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Large deviations of Markov processes Part - 1
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Outline
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Process
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Example
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Reversibility
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Non-hermitian operators
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Differential operator
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Eigen problem
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Dynamical observables
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Examples
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Large deviation theory
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Gartner Ellis Theorem
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Functional Penon-Frobenius
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Feynman - Kac
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Spectral problem
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Q&A
Description:
Explore a comprehensive lecture on large deviations of Markov processes in this 1 hour 38 minute video from the International Centre for Theoretical Sciences. Delve into key concepts including process examples, reversibility, non-hermitian operators, differential operators, and eigen problems. Examine dynamical observables and their examples before diving into large deviation theory, the Gartner Ellis Theorem, and functional Perron-Frobenius. Conclude with discussions on Feynman-Kac formalism and spectral problems, followed by a Q&A session. Gain insights into advanced topics in statistical physics and probability theory through this in-depth presentation by Hugo Touchette, part of a broader program on large deviation theory and its applications in physics and mathematics.

Large Deviations of Markov Processes - Part 1

International Centre for Theoretical Sciences
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