Stochastic Field Theory for Transport Statistics in Diffusive Systems
Eugene V. Sukhorukov, Andrew N. Jordan, Sebastian Pilgram

TL;DR
This paper develops a universal field theory framework to analyze charge and current fluctuation statistics in diffusive systems, applicable across various physical scales and models.
Contribution
It introduces a saddle-point based field theory that simplifies the calculation of transport statistics using only local diffusion and noise parameters.
Findings
The theory provides a universal cumulant generating function for diffusive systems.
It applies to both mesoscopic and classical diffusive systems.
The approach simplifies the analysis of fluctuation statistics across different models.
Abstract
We present a field theory for the statistics of charge and current fluctuations in diffusive systems. The cumulant generating function is given by the saddle-point solution for the action of this field theory. The action depends on two parameters only: the local diffusion and noise coefficients, which naturally leads to the universality of the transport statistics for a wide class of multi-dimensional diffusive models. Our theory can be applied to semi-classical mesoscopic systems, as well as beyond mesoscopic physics.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Theoretical and Computational Physics · Surface and Thin Film Phenomena
