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Monotonicity of the logarithmic energy for random matrices

Chafai, Djalil; Dadoun, Benjamin; Youssef, Pierre (2022), Monotonicity of the logarithmic energy for random matrices. https://basepub.dauphine.psl.eu/handle/123456789/23770

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2212.06090.pdf (388.3Kb)
Type
Document de travail / Working paper
Date
2022
Series title
Cahier de recherche CEREMADE, Université Paris Dauphine-PSL
Published in
Paris
Pages
23
Metadata
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Author(s)
Chafai, Djalil cc
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Dadoun, Benjamin
New York University [Abu Dhabi]
Youssef, Pierre
New York University [Abu Dhabi]
Abstract (EN)
It is well-known that the semi-circle law, which is the limiting distribution in the Wigner theorem, is the minimizer of the logarithmic energy penalized by the second moment. A very similar fact holds for the Girko and Marchenko--Pastur theorems. In this work, we shed the light on an intriguing phenomenon suggesting that this functional is monotonic along the mean empirical spectral distribution in terms of the matrix dimension. This is reminiscent of the monotonicity of the Boltzmann entropy along the Boltzmann equation, the monotonicity of the free energy along ergodic Markov processes, and the Shannon monotonicity of entropy or free entropy along the classical or free central limit theorem. While we only verify this monotonicity phenomenon for the Gaussian unitary ensemble, the complex Ginibre ensemble, and the square Laguerre unitary ensemble, numerical simulations suggest that it is actually more universal. We obtain along the way explicit formulas of the logarithmic energy of the mentioned models which can be of independent interest.
Subjects / Keywords
Random matrices; Entropy; Variational analysis; Logarithmic energy

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