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Art of Insight in Science and Engineering Sanjoy Mahajan MIT EECS & Office of Digital Learning mit.edu/sanjoy/www/ sanjoy@mit.edu xTalk, MIT, 2 December 2014 I hope to foster insight and contribute to the commons Insight is hard to define


  1. Art of Insight in Science and Engineering Sanjoy Mahajan MIT EECS & Office of Digital Learning mit.edu/sanjoy/www/ sanjoy@mit.edu xTalk, MIT, 2 December 2014

  2. I hope to foster insight and contribute to the commons

  3. Insight is hard to define but easy to recognize You wonder whether your child is sick, and take her temperature. Raise your hand if the following temperature worries you:

  4. Insight is hard to define but easy to recognize You wonder whether your child is sick, and take her temperature. Raise your hand if the following temperature worries you: 40 โˆ˜ C

  5. Insight is hard to define but easy to recognize You wonder whether your child is sick, and take her temperature. Raise your hand if the following temperature worries you: 104 โˆ˜ F

  6. Insight is hard to define but easy to recognize 243 + 243 + 243 3 = ?

  7. Insight is hard to define but easy to recognize

  8. Insight is hard to define but easy to recognize ?

  9. Without insight, problem solving turns into a random walk

  10. Without insight, problem solving turns into a random walk

  11. The book offers readers a toolchest to foster insight to master complexity organize it discard it divide/conquer abstraction lossless lossy symmetry/ proportional dimensional lumping probability easy cases springs conservation reasoning analysis

  12. Here is an insight-based approach to a famous problem

  13. How much energy is released in this bomb blast?

  14. How much energy is released in this bomb blast?

  15. How much energy is released in this bomb blast?

  16. Here is a selection of the fireball data ๐‘ข (ms) ๐‘† (m) 3.26 59.0 4.61 67.3 15.0 106.5 62.0 185.0

  17. There is a famous, very complicated analysis Formation of a blast wave by a very intense explosion. I 161 The equation of motion is au au - p ay p ar at ar a a O1 for fi, Substituting from (1), (2) and (3) in (4) and writing fl, + R4( + Po = 0. (5) 27]R1?-B) R_ _-(31+ dt Po dR = AR-, This can be satisfied if (6) dt where A is a constant, and -A(-51 + 1) + ' +Pof = 0. (7) Po ? The equation of continuity is 2u\ ( ap ap a/u = 0. -+- a-+-+pu at ar \ar r/ Substituting from (1), (2), (3) and (6), (8) becomes - -A'+ i^ + I = 0. . Ak' ~k' 0 + 3 + *( St + =1 0 (9) (9) (b'0 The equation of state for a perfect gas is )(P -) = O. (10) (a+ ; where y is the ratio of specific heats. Substituting from (1), (2), (3) and (6), (10) becomes A (3fi+,f)+ '(-fl I( = 0. A+01)- (11) The equations (7), (9) and (11) may be reduced to a non-dimensional form by substituting f = fa2/A, (12) = 01/A, <0 (13) where a is the velocity of sound in air so that a2 = ypolpo. The resulting equations which contain only one parameter, namely, y, are lf' t 30 -( )=il -t ~(7a) ~,' 0_ '?2/ , /0'~+2 2(9a) 3E'^~~~~ f f 3 --lf 3f+ +f'+ (-+)-<=. (1a) Eliminating ?' from (1a) by means of (7a) and (9a) the equation for calculatingf' whenf, 0, ?, and I are given is f'{ )2 _f/If} = f{- 3 ?+0(3 + 1) - 2yq2/r}. (14) 11-2

  18. One route to insight is dimensional analysis to master complexity organize it discard it divide/conquer abstraction lossless lossy symmetry/ proportional dimensional lumping probability easy cases springs conservation reasoning analysis

  19. One route to insight is dimensional analysis ๐น ML 2 T โˆ’2 blast energy ๐‘† L blast radius ๐‘ข T time since blast ๐œ air ML โˆ’3 air density

  20. One route to insight is dimensional analysis ๐น ML 2 T โˆ’2 blast energy ๐‘† L blast radius ๐‘ข T time since blast ๐œ air ML โˆ’3 air density ๐œ air has dimensions of L 5 T โˆ’2 . โ†’ ๐น

  21. One route to insight is dimensional analysis ๐œ air ๐น๐‘ข 2 โ†’ has dimensions of L 5 T โˆ’2 . ๐œ air air density ML โˆ’3 time since blast ๐น T ๐‘ข blast radius L ๐‘† blast energy ML 2 T โˆ’2 โ†’ ๐น ๐œ air ๐‘† 5 is dimensionless .

  22. The dimensionless group makes a powerful prediction ๐น๐‘ข 2 ๐œ air ) 1/5 ๐‘ข 2/5 . ๐œ air ๐‘† 5 โˆผ 1 ๐‘† โˆผ ( ๐น

  23. But the result still feels like magic Dimensional analysis tells us what must be true, but not why.

  24. We can get the โ€œwhyโ€ insight from a physical model

  25. We can build the model using two of our tools to master complexity discard it organize it divide/conquer abstraction lossless lossy symmetry/ proportional dimensional lumping probability easy cases springs conservation reasoning analysis

  26. The model is based on the speed of the air molecules

  27. The model is based on the speed of the air molecules energy โˆผ mass ร— speed 2 . ๐น ๐œ air ๐‘† 3 . โ†’ speed โˆผ โˆš energy mass โˆผ โˆš R

  28. The speed leads us to the fireball size energy โˆผ mass ร— speed 2 . ๐น ๐œ air ๐‘† 3 . radius ๐‘† โˆผ speed ร— time ๐‘ข. ๐น โ†’ speed โˆผ โˆš energy mass โˆผ โˆš R radius ๐‘† โˆผ โˆš ๐œ air ๐‘† 3 ร— ๐‘ข.

  29. The two ways to represent the size connect the size and time to the blast energy energy โˆผ mass ร— speed 2 . ๐น ๐œ air ๐‘† 3 . radius ๐‘† โˆผ speed ร— time ๐‘ข. ๐น โ†’ ๐น๐‘ข 2 โ†’ speed โˆผ โˆš energy mass โˆผ โˆš R radius ๐‘† โˆผ โˆš ๐œ air ๐‘† 3 ร— ๐‘ข. ๐œ air ๐‘† 5 โˆผ 1.

  30. The scaling prediction fits the data on the fireball size ๐œ air ) 1/5 ๐‘ข 2/5 . ๐‘† โˆผ ( ๐น 185 R (m) 106.5 0.4 slope 67.3 59 t (ms) 3.26 4.61 15 62

  31. The scaling prediction gives an estimate for the blast energy ๐น โˆผ 7 ร—10 13 joules โ†’ ๐น โˆผ 18 kilotons of TNT.

  32. The estimate is more accurate than we can expect The classified value for the blast energy was 20 kilotons.

  33. Insight is more important than accuracy

  34. For almost 20 years, I wanted to publish under a free license

  35. This book draws from the commons in software compiling text to PDF ConTeXt, LuaTeX, TexGyre Pagella compiling figures to PDF Asymptote, MetaPost, Python editing source files GNU Emacs managing source files Mercurial managing compilations GNU Make underlying operating system GNU/Linux (Debian)

  36. Just this part of the commons is huge Roughly 20 million lines of code.

  37. A commons has three characteristics 1. resource that is easy to draw from but hard to exclude others from 2. people who want long-term access to the resource (โ€œcommonersโ€) 3. rules for managing the resource (George Caffentzis, โ€œRussell Scholar Lecture IV,โ€ 2008)

  38. For much of the software commons, the rules are the GNU General Public License (GPL)

  39. For this book, the rules are the Creative Commons license Creative Commons CC Attribution BY NonCommerical NC ShareAlike SA CC-BY-NC-SA: same license as OpenCourseWare

  40. The commons, a part of our infrastructure, is essential to public welfare Charter of the Forest (September 11, 1217): protection of rights to the commons โ‹ฎ Simon Patten (1852โ€“1922): importance of reducing economic rent (difference between price and necessary cost of production) โ‹ฎ free software, OpenCourseWare, MOOCs, โ€ฆ

  41. In 1815, Jefferson set us a riddle [My] peculiar character, too, is that no one possesses [me] the less, because every other possesses the whole of [me]. Who am I?

  42. Solution to the riddle: I am an idea Its peculiar character, too, is that no one possesses the less, because every other possesses the whole of it. He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening me. That ideas should freely spread from one to another over the globe, for the moral and mutual instruction of man, and improvement of his condition, seems to have been peculiarly and benevolently designed by nature[.]

  43. I hope to have fostered insight and contributed to the commons

  44. Art of Insight in Science and Engineering Sanjoy Mahajan MIT EECS & Office of Digital Learning mit.edu/sanjoy/www/ sanjoy@mit.edu xTalk, MIT, 2 December 2014 Slides produced using free software: GNU Emacs, GNU Make, LuaTEX, and ConTEXt (on Debian GNU/Linux)

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