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Information geometry, trade-off relations, and generalized Glansdorff–Prigogine criterion for stability
Author(s) -
Sosuke Ito
Publication year - 2021
Publication title -
journal of physics a mathematical and theoretical
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.787
H-Index - 163
eISSN - 1751-8121
pISSN - 1751-8113
DOI - 10.1088/1751-8121/ac3fc2
Subject(s) - stability criterion , entropy production , observable , mathematics , non equilibrium thermodynamics , nonlinear system , stability (learning theory) , entropy (arrow of time) , statistical physics , mathematical analysis , thermodynamics , physics , computer science , statistics , discrete time and continuous time , quantum mechanics , machine learning
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.

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