Log-gases and random matrices /

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Bibliographic Details
Author / Creator:Forrester, Peter (Peter John)
Imprint:Princeton : Princeton University Press, ©2010.
Description:1 online resource (xiv, 791 pages) : illustrations
Language:English
Series:London Mathematical Society monographs series ; v. 34
London Mathematical Society monographs ; new ser., no. 34.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11227483
Hidden Bibliographic Details
ISBN:9781400835416
1400835410
9780691128290
0691128294
Notes:Includes bibliographical references (pages 765-784) and index.
Print version record.
Summary:Random matrix theory, both as an application and as a theory, has evolved rapidly over the past fifteen years. Log-Gases and Random Matrices gives a comprehensive account of these developments, emphasizing log-gases as a physical picture and heuristic, as well as covering topics such as beta ensembles and Jack polynomials. Peter Forrester presents an encyclopedic development of log-gases and random matrices viewed as examples of integrable or exactly solvable systems. Forrester develops not only the application and theory of Gaussian and circular ensembles of classical random matrix theory.
Other form:Print version: Forrester, Peter (Peter John). Log-gases and random matrices. Princeton : Princeton University Press, ©2010 9780691128290
Standard no.:9786612641749

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260 |a Princeton :  |b Princeton University Press,  |c ©2010. 
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490 1 |a London Mathematical Society monographs series ;  |v v. 34 
504 |a Includes bibliographical references (pages 765-784) and index. 
588 0 |a Print version record. 
520 |a Random matrix theory, both as an application and as a theory, has evolved rapidly over the past fifteen years. Log-Gases and Random Matrices gives a comprehensive account of these developments, emphasizing log-gases as a physical picture and heuristic, as well as covering topics such as beta ensembles and Jack polynomials. Peter Forrester presents an encyclopedic development of log-gases and random matrices viewed as examples of integrable or exactly solvable systems. Forrester develops not only the application and theory of Gaussian and circular ensembles of classical random matrix theory. 
505 0 |a Cover; Title; Copyright; Preface; Contents; Chapter 1. Gaussian matrix ensembles; Chapter 2. Circular ensembles; Chapter 3. Laguerre and Jacobi ensembles; Chapter 4. The Selberg integral; Chapter 5. Correlation functions at ß = 2; Chapter 6. Correlation functions at ß = 1 and 4; Chapter 7. Scaled limits at ß = 1, 2 and 4; Chapter 8. Eigenvalue probabilities Painlev systems approach; Chapter 9. Eigenvalue probabilities Fredholm determinant approach; Chapter 10. Lattice paths and growth models; Chapter 11. The CalogeroSutherland model; Chapter 12. Jack polynomials. 
505 8 |a Chapter 13. Correlations for general ßChapter 14. Fluctuation formulas and universal behavior of correlations; Chapter 15. The two-dimensional one-component plasma; Bibliography; Index. 
650 0 |a Random matrices.  |0 http://id.loc.gov/authorities/subjects/sh86001920 
650 0 |a Jacobi polynomials.  |0 http://id.loc.gov/authorities/subjects/sh85069211 
650 0 |a Integral theorems.  |0 http://id.loc.gov/authorities/subjects/sh85067097 
650 0 |a Mathematics.  |0 http://id.loc.gov/authorities/subjects/sh85082139 
650 7 |a MATHEMATICS  |x Matrices.  |2 bisacsh 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Integral theorems.  |2 fast  |0 (OCoLC)fst00975516 
650 7 |a Jacobi polynomials.  |2 fast  |0 (OCoLC)fst00981029 
650 7 |a Mathematics.  |2 fast  |0 (OCoLC)fst01012163 
650 7 |a Random matrices.  |2 fast  |0 (OCoLC)fst01089803 
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