Free Malliavin-Stein-Dirichlet method: multidimensional semicircular approximations and chaos of a quantum Markov operator
Charles-Philippe Diez

TL;DR
This paper develops a new method combining free Stein kernels and free Malliavin calculus to provide quantitative bounds for multidimensional semicircular approximations in free probability, with applications to quantum Markov operators.
Contribution
It introduces a novel free Malliavin-Stein-Dirichlet framework for semicircular approximations and constructs free Stein kernels in quantum chaos settings.
Findings
Derived bounds depending on free cumulants for semicircular approximations.
Established an HSI inequality for non-microstates free entropy.
Applied results to free CLT and quantum Markov semigroups.
Abstract
We combine the notion of free Stein kernel and the free Malliavin calculus to provide quantitative bounds under the free (quadratic) Wasserstein distance in the multivariate semicircular approximations for self-adjoint vector-valued multiple Wigner integrals. On the way, we deduce an HSI inequality for a modified non-microstates free entropy with respect to the potential associated with these semicircular families in the case of non-degeneracy of the covariance matrix. The strategy of the proofs is based on functional inequalities involving the free Stein discrepancy. We obtain a bound which depends on the second and fourth free cumulant of each component. We then apply these results to some examples such as the convergence of marginals in the free functional Breuer-Major CLT for the non commutative fractional Brownian motion, and we provide a bound for the free Stein discrepancy with…
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Taxonomy
TopicsRandom Matrices and Applications
