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Free probability and random matrices - MaRDI portal

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Free probability and random matrices (Q511297)

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scientific article; zbMATH DE number 6436233
  • Random matrices, the counting of surfaces and free probability theory
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English
Free probability and random matrices
scientific article; zbMATH DE number 6436233
  • Random matrices, the counting of surfaces and free probability theory

Statements

Free probability and random matrices (English)
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Random matrices, the counting of surfaces and free probability theory (English)
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14 February 2017
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18 May 2015
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This book is an excellent survey, respectively introduction, into recent developments in free probability theory and its applications to random matrices. The authors superbly guide the reader through a number of important examples and present a carefully selected list of 207 relevant publications. On the backside of the book you can read: ``This volume opens the world of free probability to a wide variety of readers. From its roots in the theory of operator algebras, free probability has intertwined with non-crossing partitions, random matrices, applications in wireless communications, representation theory of large groups, quantum groups, the invariant subspace problem, large deviations, subfactors, and beyond. This book puts a special emphasis on the relation of free probability to random matrices, but also touches upon the operator algebraic, combinatorial, and analytic aspects of the theory. The book serves as a combination textbook/research monograph, with self-contained chapters, exercises scattered throughout the text, and coverage of important ongoing progress of the theory. It will appeal to graduate students and all mathematicians interested in random matrices and free probability from the point of view of operator algebras, combinatorics, analytic functions, or applications in engineering and statistical physics.'' Contents: Introduction; 1. Asymptotic freeness of Gaussian random matrices; 2. The free central limit theorem and free cumulants; 3. Free harmonic analysis; 4. Asymptotic freeness for Gaussian, Wigner, and unitary; 5. Fluctuations and second-order freeness; 6. Free group factors and freeness; 7. Free entropy \(\chi\): the microstates approach via large deviations; 8. Free entropy \(\chi^*\): The non-microstates approach via Fisher information; 9. Operator-valued free probability theory and block random matrices; 10. Deterministic equivalents, polynomials in free variables, and analytic theory of operator-valued convolution; 11. Brown measure; 12. Solutions of exercises; References; Index of exercises: Index.
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Voiculescu's free probability theory
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random matrices
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free cumulands
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noncommutataive distribution
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non-commutative probability spaces
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operator valued free probability
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subfactors
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free central limit theorem
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free probability
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