Typical periodic optimization for dynamical systems: symbolic dynamics

Fuente: arXiv
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Hauptverfasser: Huang, Wen, Jenkinson, Oliver, Xu, Leiye, Zhang, Yiwei
Format: Preprint
Veröffentlicht: 2026
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author Huang, Wen
Jenkinson, Oliver
Xu, Leiye
Zhang, Yiwei
author_facet Huang, Wen
Jenkinson, Oliver
Xu, Leiye
Zhang, Yiwei
contents We develop a new theory of maximizing sets in dynamical systems, for the study of ergodic optimization in systems with weak hyperbolicity but where the Mañé cohomology lemma does not hold. This leads to new solutions of the Typical Periodic Optimization problem in the Lipschitz category: existence of an open dense set of Lipschitz functions such that each member has a unique maximizing measure and this measure is periodic (an equi-distribution on a single periodic orbit). The theory yields a structural theorem, that isolates the part of the system responsible for any robust non-periodic optimization. The structural theorem is developed further in the setting of symbolic dynamics: given any shift space, for typical Lipschitz functions the maximizing measure is shown to be either periodic or supported on the Markov boundary of the shift space. It follows that Contreras' Typical Periodic Optimization theorem for shifts of finite type can be extended to a wide class of shift spaces, including every sofic shift. The structural theorem is used to provide the first known example of a shift space where Typical Periodic Optimization fails despite periodic measures being dense in the set of all invariant measures.
format Preprint
id arxiv_https___arxiv_org_abs_2603_07224
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Typical periodic optimization for dynamical systems: symbolic dynamics
Huang, Wen
Jenkinson, Oliver
Xu, Leiye
Zhang, Yiwei
Dynamical Systems
Primary: 37A99, Secondary: 37B02, 37B10, 37B99, 37D05, 37D35
We develop a new theory of maximizing sets in dynamical systems, for the study of ergodic optimization in systems with weak hyperbolicity but where the Mañé cohomology lemma does not hold. This leads to new solutions of the Typical Periodic Optimization problem in the Lipschitz category: existence of an open dense set of Lipschitz functions such that each member has a unique maximizing measure and this measure is periodic (an equi-distribution on a single periodic orbit). The theory yields a structural theorem, that isolates the part of the system responsible for any robust non-periodic optimization. The structural theorem is developed further in the setting of symbolic dynamics: given any shift space, for typical Lipschitz functions the maximizing measure is shown to be either periodic or supported on the Markov boundary of the shift space. It follows that Contreras' Typical Periodic Optimization theorem for shifts of finite type can be extended to a wide class of shift spaces, including every sofic shift. The structural theorem is used to provide the first known example of a shift space where Typical Periodic Optimization fails despite periodic measures being dense in the set of all invariant measures.
title Typical periodic optimization for dynamical systems: symbolic dynamics
topic Dynamical Systems
Primary: 37A99, Secondary: 37B02, 37B10, 37B99, 37D05, 37D35
url https://arxiv.org/abs/2603.07224