Free information geometry and the model theory of noncommutative stochastic processes

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1. Verfasser: Jekel, David
Format: Preprint
Veröffentlicht: 2026
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author Jekel, David
author_facet Jekel, David
contents We study entropy and optimal transport theory in the free probabilistic setting motivated by the large-$n$ theory of random tuples of matrices. We define a new version of free entropy $χ_{\operatorname{chron}}^{\mathcal{U}}$, which is concave along geodesics in the corresponding Wasserstein space. Moreover, the heat evolution satisfies the evolution variational inequality, which means that the heat evolution is the Wasserstein gradient flow for entropy in the metric sense. It also has further desirable properties such as a chain rule for iterated conditioning, and an expression in terms of stochastic control problems. This entropy is defined using microstate spaces of matrix approximations with respect to an expanded class of test functions called chronological formulas, which are constructed so as to be closed under taking partial suprema and infima and application of a free heat semigroup. These formulas are part of a novel framework for studying noncommutative filtrations and stochastic processes as metric structures in the sense of continuous model theory.
format Preprint
id arxiv_https___arxiv_org_abs_2604_12212
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Free information geometry and the model theory of noncommutative stochastic processes
Jekel, David
Operator Algebras
Functional Analysis
Logic
Optimization and Control
Probability
Primary: 46L54, 03C66, 49Q22, Secondary: 49J40, 60B20, 60F10, 60G10
We study entropy and optimal transport theory in the free probabilistic setting motivated by the large-$n$ theory of random tuples of matrices. We define a new version of free entropy $χ_{\operatorname{chron}}^{\mathcal{U}}$, which is concave along geodesics in the corresponding Wasserstein space. Moreover, the heat evolution satisfies the evolution variational inequality, which means that the heat evolution is the Wasserstein gradient flow for entropy in the metric sense. It also has further desirable properties such as a chain rule for iterated conditioning, and an expression in terms of stochastic control problems. This entropy is defined using microstate spaces of matrix approximations with respect to an expanded class of test functions called chronological formulas, which are constructed so as to be closed under taking partial suprema and infima and application of a free heat semigroup. These formulas are part of a novel framework for studying noncommutative filtrations and stochastic processes as metric structures in the sense of continuous model theory.
title Free information geometry and the model theory of noncommutative stochastic processes
topic Operator Algebras
Functional Analysis
Logic
Optimization and Control
Probability
Primary: 46L54, 03C66, 49Q22, Secondary: 49J40, 60B20, 60F10, 60G10
url https://arxiv.org/abs/2604.12212