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These are the user uploaded subtitles that are being translated: 1 00:00:01,201 --> 00:00:02,601 y mission. 2 00:00:02,603 --> 00:00:06,038 NARRATOR: We live in an age of astonishing advances. 3 00:00:06,040 --> 00:00:09,241 MAN: Descending at about .75 meters per second. 4 00:00:09,243 --> 00:00:13,379 NARRATOR: Engineers can land a car-size rover on Mars. 5 00:00:13,381 --> 00:00:14,480 MAN: Touchdown confirmed. 6 00:00:14,482 --> 00:00:16,849 (cheering) 7 00:00:16,851 --> 00:00:21,854 NARRATOR: Physicists probe the essence of all matter, 8 00:00:21,856 --> 00:00:26,825 while we communicate wirelessly on a vast worldwide network. 9 00:00:28,595 --> 00:00:31,130 But underlying all of these modern wonders 10 00:00:31,132 --> 00:00:35,934 is something deep and mysteriously powerful. 11 00:00:35,936 --> 00:00:38,670 It's been called the language of the universe, 12 00:00:38,672 --> 00:00:42,608 and perhaps it's civilization's greatest achievement. 13 00:00:42,610 --> 00:00:44,276 Its name? 14 00:00:44,278 --> 00:00:46,545 Mathematics. 15 00:00:46,547 --> 00:00:48,947 But where does math come from? 16 00:00:48,949 --> 00:00:52,418 And why in science does it work so well? 17 00:00:52,420 --> 00:00:54,353 MARIO LIVIO: Albert Einstein wondered, 18 00:00:54,355 --> 00:00:57,122 "How is it possible that mathematics 19 00:00:57,124 --> 00:01:01,860 does so well in explaining the universe as we see it?" 20 00:01:01,862 --> 00:01:06,065 NARRATOR: Is mathematics even human? 21 00:01:06,067 --> 00:01:09,101 There doesn't really seem to be an upper limit 22 00:01:09,103 --> 00:01:11,670 to the numerical abilities of animals. 23 00:01:11,672 --> 00:01:15,507 NARRATOR: And is it the key to the cosmos? 24 00:01:15,509 --> 00:01:17,142 MAX TEGMARK: Our physical world 25 00:01:17,144 --> 00:01:19,478 doesn't just have some mathematical properties, 26 00:01:19,480 --> 00:01:21,480 but it has only mathematical properties. 27 00:01:21,482 --> 00:01:26,085 NARRATOR: "The Great Math Mystery," next on NOVA! 28 00:01:45,972 --> 00:01:48,540 NARRATOR: Human beings have always is provlooked at natureowing: 29 00:01:48,542 --> 00:01:51,043 and searched for patterns. 30 00:01:51,045 --> 00:01:54,313 Eons ago, we gazed at the stars 31 00:01:54,315 --> 00:01:58,317 and discovered patterns we call constellations, 32 00:01:58,319 --> 00:02:02,488 even coming to believe they might control our destiny. 33 00:02:02,490 --> 00:02:08,494 We've watched the days turn to night and back to day, 34 00:02:08,496 --> 00:02:11,864 and seasons as they come and go, 35 00:02:11,866 --> 00:02:16,001 and called that pattern "time." 36 00:02:16,003 --> 00:02:21,273 We see symmetrical patterns in the human body 37 00:02:21,275 --> 00:02:24,743 and the tiger's stripes 38 00:02:24,745 --> 00:02:27,746 and build those patterns into what we create, 39 00:02:27,748 --> 00:02:31,917 from art to our cities. 40 00:02:36,656 --> 00:02:38,790 But what do patterns tell us? 41 00:02:38,792 --> 00:02:43,295 Why should the spiral shape of the nautilus shell 42 00:02:43,297 --> 00:02:47,566 be so similar to the spiral of a galaxy? 43 00:02:47,568 --> 00:02:52,304 Or the spiral found in a sliced open head of cabbage? 44 00:02:52,306 --> 00:02:55,574 When scientists seek to understand 45 00:02:55,576 --> 00:02:57,242 the patterns of our world, 46 00:02:57,244 --> 00:03:02,347 they often turn to a powerful tool: mathematics. 47 00:03:02,349 --> 00:03:05,150 They quantify their observations 48 00:03:05,152 --> 00:03:08,987 and use mathematical techniques to examine them, 49 00:03:08,989 --> 00:03:11,657 hoping to discover the underlying causes 50 00:03:11,659 --> 00:03:15,594 of nature's rhythms and regularities. 51 00:03:15,596 --> 00:03:18,297 And it's worked, revealing the secrets 52 00:03:18,299 --> 00:03:20,966 behind the elliptical orbits of the planets 53 00:03:20,968 --> 00:03:27,005 to the electromagnetic waves that connect our cell phones. 54 00:03:27,007 --> 00:03:29,074 Mathematics has even guided the way, 55 00:03:29,076 --> 00:03:30,509 leading us right down 56 00:03:30,511 --> 00:03:33,145 to the sub-atomic building blocks of matter. 57 00:03:36,115 --> 00:03:41,086 Which raises the question: why does it work at all? 58 00:03:41,088 --> 00:03:45,724 Is there an inherent mathematical nature to reality? 59 00:03:45,726 --> 00:03:49,127 Or is mathematics all in our heads? 60 00:03:54,334 --> 00:03:57,569 Mario Livio is an astrophysicist 61 00:03:57,571 --> 00:03:59,371 who wrestles with these questions. 62 00:03:59,373 --> 00:04:04,042 He's fascinated by the deep and often mysterious connection 63 00:04:04,044 --> 00:04:06,411 between mathematics and the world. 64 00:04:06,413 --> 00:04:10,549 MARIO LIVIO: If you look at nature, there are numbers all around us. 65 00:04:10,551 --> 00:04:13,085 You know, look at flowers, for example. 66 00:04:13,087 --> 00:04:14,686 So there are many flowers 67 00:04:14,688 --> 00:04:17,289 that have three petals like this, or five like this. 68 00:04:17,291 --> 00:04:21,793 Some of them may have 34 or 55. 69 00:04:21,795 --> 00:04:23,528 These numbers occur very often. 70 00:04:23,530 --> 00:04:27,399 NARRATOR: These may sound like random numbers, 71 00:04:27,401 --> 00:04:31,870 but they're all part of what is known as the Fibonacci sequence, 72 00:04:31,872 --> 00:04:35,941 a series of numbers developed by a 13th century mathematician. 73 00:04:39,479 --> 00:04:42,314 You start with the numbers one and one, 74 00:04:42,316 --> 00:04:43,882 and from that point on, 75 00:04:43,884 --> 00:04:46,151 you keep adding up the last two numbers. 76 00:04:46,153 --> 00:04:49,054 So one plus one is two, 77 00:04:49,056 --> 00:04:52,257 now one plus two is three, 78 00:04:52,259 --> 00:04:55,727 two plus three is five, 79 00:04:55,729 --> 00:05:00,732 three plus five is eight, and you keep going like this. 80 00:05:00,734 --> 00:05:03,235 NARRATOR: Today, hundreds of years later, 81 00:05:03,237 --> 00:05:06,071 this seemingly arbitrary progression of numbers 82 00:05:06,073 --> 00:05:08,840 fascinates many, who see in it clues 83 00:05:08,842 --> 00:05:13,111 to everything from human beauty to the stock market. 84 00:05:13,113 --> 00:05:15,814 While most of those claims remain unproven, 85 00:05:15,816 --> 00:05:19,951 it is curious how evolution seems to favor these numbers. 86 00:05:19,953 --> 00:05:22,154 And as it turns out, 87 00:05:22,156 --> 00:05:25,590 this sequence appears quite frequently in nature. 88 00:05:25,592 --> 00:05:28,927 NARRATOR: Fibonacci numbers show up in petal counts, 89 00:05:28,929 --> 00:05:33,832 especially of daisies, but that's just a start. 90 00:05:33,834 --> 00:05:35,834 CHRISTOPHE GOLE: Statistically, the Fibonacci numbers 91 00:05:35,836 --> 00:05:39,771 do appear a lot in botany. 92 00:05:39,773 --> 00:05:43,141 For instance, if you look at theottom of a pine cone, 93 00:05:43,143 --> 00:05:47,212 you will see often spirals in their scales. 94 00:05:47,214 --> 00:05:49,781 You end up counting those spirals, 95 00:05:49,783 --> 00:05:52,984 you'll usually find a Fibonacci number, 96 00:05:52,986 --> 00:05:54,920 and then you will count the spirals 97 00:05:54,922 --> 00:05:56,855 going in the other direction 98 00:05:56,857 --> 00:06:00,359 and you will find an adjacent Fibonacci number. 99 00:06:00,361 --> 00:06:05,464 NARRATOR: The same is true of the seeds on a sunflower head-- 100 00:06:05,466 --> 00:06:08,100 two sets of spirals. 101 00:06:08,102 --> 00:06:11,236 And if you count the spirals in each direction, 102 00:06:11,238 --> 00:06:15,006 both are Fibonacci numbers. 103 00:06:15,008 --> 00:06:17,476 While there are some theories 104 00:06:17,478 --> 00:06:20,112 explaining the Fibonacci-botany connection, 105 00:06:20,114 --> 00:06:24,683 it still raises some intriguing questions. 106 00:06:24,685 --> 00:06:26,351 So do plants know math? 107 00:06:26,353 --> 00:06:30,355 The short answer to that is "No." 108 00:06:30,357 --> 00:06:32,791 They don't need to know math. 109 00:06:32,793 --> 00:06:37,963 In a very simple, geometric way, they set up a little machine 110 00:06:37,965 --> 00:06:42,601 that creates the Fibonacci sequence in many cases. 111 00:06:45,571 --> 00:06:47,539 NARRATOR: The mysterious connections 112 00:06:47,541 --> 00:06:51,643 between the physical world and mathematics run deep. 113 00:06:51,645 --> 00:06:54,179 We all know the number pi from geometry-- 114 00:06:54,181 --> 00:06:56,815 the ratio between the circumference of a circle 115 00:06:56,817 --> 00:07:00,419 and its diameter-- and that its decimal digits 116 00:07:00,421 --> 00:07:03,922 go on forever without a repeating pattern. 117 00:07:03,924 --> 00:07:05,857 As of 2013, 118 00:07:05,859 --> 00:07:10,162 it had been calculated out to 12.1 trillion digits. 119 00:07:10,164 --> 00:07:14,433 But somehow, pi is a whole lot more. 120 00:07:14,435 --> 00:07:17,469 Pi appears in a whole host of other phenomena 121 00:07:17,471 --> 00:07:19,571 which have, at least on the face of it, 122 00:07:19,573 --> 00:07:21,673 nothing to do with circles or anything. 123 00:07:21,675 --> 00:07:26,178 In particular, it appears in probability theory quite a bit. 124 00:07:26,180 --> 00:07:27,579 Suppose I take this needle. 125 00:07:27,581 --> 00:07:30,248 So the length of the needle 126 00:07:30,250 --> 00:07:33,051 is equal to the distance between two lines 127 00:07:33,053 --> 00:07:34,920 on this piece of paper. 128 00:07:34,922 --> 00:07:37,889 And suppose I drop this needle now on the paper. 129 00:07:37,891 --> 00:07:42,227 NARRATOR: Sometimes when you drop the needle, it will cut a line, 130 00:07:42,229 --> 00:07:44,930 and sometimes it drops between the lines. 131 00:07:44,932 --> 00:07:47,632 It turns out the probability 132 00:07:47,634 --> 00:07:50,569 that the needle lands so it cuts a line 133 00:07:50,571 --> 00:07:54,406 is exactly two over pi, or about... 134 00:07:56,209 --> 00:07:59,211 ...64%. 135 00:07:59,213 --> 00:08:03,014 Now, what that means is that, in principle, 136 00:08:03,016 --> 00:08:05,417 I could drop this needle millions of times. 137 00:08:05,419 --> 00:08:08,353 I could count the times when it crosses a line 138 00:08:08,355 --> 00:08:10,922 and when it doesn't cross a line, 139 00:08:10,924 --> 00:08:12,991 and I could actually even calculate pi 140 00:08:12,993 --> 00:08:15,760 even though there are no circles here, 141 00:08:15,762 --> 00:08:18,497 no diameters of a circle, nothing like that. 142 00:08:18,499 --> 00:08:20,131 It's really amazing. 143 00:08:24,937 --> 00:08:27,873 NARRATOR: Since pi relates a round object, a circle, 144 00:08:27,875 --> 00:08:31,142 with a straight one, its diameter, 145 00:08:31,144 --> 00:08:35,180 it can show up in the strangest of places. 146 00:08:35,182 --> 00:08:38,650 Some see it in the meandering path of rivers. 147 00:08:38,652 --> 00:08:40,185 A river's actual length 148 00:08:40,187 --> 00:08:43,421 as it winds its way from its source to its mouth 149 00:08:43,423 --> 00:08:49,895 compared to the direct distance on average seems to be about pi. 150 00:08:49,897 --> 00:08:52,497 Models for just about anything involving waves 151 00:08:52,499 --> 00:08:58,904 will have pi in them, like those for light and sound. 152 00:08:58,906 --> 00:09:02,674 Pi tells us which colors should appear in a rainbow, 153 00:09:02,676 --> 00:09:06,511 and how middle C should sound on a piano. 154 00:09:06,513 --> 00:09:09,047 Pi shows up in apples, 155 00:09:09,049 --> 00:09:12,417 in the way cells grow into spherical shapes, 156 00:09:12,419 --> 00:09:17,455 or in the brightness of a supernova. 157 00:09:17,457 --> 00:09:19,824 One writer has suggested 158 00:09:19,826 --> 00:09:23,795 it's like seeing pi on a series of mountain peaks, 159 00:09:23,797 --> 00:09:26,898 poking out of a fog-shrouded valley. 160 00:09:26,900 --> 00:09:29,067 We know there's a way they're all connected, 161 00:09:29,069 --> 00:09:33,471 but it's not always obvious how. 162 00:09:36,175 --> 00:09:38,677 Pi is but one example 163 00:09:38,679 --> 00:09:41,713 of a vast interconnected web of mathematics 164 00:09:41,715 --> 00:09:43,682 that seems to reveal 165 00:09:43,684 --> 00:09:47,185 an often hidden and deep order to our world. 166 00:09:50,623 --> 00:09:55,760 Physicist Max Tegmark from MIT thinks he knows why. 167 00:09:55,762 --> 00:09:59,364 He sees similarities between our world 168 00:09:59,366 --> 00:10:01,866 and that of a computer game. 169 00:10:05,705 --> 00:10:09,240 MAX TEGMARK: If I were a character in a computer game 170 00:10:09,242 --> 00:10:12,043 that were so advanced that I were actually conscious 171 00:10:12,045 --> 00:10:14,512 and I started exploring my video game world, 172 00:10:14,514 --> 00:10:16,881 it would actually feel to me like it was made 173 00:10:16,883 --> 00:10:20,285 of real solid objects made of physical stuff. 174 00:10:20,287 --> 00:10:23,588 ♪ ♪ 175 00:10:28,194 --> 00:10:32,030 Yet, if I started studying, as the curious physicist that I am, 176 00:10:32,032 --> 00:10:33,431 the properties of this stuff, 177 00:10:33,433 --> 00:10:36,534 the equations by which things move 178 00:10:36,536 --> 00:10:40,205 and the equations that give stuff its properties, 179 00:10:40,207 --> 00:10:42,040 I would discover eventually 180 00:10:42,042 --> 00:10:44,643 that all these properties were mathematical: 181 00:10:44,645 --> 00:10:46,544 the mathematical properties 182 00:10:46,546 --> 00:10:49,447 that the programmer had actually put into the software 183 00:10:49,449 --> 00:10:52,217 that describes everything. 184 00:10:52,219 --> 00:10:54,753 NARRATOR: The laws of physics in a game-- 185 00:10:54,755 --> 00:10:57,922 like how an object floats, bounces, or crashes-- 186 00:10:57,924 --> 00:11:02,827 are only mathematical rules created by a programmer. 187 00:11:02,829 --> 00:11:06,297 Ultimately, the entire "universe" of a computer game 188 00:11:06,299 --> 00:11:10,568 is just numbers and equations. 189 00:11:10,570 --> 00:11:12,570 That's exactly what I perceive in this reality, too, 190 00:11:12,572 --> 00:11:13,905 as a physicist, 191 00:11:13,907 --> 00:11:16,508 that the closer I look at things that seem non-mathematical, 192 00:11:16,510 --> 00:11:18,576 like my arm here and my hand, 193 00:11:18,578 --> 00:11:21,079 the more mathematical it turns out to be. 194 00:11:21,081 --> 00:11:23,448 Could it be that our world also then 195 00:11:23,450 --> 00:11:28,720 is really just as mathematical as the computer game reality? 196 00:11:28,722 --> 00:11:33,792 NARRATOR: To Max, the software world of a game isn't that different 197 00:11:33,794 --> 00:11:36,461 from the physical world we live in. 198 00:11:36,463 --> 00:11:40,899 He thinks that mathematics works so well to describe reality 199 00:11:40,901 --> 00:11:45,170 because ultimately, mathematics is all that it is. 200 00:11:45,172 --> 00:11:48,673 There's nothing else. 201 00:11:48,675 --> 00:11:50,675 Many of my physics colleagues 202 00:11:50,677 --> 00:11:54,412 will say that mathematics describes our physical reality 203 00:11:54,414 --> 00:11:56,848 at least in some approximate sense. 204 00:11:56,850 --> 00:12:02,687 I go further and argue that it actually is our physical reality 205 00:12:02,689 --> 00:12:05,557 because I'm arguing that our physical world 206 00:12:05,559 --> 00:12:08,293 doesn't just have some mathematical properties, 207 00:12:08,295 --> 00:12:10,261 but it has only mathematical properties. 208 00:12:13,265 --> 00:12:16,835 NARRATOR: Our physical reality is a bit like a digital photograph, 209 00:12:16,837 --> 00:12:18,369 according to Max. 210 00:12:20,306 --> 00:12:23,174 The photo looks like the pond, 211 00:12:23,176 --> 00:12:27,045 but as we move in closer and closer, 212 00:12:27,047 --> 00:12:30,615 we can see it is really a field of pixels, 213 00:12:30,617 --> 00:12:33,551 each represented by three numbers 214 00:12:33,553 --> 00:12:38,490 that specify the amount of red, green and blue. 215 00:12:38,492 --> 00:12:43,728 While the universe is vast in its size and complexity, 216 00:12:43,730 --> 00:12:47,332 requiring an unbelievably large collection of numbers 217 00:12:47,334 --> 00:12:49,334 to describe it, 218 00:12:49,336 --> 00:12:52,203 Max sees its underlying mathematical structure 219 00:12:52,205 --> 00:12:54,606 as surprisingly simple. 220 00:12:54,608 --> 00:12:57,642 It's just 32 numbers-- 221 00:12:57,644 --> 00:13:01,412 constants, like the masses of elementary particles-- 222 00:13:01,414 --> 00:13:05,517 along with a handful of mathematical equations, 223 00:13:05,519 --> 00:13:08,853 the fundamental laws of physics. 224 00:13:08,855 --> 00:13:11,890 And it all fits on a wall, 225 00:13:11,892 --> 00:13:15,860 though there are still some questions. 226 00:13:15,862 --> 00:13:17,762 But even though we don't know 227 00:13:17,764 --> 00:13:19,631 what exactly is going to go here, 228 00:13:19,633 --> 00:13:22,834 I am really confident that what will go here 229 00:13:22,836 --> 00:13:25,036 will be mathematical equations. 230 00:13:25,038 --> 00:13:28,206 That everything is ultimately mathematical. 231 00:13:28,208 --> 00:13:32,277 NARRATOR: Max Tegmark's Matrix-like view 232 00:13:32,279 --> 00:13:35,547 that mathematics doesn't just describe reality 233 00:13:35,549 --> 00:13:39,584 but is its essence may sound radical, 234 00:13:39,586 --> 00:13:42,253 but it has deep roots in history... 235 00:13:44,223 --> 00:13:46,591 going back to ancient Greece, 236 00:13:46,593 --> 00:13:50,728 to the time of the philosopher and mystic Pythagoras. 237 00:13:50,730 --> 00:13:54,499 Stories say he explored the affinity 238 00:13:54,501 --> 00:13:57,235 between mathematics and music, 239 00:13:57,237 --> 00:14:00,772 a relationship that resonates to this day 240 00:14:00,774 --> 00:14:03,241 in the work of Esperanza Spalding, 241 00:14:03,243 --> 00:14:06,711 an acclaimed jazz musician who's studied music theory 242 00:14:06,713 --> 00:14:10,682 and sees its parallel in mathematics. 243 00:14:12,852 --> 00:14:15,320 SPALDING: I love the experience of math. 244 00:14:15,322 --> 00:14:17,121 The part that I enjoy about math 245 00:14:17,123 --> 00:14:19,858 I get to experience through music, too. 246 00:14:21,627 --> 00:14:22,627 At the beginning, 247 00:14:22,629 --> 00:14:24,329 you're studying all the little equations, 248 00:14:24,331 --> 00:14:27,265 but you get to have this very visceral relationship 249 00:14:27,267 --> 00:14:29,500 with the product of those equations, 250 00:14:29,502 --> 00:14:31,402 which is sound and music and harmony and dissonance 251 00:14:31,404 --> 00:14:33,037 and all that good stuff. 252 00:14:33,039 --> 00:14:35,240 So I'm much better at music than at math, 253 00:14:35,242 --> 00:14:37,308 but I love math with a passion. 254 00:14:37,310 --> 00:14:38,610 They're both just as much work. 255 00:14:38,612 --> 00:14:40,879 They're both, you have to study your... off. 256 00:14:43,249 --> 00:14:44,716 Your head off, study your head off. 257 00:14:44,718 --> 00:14:45,650 (laughs) 258 00:14:47,553 --> 00:14:49,921 NARRATOR: The Ancient Greeks found three relationships 259 00:14:49,923 --> 00:14:52,657 between notes especially pleasing. 260 00:14:52,659 --> 00:14:58,830 Now we call them an octave, a fifth, and a fourth. 261 00:14:58,832 --> 00:15:00,865 An octave is easy to remember 262 00:15:00,867 --> 00:15:03,067 because it's the first two notes of "Somewhere Over the Rainbow." 263 00:15:03,069 --> 00:15:04,702 ♪ La, la. ♪ 264 00:15:04,704 --> 00:15:06,437 That's an octave-- "somewhere." 265 00:15:06,439 --> 00:15:10,141 (plays notes) 266 00:15:10,143 --> 00:15:12,010 A fifth sounds like this: 267 00:15:12,012 --> 00:15:13,678 ♪ La, la. ♪ 268 00:15:13,680 --> 00:15:16,748 Or the first two notes of "Twinkle, Twinkle, Little Star." 269 00:15:16,750 --> 00:15:18,716 (plays notes) 270 00:15:18,718 --> 00:15:21,052 And a fourth sounds like: 271 00:15:21,054 --> 00:15:23,721 ♪ La, la ♪ 272 00:15:23,723 --> 00:15:24,923 (plays notes) 273 00:15:24,925 --> 00:15:26,557 You can think of it as the first two notes 274 00:15:26,559 --> 00:15:27,892 of "Here Comes the Bride." 275 00:15:27,894 --> 00:15:31,496 (plays notes) 276 00:15:31,498 --> 00:15:34,465 NARRATOR: In the sixth century BCE, 277 00:15:34,467 --> 00:15:36,834 the Greek philosopher Pythagoras is said to have discovered 278 00:15:36,836 --> 00:15:39,837 that those beautiful musical relationships 279 00:15:39,839 --> 00:15:43,207 were also beautiful mathematical relationships 280 00:15:43,209 --> 00:15:47,745 by measuring the lengths of the vibrating strings. 281 00:15:47,747 --> 00:15:51,983 In an octave, the string lengths create a ratio of two to one. 282 00:15:51,985 --> 00:15:54,652 (plays notes) 283 00:15:54,654 --> 00:15:57,889 In a fifth, the ratio is three to two. 284 00:15:57,891 --> 00:15:59,724 (plays notes) 285 00:15:59,726 --> 00:16:03,094 And in a fourth, it is four to three. 286 00:16:03,096 --> 00:16:06,364 (plays notes) 287 00:16:06,366 --> 00:16:08,800 Seeing a common pattern throughout sound, 288 00:16:08,802 --> 00:16:11,302 that could be a big eye opener of saying, 289 00:16:11,304 --> 00:16:13,504 "Well, if this exists in sound, 290 00:16:13,506 --> 00:16:17,408 "and if it's true universally through all sounds, 291 00:16:17,410 --> 00:16:21,245 "this ratio could exist universally everywhere, right? 292 00:16:21,247 --> 00:16:22,714 And doesn't it?" 293 00:16:22,716 --> 00:16:25,383 (playing a tune) 294 00:16:25,385 --> 00:16:28,753 NARRATOR: Pythagoreans worshipped the idea of numbers. 295 00:16:28,755 --> 00:16:32,590 The fact that simple ratios produced harmonious sounds 296 00:16:32,592 --> 00:16:36,594 was proof of a hidden order in the natural world. 297 00:16:36,596 --> 00:16:38,830 And that order was made of numbers, 298 00:16:38,832 --> 00:16:42,333 a profound insight that mathematicians and scientists 299 00:16:42,335 --> 00:16:46,904 continue to explore to this day. 300 00:16:48,974 --> 00:16:52,310 In fact, there are plenty of other physical phenomena 301 00:16:52,312 --> 00:16:56,814 that follow simple ratios, from the two-to-one ratio 302 00:16:56,816 --> 00:17:00,651 of hydrogen atoms to oxygen atoms in water 303 00:17:00,653 --> 00:17:03,521 to the number of times the Moon orbits the Earth 304 00:17:03,523 --> 00:17:07,425 compared to its own rotation: one to one. 305 00:17:07,427 --> 00:17:11,329 Or that Mercury rotates exactly three times 306 00:17:11,331 --> 00:17:16,234 when it orbits the Sun twice, a three-to-two ratio. 307 00:17:18,837 --> 00:17:22,373 In Ancient Greece, Pythagoras and his followers 308 00:17:22,375 --> 00:17:27,011 had a profound effect on another Greek philosopher, Plato, 309 00:17:27,013 --> 00:17:29,981 whose ideas also resonate to this day, 310 00:17:29,983 --> 00:17:32,483 especially among mathematicians. 311 00:17:32,485 --> 00:17:35,853 Plato believed that geometry and mathematics 312 00:17:35,855 --> 00:17:40,358 exist in their own ideal world. 313 00:17:40,360 --> 00:17:42,794 So when we draw a circle on a piece of paper, 314 00:17:42,796 --> 00:17:44,562 this is not the real circle. 315 00:17:44,564 --> 00:17:46,697 The real circle is in that world, 316 00:17:46,699 --> 00:17:49,033 and this is just an approximation 317 00:17:49,035 --> 00:17:50,368 of that real circle, 318 00:17:50,370 --> 00:17:52,637 and the same with all other shapes. 319 00:17:52,639 --> 00:17:55,640 And Plato liked very much these five solids, 320 00:17:55,642 --> 00:17:58,242 the platonic solids we call them today, 321 00:17:58,244 --> 00:18:02,246 and he assigned each one of them to one of the elements 322 00:18:02,248 --> 00:18:04,315 that formed the world as he saw it. 323 00:18:04,317 --> 00:18:09,387 NARRATOR: The stable cube was earth. 324 00:18:09,389 --> 00:18:14,692 The tetrahedron with its pointy corners was fire. 325 00:18:14,694 --> 00:18:20,631 The mobile-looking octahedron Plato thought of as air. 326 00:18:20,633 --> 00:18:26,904 And the 20-sided icosahedron was water. 327 00:18:26,906 --> 00:18:29,240 And finally the dodecahedron, 328 00:18:29,242 --> 00:18:31,843 this was the thing that signified the cosmos as a whole. 329 00:18:36,682 --> 00:18:39,016 NARRATOR: So Plato's mathematical forms 330 00:18:39,018 --> 00:18:41,953 were the ideal version of the world around us, 331 00:18:41,955 --> 00:18:45,389 and they existed in their own realm. 332 00:18:45,391 --> 00:18:47,391 And however bizarre that may sound, 333 00:18:47,393 --> 00:18:50,595 that mathematics exists in its own world, 334 00:18:50,597 --> 00:18:55,166 shaping the world we see, it's an idea that to this day 335 00:18:55,168 --> 00:18:59,003 many mathematicians and scientists can relate to-- 336 00:18:59,005 --> 00:19:01,105 the sense they have when they're doing math 337 00:19:01,107 --> 00:19:03,441 that they're just uncovering something 338 00:19:03,443 --> 00:19:05,543 that's already out there. 339 00:19:05,545 --> 00:19:07,879 I feel quite strongly that mathematics is discovered 340 00:19:07,881 --> 00:19:09,447 in my work as a mathematician. 341 00:19:09,449 --> 00:19:11,682 It always feels to me there is a thing out there 342 00:19:11,684 --> 00:19:13,718 and I'm kind of trying to find it 343 00:19:13,720 --> 00:19:15,186 and understand it and touch it. 344 00:19:17,689 --> 00:19:19,957 JAMES GATES: As someone who actually has had the pleasure 345 00:19:19,959 --> 00:19:21,626 of making new mathematics, 346 00:19:21,628 --> 00:19:24,562 it feels like there's something there before you get to it. 347 00:19:24,564 --> 00:19:26,164 If I have to choose, 348 00:19:26,166 --> 00:19:28,366 I think it's more discovered than invented 349 00:19:28,368 --> 00:19:30,067 because I think there's a reality 350 00:19:30,069 --> 00:19:32,436 to what we study in mathematics. 351 00:19:32,438 --> 00:19:34,438 When we do good mathematics, 352 00:19:34,440 --> 00:19:37,742 we're discovering something about the way our minds work 353 00:19:37,744 --> 00:19:39,710 in interaction with the world. 354 00:19:39,712 --> 00:19:41,646 Well, I know that because that's what I do. 355 00:19:41,648 --> 00:19:43,981 I come to my office, I sit down in front of my whiteboard 356 00:19:43,983 --> 00:19:47,852 and I try and understand that thing that's out there. 357 00:19:47,854 --> 00:19:50,154 And every now and then, I'm discovering a new bit of it. 358 00:19:50,156 --> 00:19:52,356 That's exactly what it feels like. 359 00:19:52,358 --> 00:19:54,892 NARRATOR: To many mathematicians, 360 00:19:54,894 --> 00:19:59,397 it feels like math is discovered rather than invented. 361 00:19:59,399 --> 00:20:01,899 But is that just a feeling? 362 00:20:01,901 --> 00:20:04,001 Could it be that mathematics 363 00:20:04,003 --> 00:20:08,072 is purely a product of the human brain? 364 00:20:08,074 --> 00:20:12,610 Meet Shyam, a bonafide math whiz. 365 00:20:12,612 --> 00:20:14,278 MICHAEL O'BOYLE: 800 on the SAT Math. 366 00:20:14,280 --> 00:20:15,680 That's pretty good. 367 00:20:15,682 --> 00:20:17,081 And you took it when you were how old? 368 00:20:17,083 --> 00:20:17,949 Eleven. 369 00:20:17,951 --> 00:20:18,950 Eleven. 370 00:20:18,952 --> 00:20:21,085 Wow, that's, like, a perfect score. 371 00:20:21,087 --> 00:20:23,521 NARRATOR: Where does Shyam's math genius come from? 372 00:20:23,523 --> 00:20:28,859 It turns out we can pinpoint it, and it's all in his head. 373 00:20:28,861 --> 00:20:34,532 Using fMRI, scientists can scan Shyam's brain 374 00:20:34,534 --> 00:20:37,034 as he answers math questions 375 00:20:37,036 --> 00:20:39,804 to see which parts of the brain receive more blood, 376 00:20:39,806 --> 00:20:43,874 a sign they are hard at work. 377 00:20:43,876 --> 00:20:45,209 MAN: All right, Shyam, we'll start about now. 378 00:20:45,211 --> 00:20:46,210 Okay, buddy? 379 00:20:46,212 --> 00:20:47,144 SHYAM: Okay. 380 00:20:48,914 --> 00:20:51,349 NARRATOR: In images of Shyam's brain, 381 00:20:51,351 --> 00:20:56,120 the parietal lobes glow an especially bright crimson. 382 00:20:56,122 --> 00:20:58,689 He is relying on parietal areas 383 00:20:58,691 --> 00:21:01,726 to determine these mathematical relationships. 384 00:21:01,728 --> 00:21:04,729 That's characteristic of lots of math-gifted types. 385 00:21:04,731 --> 00:21:08,065 NARRATOR: In tests similar to Shyam's, 386 00:21:08,067 --> 00:21:10,568 kids who exhibit high math performance 387 00:21:10,570 --> 00:21:13,638 have five to six times more neuron activation 388 00:21:13,640 --> 00:21:16,407 than average kids in these brain regions. 389 00:21:16,409 --> 00:21:20,544 But is that the result of teaching and intense practice? 390 00:21:20,546 --> 00:21:25,783 Or are the foundations of math built into our brains? 391 00:21:30,722 --> 00:21:33,157 Scientists are looking for the answer here, 392 00:21:33,159 --> 00:21:36,994 at the Duke University Lemur Center, 393 00:21:36,996 --> 00:21:38,629 a 70-acre sanctuary in North Carolina, 394 00:21:38,631 --> 00:21:42,533 the largest one for rare and endangered lemurs in the world. 395 00:21:45,337 --> 00:21:48,806 Like all primates, lemurs are related to humans 396 00:21:48,808 --> 00:21:51,442 through a common ancestor 397 00:21:51,444 --> 00:21:54,478 that lived as many as 65 million years ago. 398 00:21:54,480 --> 00:21:56,847 Scientists believe lemurs 399 00:21:56,849 --> 00:22:00,651 share many characteristics with those earliest primates, 400 00:22:00,653 --> 00:22:04,255 making them a window, though a blurry one, 401 00:22:04,257 --> 00:22:07,758 into our ancient past. 402 00:22:07,760 --> 00:22:09,960 Got a choice here, Teres. 403 00:22:09,962 --> 00:22:11,429 Come on up. 404 00:22:11,431 --> 00:22:13,130 NARRATOR: Duke Professor Liz Brannon 405 00:22:13,132 --> 00:22:16,300 investigates how well lemurs, like Teres here, 406 00:22:16,302 --> 00:22:18,636 can compare quantities. 407 00:22:18,638 --> 00:22:21,839 BRANNON: Many different animals choose larger food quantities. 408 00:22:21,841 --> 00:22:24,608 So what is Teres doing? 409 00:22:24,610 --> 00:22:26,944 What are all of these different animals doing 410 00:22:26,946 --> 00:22:29,580 when they compare two quantities? 411 00:22:29,582 --> 00:22:32,083 Well, clearly he's not using verbal labels, 412 00:22:32,085 --> 00:22:34,318 he's not using symbols. 413 00:22:34,320 --> 00:22:37,521 We need to figure out whether they can really use number, 414 00:22:37,523 --> 00:22:39,924 pure number, as a cue. 415 00:22:41,993 --> 00:22:45,930 NARRATOR: To test how well Teres can distinguish quantities, 416 00:22:45,932 --> 00:22:49,333 he's been taught a touch-screen computer game. 417 00:22:49,335 --> 00:22:52,570 The red square starts a round. 418 00:22:52,572 --> 00:22:55,506 If he touches it, two squares appear 419 00:22:55,508 --> 00:22:58,743 containing different numbers of objects. 420 00:22:58,745 --> 00:22:59,877 He's been trained 421 00:22:59,879 --> 00:23:02,847 that if he chooses the box with the fewest number... 422 00:23:02,849 --> 00:23:04,348 (ringing) 423 00:23:04,350 --> 00:23:07,818 ...he'll get a reward, a sugar pellet. 424 00:23:07,820 --> 00:23:09,353 A wrong answer? 425 00:23:09,355 --> 00:23:10,287 (buzzer) 426 00:23:13,859 --> 00:23:15,526 We have to do a lot to ensure 427 00:23:15,528 --> 00:23:18,462 that they're really attending to number and not something else. 428 00:23:18,464 --> 00:23:22,266 NARRATOR: To make sure the test animal is reacting 429 00:23:22,268 --> 00:23:25,302 to the number of objects and not some other cue, 430 00:23:25,304 --> 00:23:30,941 Liz varies the objects' size, color, and shape. 431 00:23:30,943 --> 00:23:33,844 She has conducted thousands of trials 432 00:23:33,846 --> 00:23:36,847 and shown that lemurs and rhesus monkeys 433 00:23:36,849 --> 00:23:40,317 can learn to pick the right answer. 434 00:23:40,319 --> 00:23:42,553 BRANNON: Teres obviously doesn't have language 435 00:23:42,555 --> 00:23:44,522 and he doesn't have any symbols for number. 436 00:23:44,524 --> 00:23:47,458 So is he counting, is he doing what a human child does 437 00:23:47,460 --> 00:23:50,594 when they recite the numbers one, two, three? 438 00:23:50,596 --> 00:23:52,062 No. 439 00:23:52,064 --> 00:23:55,533 And yet, what he seems to be attending to 440 00:23:55,535 --> 00:24:00,604 is the very abstract essence of what a nuer is. 441 00:24:00,606 --> 00:24:04,475 NARRATOR: Lemurs and rhesus monkeys aren't alone 442 00:24:04,477 --> 00:24:06,210 in having this primitive number sense. 443 00:24:06,212 --> 00:24:10,114 Rats, pigeons, fish, raccoons, 444 00:24:10,116 --> 00:24:13,584 insects, horses, and elephants 445 00:24:13,586 --> 00:24:16,754 all show sensitivity to quantity. 446 00:24:16,756 --> 00:24:19,824 And so do human infants. 447 00:24:21,927 --> 00:24:24,361 At her lab on the Duke campus, 448 00:24:24,363 --> 00:24:28,065 Liz has tested babies that were only six months old. 449 00:24:28,067 --> 00:24:30,768 They'll look longer at a screen 450 00:24:30,770 --> 00:24:33,704 with a changing number of objects, 451 00:24:33,706 --> 00:24:35,773 as long as the change is obvious enough 452 00:24:35,775 --> 00:24:38,309 to capture their attention. 453 00:24:38,311 --> 00:24:42,980 Liz has also tested college students, 454 00:24:42,982 --> 00:24:44,949 asking them not to count, 455 00:24:44,951 --> 00:24:47,485 but to respond as quickly as they could 456 00:24:47,487 --> 00:24:50,554 to a touch-screen test comparing quantities. 457 00:24:50,556 --> 00:24:52,223 The results? 458 00:24:52,225 --> 00:24:56,927 About the same as lemurs and rhesus monkeys. 459 00:24:56,929 --> 00:24:58,729 BRANNON: In fact, there are humans 460 00:24:58,731 --> 00:25:01,098 who aren't as good as our monkeys, 461 00:25:01,100 --> 00:25:03,100 and others that are far better, 462 00:25:03,102 --> 00:25:05,102 so there's a lot of variability in human performance, 463 00:25:05,104 --> 00:25:08,239 but in general, it looks very similar to a monkey. 464 00:25:10,308 --> 00:25:13,577 Substitute in the three, you raise that to the four... 465 00:25:13,579 --> 00:25:16,046 BRANNON: Even without any mathematical education, 466 00:25:16,048 --> 00:25:19,149 even without learning any number words or symbols, 467 00:25:19,151 --> 00:25:21,752 we would still have, all of us as humans, 468 00:25:21,754 --> 00:25:23,621 a primitive number sense. 469 00:25:23,623 --> 00:25:27,558 That fundamental ability to perceive number 470 00:25:27,560 --> 00:25:30,427 seems to be a very important foundation, 471 00:25:30,429 --> 00:25:32,429 and without it, it's very questionable 472 00:25:32,431 --> 00:25:36,200 as to whether we could ever appreciate symbolic mathematics. 473 00:25:36,202 --> 00:25:38,335 NARRATOR: The building blocks of mathematics 474 00:25:38,337 --> 00:25:41,338 may be preprogrammed into our brains, 475 00:25:41,340 --> 00:25:44,608 part of the basic toolkit for survival, 476 00:25:44,610 --> 00:25:48,712 like our ability to recognize patterns and shapes 477 00:25:48,714 --> 00:25:51,181 or our sense of time. 478 00:25:51,183 --> 00:25:53,517 From that point of view, on this foundation, 479 00:25:53,519 --> 00:25:55,953 we've erected one of the greatest inventions 480 00:25:55,955 --> 00:25:59,723 of human culture: 481 00:25:59,725 --> 00:26:02,693 mathematics. 482 00:26:02,695 --> 00:26:05,095 But the mystery remains. 483 00:26:05,097 --> 00:26:11,168 If it is "all in our heads," why has math been so effective? 484 00:26:11,170 --> 00:26:14,738 Through science, technology, and engineering, 485 00:26:14,740 --> 00:26:17,274 it's transformed the planet, 486 00:26:17,276 --> 00:26:22,012 even allowing us to go into the beyond. 487 00:26:24,182 --> 00:26:27,251 As in the work here, at NASA's Jet Propulsion Laboratory 488 00:26:27,253 --> 00:26:28,919 in Pasadena, California. 489 00:26:28,921 --> 00:26:31,455 MAN: Roger, copy mission. 490 00:26:31,457 --> 00:26:32,823 Coming up on entry. 491 00:26:32,825 --> 00:26:38,028 NARRATOR: In 2012, they landed a car-size rover... 492 00:26:38,030 --> 00:26:40,998 MAN: Descending at about .75 meters per second as expected. 493 00:26:41,000 --> 00:26:43,067 NARRATOR: ...on Mars. 494 00:26:43,069 --> 00:26:45,569 MAN: Touchdown confirmed, we're safe on Mars. 495 00:26:45,571 --> 00:26:50,507 (cheering) 496 00:26:50,509 --> 00:26:53,611 NARRATOR: Adam Steltzner was the lead engineer 497 00:26:53,613 --> 00:26:55,679 on the team that designed the landing system. 498 00:26:55,681 --> 00:27:00,050 Their work depended on a groundbreaking discovery 499 00:27:00,052 --> 00:27:02,620 from the Renaissance 500 00:27:02,622 --> 00:27:06,824 that turned mathematics into the language of science: 501 00:27:06,826 --> 00:27:10,227 the law of falling bodies. 502 00:27:12,764 --> 00:27:15,899 The ancient Greek philosopher Aristotle 503 00:27:15,901 --> 00:27:20,204 taught that heavier objects fall faster than lighter ones-- 504 00:27:20,206 --> 00:27:25,342 an idea that, on the surface, makes sense. 505 00:27:25,344 --> 00:27:29,246 Even this surface: the Mars yard, 506 00:27:29,248 --> 00:27:32,016 where they test the rovers at JPL. 507 00:27:32,018 --> 00:27:33,584 ADAM STELTZNER: So Aristotle reasoned 508 00:27:33,586 --> 00:27:37,655 that the rate at which things would fall 509 00:27:37,657 --> 00:27:39,289 was proportional to their weight. 510 00:27:43,294 --> 00:27:44,595 Which seems reasonable. 511 00:27:44,597 --> 00:27:46,830 NARRATOR: In fact, so reasonable, 512 00:27:46,832 --> 00:27:50,868 the view held for nearly 2,000 years, 513 00:27:50,870 --> 00:27:53,504 until challenged in the late 1500s 514 00:27:53,506 --> 00:27:58,876 by Italian mathematician Galileo Galilei. 515 00:27:58,878 --> 00:28:00,644 STELTZNER: Legend has it that Galileo 516 00:28:00,646 --> 00:28:03,380 dropped two different weight cannonballs 517 00:28:03,382 --> 00:28:05,983 from the Leaning Tower of Pisa. 518 00:28:05,985 --> 00:28:08,085 Well, we're not in Pisa, we don't have cannonballs, 519 00:28:08,087 --> 00:28:11,255 but we do have a bowling ball and a bouncy ball. 520 00:28:11,257 --> 00:28:13,290 Let's weigh them. 521 00:28:13,292 --> 00:28:17,361 First, we weigh the bowling ball. 522 00:28:17,363 --> 00:28:19,463 It weighs 15 pounds. 523 00:28:19,465 --> 00:28:20,764 And the bouncy ball? 524 00:28:20,766 --> 00:28:23,734 It weighs hardly anything. 525 00:28:23,736 --> 00:28:24,868 Let's drop them. 526 00:28:24,870 --> 00:28:27,738 NARRATOR: According to Aristotle, 527 00:28:27,740 --> 00:28:31,041 the bowling ball should fall over 15 times faster 528 00:28:31,043 --> 00:28:32,943 than the bouncy ball. 529 00:28:35,880 --> 00:28:37,815 STELTZNER: Well, they seem to fall at the same rate. 530 00:28:39,918 --> 00:28:41,518 This isn't that high, though. 531 00:28:41,520 --> 00:28:44,455 Maybe we should drop them from higher. 532 00:28:51,796 --> 00:28:54,898 So Ed is 20 feet in the air up there. 533 00:28:54,900 --> 00:28:58,102 Let's see if the balls fall at the same rate. 534 00:28:58,104 --> 00:28:59,536 Ready? 535 00:28:59,538 --> 00:29:03,207 Three, two, one, drop! 536 00:29:10,281 --> 00:29:11,815 Galileo was right. 537 00:29:11,817 --> 00:29:13,984 Aristotle, you lose. 538 00:29:13,986 --> 00:29:17,621 NARRATOR: Dropping feathers and hammers is misleading, 539 00:29:17,623 --> 00:29:21,525 thanks to air resistance. 540 00:29:21,527 --> 00:29:24,094 DAVID SCOTT: Well, in my left hand, I have a feather. 541 00:29:24,096 --> 00:29:26,697 In my right hand, a hammer... 542 00:29:26,699 --> 00:29:30,634 NARRATOR: A fact demonstrated on the Moon, where there is no air, 543 00:29:30,636 --> 00:29:34,338 in 1971 during the Apollo 15 mission. 544 00:29:34,340 --> 00:29:36,473 SCOTT: And I'll drop the two of them here. 545 00:29:38,343 --> 00:29:39,443 How about that? 546 00:29:39,445 --> 00:29:40,978 Mr. Galileo was correct. 547 00:29:40,980 --> 00:29:44,381 STELTZNER: Little balls, soccer balls... 548 00:29:44,383 --> 00:29:45,916 NARRATOR: So while counterintuitive... 549 00:29:45,918 --> 00:29:47,851 STELTZNER: Vegetables! 550 00:29:47,853 --> 00:29:49,953 NARRATOR: ...if you take the air out of the equation, 551 00:29:49,955 --> 00:29:54,124 everything falls at the same rate, 552 00:29:54,126 --> 00:29:56,026 even Aristotle. 553 00:29:59,764 --> 00:30:01,765 But what really interested Galileo 554 00:30:01,767 --> 00:30:04,134 was that an object dropped at one height 555 00:30:04,136 --> 00:30:09,807 didn't take twice as long to drop from twice as high; 556 00:30:09,809 --> 00:30:12,409 it accelerated. 557 00:30:12,411 --> 00:30:15,179 But how do you measure that? 558 00:30:15,181 --> 00:30:19,082 Everything is happening so fast. 559 00:30:19,084 --> 00:30:21,051 STELTZNER: Oh, yes! 560 00:30:23,788 --> 00:30:26,790 NARRATOR: Galileo came up with an ingenious solution. 561 00:30:30,295 --> 00:30:36,600 He built a ramp, an inclined plane, 562 00:30:36,602 --> 00:30:42,239 to slow the falling motion down so he could measure it. 563 00:30:42,241 --> 00:30:44,775 STELTZNER: So we're going to use this ramp 564 00:30:44,777 --> 00:30:49,746 to find the relationship between distance and time. 565 00:30:49,748 --> 00:30:53,917 For time, I'll use an arbitrary unit: a Galileo. 566 00:30:53,919 --> 00:30:55,452 One Galileo. 567 00:30:56,955 --> 00:30:59,890 NARRATOR: The length of the ramp that the ball rolls 568 00:30:59,892 --> 00:31:04,962 during one Galileo becomes one unit of distance. 569 00:31:04,964 --> 00:31:07,231 So we've gone one unit of distance 570 00:31:07,233 --> 00:31:09,266 in one unit of time. 571 00:31:09,268 --> 00:31:11,768 Now let's try it for a two-count. 572 00:31:11,770 --> 00:31:14,137 One Galileo, two Galileo. 573 00:31:14,139 --> 00:31:15,973 NARRATOR: In two units of time, 574 00:31:15,975 --> 00:31:20,077 the ball has rolled four units of distance. 575 00:31:20,079 --> 00:31:25,482 Now let's see how far it goes in three Galileos. 576 00:31:25,484 --> 00:31:29,286 One Galileo, two Galileo, three Galileo. 577 00:31:29,288 --> 00:31:31,488 NARRATOR: In three units of time, 578 00:31:31,490 --> 00:31:35,926 the ball has gone nine units of distance. 579 00:31:35,928 --> 00:31:37,594 So there it is. 580 00:31:37,596 --> 00:31:39,630 There's a mathematical relationship here 581 00:31:39,632 --> 00:31:42,232 between time and distance. 582 00:31:42,234 --> 00:31:45,135 NARRATOR: Galileo's inspired use of a ramp 583 00:31:45,137 --> 00:31:49,306 had shown falling objects follow mathematical laws. 584 00:31:51,342 --> 00:31:53,477 The distance the ball traveled 585 00:31:53,479 --> 00:31:58,382 is directly proportional to the square of the time. 586 00:31:58,384 --> 00:32:03,353 That mathematical relationship that Galileo observed 587 00:32:03,355 --> 00:32:07,124 is a mathematical expression of the physics of our universe. 588 00:32:07,126 --> 00:32:09,326 NARRATOR: Galileo's centuries-old 589 00:32:09,328 --> 00:32:12,696 mathematical observation about falling objects 590 00:32:12,698 --> 00:32:15,999 remains just as valid today. 591 00:32:16,001 --> 00:32:19,369 It's the same mathematical expression that we can use 592 00:32:19,371 --> 00:32:22,873 to understand how objects might fall here on Earth, 593 00:32:22,875 --> 00:32:25,108 roll down a ramp. 594 00:32:25,110 --> 00:32:27,377 It's even a relationship that we used 595 00:32:27,379 --> 00:32:30,881 to land the Curiosity rover on the surface of Mars. 596 00:32:33,451 --> 00:32:35,285 That's the power of mathematics. 597 00:32:35,287 --> 00:32:39,957 NARRATOR: Galileo's insight was profound. 598 00:32:39,959 --> 00:32:43,026 Mathematics could be used as a tool 599 00:32:43,028 --> 00:32:47,898 to uncover and discover the hidden rules of our world. 600 00:32:47,900 --> 00:32:49,900 He later wrote, 601 00:32:49,902 --> 00:32:54,304 "The universe is written in the language of mathematics." 602 00:32:55,840 --> 00:32:58,508 Math is really the language 603 00:32:58,510 --> 00:33:00,644 in which we understand the universe. 604 00:33:00,646 --> 00:33:02,579 We don't know why it's the case 605 00:33:02,581 --> 00:33:06,149 that the laws of physics and the universe 606 00:33:06,151 --> 00:33:09,286 follows mathematical models, but it does seem to be the case. 607 00:33:10,855 --> 00:33:13,056 NARRATOR: While Galileo turned mathematical equations 608 00:33:13,058 --> 00:33:15,392 into laws of science, 609 00:33:15,394 --> 00:33:19,696 it was another man, born the same year Galileo died, 610 00:33:19,698 --> 00:33:23,734 who took that to new heights that crossed the heavens. 611 00:33:23,736 --> 00:33:27,971 His name was Isaac Newton. 612 00:33:29,240 --> 00:33:33,710 He worked here at Trinity College in Cambridge, England. 613 00:33:33,712 --> 00:33:37,247 SIMON SCHAFFER: Newton cultivated the reputation 614 00:33:37,249 --> 00:33:39,182 of being a solitary genius, 615 00:33:39,184 --> 00:33:42,986 and here in the bowling green of Trinity College, 616 00:33:42,988 --> 00:33:46,223 it was said that he would walk meditatively 617 00:33:46,225 --> 00:33:49,993 up and down the paths, absentmindedly drawing 618 00:33:49,995 --> 00:33:53,096 mathematical diagrams in the gravel, 619 00:33:53,098 --> 00:33:57,100 and the fellows were instructed, or so it was said, 620 00:33:57,102 --> 00:33:59,336 not to disturb him, 621 00:33:59,338 --> 00:34:02,572 not to clear up the gravel after he'd passed, 622 00:34:02,574 --> 00:34:05,942 in case they inadvertently wiped out 623 00:34:05,944 --> 00:34:09,780 some major scientific or mathematical discovery. 624 00:34:09,782 --> 00:34:14,951 NARRATOR: In 1687, Newton published a book 625 00:34:14,953 --> 00:34:19,056 that would become a landmark in the history of science. 626 00:34:19,058 --> 00:34:22,192 Today, it is known simply as the "Principia." 627 00:34:22,194 --> 00:34:23,693 In it, Newton gathered observations 628 00:34:23,695 --> 00:34:24,861 from around the world 629 00:34:24,863 --> 00:34:29,433 and used mathematics to explain them-- 630 00:34:29,435 --> 00:34:33,570 for instance, that of a comet seen widely in the fall of 1680. 631 00:34:33,572 --> 00:34:35,839 SCHAFFER: He gathers data worldwide 632 00:34:35,841 --> 00:34:39,643 in order to construct the comet's path. 633 00:34:39,645 --> 00:34:45,982 So for November the 19th, he begins with an observation 634 00:34:45,984 --> 00:34:49,719 made in Cambridge in England at 4:30 a.m. 635 00:34:49,721 --> 00:34:51,655 by a certain young person, 636 00:34:51,657 --> 00:34:58,462 and then at 5:00 in the morning at Boston in New England. 637 00:34:58,464 --> 00:35:01,398 So what Newton does is to accumulate numbers 638 00:35:01,400 --> 00:35:04,868 made by observers spread right across the globe 639 00:35:04,870 --> 00:35:06,770 in order to construct 640 00:35:06,772 --> 00:35:09,739 an unprecedentedly accurate calculation 641 00:35:09,741 --> 00:35:14,611 of how this great comet moved through the sky. 642 00:35:14,613 --> 00:35:18,215 NARRATOR: Newton's groundbreaking insight was that the force 643 00:35:18,217 --> 00:35:21,918 that sent the comet hurtling around the Sun... 644 00:35:21,920 --> 00:35:23,120 (cannon fire) 645 00:35:23,122 --> 00:35:24,988 ...was the same force 646 00:35:24,990 --> 00:35:28,325 that brought cannonballs back to Earth. 647 00:35:28,327 --> 00:35:33,964 It was the force behind Galileo's law of falling bodies, 648 00:35:33,966 --> 00:35:39,402 and it even held the planets in their orbits. 649 00:35:39,404 --> 00:35:44,741 He called the force gravity, and described it precisely 650 00:35:44,743 --> 00:35:47,277 in a surprisingly simple equation 651 00:35:47,279 --> 00:35:50,013 that explains how two masses attract each other, 652 00:35:50,015 --> 00:35:55,919 whether here on Earth or in the heavens above. 653 00:35:55,921 --> 00:35:59,089 SCHAFFER: What's so impressive and so dramatic 654 00:35:59,091 --> 00:36:02,292 is that a single mathematical law 655 00:36:02,294 --> 00:36:05,762 would allow you to move throughout the universe. 656 00:36:08,633 --> 00:36:14,437 NARRATOR: Today, we can even witness it at work beyond the Milky Way. 657 00:36:15,740 --> 00:36:18,742 This is a picture of two galaxies 658 00:36:18,744 --> 00:36:21,311 that are actually being drawn together in a merger. 659 00:36:21,313 --> 00:36:23,246 This is how galaxies build themselves. 660 00:36:23,248 --> 00:36:24,714 Right. 661 00:36:24,716 --> 00:36:26,283 NARRATOR: Mario Livio is on the team 662 00:36:26,285 --> 00:36:29,085 working with the images from the Hubble Space Telescope. 663 00:36:29,087 --> 00:36:32,155 For decades, scientists have used Hubble 664 00:36:32,157 --> 00:36:35,325 to gaze far beyond our solar system, 665 00:36:35,327 --> 00:36:38,595 even beyond the stars of our galaxy. 666 00:36:38,597 --> 00:36:41,998 It's shown us the distant gas clouds of nebulae 667 00:36:42,000 --> 00:36:46,169 and vast numbers of galaxies wheeling in the heavens 668 00:36:46,171 --> 00:36:49,406 billions of light-years away. 669 00:36:49,408 --> 00:36:51,541 And what those images show 670 00:36:51,543 --> 00:36:53,910 is that throughout the visible universe, 671 00:36:53,912 --> 00:36:56,613 as far as the telescope can see, 672 00:36:56,615 --> 00:37:00,383 the law of gravity still applies. 673 00:37:00,385 --> 00:37:02,519 LIVIO: You know, Newton wrote these laws 674 00:37:02,521 --> 00:37:04,254 of gravity and of motion 675 00:37:04,256 --> 00:37:07,657 based on things happening on Earth, 676 00:37:07,659 --> 00:37:09,859 and the planets in the solar system and so on, 677 00:37:09,861 --> 00:37:13,263 but these same laws, these very same laws 678 00:37:13,265 --> 00:37:16,032 apply to all these distant galaxies 679 00:37:16,034 --> 00:37:17,901 and, you know, shape them, 680 00:37:17,903 --> 00:37:21,137 and everything about them-- how they form, how they move-- 681 00:37:21,139 --> 00:37:25,642 is controlled by those same mathematical laws. 682 00:37:25,644 --> 00:37:29,813 NARRATOR: Some of the world's greatest minds have been amazed 683 00:37:29,815 --> 00:37:33,984 by the way that math permeates the universe. 684 00:37:33,986 --> 00:37:35,885 LIVIO: Albert Einstein, he wondered, 685 00:37:35,887 --> 00:37:39,756 he said, "How is it possible that mathematics," 686 00:37:39,758 --> 00:37:43,326 which is, he thought, a product of human thought, 687 00:37:43,328 --> 00:37:47,530 "Does so well in explaining the universe as we see it?" 688 00:37:47,532 --> 00:37:51,134 And Nobel laureate in physics Eugene Wigner 689 00:37:51,136 --> 00:37:52,736 coined this phrase: 690 00:37:52,738 --> 00:37:55,872 "The unreasonable effectiveness of mathematics." 691 00:37:55,874 --> 00:37:58,341 He said the fact that mathematics 692 00:37:58,343 --> 00:38:01,378 can really describe the universe so well, 693 00:38:01,380 --> 00:38:03,546 in particular physical laws, 694 00:38:03,548 --> 00:38:08,518 is a gift that we neither understand nor deserve. 695 00:38:08,520 --> 00:38:11,154 NARRATOR: In physics, 696 00:38:11,156 --> 00:38:15,492 examples of that "unreasonable effectiveness" abound. 697 00:38:17,328 --> 00:38:19,329 When nearly 200 years ago 698 00:38:19,331 --> 00:38:22,065 the planet Uranus was seen to go off track, 699 00:38:22,067 --> 00:38:24,734 scientists trusted the math 700 00:38:24,736 --> 00:38:29,606 and calculated it was being pulled by another unseen planet. 701 00:38:32,410 --> 00:38:36,346 And so they discovered Neptune. 702 00:38:36,348 --> 00:38:38,782 Mathematics had accurately predicted 703 00:38:38,784 --> 00:38:42,018 a previously unknown planet. 704 00:38:42,020 --> 00:38:46,856 SAVAS DIMOPOULOS: If you formulate a question properly, 705 00:38:46,858 --> 00:38:49,592 mathematics gives you the answer. 706 00:38:49,594 --> 00:38:52,495 It's like having a servant 707 00:38:52,497 --> 00:38:55,832 that is far more capable than you are. 708 00:38:55,834 --> 00:38:57,834 So you tell it "Do this," 709 00:38:57,836 --> 00:39:01,004 and if you say it nicely, then it'll do it 710 00:39:01,006 --> 00:39:04,107 and it will carry you all the way to the truth, 711 00:39:04,109 --> 00:39:06,643 to the final answer. 712 00:39:06,645 --> 00:39:09,045 RADIO HOST: WGBH, 89.7. 713 00:39:09,047 --> 00:39:12,916 NARRATOR: Evidence of the amazing predictive power of mathematics 714 00:39:12,918 --> 00:39:15,485 can be found all around us. 715 00:39:15,487 --> 00:39:18,455 I heard it took five Elvises to pull them apart. 716 00:39:18,457 --> 00:39:24,627 NARRATOR: Television, radio, your cell phone, satellites, 717 00:39:24,629 --> 00:39:31,668 the baby monitor, Wi-Fi, your garage door opener, GPS, 718 00:39:31,670 --> 00:39:34,471 and yes, even maybe your TV's remote. 719 00:39:34,473 --> 00:39:38,708 All of these use invisible waves of energy to communicate, 720 00:39:38,710 --> 00:39:41,444 and no one even knew they existed 721 00:39:41,446 --> 00:39:43,980 until the work of James Maxwell, 722 00:39:43,982 --> 00:39:47,684 a Scottish mathematical physicist. 723 00:39:47,686 --> 00:39:52,389 In the 1860s, he published a set of equations 724 00:39:52,391 --> 00:39:56,393 that explained how electricity and magnetism were related-- 725 00:39:56,395 --> 00:40:01,431 how each could generate the other. 726 00:40:01,433 --> 00:40:05,101 The equations also made a startling prediction. 727 00:40:07,405 --> 00:40:09,773 Together, electricity and magnetism 728 00:40:09,775 --> 00:40:12,008 could produce waves of energy 729 00:40:12,010 --> 00:40:16,413 that would travel through space at the speed of light: 730 00:40:16,415 --> 00:40:19,849 electromagnetic waves. 731 00:40:19,851 --> 00:40:21,584 ROGER PENROSE: Maxwell's theory gave us 732 00:40:21,586 --> 00:40:24,754 these radio waves, X-rays, 733 00:40:24,756 --> 00:40:27,657 these things which were simply not known about at all. 734 00:40:27,659 --> 00:40:31,094 So the theory had a scope, which was extraordinary. 735 00:40:34,064 --> 00:40:37,333 NARRATOR: Almost immediately, people set out to find the waves 736 00:40:37,335 --> 00:40:40,770 predicted by Maxwell's equations. 737 00:40:40,772 --> 00:40:42,972 What must have seemed the least promising attempt 738 00:40:42,974 --> 00:40:46,109 to harness them is made here, in northern Italy, 739 00:40:46,111 --> 00:40:48,745 in the attic of a family home 740 00:40:48,747 --> 00:40:52,215 by 20-year-old Guglielmo Marconi. 741 00:40:52,217 --> 00:40:56,386 His process starts with a series of sparks. 742 00:40:56,388 --> 00:41:00,256 (buzzing) 743 00:41:00,258 --> 00:41:04,427 The burst of electricity creates a momentary magnetic field, 744 00:41:04,429 --> 00:41:08,331 which in turn generates a momentary electric field, 745 00:41:08,333 --> 00:41:11,367 which creates another magnetic field. 746 00:41:11,369 --> 00:41:13,670 The energy cycles between the two, 747 00:41:13,672 --> 00:41:16,739 propagating an electromagnetic wave. 748 00:41:16,741 --> 00:41:19,943 (buzzing) 749 00:41:19,945 --> 00:41:23,813 Marconi gets his system to work inside, 750 00:41:23,815 --> 00:41:27,317 but then he scales up. 751 00:41:30,588 --> 00:41:34,591 Over a few weeks, he builds a big antenna beside the house 752 00:41:34,593 --> 00:41:38,394 to amplify the waves coming from his spark generator. 753 00:41:38,396 --> 00:41:42,966 Then he asks his brother and an assistant 754 00:41:42,968 --> 00:41:45,969 to carry a receiver across the estate 755 00:41:45,971 --> 00:41:48,104 to the far side of a nearby hill. 756 00:41:48,106 --> 00:41:49,973 They also have a shotgun, 757 00:41:49,975 --> 00:41:53,276 which they will fire if they manage to pick up the signal. 758 00:41:58,048 --> 00:42:00,149 (buzzing) 759 00:42:04,655 --> 00:42:08,157 (buzzing) 760 00:42:08,159 --> 00:42:10,493 (gunshot) 761 00:42:10,495 --> 00:42:11,995 And it works. 762 00:42:11,997 --> 00:42:13,796 The signal has been detected 763 00:42:13,798 --> 00:42:17,867 even though the receiver is now hidden behind a hill. 764 00:42:17,869 --> 00:42:19,669 At over a mile, 765 00:42:19,671 --> 00:42:22,739 it is the farthest transmission to date. 766 00:42:22,741 --> 00:42:25,575 In fewer than ten years, 767 00:42:25,577 --> 00:42:30,146 Marconi will be sending radio signals across the Atlantic. 768 00:42:30,148 --> 00:42:34,851 In fact, when the Titanic sinks in 1912, 769 00:42:34,853 --> 00:42:39,155 he'll be personally credited with saving many lives 770 00:42:39,157 --> 00:42:42,492 because his onboard equipment allowed the distress signal 771 00:42:42,494 --> 00:42:46,195 to be transmitted. 772 00:42:46,197 --> 00:42:50,300 Thanks to the predictions of Maxwell's equations, 773 00:42:50,302 --> 00:42:54,203 Marconi could harness a hidden part of our world, 774 00:42:54,205 --> 00:42:58,274 ushering in the era of wireless communication. 775 00:42:58,276 --> 00:43:01,210 (voices on radio overlapping) 776 00:43:03,147 --> 00:43:06,883 Since Maxwell and Marconi, 777 00:43:06,885 --> 00:43:10,920 evidence of the predictive power of mathematics has only grown, 778 00:43:10,922 --> 00:43:14,557 especially in the world of physics. 779 00:43:14,559 --> 00:43:19,395 100 years ago, we barely knew atoms existed. 780 00:43:19,397 --> 00:43:22,298 It took experiments to reveal their components: 781 00:43:22,300 --> 00:43:26,069 the electron, the proton, and the neutron. 782 00:43:26,071 --> 00:43:28,538 But when physicists wanted to go deeper, 783 00:43:28,540 --> 00:43:31,574 mathematics began to lead the way, 784 00:43:31,576 --> 00:43:35,979 ultimately revealing a zoo of elementary particles, 785 00:43:35,981 --> 00:43:41,250 discoveries that continue to this day here at CERN, 786 00:43:41,252 --> 00:43:44,454 the European organization for nuclear research 787 00:43:44,456 --> 00:43:46,356 in Geneva, Switzerland. 788 00:43:46,358 --> 00:43:51,194 These days, they're most famous for their Large Hadron Collider, 789 00:43:51,196 --> 00:43:55,999 a circular particle accelerator about 17 miles around, 790 00:43:56,001 --> 00:43:59,469 built deep underground. 791 00:44:01,672 --> 00:44:05,575 This $10 billion project, decades in the making, 792 00:44:05,577 --> 00:44:09,212 had a well-publicized goal: the search 793 00:44:09,214 --> 00:44:12,749 for one of the most fundamental building blocks of the universe. 794 00:44:15,519 --> 00:44:17,253 A subatomic particle 795 00:44:17,255 --> 00:44:22,025 mathematically predicted to exist nearly 50 years earlier 796 00:44:22,027 --> 00:44:26,696 by Robert Brout and Francois Englert working in Belgium 797 00:44:26,698 --> 00:44:29,499 and Peter Higgs in Scotland. 798 00:44:29,501 --> 00:44:32,568 TEGMARK: Peter Higgs sat down 799 00:44:32,570 --> 00:44:34,404 with the most advanced physics equations we had 800 00:44:34,406 --> 00:44:35,738 and calculated and calculated 801 00:44:35,740 --> 00:44:37,874 and made this audacious prediction: 802 00:44:37,876 --> 00:44:40,043 if we built the most sophisticated machines 803 00:44:40,045 --> 00:44:41,377 humans have ever built 804 00:44:41,379 --> 00:44:43,246 and used it to smash particles together 805 00:44:43,248 --> 00:44:45,081 near the speed of light in a certain way 806 00:44:45,083 --> 00:44:46,983 that we would then discover a new particle. 807 00:44:46,985 --> 00:44:49,819 You know, if this math was really accurate. 808 00:44:49,821 --> 00:44:52,588 NARRATOR: The discovery of the Higgs particle 809 00:44:52,590 --> 00:44:55,324 would be proof of the Higgs field, 810 00:44:55,326 --> 00:45:00,029 a cosmic molasses that gives the stuff of our world mass-- 811 00:45:00,031 --> 00:45:04,934 what we usually experience as weight. 812 00:45:04,936 --> 00:45:08,571 Without mass, everything would travel at the speed of light 813 00:45:08,573 --> 00:45:11,908 and would never combine to form atoms. 814 00:45:11,910 --> 00:45:13,910 That makes the Higgs field 815 00:45:13,912 --> 00:45:16,579 such a fundamental part of physics 816 00:45:16,581 --> 00:45:19,282 that the Higgs particle gained the nickname 817 00:45:19,284 --> 00:45:21,818 "The God Particle." 818 00:45:23,554 --> 00:45:25,288 (cheering) 819 00:45:25,290 --> 00:45:27,590 In 2012, experiments at CERN 820 00:45:27,592 --> 00:45:30,927 confirmed the existence of the Higgs particle, 821 00:45:30,929 --> 00:45:33,196 making the work of Peter Higgs 822 00:45:33,198 --> 00:45:35,364 and his colleagues decades earlier 823 00:45:35,366 --> 00:45:39,902 one of the greatest predictions ever made. 824 00:45:39,904 --> 00:45:42,171 And we built it and it worked, 825 00:45:42,173 --> 00:45:44,674 and he got a free trip to Stockholm. 826 00:45:48,145 --> 00:45:50,680 (applause) 827 00:45:55,719 --> 00:45:58,554 LIVIO: Here, you have mathematical theories 828 00:45:58,556 --> 00:46:02,558 which make very definitive predictions 829 00:46:02,560 --> 00:46:04,994 about the possible existence 830 00:46:04,996 --> 00:46:07,663 of some fundamental particles of nature, 831 00:46:07,665 --> 00:46:11,667 and believe it or not, they make these huge experiments 832 00:46:11,669 --> 00:46:15,271 and they actually discover the particles 833 00:46:15,273 --> 00:46:17,006 that have been predicted mathematically. 834 00:46:17,008 --> 00:46:19,675 I mean, this is just amazing to me. 835 00:46:21,812 --> 00:46:24,080 ANDREW LANKFORD: Why does this work? 836 00:46:24,082 --> 00:46:27,316 How can mathematics be so powerful? 837 00:46:27,318 --> 00:46:31,053 Is mathematics, you know, a truth of nature, 838 00:46:31,055 --> 00:46:32,989 or does it have something to do 839 00:46:32,991 --> 00:46:36,025 with the way we as humans perceive nature? 840 00:46:36,027 --> 00:46:39,128 To me, this is just a fascinating puzzle. 841 00:46:39,130 --> 00:46:40,897 I don't know the answer. 842 00:46:43,300 --> 00:46:47,136 NARRATOR: In physics, mathematics has had a long string of successes. 843 00:46:47,138 --> 00:46:51,207 But is it really "unreasonably effective"? 844 00:46:51,209 --> 00:46:53,776 Not everyone thinks so. 845 00:46:53,778 --> 00:46:55,344 I think it's an illusion, 846 00:46:55,346 --> 00:46:57,180 because I think what's happened 847 00:46:57,182 --> 00:47:01,117 is that people have chosen to build physics, for example, 848 00:47:01,119 --> 00:47:03,719 using the mathematics that has been practiced, 849 00:47:03,721 --> 00:47:05,188 has developed historically, 850 00:47:05,190 --> 00:47:07,990 and then they're looking at everything, 851 00:47:07,992 --> 00:47:10,726 they're choosing to study things which are amenable to study 852 00:47:10,728 --> 00:47:13,329 using the mathematics that happens to have arisen. 853 00:47:13,331 --> 00:47:16,732 But actually, there is a whole vast ocean of other things 854 00:47:16,734 --> 00:47:20,002 that are really quite inaccessible to those methods. 855 00:47:20,004 --> 00:47:23,940 NARRATOR: With the success of mathematical models in physics, 856 00:47:23,942 --> 00:47:27,777 it's easy to overlook where they don't work that well. 857 00:47:27,779 --> 00:47:30,580 Like in weather forecasting. 858 00:47:30,582 --> 00:47:33,082 There's a reason meteorologists predict the weather 859 00:47:33,084 --> 00:47:34,917 for the coming week, 860 00:47:34,919 --> 00:47:37,286 but not much further out than that. 861 00:47:37,288 --> 00:47:42,491 In a longer forecast, small errors grow into big ones. 862 00:47:42,493 --> 00:47:46,195 Daily weather is just too complex and chaotic 863 00:47:46,197 --> 00:47:48,731 for precise modeling. 864 00:47:48,733 --> 00:47:50,166 And it's not alone. 865 00:47:50,168 --> 00:47:54,937 So is the behavior of water boiling on a stove, 866 00:47:54,939 --> 00:47:58,040 or the stock market, 867 00:47:58,042 --> 00:48:01,911 or the interaction of neurons in the brain, 868 00:48:01,913 --> 00:48:04,080 much of human psychology, 869 00:48:04,082 --> 00:48:06,449 and parts of biology. 870 00:48:06,451 --> 00:48:08,317 DEREK ABBOTT: Biological systems, 871 00:48:08,319 --> 00:48:10,286 economic systems, 872 00:48:10,288 --> 00:48:13,256 it gets very difficult to model those systems with math. 873 00:48:13,258 --> 00:48:15,725 We have extreme difficulty with that. 874 00:48:15,727 --> 00:48:20,396 So I do not see math as unreasonably effective. 875 00:48:20,398 --> 00:48:23,866 I see it as reasonably ineffective. 876 00:48:26,937 --> 00:48:30,039 NARRATOR: Perhaps no one is as keenly aware 877 00:48:30,041 --> 00:48:32,575 of the power and limitations of mathematics 878 00:48:32,577 --> 00:48:35,778 as those who use it to design and make things: 879 00:48:35,780 --> 00:48:37,046 engineers. 880 00:48:37,048 --> 00:48:38,814 Look at that wheel! 881 00:48:38,816 --> 00:48:42,318 NARRATOR: In their work, the elegance of math 882 00:48:42,320 --> 00:48:48,658 meets the messiness of reality, and practicality rules the day. 883 00:48:48,660 --> 00:48:51,227 Mathematics and perhaps mathematicians 884 00:48:51,229 --> 00:48:53,629 deal in the domain of the absolute, 885 00:48:53,631 --> 00:48:58,434 and engineers live in the domain of the approximate. 886 00:48:58,436 --> 00:49:03,406 We are fundamentally interested in the practical. 887 00:49:03,408 --> 00:49:06,575 And so frequently, we make approximations, we cut corners. 888 00:49:06,577 --> 00:49:08,110 We omit terms and equations 889 00:49:08,112 --> 00:49:11,347 to get things that are simple enough 890 00:49:11,349 --> 00:49:14,016 to suit our purposes and to meet our needs. 891 00:49:17,621 --> 00:49:20,556 NARRATOR: Many of our greatest engineering achievements 892 00:49:20,558 --> 00:49:23,025 were built using mathematical shortcuts: 893 00:49:23,027 --> 00:49:27,263 simplified equations that approximate an answer, 894 00:49:27,265 --> 00:49:30,733 trading some precision for practicality. 895 00:49:30,735 --> 00:49:35,671 And for engineers, "approximate" is close enough. 896 00:49:35,673 --> 00:49:38,941 Close enough to take you to Mars. 897 00:49:40,911 --> 00:49:42,445 STELTZNER: For us engineers, 898 00:49:42,447 --> 00:49:44,113 we don't get paid to do things right; 899 00:49:44,115 --> 00:49:48,117 we get paid to do things just right enough. 900 00:49:50,887 --> 00:49:53,856 NARRATOR: Many physicists see an uncanny accuracy 901 00:49:53,858 --> 00:49:55,524 in the way mathematics can reveal 902 00:49:55,526 --> 00:49:57,927 the secrets of the universe, 903 00:49:57,929 --> 00:50:04,867 making it seem to be an inherent part of nature. 904 00:50:04,869 --> 00:50:09,538 Meanwhile, engineers in practice have to sacrifice 905 00:50:09,540 --> 00:50:12,708 the precision of mathematics to keep it useful, 906 00:50:12,710 --> 00:50:16,879 making it seem more like an imperfect tool 907 00:50:16,881 --> 00:50:19,515 of our own invention. 908 00:50:19,517 --> 00:50:22,518 So which is mathematics? 909 00:50:22,520 --> 00:50:26,122 A discovered part of the universe? 910 00:50:26,124 --> 00:50:29,358 Or a very human invention? 911 00:50:29,360 --> 00:50:33,929 Maybe it's both. 912 00:50:36,600 --> 00:50:39,068 LIVIO: What I think about mathematics 913 00:50:39,070 --> 00:50:42,038 is that it is an intricate combination 914 00:50:42,040 --> 00:50:44,874 of inventions and discoveries. 915 00:50:44,876 --> 00:50:47,410 So for example, take something like natural numbers: 916 00:50:47,412 --> 00:50:50,346 one, two, three, four, five, etcetera. 917 00:50:50,348 --> 00:50:52,114 I think what happened 918 00:50:52,116 --> 00:50:54,216 was that people were looking at many things, for example, 919 00:50:54,218 --> 00:50:57,253 and seeing that there are two eyes, you know, 920 00:50:57,255 --> 00:51:00,056 two breasts, two hands, you know, and so on. 921 00:51:00,058 --> 00:51:02,191 And after some time, 922 00:51:02,193 --> 00:51:05,561 they abstracted from all of that the number two. 923 00:51:07,297 --> 00:51:11,067 NARRATOR: According to Mario, "two" became an invented concept, 924 00:51:11,069 --> 00:51:14,804 as did all the other natural numbers. 925 00:51:14,806 --> 00:51:17,306 But then people discovered that these numbers 926 00:51:17,308 --> 00:51:20,276 have all kinds of intricate relationships. 927 00:51:20,278 --> 00:51:23,779 Those were discoveries. 928 00:51:23,781 --> 00:51:27,550 We invented the concept, but then discovered 929 00:51:27,552 --> 00:51:30,252 the relations among the different concepts. 930 00:51:30,254 --> 00:51:33,756 NARRATOR: So is this the answer? 931 00:51:33,758 --> 00:51:37,760 That math is both invented and discovered? 932 00:51:37,762 --> 00:51:39,595 This is one of those questions where it's both. 933 00:51:39,597 --> 00:51:42,398 Yes, it feels like it's already there, 934 00:51:42,400 --> 00:51:44,700 but yes, it's something that comes out of our deep, 935 00:51:44,702 --> 00:51:47,269 creative nature as human beings. 936 00:51:47,271 --> 00:51:50,940 NARRATOR: We may have some idea to how all this works, 937 00:51:50,942 --> 00:51:53,843 but not the complete answer. 938 00:51:53,845 --> 00:51:59,081 In the end, it remains "The Great Math Mystery." 939 00:52:22,606 --> 00:52:26,475 This NOVA program is available on DVD. Major funding for NOVA is provided by the following: 940 00:52:26,477 --> 00:52:32,348 To order, visit shopPBS.org or call 1-800-PLAY-PBS. 941 00:52:32,350 --> 00:52:34,216 NOVA is also available for download on iTunes. 78489

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