Current Fluctuations and Statistics During a Large Deviation Event in an Exactly-Solvable Transport Model

TL;DR

This paper analytically and numerically investigates the full distribution of current fluctuations in an exactly solvable heat conduction model, revealing detailed system statistics during large deviation events and assessing simulation methods.

Contribution

It derives the complete large deviation function and analyzes system statistics at different times, highlighting the role of microscopic dynamics and fluctuation theorems.

Findings

Midtime statistics are independent of current sign due to time-reversal symmetry.

Endtime statistics depend on current sign and microscopic definition.

Finite-size corrections and bounds for simulation methods are established.

Abstract

We study the distribution of the time-integrated current in an exactly-solvable toy model of heat conduction, both analytically and numerically. The simplicity of the model allows us to derive the full current large deviation function and the system statistics during a large deviation event. In this way we unveil a relation between system statistics at the end of a large deviation event and for intermediate times. Midtime statistics is independent of the sign of the current, a reflection of the time-reversal symmetry of microscopic dynamics, while endtime statistics do depend on the current sign, and also on its microscopic definition. We compare our exact results with simulations based on the direct evaluation of large deviation functions, analyzing the finite-size corrections of this simulation method and deriving detailed bounds for its applicability. We also show how the Gallavotti-Cohen fluctuation theorem can be used to determine the range of validity of simulation results.