Markov processes

Kolmogorov's criterion

In probability theory, Kolmogorov's criterion, named after Andrey Kolmogorov, is a theorem giving a necessary and sufficient condition for a Markov chain or continuous-time Markov chain to be stochastically identical to its time-reversed version. (Wikipedia).

Kolmogorov's criterion
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Kolmogorov Complexity - Applied Cryptography

This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.

From playlist Applied Cryptography

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Kolmogorov width of discrete linear spaces: an approach to matrix rigidity - Sergey Yekhanin

Sergey Yekhanin Microsoft Research March 31, 2015 A square matrix VV is called rigid if every matrix obtained by altering a small number of entries of VV has sufficiently high rank. While random matrices are rigid with high probability, no explicit constructions of rigid matrices are know

From playlist Mathematics

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Amir Ali Ahmadi, Princeton University

January 31, Amir Ali Ahmadi, Princeton University Two Problems at the Interface of Optimization and Dynamical Systems We propose and/or analyze semidefinite programming-based algorithms for two problems at the interface of optimization and dynamical systems: In part (i), we study the po

From playlist Spring 2020 Kolchin Seminar in Differential Algebra

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Sergei Konyagin: On sum sets of sets having small product set

Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b

From playlist Combinatorics

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Unpredictability - Applied Cryptography

This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.

From playlist Applied Cryptography

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Bunchwise Balance and Irreducible Sequences in the Light-Heavy... by Kabir Ramola (TIFR,Hyderabad)

DISCUSSION MEETING STATISTICAL PHYSICS: RECENT ADVANCES AND FUTURE DIRECTIONS (ONLINE) ORGANIZERS: Sakuntala Chatterjee (SNBNCBS, Kolkata), Kavita Jain (JNCASR, Bangalore) and Tridib Sadhu (TIFR, Mumbai) DATE: 14 February 2022 to 15 February 2022 VENUE: Online In the past few dec

From playlist Statistical Physics: Recent advances and Future directions (ONLINE) 2022

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What is the max and min of a horizontal line on a closed interval

👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Maxim Kontsevich - An Update on Algebraic Hypergeometric Series

Algebraic hypergeometric series in one variable were classified in 1989 by F. Beukers and G. Heckman, in terms of finite complex reflection groups. Recently, K. Penson observed that one of such series is a generating series of a probability density with compact support, given again by an a

From playlist Combinatorics and Arithmetic for Physics: special days

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Alexander Bufetov: Determinantal point processes - Lecture 2

Abstract: Determinantal point processes arise in a wide range of problems in asymptotic combinatorics, representation theory and mathematical physics, especially the theory of random matrices. While our understanding of determinantal point processes has greatly advanced in the last 20 year

From playlist Probability and Statistics

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Does the EVT apply

👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Christophe Leuridan: Filtrations polyadiques, complémentabilité, maximalité

Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b

From playlist Probability and Statistics

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How to determine the absolute max min of a function on an open interval

👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Droplets in isotropic turbulence by Samriddhi Sankar Ray

Indian Statistical Physics Community Meeting 2018 DATE:16 February 2018 to 18 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community which is attended by scientists, postdoctoral fellows, and graduate s

From playlist Indian Statistical Physics Community Meeting 2018

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The Large-Scale Dynamics of Flows: Facts and Proofs from 1D Burgers to 3D Euler/NS by Uriel Frisch

Program Turbulence: Problems at the Interface of Mathematics and Physics (ONLINE) ORGANIZERS: Uriel Frisch (Observatoire de la CĂ´te d'Azur and CNRS, France), Konstantin Khanin (University of Toronto, Canada) and Rahul Pandit (Indian Institute of Science, Bengaluru) DATE: 07 December 202

From playlist Turbulence: Problems at The Interface of Mathematics and Physics (Online)

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The complicated relationship between droplets and vortices by Rama Govindarajan

Turbulence from Angstroms to light years DATE:20 January 2018 to 25 January 2018 VENUE:Ramanujan Lecture Hall, ICTS, Bangalore The study of turbulent fluid flow has always been of immense scientific appeal to engineers, physicists and mathematicians because it plays an important role acr

From playlist Turbulence from Angstroms to light years

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Shannon 100 - 27/10/2016 - Jean Louis DESSALLES

Information, simplicité et pertinence Jean-Louis Dessalles (Télécom ParisTech) Claude Shannon fonda la notion d’information sur l’idée de surprise, mesurée comme l’inverse de la probabilité (en bits). Sa définition a permis la révolution des télécommunications numériques. En revanche, l’

From playlist Shannon 100

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Turbulence Energy Spectrum by Jayanta K. Bhattacharjee

Program Turbulence: Problems at the Interface of Mathematics and Physics (ONLINE) ORGANIZERS: Uriel Frisch (Observatoire de la CĂ´te d'Azur and CNRS, France), Konstantin Khanin (University of Toronto, Canada) and Rahul Pandit (Indian Institute of Science, Bengaluru) DATE: 07 December 202

From playlist Turbulence: Problems at The Interface of Mathematics and Physics (Online)

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Crossovers in the Kolmogorov Spectrum of Turbulence by Jayanta K. Bhattacharjee

PROGRAM TURBULENCE: PROBLEMS AT THE INTERFACE OF MATHEMATICS AND PHYSICS ORGANIZERS Uriel Frisch (Observatoire de la CĂ´te d'Azur and CNRS, France), Konstantin Khanin (University of Toronto, Canada) and Rahul Pandit (IISc, India) DATE & TIME 16 January 2023 to 27 January 2023 VENUE Ramanuj

From playlist Turbulence: Problems at the Interface of Mathematics and Physics 2023

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Find the max and min of a linear function on the closed interval

👉 Learn how to find the extreme values of a function using the extreme value theorem. The extreme values of a function are the points/intervals where the graph is decreasing, increasing, or has an inflection point. A theorem which guarantees the existence of the maximum and minimum points

From playlist Extreme Value Theorem of Functions

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Status of experiments and simulations on scaling problems in turbulence - Katepalli Sreenivasan

Workshop on Turbulence Topic: Status of experiments and simulations on scaling problems in turbulence Speaker: Katepalli Sreenivasan Affiliation: New York University Date: December 11, 2020 For more video please visit http://video.ias.edu

From playlist Mathematics

Related pages

Stochastic matrix | Continuous-time Markov chain | Probability theory | Transition rate matrix | Andrey Kolmogorov | Markov chain | Theorem | Time reversibility