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These are the user uploaded subtitles that are being translated: 1 00:00:00,384 --> 00:00:03,051 (ambient music) 2 00:00:21,957 --> 00:00:24,618 Mathematics has been described as the science of patterns. 3 00:00:24,618 --> 00:00:28,534 In mathematics, there are patterns in numbers, in shapes, 4 00:00:28,534 --> 00:00:31,524 in probability, in motion. 5 00:00:31,524 --> 00:00:35,816 And nature has visible regularities that I see 6 00:00:35,816 --> 00:00:39,983 more than I ever use to, because now I'm looking for them. 7 00:00:41,854 --> 00:00:44,556 They're everywhere, really, and if we have eyes to see them, 8 00:00:44,556 --> 00:00:48,723 we can really enjoy them as well as try and understand them. 9 00:00:50,850 --> 00:00:54,183 This is the greatest free show on Earth. 10 00:00:55,144 --> 00:00:58,867 And I think that if I could just get my students 11 00:00:58,867 --> 00:01:02,416 to put down their cell phones and concentrate 12 00:01:02,416 --> 00:01:06,583 on this world around them, they can see wonderful beauty. 13 00:01:08,632 --> 00:01:12,382 And I hope it will excite them as it does me. 14 00:01:13,413 --> 00:01:16,228 And what always excites me is that the stunning variety 15 00:01:16,228 --> 00:01:19,821 of shapes and patterns to be found in the natural world 16 00:01:19,821 --> 00:01:22,686 are all the result of Mother Nature following 17 00:01:22,686 --> 00:01:26,315 biological, chemical, physical principles 18 00:01:26,315 --> 00:01:29,500 and the underlying mathematical structures. 19 00:01:29,500 --> 00:01:32,232 And in the world of nature, one of the most basic rules 20 00:01:32,232 --> 00:01:34,149 is always be efficient. 21 00:01:36,275 --> 00:01:39,887 Nature does appear to seek the most economical, 22 00:01:39,887 --> 00:01:43,637 the most efficient ways of achieving Her end. 23 00:01:44,706 --> 00:01:47,123 She seeks to minimize energy. 24 00:01:48,241 --> 00:01:52,691 It is certainly the case that a lot of mathematical models 25 00:01:52,691 --> 00:01:56,858 of natural processes involved minimization schemes. 26 00:01:59,568 --> 00:02:02,265 And one of those natural minimization schemes 27 00:02:02,265 --> 00:02:06,186 is don't expend energy if you don't have to 28 00:02:06,186 --> 00:02:09,041 just like some of my students. 29 00:02:09,041 --> 00:02:11,164 Some of the most primitive creatures, 30 00:02:11,164 --> 00:02:14,519 such as sponges and corals simply let their food 31 00:02:14,519 --> 00:02:15,769 waft over them. 32 00:02:16,685 --> 00:02:20,185 In technical terms, they are asymmetrical. 33 00:02:22,079 --> 00:02:24,408 For most creatures, some sort of symmetry 34 00:02:24,408 --> 00:02:27,075 is both important and revealing. 35 00:02:27,971 --> 00:02:30,874 Look at the sea anemone, it's another creature 36 00:02:30,874 --> 00:02:34,758 that doesn't move or at least not very much. 37 00:02:34,758 --> 00:02:37,949 And it displays what is known as radial symmetry. 38 00:02:37,949 --> 00:02:42,035 You can cut through a sea anemone at basically any angle, 39 00:02:42,035 --> 00:02:45,868 and the cross-section will always be the same. 40 00:02:47,771 --> 00:02:52,754 A nice variation on radial symmetry is rotational symmetry. 41 00:02:52,754 --> 00:02:55,174 The starfish, for example, if you carefully arrange 42 00:02:55,174 --> 00:02:58,943 the stars on the starfish, then you will have 43 00:02:58,943 --> 00:03:01,353 pentagonal symmetry, 44 00:03:01,353 --> 00:03:04,944 which means that there are five axes of symmetry, 45 00:03:04,944 --> 00:03:09,027 each at an angle of 72 degrees from the next one. 46 00:03:12,959 --> 00:03:15,990 We see it in flowers, Vincas, I believe, 47 00:03:15,990 --> 00:03:19,024 are pentagonally symmetric, you've only got to rotate 48 00:03:19,024 --> 00:03:21,943 through a certain angle to leave the flower 49 00:03:21,943 --> 00:03:26,762 indistinguishable approximately from where it was before. 50 00:03:26,762 --> 00:03:30,204 Closer to home, if you carefully cut through an apple, 51 00:03:30,204 --> 00:03:31,591 you'll find the pits are arranged 52 00:03:31,591 --> 00:03:34,906 in a pentagonally symmetrical pattern. 53 00:03:34,906 --> 00:03:37,041 But the commonest type of symmetry by far 54 00:03:37,041 --> 00:03:40,208 is what's known as bilateral symmetry. 55 00:03:41,214 --> 00:03:43,295 Nearly all creatures on the planet exhibit 56 00:03:43,295 --> 00:03:45,097 bilateral symmetry. 57 00:03:45,097 --> 00:03:48,690 And again, it has to do with mobility. 58 00:03:48,690 --> 00:03:52,529 Any designer would put an organism's senses and its mouth 59 00:03:52,529 --> 00:03:55,793 at the head of the organism's motion. 60 00:03:55,793 --> 00:03:57,874 In bilaterally symmetrical animals 61 00:03:57,874 --> 00:04:01,384 that immediately presumes an up and a down, 62 00:04:01,384 --> 00:04:03,384 and also left and right. 63 00:04:07,545 --> 00:04:09,305 There's so much going on in the natural world, 64 00:04:09,305 --> 00:04:12,388 so many different causes and effects, 65 00:04:13,555 --> 00:04:15,555 that one might look for a unifying principle 66 00:04:15,555 --> 00:04:17,029 to describe that. 67 00:04:17,029 --> 00:04:21,196 And I would say elegance and efficiency is probably the one. 68 00:04:23,197 --> 00:04:27,113 Take a look at a beehive for example, 69 00:04:27,113 --> 00:04:29,524 we're all familiar with the hexagons in a honeycomb, 70 00:04:29,524 --> 00:04:30,941 but why hexagons? 71 00:04:32,144 --> 00:04:34,514 Why not circles, which have a minimum perimeter 72 00:04:34,514 --> 00:04:36,676 for a given area. 73 00:04:36,676 --> 00:04:41,045 Surely, that's a superb example of efficiency. 74 00:04:41,045 --> 00:04:42,974 Unfortunately, the problem with circles 75 00:04:42,974 --> 00:04:47,141 is that you can't pack them together without leaving gaps. 76 00:04:49,472 --> 00:04:53,635 So the nearest regular polygon that comes to a circle 77 00:04:53,635 --> 00:04:55,760 is the regular hexagon. 78 00:04:55,760 --> 00:04:59,312 And so those six sides minimize the perimeter 79 00:04:59,312 --> 00:05:01,144 for a given area. 80 00:05:01,144 --> 00:05:03,883 And that may have something to do with the way 81 00:05:03,883 --> 00:05:06,827 beehives are constructed, because the bees, 82 00:05:06,827 --> 00:05:10,299 whether they know it or not are superb engineers. 83 00:05:10,299 --> 00:05:13,774 And it turns out given those space-filling constraints, 84 00:05:13,774 --> 00:05:18,568 the hexagons use the least wax for the most storage space. 85 00:05:18,568 --> 00:05:21,231 And the icing on the cake, if you're a bee, 86 00:05:21,231 --> 00:05:23,765 is that for every six hexagons you make, 87 00:05:23,765 --> 00:05:26,182 you get another one for free. 88 00:05:27,077 --> 00:05:29,773 Hexagons are a recurrent theme in nature, 89 00:05:29,773 --> 00:05:33,856 turning up in geological formations, insect eyes, 90 00:05:35,002 --> 00:05:38,419 and perhaps most famously, in snowflakes. 91 00:05:40,486 --> 00:05:43,309 When you hear the statement, and it's often heard, 92 00:05:43,309 --> 00:05:46,992 that every snowflake is individual, is unique, 93 00:05:46,992 --> 00:05:49,851 it's true but it depends on the scale at which 94 00:05:49,851 --> 00:05:51,365 you're looking at it. 95 00:05:51,365 --> 00:05:54,433 Because if I just look at them on my sleeve 96 00:05:54,433 --> 00:05:58,195 as they fall on my dark coat, yes some are big, 97 00:05:58,195 --> 00:06:00,853 and some are smaller, but I don't really get a sense 98 00:06:00,853 --> 00:06:04,899 of the uniqueness at the level we're talking about. 99 00:06:04,899 --> 00:06:09,140 And if you go down very, very closely with a microscope, 100 00:06:09,140 --> 00:06:11,227 if you could imagine the molecules, 101 00:06:11,227 --> 00:06:13,576 then they're all the same, no one ice molecule 102 00:06:13,576 --> 00:06:15,130 is different from any other. 103 00:06:15,130 --> 00:06:18,880 That six-fold symmetry is, in an amazing way, 104 00:06:20,080 --> 00:06:22,331 perpetuated through the different scales. 105 00:06:22,331 --> 00:06:25,725 And so we see the six-fold symmetry, the hexagonal symmetry 106 00:06:25,725 --> 00:06:27,297 in snowflakes because of that. 107 00:06:27,297 --> 00:06:28,685 And yet, they are different. 108 00:06:28,685 --> 00:06:30,734 There's little irregularities, perhaps, 109 00:06:30,734 --> 00:06:34,639 so they're not exactly hexagonally symmetric. 110 00:06:34,639 --> 00:06:36,726 So in that sense, every one is different. 111 00:06:36,726 --> 00:06:40,309 But the life history depends on, of course, 112 00:06:41,703 --> 00:06:44,402 like human beings, where we've been, what we've experienced, 113 00:06:44,402 --> 00:06:46,403 what we've encountered. 114 00:06:46,403 --> 00:06:50,449 So each snowflake falls a different path to the Earth, 115 00:06:50,449 --> 00:06:53,434 and therefore it falls through different regions, 116 00:06:53,434 --> 00:06:56,545 regions of different humidity, different temperature, 117 00:06:56,545 --> 00:07:00,470 buffeted by the wind, perhaps, melting a little bit 118 00:07:00,470 --> 00:07:01,943 and then refreezing. 119 00:07:01,943 --> 00:07:06,638 So in that sense, yes, they are utterly unique. 120 00:07:06,638 --> 00:07:08,558 They are an excellent example of one of nature's 121 00:07:08,558 --> 00:07:12,725 favorite mathematical features, deterministic chaos. 122 00:07:16,677 --> 00:07:18,675 One of the features of deterministic chaos 123 00:07:18,675 --> 00:07:20,717 is that there is an in-built sensitivity 124 00:07:20,717 --> 00:07:22,676 to initial conditions. 125 00:07:22,676 --> 00:07:24,887 And that applies to the snowflake, in the sense 126 00:07:24,887 --> 00:07:26,718 that each one has its own unique path 127 00:07:26,718 --> 00:07:28,968 through its brief lifetime. 128 00:07:31,631 --> 00:07:34,338 This is one of the features of chaos that, 129 00:07:34,338 --> 00:07:37,899 a small variation in the initial conditions, 130 00:07:37,899 --> 00:07:40,473 and this is related to what's known as the butterfly effect 131 00:07:40,473 --> 00:07:43,390 can induce downstream, so to speak, 132 00:07:45,299 --> 00:07:48,466 in time, very different circumstances. 133 00:07:49,789 --> 00:07:53,798 The butterfly effect seems really, really silly. 134 00:07:53,798 --> 00:07:57,965 A butterfly flapping its wings somewhere in South America 135 00:07:59,546 --> 00:08:03,713 could give rise to some enormous storm over Japan. 136 00:08:07,345 --> 00:08:09,062 Now, this sounds almost sort of zen, 137 00:08:09,062 --> 00:08:11,559 but it's certainly part of what is known 138 00:08:11,559 --> 00:08:13,604 as deterministic chaos. 139 00:08:13,604 --> 00:08:17,213 So that's why the weather is actually unpredictable 140 00:08:17,213 --> 00:08:20,880 beyond a few days because some slight change 141 00:08:21,913 --> 00:08:26,528 can be replicated en masse downstream, so to speak, 142 00:08:26,528 --> 00:08:27,798 a few days later. 143 00:08:27,798 --> 00:08:29,841 And so the structure of the weather 144 00:08:29,841 --> 00:08:32,216 is inherently unpredictable. 145 00:08:32,216 --> 00:08:34,788 We can a broad idea over a few days, 146 00:08:34,788 --> 00:08:36,626 and even perhaps into 10 days, 147 00:08:36,626 --> 00:08:41,608 but nevertheless, there's an ultimate limitation there. 148 00:08:41,608 --> 00:08:45,253 Often, the manifestation of deterministic chaos in nature 149 00:08:45,253 --> 00:08:47,830 produces complex shapes and forms that have 150 00:08:47,830 --> 00:08:49,913 a fractal-like structure. 151 00:08:51,761 --> 00:08:54,576 A fractal is essentially, crudely speaking, 152 00:08:54,576 --> 00:08:56,159 a picture of chaos. 153 00:08:57,853 --> 00:09:02,104 There are several ways of looking at fractals, 154 00:09:02,104 --> 00:09:04,477 but essentially, they are things, 155 00:09:04,477 --> 00:09:08,644 they are geometric entities which have the same geometric 156 00:09:09,913 --> 00:09:13,716 or statistical properties no matter how small, 157 00:09:13,716 --> 00:09:17,029 how far down you go, how much you magnify them. 158 00:09:17,029 --> 00:09:20,362 Let me give you a classic example of the 159 00:09:21,647 --> 00:09:23,980 Cook or Koch Snowflake Curve 160 00:09:26,094 --> 00:09:29,410 which is a beloved of many students, 161 00:09:29,410 --> 00:09:34,171 especially the ones I teach, because it's so fascinating. 162 00:09:34,171 --> 00:09:36,338 You take an equilateral triangle, 163 00:09:36,338 --> 00:09:38,420 every side is the same length. 164 00:09:38,420 --> 00:09:41,336 You then remove the middle third of each side 165 00:09:41,336 --> 00:09:43,994 and put another little equilateral triangle 166 00:09:43,994 --> 00:09:46,039 or at least two sides of it on there, 167 00:09:46,039 --> 00:09:47,773 so you've got a sort of star. 168 00:09:47,773 --> 00:09:51,163 And you continue that process, this is called iteration. 169 00:09:51,163 --> 00:09:56,068 You continue it ad infinitum, and what you end up with 170 00:09:56,068 --> 00:09:58,562 is a crinkly wonderful shape pattern 171 00:09:58,562 --> 00:10:02,729 which actually has infinite length and finite area, 172 00:10:03,721 --> 00:10:05,523 because it can be enclosed in a circle, 173 00:10:05,523 --> 00:10:09,465 its therefore got finite area, and this is the archetype 174 00:10:09,465 --> 00:10:11,798 or one of them of a fractal. 175 00:10:12,975 --> 00:10:15,917 Another fractal of note is the Sierpinski Triangle 176 00:10:15,917 --> 00:10:18,083 or the Sierpinski Gasket. 177 00:10:18,083 --> 00:10:22,333 If you take an equilateral triangle and mark the midpoint 178 00:10:22,333 --> 00:10:25,721 of each side and join those points together, 179 00:10:25,721 --> 00:10:28,904 you've got another triangle pointed downwards as it were, 180 00:10:28,904 --> 00:10:31,111 paint that black or remove it, 181 00:10:31,111 --> 00:10:33,644 and then do the same thing with the remaining three 182 00:10:33,644 --> 00:10:34,977 white triangles. 183 00:10:35,928 --> 00:10:39,117 If you continue that process, you get a strange shape 184 00:10:39,117 --> 00:10:41,895 that seems to appear on some shells in which 185 00:10:41,895 --> 00:10:45,409 has these triangles, these patterns 186 00:10:45,409 --> 00:10:47,496 to several different scales. 187 00:10:47,496 --> 00:10:52,481 And that appears to be the result of some chemical process 188 00:10:52,481 --> 00:10:56,859 that I don't understand that mimics, in some way, 189 00:10:56,859 --> 00:11:01,026 this Sierpinski Triangle, at least to several levels down. 190 00:11:02,418 --> 00:11:06,251 And it's quite fascinating, they're beautiful. 191 00:11:11,203 --> 00:11:15,517 It's wonderful, I try to get across, I don't know, 192 00:11:15,517 --> 00:11:16,909 the beauty of nature. 193 00:11:16,909 --> 00:11:19,529 When I translate all this into the classroom, 194 00:11:19,529 --> 00:11:22,996 it's very easy to get excited and passionate about it, 195 00:11:22,996 --> 00:11:25,084 and I think it's a wonderful tool 196 00:11:25,084 --> 00:11:29,251 for younger children as well to try and instill in them 197 00:11:31,751 --> 00:11:34,573 the curiosity, well they have the curiosity younger children 198 00:11:34,573 --> 00:11:37,490 it's not been dissipated from them. 199 00:11:38,614 --> 00:11:42,031 But just to focus them and ask questions. 200 00:11:43,068 --> 00:11:45,483 What's going on here, what's that? 201 00:11:45,483 --> 00:11:46,544 It's just wonderful. 202 00:11:46,544 --> 00:11:49,161 Science is all about asking questions, 203 00:11:49,161 --> 00:11:52,273 and in that sense, scientists and mathematicians 204 00:11:52,273 --> 00:11:53,523 are still kids. 205 00:11:56,494 --> 00:11:59,577 (gentle piano music) 16709

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