Categories of measurement functors. Entropy of discrete amenable group representations on abstract categories. Entropy as a bifunctor into $[0,\infty]$
Nikita Moriakov

TL;DR
This paper introduces a unified entropy framework for representations of discrete amenable groups on abstract categories, generalizing classical topological and Kolmogorov-Sinai entropies through measurement functors and bifunctors.
Contribution
It develops a general entropy theory for group representations on abstract categories using measurement functors, unifying classical entropy notions under a categorical framework.
Findings
Entropy decreases along morphisms in the representation category.
Different measurement functors produce entropies that decrease pointwise along natural transformations.
Classical entropies are special cases within this generalized categorical entropy framework.
Abstract
The main purpose of this article is to provide a common generalization of the notions of a topological and Kolmogorov-Sinai entropy for arbitrary representations of discrete amenable groups on objects of (abstract) categories. This is performed by introducing the notion of a measurement functor from the category of representations of a fixed amenable group on objects of an abstract category C to the category of representations of on distributive lattices with localization. We develop the entropy theory of representations of on these lattices, and then define the entropy of a representation of on objects of the category C with respect to a given measurement functor. For a fixed measurement functor, this entropy decreases along arrows of the category of representations. For a fixed category, entropies defined via different measurement functors decrease…
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Taxonomy
TopicsTopological and Geometric Data Analysis · advanced mathematical theories
