English

Path integral methods for the dynamics of stochastic and disordered systems

Disordered Systems and Neural Networks 2017-01-26 v1 Statistical Mechanics

Abstract

We review some of the techniques used to study the dynamics of disordered systems subject to both quenched and fast (thermal) noise. Starting from the Martin-Siggia-Rose path integral formalism for a single variable stochastic dynamics, we provide a pedagogical survey of the perturbative, i.e. diagrammatic, approach to dynamics and how this formalism can be used for studying soft spin models. We review the supersymmetric formulation of the Langevin dynamics of these models and discuss the physical implications of the supersymmetry. We also describe the key steps involved in studying the disorder-averaged dynamics. Finally, we discuss the path integral approach for the case of hard Ising spins and review some recent developments in the dynamics of such kinetic Ising models.

Keywords

Cite

@article{arxiv.1604.05775,
  title  = {Path integral methods for the dynamics of stochastic and disordered systems},
  author = {John A. Hertz and Yasser Roudi and Peter Sollich},
  journal= {arXiv preprint arXiv:1604.05775},
  year   = {2017}
}

Comments

review article, 37 pages

R2 v1 2026-06-22T13:36:21.301Z