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?Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience.
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Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience.
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Random Matrices and Iterated Random Functions : Münster, October 2011
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Springer Berlin Heidelberg, 2013
ISBN 10: 3642388051
ISBN 13: 9783642388057
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Random Matrices and Iterated Random Functions
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Random Matrices and Iterated Random Functions
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Springer Berlin Heidelberg Sep 2013, 2013
ISBN 10: 3642388051
ISBN 13: 9783642388057
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience. 276 pp. Englisch. Codice articolo 9783642388057
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Random Matrices and Iterated Random Functions : Münster, October 2011
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience. Codice articolo 9783642388057
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Random Matrices and Iterated Random Functions
ISBN 10: 3642388051
ISBN 13: 9783642388057
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Buch. Condizione: Neu. Neuware -InhaltsangabeE. Le Page: Tails of a stationary probability measure for an affine stochastic recursion on the line.- Yv. Guivarc'h: On homogeneity at infinity of stationary measures for affine stochastic recursions.- M. Stolz: Limit theorems for random elements of the compact classical groups.- T. Kriecherbauer: Universality of local eigenvalue statistics.- R. Speicher: Asymptotic eigenvalue distribution of random matrices and free stochastic analysis. M. Peigné: Conditioned random walk in Weyl chambers and renewal theory in a cone.- D. Buraczewski: The linear stochastic equation R =_d sum_{ i=1}^N A_iR_i + B in the critical case.- J. Collamore: Tail estimates for stochastic fixed point equations.- S. Mentemeier: On multivariate random difference equations.- M. Olvera-Cravioto: Tail asymptotics for solutions of stochastic fixed point equations on trees.- E. Damek: On fixed points of generalized multidimensional affine recursions.- G. Alsmeyer: The functional equation of the smoothing transform.- O. Friesen, M. Löwe: Limit theorems for the eigenvalues of random matrices with weakly correlated entries.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. Codice articolo 9783642388057
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Random Matrices and Iterated Random Functions: Münster, October 2011 (Springer Proceedings in Mathematics & Statistics, 53)
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Random Matrices and Iterated Random Functions
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Random Matrices and Iterated Random Functions: Münster, October 2011
Da: Revaluation Books, Exeter, Regno Unito
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Hardcover. Condizione: Brand New. 2013 edition. 254 pages. 9.25x6.25x0.75 inches. In Stock. Codice articolo x-3642388051
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Random Matrices and Iterated Random Functions
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Condizione: New. Print on Demand pp. 276. Codice articolo 96338619
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Random Matrices and Iterated Random Functions: Münster, October 2011 (Springer Proceedings in Mathematics & Statistics, 53)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condizione: New. Codice articolo ABLIING23Mar3113020225714
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