Ramanujan mentioned in Good Will Hunting

Srinivasa Ramanujan Srinivasa Ramanujan was one of India’s greatest mathematical geniuses. He made substantial contributions to the analytical theory of numbers and worked on elliptic functions, continued fractions, and infinite series. He was a poor and sickly Hindu Brahmin from the Tamil Nadu state of south India, who was not lucky to have any fancy degrees. But he was a math wizard and numbers were his toys. His genius was spotted by Hardy, another of the species from England. And the association brought the genius to the eyes of the world through Cambridge.

Math wizard Ramanujan’s pioneering work is the embryo from which the present day digital world has spawned itself!

In the 1997 film, “Good Will Hunting” about another math genius portrayed by Matt Damon (as Will Hunting) who was an autodidact and a recluse , a mention about Ramanujan had been made by Prof. Gerald Lambeau (Stellan Skarsgard) in a very appropriately fitting context. Here is the video clipping showing that episode:-

(Please keep maximum volume since the audio is not loud enough, sorry!)

Ramanujan, talked in a Hollywood movie

Here is an anecdote about the Famous “Ramanujam-Hardy Number” – 1729 in the words of Hardy himself:

I remember once going to see him when he was ill at Putney. I had ridden in taxi cab number 1729 and remarked that the number seemed to me rather a dull one, and that I hoped it was not an unfavorable omen.

“No,” he replied, “it is a very interesting number; it is the smallest number expressible as the sum of two [positive] cubes in two different ways.”

(1729 = 13 +123 = 93 + 103)

A book on the genius has been published with the title, The Man Who Knew Infinity: A Life of the Genius Ramanujan about which one person has written the following review:

This biography traces the life of one of the greatest geniuses of the 20th century, Ramanujan. This incredibly brilliant Indian mathematician, working alone in relative obscurity and lacking the usual academic credentials, could easily have passed unnoticed. However, with the help of a handful of friends and the ultimate support of renowned English mathematician G.H. Hardy, his work was brought to the attention of the world. When he died in 1920 at 32 he had become a folk-hero in his own country. He left a rich lode of original mathematics, which is still being mined today. This extremely well-researched and well-written biography is a “must” addition to any library collection.
~ Harold D. Shane, Baruch Coll., CUNY

Further info:

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7 thoughts on “Ramanujan mentioned in Good Will Hunting

  1. M.Lakshmanan

    Extremely sad… What a great man to die early! God must be crazy!! I am one of those ardent fans of his mathematical skills. I am poor in maths.I wish to be born Ramanujam in next birth!!
    His slave-Lakshmanan.

  2. Pingback: Good Will Hunting

  3. scott

    Well!!Ironically in tht same GWH movie, Robbie Willams(Sean) also mentions about a different kind of great mathematician who’s notoriously named as “Unabomber” cos he bomb Universities and Airlines in US. check the wiki: http://en.wikipedia.org/wiki/Unabomber

    He’s Theodore Kaczynski and I must say tht u gotta check tht scene in that movie wherein Lambeau and Sean discuss about Einstein and Kaczynski. A great culmination of view and counter-view.

    So great talent is like a double-edged sword.

  4. mahesh

    i just finished watchin the movie ‘good will hunting’ & was looking for more info on Prof. Gerald Lambeau’s remarks to Robin Williams about the ‘indian’ genius & first google search landed me here & i am so pleased to read this article. pls post more about this genius

  5. S.K Post author

    Thanks all for sharing your views. Each one has provided additional insight into the enigma of genius!

    I’ll try to bring in more information about Ramanujan and possibly about other little-known geniuses.

    S.K

  6. harshavardhan

    i think he is in top four mathematician of the world. But politeness of him was rewmarkable.

  7. David A Collins

    Hi CyberBrahma   RE: Hardy-Ramanujan Taxi No.                                          
    EUREKA! a new Algorithm Uniting the Physics Constants and establishes values to at least nine decimal places from Leibniz’s Yin-Yang Tao Mathematics rebooted !
     These values match and often improve CODATA values.
    The Constants values are shown by an algorithm of Number 362880 in Harmonic Matrix Equations. This Simple Fractal Harmonic Decimal Remainder Algorithm of Factorial 9! and The Constants, resulting in Whole Number, is Evidence of Harmonic Unity in Natures Constants.
    Factorial 9! or 362880 Matrix Algorithm Whole Number Harmonics
     of the Physics Constants                                                                                                                                                                                                                                
                         This Simple Fractal Harmonic Algorithm Evidence shows                                                 
                       Einstein’s and Hawking’s etc. Elusive Theory of Everything
                        This Constants Algorithm of TOE Unified Field Upgrades
                         the Quantum Standard Model of Quantum Particle Physics
                           and unites The Standard Model with Quantum Gravity
    I have found the algorithm that eluded Eddington (who was the first to prove
    Einstein’s Theory of Relativity) and it has opened a world of wonderful correlations.
    Fractal Harmonic Constants emerged from One source the Factorial 9! and resonate,
    connecting all? Natures Constants. The Matrix9! Constants include Standard Model of Quantum Particle Physics – upgraded and that now includes Quantum Gravity, Mandelbrot Fractal Harmonics and much more in this Matrix9! quantum-cosmological theory.

    New big data algorithm is Scientific Evidence of Chinese Yin & Yang Binary Quantum Universe

    New Scientific Equation Evidence of the Chinese Yin & Yang shows the Universe is Quantized.
    This Remainder Theorem Equation Method of Physics Constant’s correlate with 9! factorial
    362880 this I Ching Mathematical 9! Constant is the keycode Fractal Harmonic that unites with
    The Quantum Standard Model Experimental and CERN CODATA & WIKI values
    examples are
                                  Matrix9! 362880/125.36 Higgs Constant
    362880/125.36 = 2894.703254626675
    2894.703254626675/.703254626675 = 4116.152450091771
    4116.152450091771/.152450091771 = 27000.0000 M9! Higgs Field M-F  S-T C.
                       Matrix9! 362880/6.67 Newton Gravity Constant
    362880/6.67 = 54404.7976011994
    54404.7976011994/.7976011994 = 68210.52631581512
    68210.52631581512/.52631581512 = 129600.00 M9! Newton Q-Gravity Constant

    129600/600 = 216 Sun-Moon I Ching Constant
    216/6 = 36
    36/6 = 6 The smallest Perfect Number I Ching Constant

    Quantum Mechanics Clock QMC Time 135.125 x10-43
    Department of Mathematical Sciences University of Tokyo – net

    Matrix9! 362880/135.125 M9! Q-Planck Time Constant
    362880/135.125 = 2685.513413506013
    2685.513413506013/.513413506013 = 5230.70270270207
    5230.70270270270270/.70270270270270 = 7443.692307692337 7443.692307692337/.692307692337 = 10752.000000 M9! Quantum Planck Time C.

    362880/10752 = 33.75
    33.75/.75 = 45
    45/5 = 9 Matrix9! Constant

    M9! Quantum Planck Time Constant 10752/9 Matrix9! Constant
    10752/9 = 1194.6666666666666
    1194.666666666666/.6666666666666 = 1792.0000000 Hardy-Ramanujan Taxi No.

    M9! Q-G P-length C. 224520/1792 Hardy-Ramanujan Taxi No.
    224520/1792 = 125.29017857142856
    125.29017857142856/.29017857142856 = 431.76923076924766 431.76923076924766/.76923076924766 = 561.3000000000
    561.3/.3 = 1871 M9! Quantum Gravity Planck length Constant

    M9! Q-Gravity Planck length Constant 1871/1.35125 M9! Q-Planck Time Constant
    1871/1.35125 = 1384.6438482886215
    1384.6438482886215/.6438482886215 = 2150.5747126441674 2150.5747126441674/.5747126441674 = 3742.0000000000
    3742/2 = 1871 M9! Quantum Gravity Planck length Constant

    M9! Q-Gravity Planck length Constant 224520/20
    224520/20 = 11226
    11226/6 = 1871 M9! Quantum Gravity Planck length Constant

    M9! Q-Planck length C. 224520/1871 M9! Q-Planck Length C.
    224520/1871 = 120
                                       Planck length 1.61624 × 10-35 m –
       Matrix9! Quantum-Planck length 1.61624799572421 × 10-35 m

                         Matrix9! 362880/1.6162479957242
    362880/1.61624799572421 = 224520.000000000             
    224520/20 = 11226
    11226/6 = 1871 M9! Quantum Gravity Planck length Constant
                               
                    M9! P-Length 1.61624799572421 = 2.585996793158735 nm
    M9! 362880/2.585996793158735 Planck Length-Nanometer
    362880/2.585996793158735 = 140325.000000 M9! Planck Length-Nanometer C.

    140325/25 = 5613.00000000000
    5613/3 = 1871.00000000000 M9! Higgs-Planck Length Constant

                            1.274 MeV/c2 M9! Charm Quark
      Matrix9! 362880/1.274 M9! Charm Quark Constant
    362880/1.274 = 284835.16483516485
    284835.16483516485/.16483516485 = 1728000.0000000

                    Matrix9! 362880/172 M9! Top Quark Constant
    362880/172 = 2109.767441860465
    2109.767441860465/.767441860465 = 2749.090909090909
    2749.09090909090909/.09090909090909 = 30240.000000000

                 Matrix9! 362880/137.036 Fine Structure Constant
    362880/137.036 = 2648.063282641058
    2648.063282641058/.063282641058 = 41845.0184501?
    41845.0184501845/.018450184501845 = 2268000.0000000 M9! Constant
    2268000/8000 = 283.5
    283.5/.5 = 567

    2268000/567 = 4000

             Matrix9! 362880/1.50659133709981 Mandelbrot Fractal Constant
                         800/531 = 1.50659133709981
    362880/1.50659133709981 = 240861.600000000
    240861.6/.6 = 401436.000000000
    401436/6 = 66906.0000000000
    66906/6 = 11151.00000000000
    11151/531 = 21 Matrix9! Constant 
    81/9 = 9 Matrix9! Constant

    many more  https://we.tl/jkNTjKlA59

    Thanks Dave

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