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Ergodic Optimization for Open Expanding Multi-valued Topological Dynamical Systems

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arxiv 2503.18092 v2 pith:QQOG7ACR submitted 2025-03-23 math.DS

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keywords systemsergodicmaximummulti-valuedaverageaveragesdynamicalexpanding
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We study the optimization of ergodic averages for multi-valued dynamical systems, i.e. where points may have multiple different forward orbits. Under upper semi-continuity assumptions, we show that the maximum space average with respect to invariant probability measures for such systems can be characterised in terms of maximum time averages on an auxiliary shift space. For all multi-valued expanding systems that are open mappings, we show that every H\"older continuous real-valued function can be modified by a coboundary, of the same H\"older exponent, such that the resulting function is dominated by its maximum ergodic average.

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  1. Typical Uniqueness in Ergodic Optimization

    math.DS 2025-06 conditional novelty 6.0 of 10

    In ergodic optimization, for any separable Banach space of potentials densely embedded in C(X), the non-unique-maximizing functions lie in a countable union of hypersurfaces.

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