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100816s2010 nju o 00 0 eng d |
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|a 9781400835416
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|z 9780691128290
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|a MdBmJHUP
|c MdBmJHUP
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|a Forrester, Peter
|q (Peter John)
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|a Log-Gases and Random Matrices (LMS-34) /
|c P.J. Forrester.
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|a Princeton :
|b Princeton University Press,
|c 2010.
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|a Baltimore, Md. :
|b Project MUSE,
|c 0000
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|c ©2010.
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|a 1 online resource:
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a London Mathematical Society monographs series ;
|v v. 34
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|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.
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|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.
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|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.
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|a Description based on print version record.
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650 |
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7 |
|a Random matrices.
|2 fast
|0 (OCoLC)fst01089803
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650 |
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7 |
|a Mathematics.
|2 fast
|0 (OCoLC)fst01012163
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650 |
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7 |
|a Jacobi polynomials.
|2 fast
|0 (OCoLC)fst00981029
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650 |
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|a Integral theorems.
|2 fast
|0 (OCoLC)fst00975516
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650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
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650 |
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7 |
|a MATHEMATICS
|x Matrices.
|2 bisacsh
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650 |
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|a mathematics.
|2 aat
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650 |
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|a applied mathematics.
|2 aat
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650 |
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6 |
|a Mathematiques.
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650 |
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|a Theoremes integraux.
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650 |
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6 |
|a Polynômes de Jacobi.
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650 |
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6 |
|a Matrices aleatoires.
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650 |
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0 |
|a Mathematics.
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650 |
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0 |
|a Integral theorems.
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650 |
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|a Jacobi polynomials.
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650 |
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|a Random matrices.
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655 |
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7 |
|a Electronic books.
|2 local
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|a Project Muse.
|e distributor
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|a Book collections on Project MUSE.
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|z Texto completo
|u https://projectmuse.uam.elogim.com/book/30400/
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|a Project MUSE - Custom Collection
|