Bibliographic Information

An introduction to random matrices

Greg W. Anderson, Alice Guionnet, Ofer Zeitouni

(Cambridge studies in advanced mathematics, 118)

Cambridge University Press, 2010

  • : hardback

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Note

Pagination of reprinted with corrections 2011: xiv, 491 p.

Includes bibliographical references (p. 465-480) and index

Description and Table of Contents

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.

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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Details

  • NCID
    BB00298774
  • ISBN
    • 9780521194525
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cambridge
  • Pages/Volumes
    xiv, 492 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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