Yakov Sinai - The Abel Prize interview 2014

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  • เผยแพร่เมื่อ 24 ก.ย. 2024

ความคิดเห็น • 5

  • @BlueSoulTiger
    @BlueSoulTiger 4 ปีที่แล้ว +12

    00:15 beginnings, family influences
    00:55 no Olympiad success
    02:00 mathematical talent
    02:30 schooling (WWII, USSR)
    04:20 teachers
    05:35 Moscow State University (Mekh mat)
    07:40 mathematics vs. mechanics
    08:52 Dynkin
    10:13 Kolmogorov
    10:35 Gel'fand
    12:31 Rokhlin, Abramov
    17:25 Dynamical systems
    18:03 Ergodic systems
    19:25 Chaos vs. Probability
    22:52 Entropy
    24:47 Billiards
    26:45 Ornstein's Isomorphism Thm
    28:10 Billiards in higher dimensions
    28:52 Markov partitions, Sinai-Bowen-Ruelle
    31:28 Wigner's Unreasonable Effectiveness
    33:50 Math. + Phys. = Cats & Dogs
    36:06 Gel'fand
    36:52 anti-Semitism in USSR
    43:49 Arnol'd
    46:40 good results can't be stolen
    48:35 the move to Princeton
    50:12 comparing education regimes
    50:50 what's not liked about USA system
    52:30 teaching; prefers teaching undergrads
    54:10 working in later years
    55:05 Kolmogorov
    59:15 style of problem-solving
    1:00:02 Poincare-style insights
    1:00:55 other interests

    • @DrRakeshKumarTripathi
      @DrRakeshKumarTripathi 4 ปีที่แล้ว +1

      Loved to listen and learn. The Mathematicians who ask d questions need to learn a lot that they should ask more queations to the awardee in which s/he pronounces less clearly.
      Regards

    • @kamilziemian995
      @kamilziemian995 3 ปีที่แล้ว +1

      Thank you for that list.

  • @arijitpyne9670
    @arijitpyne9670 8 วันที่ผ่านมา

    To the interviewers: please ask similar questions about internal politics to the able laureates from USA.

  • @Achrononmaster
    @Achrononmaster 2 หลายเดือนก่อน

    @33:00 English is also unreasonably effective in the sciences. The real question is why mathematics is _universally_ "unreasonably effective" in the sciences (English language is not). One decent response is to say there is no mathematical notion of "effective reasonability" so there is no scientific answer. Another is to point out numbers are basic in any measurement, and to use numbers imprecisely is going to be a bit useless. So you need to use numbers precisely to get effectiveness. And then you are by definition doing mathematics (by design and by choice). In which case the qualifier "unreasonable" goes away and you only have "effectiveness".