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arXiv 1101.2706math.DS
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超连续函数在移位中的遍历性Optimization

Ergodic Optimization of Super-continuous Functions in the Shift

Anthony Quas, Jason Siefken

摘要:

遍历优化是寻找使给定函数的积分最大化的不变概率测度的过程。已经证明了“大多数”函数是由周期轨道上的测度所优化的,并且已经在几个可分空间中证明了函数的开稠密子集是由周期轨道上的测度所优化的。我们添加到这些积极的结果,提出了一个不可可分空间,类的超连续函数,其中的一组功能优化的周期轨道措施包含一个开子集密集的超连续函数。

英文摘要:

Ergodic Optimization is the process of finding invariant probability measures that maximize the integral of a given function. It has been conjectured that "most" functions are optimized by measures supported on a periodic orbit, and it has been proved in several separable spaces that an open and dense subset of functions is optimized by measures supported on a periodic orbit. We add to these positive results by presenting a non-separable space, the class of super-continuous functions, where the set of functions optimized by periodic orbit measures contains an open subset dense in super-continuous functions.

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