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Introduction to dynamical large deviations of Markov processes by Hugo Touchette in 2018

Video lectures

Large deviation theory in statistical physics: Recent advances and future challenges * https://www.youtube.com/playlist?list=PL04QVxpjcnjjs7dEO4LY%5FGZ48peTG1drT

I. Introduction

II. Markov processes

A. Stochastic differential equations

B. State distribution and generator

  • Fokker-Planck equation
  • Fokker-Planck generator

C. Examples

  • Kramers or underdamped Langevin equation
  • Overdamped Langevin equation
  • Gradient SDEs
  • Linear diffusions
  • Ornstein-Uhlenbeck process

D. Equilibrium versus nonequilibrium processes

  • !

E. Comparison with quantum mechanics

  • !

F. Further reading

III. Dynamical observables

IV. Large deviations

A. Large deviation principle

B. Spectral problem

C. Symmetrization

D. Example: Ornstein-Uhlenbeck process

E. Further reading

Appendix A: Dual spaces for Markov processes

Appendix B: Non-Hermitian operators

Appendix C: Feynman-Kac formula