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Large Random Matrices: Lectures on Macroscopic Asymptotics École d'Été de Probabilités de Saint-Flour XXXVI - 2006 /
Random matrix theory has developed in the last few years, in connection with various fields of mathematics and physics. These notes emphasize the relation with the problem of enumerating complicated graphs, and the related large deviations questions. Such questions are also closely related with the...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | École d'Été de Probabilités de Saint-Flour ;
1957 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Wigner matrices and moments estimates
- Wigner#x2019;s theorem
- Wigner's matrices; more moments estimates
- Words in several independent Wigner matrices
- Wigner matrices and concentration inequalities
- Concentration inequalities and logarithmic Sobolev inequalities
- Generalizations
- Concentration inequalities for random matrices
- Matrix models
- Maps and Gaussian calculus
- First-order expansion
- Second-order expansion for the free energy
- Eigenvalues of Gaussian Wigner matrices and large deviations
- Large deviations for the law of the spectral measure of Gaussian Wigner's matrices
- Large Deviations of the Maximum Eigenvalue
- Stochastic calculus
- Stochastic analysis for random matrices
- Large deviation principle for the law of the spectral measure of shifted Wigner matrices
- Asymptotics of Harish-Chandra-Itzykson-Zuber integrals and of Schur polynomials
- Asymptotics of some matrix integrals
- Free probability
- Free probability setting
- Freeness
- Free entropy
- Basics of matrices
- Basics of probability theory.