Spectral invariants towards a Non-convex Aubry-Mather theory
Nicolas Vichery

TL;DR
This paper extends Mather's theory to non-convex Hamiltonians using spectral invariants, showing the preservation of key relations and applying results to invariant measures in KAM theory.
Contribution
It introduces a non-convex Mather functional via spectral invariants, preserving fundamental relations and enabling new applications in KAM theory.
Findings
Relation between invariant measures and Mather's subdifferential is preserved in non-convex case
Extension of Mather's functional to non-convex Hamiltonians using spectral invariants
Application to existence of invariant measures with large rotation vectors after KAM tori disappear
Abstract
Aubry-Mather is traditionally concerned with Tonelli Hamiltonian (convex and super-linear). In \cite{Vi,MVZ}, Mather's function is recovered from the homogenization of symplectic capacities. This allows the authors to extend the Mather functional to non convex cases. This article shows that the relation between invariant measures and the subdifferential of Mather's functional (which is the foundational statement of Mather) is preserved in the non convex case. We give applications in the context of the classical KAM theory to the existence of invariant measures with large rotation vector after the possible disappearance of some KAM tori.
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Taxonomy
TopicsQuantum chaos and dynamical systems · Mathematical Dynamics and Fractals · Advanced Differential Equations and Dynamical Systems
