A Gradient Flow Approach to Kinetic Equations
Offered By: Hausdorff Center for Mathematics via YouTube
Course Description
Overview
Syllabus
Intro
Contents
A current-density formulation of the heat equation
Variational characterization
Heat equation in probability space
Comments
Linear Boltzmann equations
Probabilistic interpretation
Boltzmann-Grad limit of the Lorentz gas
Rayleigh-Boltzmann equation
Linear phonon Boltzmann equation
A current-measure formulation of LBE
Assumptions
Existence ad uniqueness
Definition of LBE
Remarks
Empirical measure and current of N independent copies
Continuity equation
Large deviation principle
Microscopic model
The collision kernel
Large deviations (work in progress)
The rate functional
Entropy dissipation inequality
The Dirichlet integral and the the kinematic term
A gradient flow formulation
Taught by
Hausdorff Center for Mathematics
Related Courses
Probability - The Science of Uncertainty and DataMassachusetts Institute of Technology via edX Introduction to Probability, Statistics, and Random Processes
University of Massachusetts Amherst via Independent Bioinformatique : algorithmes et génomes
Inria (French Institute for Research in Computer Science and Automation) via France Université Numerique Algorithms for Big Data
Indian Institute of Technology Madras via Swayam Quantitative Model Checking
EIT Digital via Coursera