Free Probability and Random Matrices: Fields Institute Monographs, cartea 35
Autor James A. Mingo, Roland Speicheren Limba Engleză Paperback – 27 iul 2018
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.
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Specificații
ISBN-13: 9781493983469
ISBN-10: 1493983466
Ilustrații: XIV, 336 p. 45 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st ed. 2017
Editura: Springer
Colecția Springer
Seria Fields Institute Monographs
Locul publicării:New York, NY, United States
ISBN-10: 1493983466
Ilustrații: XIV, 336 p. 45 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st ed. 2017
Editura: Springer
Colecția Springer
Seria Fields Institute Monographs
Locul publicării:New York, NY, United States
Cuprins
1. Asymptotic Freeness of Gaussian Random Matrices.- 2. The Free Central Limit Theorem and Free Cumulants.- 3. Free Harmonic Analysis.- 4. Asymptotic Freeness.- 5. Second Order Freeness.- 6. Free Group Factors and Freeness.- 7. Free Entropy X-the Microstates Approach via Large Deviations.- Free Entropy X*-the Non-Microstates Approach via Free Fisher Information.- 9. Operator-Valued Free Probability Theory and Block Random Matrices.- 10. Polynomials in Free Variables and Operator-Valued Convolution.- 11. Brown Measure.- Solutions to Exercises.- References.- Index of Exercises.
Recenzii
“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.” (Ludwig Paditz, zbMATH 1387.60005, 2018)
Textul de pe ultima copertă
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.
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.
Caracteristici
Covers a variety of different facets of free probability, giving a flavor of the breadth of the subject Features exercises scattered throughout the text Showcases basic ideas and results in order to focus on their relation Includes supplementary material: sn.pub/extras