transient-pain 发表于 2025-3-25 07:16:22

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高尔夫 发表于 2025-3-25 11:23:53

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滔滔不绝地讲 发表于 2025-3-25 13:07:53

Concentration inequalities for random matricesf random matrices. To this end, we shall first study the regularity of the eigenvalues of matrices as a function of their entries (since the idea will be to apply concentration inequalities to the entries of the random matrices and then see the eigenvalues as nice functions of these entries).

Harbor 发表于 2025-3-25 18:40:18

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Mortal 发表于 2025-3-25 22:12:15

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手势 发表于 2025-3-26 02:55:10

Large deviations for the law of the spectral measure of Gaussian Wigner’s matricesumber ?. Here, ?(?) = ?.(?. ? ?. )..When .(x) = 4.?x., we have seen in Lemma IV that . is the law of the eigenvalues of an . ×. GOE (resp. GUE, resp GSE) matrix when ? = 1 (resp. ? = 2, resp. ? = 4). The case ? = 4 corresponds to another matrix ensemble, namely the GSE. In view of these remarks and

我要威胁 发表于 2025-3-26 06:56:33

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易弯曲 发表于 2025-3-26 11:12:51

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紧张过度 发表于 2025-3-26 16:03:49

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FELON 发表于 2025-3-26 17:09:07

Maps and Gaussian calculusWe start this chapter by introducing non-commutative polynomials and their relations with special vertices called stars. We then relate the enumeration of the maps buildt upon such vertices with the formal expansion of Gaussian matrix integrals.
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查看完整版本: Titlebook: Large Random Matrices: Lectures on Macroscopic Asymptotics; École d‘Été de Proba Alice Guionnet Book 2009 Springer-Verlag Berlin Heidelberg