SRB Entropy of Markov Transformations
In the family of piecewise differentiable expanding Markov transformations, every map preserves a unique absolutely continuous invariant measure. The measure theoretical entropy with respect to this invariant measure depends on the map differentiably. We prove that this entropy functional does not h...
Saved in:
Published in | Journal of statistical physics Vol. 188; no. 3 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.09.2022
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In the family of piecewise differentiable expanding Markov transformations, every map preserves a unique absolutely continuous invariant measure. The measure theoretical entropy with respect to this invariant measure depends on the map differentiably. We prove that this entropy functional does not have any nontrivial local critical points. The only critical points are where the functional reaches its global maximum. We also observe that the same statement holds true for the family of sufficiently smooth volume-preserving Anosov maps on a torus. Based on Gallavotti–Cohen Chaotic Hypothesis, these families of chaotic maps may serve as mathematical models of thermodynamic systems where the second law of thermodynamics can be rigorously proved. |
---|---|
ISSN: | 0022-4715 1572-9613 |
DOI: | 10.1007/s10955-022-02954-y |