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Prevalence in Ergodic optimization, and its relationship to the (non)-Sturiman maximizing problems for doubling maps
Prevalence in Ergodic optimization, and its relationship to the (non)-Sturiman maximizing problems for doubling maps
教师介绍

本讲教师:张一威
所属学科:理科
人  气:186

课程介绍
摘要: Given a dynamical system, we say that a performance function has property P if its time averages along orbits are maximized at a periodic orbit. It is conjectured by several authors that for sufficiently hyperbolic dynamical systems, property P should be typical among sufficiently regular performance functions. In this paper we address this problem using a probabilistic notion of typicality that is suitable to infinite dimension: the concept of prevalence as introduced by Hunt, Sauer, and Yorke. For the one-sided shift on two symbols, we prove that property P is prevalent in spaces of functions with a strong modulus of regularity. Our proof uses Haar wavelets to approximate the ergodic optimization problem by a finite-dimensional one, which can be conveniently restated as a maximum cycle mean problem on a de Bruijin graph. If time permits, we will also disucuss the applications of the above comintorical optimization methods in dealing with (non)-Sturiman maximizing (open) problems for doubling maps.

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