Titlebook: Large Random Matrices: Lectures on Macroscopic Asymptotics; École d‘Été de Proba Alice Guionnet Book 2009 Springer-Verlag Berlin Heidelberg

transient-pain

高尔夫

滔滔不绝地讲

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

Mortal

手势

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

易弯曲

紧张过度

FELON

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.