Information geometry, trade-off relations, and generalized Glansdorff-Prigogine criterion for stability

TL;DR

This paper links information geometry with the Glansdorff-Prigogine stability criterion, proposing a generalized, more effective stability measure for nonlinear nonequilibrium systems, supported by derived trade-off relations and an autocatalytic reaction example.

Contribution

It introduces a novel information-geometric stability criterion that outperforms traditional methods for nonlinear master equations and derives new thermodynamic trade-off relations.

Findings

The geometric relation between line element and excess entropy production rate.

The generalized stability criterion works well for nonlinear master equations.

Derived trade-off relations clarify the physical basis of the stability criterion.

Abstract

We discuss a relationship between information geometry and the Glansdorff-Prigogine criterion for stability. For the linear master equation, we found a relation between the line element and the excess entropy production rate. This relation leads to a new perspective of stability in a nonequilibrium steady-state. We also generalize the Glansdorff-Prigogine criterion for stability based on information geometry. Our information-geometric criterion for stability works well for the nonlinear master equation, where the Glansdorff-Prigogine criterion for stability does not work well. We derive a trade-off relation among the fluctuation of the observable, the mean change of the observable, and the intrinsic speed. We also derive a novel thermodynamic trade-off relation between the excess entropy production rate and the intrinsic speed. These trade-off relations provide a physical interpretation of our information-geometric criterion for stability. We illustrate our information-geometric criterion for stability by an autocatalytic reaction model, where dynamics are driven by a nonlinear master equation.