 Speaker 4: million things. Also, think of the position of teachers in 1123 00:57:57,160 --> 00:58:00,960 Speaker 4: our society. How much reverence is or not accorded to 1124 00:58:01,080 --> 00:58:04,520 Speaker 4: the profession of teaching at the elementary or high school level, 1125 00:58:04,960 --> 00:58:07,960 Speaker 4: So what people are attracted to it, how much teachers 1126 00:58:08,000 --> 00:58:09,720 Speaker 4: are paid. I mean, there's a million things we could 1127 00:58:09,720 --> 00:58:11,760 Speaker 4: talk about that we don't have time to talk about. 1128 00:58:11,800 --> 00:58:15,000 Speaker 4: But for all kinds of reasons, we aren't teaching math 1129 00:58:15,160 --> 00:58:16,120 Speaker 4: in the optimal way. 1130 00:58:16,560 --> 00:58:19,520 Speaker 1: Well, I certainly appreciate your efforts to translate some of 1131 00:58:19,600 --> 00:58:22,800 Speaker 1: these deep ideas and the historical stories of mathematics. Even 1132 00:58:22,840 --> 00:58:24,880 Speaker 1: as a physicist who thinks about math all day long, 1133 00:58:25,000 --> 00:58:27,680 Speaker 1: I certainly gain and benefit from your efforts, and I 1134 00:58:27,720 --> 00:58:29,600 Speaker 1: think a very wide group of people do as well. 1135 00:58:29,680 --> 00:58:31,680 Speaker 1: And I want to ask you a personal question about 1136 00:58:32,120 --> 00:58:35,000 Speaker 1: why you're a little bit unusual. I mean, there are 1137 00:58:35,040 --> 00:58:38,080 Speaker 1: people who write for the public about science and math, 1138 00:58:38,640 --> 00:58:41,880 Speaker 1: but you're also somebody who's doing that. You're actively researching, 1139 00:58:41,960 --> 00:58:45,320 Speaker 1: you're publishing papers, you're an academic, you're participating in these 1140 00:58:45,360 --> 00:58:47,640 Speaker 1: studies yourself. What is that like for you, sort of 1141 00:58:47,760 --> 00:58:53,120 Speaker 1: living in both worlds. Is your academic intellectual professorial community 1142 00:58:53,160 --> 00:58:55,240 Speaker 1: supportive of this or do you have to sort of 1143 00:58:55,280 --> 00:58:58,479 Speaker 1: push back against trends that encourage you not to spend 1144 00:58:58,520 --> 00:58:59,920 Speaker 1: your time doing this kind of outreach. 1145 00:59:00,400 --> 00:59:03,520 Speaker 4: That's a happy story. Actually the community is pretty supportive, 1146 00:59:03,560 --> 00:59:05,600 Speaker 4: I would say, And I'd be curious your own take 1147 00:59:05,680 --> 00:59:08,360 Speaker 4: on this too, because you must be encountering it. A 1148 00:59:08,440 --> 00:59:11,200 Speaker 4: lot of us fear that if we go into public 1149 00:59:11,240 --> 00:59:13,960 Speaker 4: communication of physics or math, that some of our colleagues 1150 00:59:14,000 --> 00:59:16,560 Speaker 4: would think we're getting soft or we're selling out or 1151 00:59:16,640 --> 00:59:21,280 Speaker 4: we're pandering or dumbing it down or whatever, and that 1152 00:59:21,480 --> 00:59:24,440 Speaker 4: seems to be mostly a misplaced fear. If colleagues do 1153 00:59:24,560 --> 00:59:26,920 Speaker 4: feel that way, they've been polite enough to not tell 1154 00:59:27,000 --> 00:59:31,400 Speaker 4: me so that I appreciate that. But mostly people seem 1155 00:59:31,480 --> 00:59:34,160 Speaker 4: to take it in a good spirit, like, you know, 1156 00:59:34,320 --> 00:59:36,880 Speaker 4: thanks for trying to do this. It's difficult and it's 1157 00:59:36,960 --> 00:59:39,640 Speaker 4: worth trying to do, and the public certainly seems to 1158 00:59:39,680 --> 00:59:42,640 Speaker 4: appreciate it. But no, I haven't found much resistance or 1159 00:59:42,720 --> 00:59:47,640 Speaker 4: even antagonism from colleagues about it. It's also very much 1160 00:59:47,760 --> 00:59:50,760 Speaker 4: fun for me as a perpetual student. I learn a 1161 00:59:50,840 --> 00:59:54,200 Speaker 4: lot from interviewing guests on the podcast in fields I 1162 00:59:54,240 --> 00:59:56,880 Speaker 4: don't know anything about. I talk to people about inflammation 1163 00:59:57,320 --> 00:59:59,880 Speaker 4: or the origin of life or whatever on this Joy 1164 01:00:00,160 --> 01:00:03,360 Speaker 4: Why podcast. So I'm constantly in school, you know, for 1165 01:00:03,440 --> 01:00:05,680 Speaker 4: anyone out there who's had this feeling like, now that 1166 01:00:05,800 --> 01:00:08,000 Speaker 4: I know so much more, I wish I could be 1167 01:00:08,040 --> 01:00:10,360 Speaker 4: a student at this age. I was so busy. I 1168 01:00:10,520 --> 01:00:13,240 Speaker 4: was so young and had all those hormones raging, and 1169 01:00:13,280 --> 01:00:15,040 Speaker 4: I had so many things on my mind. Now that 1170 01:00:15,160 --> 01:00:20,000 Speaker 4: I'm old and I can think straight anyway, I'm just 1171 01:00:20,080 --> 01:00:22,480 Speaker 4: saying that it's fun for me as a student to 1172 01:00:22,640 --> 01:00:24,560 Speaker 4: be able to do this, and I think it actually 1173 01:00:24,640 --> 01:00:27,680 Speaker 4: helps my research too. It's giving me a broader perspective. 1174 01:00:28,000 --> 01:00:30,640 Speaker 4: I'm thinking about questions that never occurred to me before. 1175 01:00:30,680 --> 01:00:31,920 Speaker 4: So no, I think it's all to the good. 1176 01:00:32,120 --> 01:00:35,240 Speaker 1: I have the same feeling. I really appreciate the license 1177 01:00:35,360 --> 01:00:38,280 Speaker 1: to explore topics I wouldn't otherwise feel like I had 1178 01:00:38,320 --> 01:00:41,280 Speaker 1: time to dig into and to educate myself about them 1179 01:00:41,400 --> 01:00:43,600 Speaker 1: to a level where I feel comfortable explaining them in 1180 01:00:43,680 --> 01:00:46,000 Speaker 1: intuitive terms. It's a lot of fun. I really feel 1181 01:00:46,000 --> 01:00:48,160 Speaker 1: like it's broadened my understanding. But let me ask you 1182 01:00:48,240 --> 01:00:50,600 Speaker 1: one more, maybe even more pointed question. What would be 1183 01:00:50,680 --> 01:00:54,240 Speaker 1: your advice to a young person whose career isn't as 1184 01:00:54,360 --> 01:00:57,520 Speaker 1: well established as yours but is excited about outreach, you know, 1185 01:00:57,640 --> 01:00:59,880 Speaker 1: maybe a postdoc or a graduate student. Would you reckon 1186 01:01:00,080 --> 01:01:02,800 Speaker 1: man that they not participate in that and focus on 1187 01:01:02,880 --> 01:01:05,840 Speaker 1: their academics until they're better established, or is this something 1188 01:01:05,880 --> 01:01:08,280 Speaker 1: you think we should be encouraging in young people as well. 1189 01:01:08,560 --> 01:01:12,200 Speaker 4: That's a hard one because realistically, I don't think it 1190 01:01:12,400 --> 01:01:15,200 Speaker 4: will really help a person's chance in the academic life 1191 01:01:15,280 --> 01:01:17,840 Speaker 4: at a young stage. It's not the answer I want 1192 01:01:17,920 --> 01:01:20,240 Speaker 4: to give, but I think it is the honest answer 1193 01:01:20,400 --> 01:01:23,120 Speaker 4: that the culture of the academic world for a person 1194 01:01:23,120 --> 01:01:25,840 Speaker 4: who wants to become a professor is such that you 1195 01:01:25,960 --> 01:01:28,240 Speaker 4: have to focus on research, depending what kind of place 1196 01:01:28,240 --> 01:01:30,240 Speaker 4: you want to work at. So if you're working at 1197 01:01:30,240 --> 01:01:33,720 Speaker 4: a place that considers itself a research powerhouse or aspires 1198 01:01:33,800 --> 01:01:35,760 Speaker 4: to be one, then you got to focus on your 1199 01:01:35,840 --> 01:01:41,280 Speaker 4: research and there wouldn't be much benefit to doing outreach work. Honestly. 1200 01:01:41,400 --> 01:01:45,520 Speaker 4: I mean the priorities are first research, second teaching, third service, 1201 01:01:46,120 --> 01:01:49,240 Speaker 4: of which outreach is considered one of the aspects of service. 1202 01:01:49,520 --> 01:01:52,080 Speaker 4: So yeah, don't do it for that reason. Now that's 1203 01:01:52,120 --> 01:01:54,080 Speaker 4: not to say you shouldn't do it. There are people 1204 01:01:54,120 --> 01:01:56,600 Speaker 4: who decide why should I be a professor? I can 1205 01:01:56,800 --> 01:02:01,080 Speaker 4: make money supporting myself on YouTube, and there are fantastic 1206 01:02:01,840 --> 01:02:05,120 Speaker 4: streamers on YouTube. I mean, think of Grant Sanderson on 1207 01:02:05,240 --> 01:02:08,120 Speaker 4: three Blue One Brown, who's producing some of the best 1208 01:02:08,560 --> 01:02:12,440 Speaker 4: math explanations on the planet through his wizardly use of 1209 01:02:13,040 --> 01:02:16,880 Speaker 4: computer graphics and his brilliant pedagogy. I mean, that guy 1210 01:02:16,920 --> 01:02:19,200 Speaker 4: would be the best teacher at any university where he 1211 01:02:19,360 --> 01:02:22,360 Speaker 4: was a professor, but he's chosen not to be a professor, 1212 01:02:22,360 --> 01:02:24,760 Speaker 4: at least not yet, and he's reaching millions or tens 1213 01:02:24,800 --> 01:02:27,480 Speaker 4: of millions of people. So I'm not sure someone with 1214 01:02:27,600 --> 01:02:30,320 Speaker 4: those aspirations needs to be an academic. You know, there 1215 01:02:30,400 --> 01:02:33,160 Speaker 4: is an ecosystem only in recent years where you can 1216 01:02:33,240 --> 01:02:36,440 Speaker 4: actually thrive and do really good work for humanity, as 1217 01:02:36,480 --> 01:02:38,240 Speaker 4: he and a bunch of other people are doing. So 1218 01:02:38,640 --> 01:02:40,320 Speaker 4: I guess I would say for a person who wants 1219 01:02:40,360 --> 01:02:41,720 Speaker 4: to do that, if you're going to do it in 1220 01:02:41,800 --> 01:02:45,440 Speaker 4: the academic setting, get tenure first, do your research, and 1221 01:02:45,520 --> 01:02:48,280 Speaker 4: then you know, go wild. But if you're doing it 1222 01:02:48,360 --> 01:02:51,400 Speaker 4: outside of the academic world, you could make money creating 1223 01:02:51,440 --> 01:02:53,560 Speaker 4: companies that do it. You may have to get lucky, 1224 01:02:53,960 --> 01:02:57,680 Speaker 4: like say con Academy teaching math and science to the world, 1225 01:02:57,840 --> 01:03:02,640 Speaker 4: but what a great service has provided too, So there's 1226 01:03:02,640 --> 01:03:04,040 Speaker 4: a lot of possibilities today. 1227 01:03:04,080 --> 01:03:06,280 Speaker 1: All right, great, Well, thanks very much for coming on 1228 01:03:06,360 --> 01:03:09,520 Speaker 1: the podcast and talking with us about an incredible breadth 1229 01:03:09,640 --> 01:03:12,240 Speaker 1: of topics, from the beauty of math to communicating with 1230 01:03:12,360 --> 01:03:16,160 Speaker 1: aliens to advice for young researchers. Really appreciate your frank 1231 01:03:16,240 --> 01:03:17,160 Speaker 1: and open conversation. 1232 01:03:17,400 --> 01:03:19,640 Speaker 4: Well, thank you, Daniel. This is a really great pleasure 1233 01:03:19,720 --> 01:03:22,080 Speaker 4: for me and I'm very grateful to you for having 1234 01:03:22,120 --> 01:03:22,680 Speaker 4: me on the show. 1235 01:03:22,920 --> 01:03:25,400 Speaker 1: So you see that the question of why math is 1236 01:03:25,440 --> 01:03:28,640 Speaker 1: so important for physics is a difficult one to answer, 1237 01:03:28,840 --> 01:03:31,520 Speaker 1: even for a physicist and a mathematician talking about it 1238 01:03:31,600 --> 01:03:34,760 Speaker 1: for almost an hour. Hope you enjoyed that conversation. Tune 1239 01:03:34,800 --> 01:03:45,360 Speaker 1: in next time. Thanks for listening, and remember that Daniel 1240 01:03:45,360 --> 01:03:48,800 Speaker 1: and Jorge Explain the Universe is a production of iHeart Radio. 1241 01:03:49,120 --> 01:03:54,200 Speaker 1: For more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, 1242 01:03:54,400 --> 01:03:56,720 Speaker 1: or wherever you listen to your favorite shows. 1243 01:04:07,600 --> 01:04:10,480 Speaker 2: Have you boosted your business with Lenovo Pro yet? Become 1244 01:04:10,520 --> 01:04:13,560 Speaker 2: a Lenovo Pro member for free today and unlock access 1245 01:04:13,600 --> 01:04:17,520 Speaker 2: to Lenovo's exclusive business store for technology expert advisors and 1246 01:04:17,760 --> 01:04:21,520 Speaker 2: essential products and services designed just for you. Visit Lenovo 1247 01:04:21,560 --> 01:04:24,040 Speaker 2: dot com slash Lenovo Pro to sign up for free. 1248 01:04:24,240 --> 01:04:30,280 Speaker 2: That's Lenovo dot com slash Lenovo Pro Lenovo unlock new 1249 01:04:30,320 --> 01:04:33,560 Speaker 2: AI experiences with Lenovo's think Pad x one carbon powered 1250 01:04:33,600 --> 01:04:35,200 Speaker 2: by Intel Core ultraprocessors. 1251 01:04:37,800 --> 01:04:39,520 Speaker 1: When you pop a piece of cheese into your mouth, 1252 01:04:39,560 --> 01:04:42,840 Speaker 1: you're probably not thinking about the environmental impact, but the 1253 01:04:42,920 --> 01:04:45,720 Speaker 1: people in the dairy industry are. That's why they're working 1254 01:04:45,840 --> 01:04:48,440 Speaker 1: hard every day to find new ways to reduce waste, 1255 01:04:48,520 --> 01:04:52,640 Speaker 1: conserve natural resources, and drive down greenhouse gas emissions. How 1256 01:04:52,760 --> 01:04:56,600 Speaker 1: is us dairy tackling greenhouse gases? Many farms use anaerobic 1257 01:04:56,720 --> 01:05:00,400 Speaker 1: digestors to turn the methane from maneure into renewable energy 1258 01:05:00,520 --> 01:05:04,040 Speaker 1: that can power farms, towns, and electric cars. Visit you 1259 01:05:04,120 --> 01:05:07,040 Speaker 1: as Dairy dot COM's Last Sustainability to learn more. 1260 01:05:07,680 --> 01:05:10,840 Speaker 10: Hey, it is Ryan Seacrest. There's something so thrilling about 1261 01:05:10,880 --> 01:05:13,960 Speaker 10: playing Chumba Casino. Maybe it's the simple reminder that with 1262 01:05:14,080 --> 01:05:17,960 Speaker 10: a little luck, anything as possible. Chumbacasino dot com has 1263 01:05:18,160 --> 01:05:20,560 Speaker 10: hundreds of social casino style games to choose from, with 1264 01:05:20,680 --> 01:05:23,960 Speaker 10: new game releases each week. Play for free, anytime, anywhere 1265 01:05:24,160 --> 01:05:27,160 Speaker 10: for your chance to redeem some serious prizes. Join me 1266 01:05:27,240 --> 01:05:29,480 Speaker 10: in the fund. Sign up now at chumbucasino dot com 1267 01:05:29,880 --> 01:05:34,959 Speaker 10: Sponsored by Chumpa Casino. No purchase necessary. VGW group void 1268 01:05:35,000 --> 01:05:38,200 Speaker 10: where prohibited by Law eighteen plus. Terms and conditions apply