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Log-Sobolev Inequalities and Markov Semigroups
Last Updated: 2026-07-21 00:36:52
Abstract
Markov semigroups provide very general models and tools in the analysis of time evolution phenomena and dynamical systems.This course is a modern overview on probabilistic and geometric aspects of Markov semigroups and associated functional inequalities such as log-Sobolev inequalities.
Objective
This course focus on understanding a few topics centered around Markov semigroups and associated functional inequalities. The important topics to master include Markov semigroups, examples of Markov semigroups coming from stochastic differential equations, Poincare inequality, log-Sobolev inequality and isoperimetric inequality.
Content
The main content follows the book "Analysis and Geometry of Markov Diffusion Operators", Bakry, Gentil and Ledoux 2013
General Information
- Language
- English
- Levels
- DR , MSC
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- None
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Log-Sobolev Inequalities and Markov Semigroups
Tentatively scheduled for Monday 14-16.
|
No time listed | 2 h weekly |
Offered In
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Electives (For the Master's degree in Applied Mathematics the following additional condition (not manifest in myStudies) must be obeyed: At least 14 of the required 26 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields.)
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Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
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Doctorate Mathematics (More Information at: )
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Subject Specialisation (The list of courses eligible for doctoral students is published each semester in the newsletter of the ZGSM.)
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Graduate School (Official website of the Zurich Graduate School in Mathematics: )
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