Asymptotic expansion for transport maps between laws of multimatrix models

Fuente: arXiv
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Autores principales: Jekel, David, Nikitopoulos, Evangelos A., Parraud, Félix
Formato: Preprint
Publicado: 2026
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author Jekel, David
Nikitopoulos, Evangelos A.
Parraud, Félix
author_facet Jekel, David
Nikitopoulos, Evangelos A.
Parraud, Félix
contents We study the large-$N$ behavior of random matrix tuples $Y^N = (Y_1^N,\dots,Y_d^N)$ with joint density proportional to $e^{-N^2 V}$ for some convex function $V$ in non-commuting variables satisfying certain bounds on its second derivative. We give an asymptotic expansion in powers of $1/N^2$ of the trace of noncommutative smooth functions of $Y^N$. We also give an asymptotic expansion for a family of maps $T^N$ that transport the law of a tuple of independent GUE random matrices to the law of $Y^N$ and, as a consequence, show strong convergence for the multimatrix models $Y^N$. Our proof is based on an asymptotic expansion for the heat semigroup associated to the measure, which is expressed in terms of smooth functions of a matrix Brownian motion $(S^{N}_t)_{t \geq 0}$. We introduce spaces of noncommutative smooth functions that unify and generalize the cases of polynomials and single-variable smooth functions and allow the systematic application of asymptotic expansion techniques to multimatrix models with convex interaction.
format Preprint
id arxiv_https___arxiv_org_abs_2604_03213
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Asymptotic expansion for transport maps between laws of multimatrix models
Jekel, David
Nikitopoulos, Evangelos A.
Parraud, Félix
Probability
Operator Algebras
46L54, 60B20, 35Q49, 46L52, 60H10, 41A60
We study the large-$N$ behavior of random matrix tuples $Y^N = (Y_1^N,\dots,Y_d^N)$ with joint density proportional to $e^{-N^2 V}$ for some convex function $V$ in non-commuting variables satisfying certain bounds on its second derivative. We give an asymptotic expansion in powers of $1/N^2$ of the trace of noncommutative smooth functions of $Y^N$. We also give an asymptotic expansion for a family of maps $T^N$ that transport the law of a tuple of independent GUE random matrices to the law of $Y^N$ and, as a consequence, show strong convergence for the multimatrix models $Y^N$. Our proof is based on an asymptotic expansion for the heat semigroup associated to the measure, which is expressed in terms of smooth functions of a matrix Brownian motion $(S^{N}_t)_{t \geq 0}$. We introduce spaces of noncommutative smooth functions that unify and generalize the cases of polynomials and single-variable smooth functions and allow the systematic application of asymptotic expansion techniques to multimatrix models with convex interaction.
title Asymptotic expansion for transport maps between laws of multimatrix models
topic Probability
Operator Algebras
46L54, 60B20, 35Q49, 46L52, 60H10, 41A60
url https://arxiv.org/abs/2604.03213