Lesson 6 (5/5). Stochastic differential equations. Part 5

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  • Опубликовано: 19 ноя 2024
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Комментарии • 8

  • @pdc7482
    @pdc7482 Год назад +1

    Outstanding set of lectures on SDE

  • @lorarand
    @lorarand Год назад

    Thank you for the lecture series. Loved the combination of intuition and math. Amazing!

  • @garydejong8693
    @garydejong8693 2 года назад

    Very well done. You not only derive the equations, but explain the thought process involved in their development. Very helpful.

  • @adokoka
    @adokoka 2 года назад +3

    Thank you very much for the courses. I followed them part 1 to 5. It would be great if you could also post some lessons on PSDE :)

  • @shuyuehu273
    @shuyuehu273 2 года назад

    This lecture is very well organized and incredibly easy to follow. Thank you, professor!

  • @soundharyas2954
    @soundharyas2954 8 месяцев назад

    very interesting sir...Please post more problems and theorems

  • @jonathanspurgeon5461
    @jonathanspurgeon5461 4 месяца назад

    could you kindly explain how v = white noise at around 24:20. Thanks!

    • @juanmrparrondo1375
      @juanmrparrondo1375  4 месяца назад

      v= white noise results from applying the overdamped limit to the Langevin equation of a free particle. The position of a Brownian particle in the overdamped limit is the Wsiener process, and the velocity is the white noise. If you include inertia, then the velocity is an Orstein-Uhlenbeck process, which tends to white noise when the correlation time goers to zero.