Minimax aspects of optimizations in ergodic theory

Fuente: arXiv
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Autore principale: Motonaga, Shoya
Natura: Preprint
Pubblicazione: 2024
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author Motonaga, Shoya
author_facet Motonaga, Shoya
contents We study optimization problems in ergodic theory from the view point of minimax problems. We give minimax characterizations of maximum ergodic averages involving time averages. Our approach works for the abstract variational principle of generalized pressure functions which is proved by Biś et al. (2022). We also describe the relationship between our minimax results and the Fenchel-Rockafellar duality.
format Preprint
id arxiv_https___arxiv_org_abs_2411_17615
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Minimax aspects of optimizations in ergodic theory
Motonaga, Shoya
Dynamical Systems
37A05, 37A50
We study optimization problems in ergodic theory from the view point of minimax problems. We give minimax characterizations of maximum ergodic averages involving time averages. Our approach works for the abstract variational principle of generalized pressure functions which is proved by Biś et al. (2022). We also describe the relationship between our minimax results and the Fenchel-Rockafellar duality.
title Minimax aspects of optimizations in ergodic theory
topic Dynamical Systems
37A05, 37A50
url https://arxiv.org/abs/2411.17615