Hardcover ISBN: | 978-0-8218-4878-4 |
Product Code: | CRMM/28 |
List Price: | $115.00 |
MAA Member Price: | $103.50 |
AMS Member Price: | $92.00 |
eBook ISBN: | 978-1-4704-1771-0 |
Product Code: | CRMM/28.E |
List Price: | $110.00 |
MAA Member Price: | $99.00 |
AMS Member Price: | $88.00 |
Hardcover ISBN: | 978-0-8218-4878-4 |
eBook: ISBN: | 978-1-4704-1771-0 |
Product Code: | CRMM/28.B |
List Price: | $225.00 $170.00 |
MAA Member Price: | $202.50 $153.00 |
AMS Member Price: | $180.00 $136.00 |
Hardcover ISBN: | 978-0-8218-4878-4 |
Product Code: | CRMM/28 |
List Price: | $115.00 |
MAA Member Price: | $103.50 |
AMS Member Price: | $92.00 |
eBook ISBN: | 978-1-4704-1771-0 |
Product Code: | CRMM/28.E |
List Price: | $110.00 |
MAA Member Price: | $99.00 |
AMS Member Price: | $88.00 |
Hardcover ISBN: | 978-0-8218-4878-4 |
eBook ISBN: | 978-1-4704-1771-0 |
Product Code: | CRMM/28.B |
List Price: | $225.00 $170.00 |
MAA Member Price: | $202.50 $153.00 |
AMS Member Price: | $180.00 $136.00 |
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Book DetailsCRM Monograph SeriesVolume: 28; 2009; 127 ppMSC: Primary 33; 11; 26; 15
Orthogonal polynomials satisfy a three-term recursion relation irrespective of the weight function with respect to which they are defined. This gives a simple formula for the kernel function, known in the literature as the Christoffel–Darboux sum. The availability of asymptotic results of orthogonal polynomials and the simple structure of the Christoffel–Darboux sum make the study of unitary ensembles of random matrices relatively straightforward.
In this book, the author develops the theory of skew-orthogonal polynomials and obtains recursion relations which, unlike orthogonal polynomials, depend on weight functions. After deriving reduced expressions, called the generalized Christoffel–Darboux formulas (GCD), he obtains universal correlation functions and non-universal level densities for a wide class of random matrix ensembles using the GCD.
The author also shows that once questions about higher order effects are considered (questions that are relevant in different branches of physics and mathematics) the use of the GCD promises to be efficient.
Titles in this series are co-published with the Centre de recherches mathématiques.
ReadershipResearch mathematicians interested in random matrix theory.
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Table of Contents
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Chapters
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Introduction
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Level density and correlation functions
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The $S^{(\beta )}_\mathbb {N}(x,y)$ kernel and Christoffel–Darboux formulas
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Mapping
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Unitary ensembles
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Orthogonal ensembles (even dimension)
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Orthogonal ensembles (odd dimension)
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Symplectic ensembles
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Skew-orthogonal polynomials and differential systems
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Matrix integral representations and zeros of polynomials
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Duality
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Conclusion
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Additional Material
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RequestsReview Copy – for publishers of book reviewsAccessibility – to request an alternate format of an AMS title
- Book Details
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- Additional Material
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Orthogonal polynomials satisfy a three-term recursion relation irrespective of the weight function with respect to which they are defined. This gives a simple formula for the kernel function, known in the literature as the Christoffel–Darboux sum. The availability of asymptotic results of orthogonal polynomials and the simple structure of the Christoffel–Darboux sum make the study of unitary ensembles of random matrices relatively straightforward.
In this book, the author develops the theory of skew-orthogonal polynomials and obtains recursion relations which, unlike orthogonal polynomials, depend on weight functions. After deriving reduced expressions, called the generalized Christoffel–Darboux formulas (GCD), he obtains universal correlation functions and non-universal level densities for a wide class of random matrix ensembles using the GCD.
The author also shows that once questions about higher order effects are considered (questions that are relevant in different branches of physics and mathematics) the use of the GCD promises to be efficient.
Titles in this series are co-published with the Centre de recherches mathématiques.
Research mathematicians interested in random matrix theory.
-
Chapters
-
Introduction
-
Level density and correlation functions
-
The $S^{(\beta )}_\mathbb {N}(x,y)$ kernel and Christoffel–Darboux formulas
-
Mapping
-
Unitary ensembles
-
Orthogonal ensembles (even dimension)
-
Orthogonal ensembles (odd dimension)
-
Symplectic ensembles
-
Skew-orthogonal polynomials and differential systems
-
Matrix integral representations and zeros of polynomials
-
Duality
-
Conclusion