Description
The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader’s understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach the research literature with confidence.
- A rigorous yet accessible introduction for beginners at the graduate level
- Contains over 70 exercises so the reader can test their understanding of the material
- A valuable text not only for mathematicians, but also physicists and electrical engineers
Table of Contents
Preface
1. Introduction
2. Real and complex Wigner matrices
3. Hermite polynomials, spacings, and limit distributions for the Gaussian ensembles
4. Some generalities
5. Free probability
Appendices
Bibliography
General conventions
Glossary
Index.
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