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The authors present up-to-date information on the theory of weak convergence of convolution products of probability measures on semigroups, the theory of random walks on semigroups, and their applications to products of random matrices. In addition, this unique work examines the essentials of abstract semigroup theory and its application to concrete semigroups of matrices. Graduate students as well as researchers in pure and applied mathematics will appreciate this well-illustrated work.
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Subjects
Probability measures, Semigroups, Probability & statistics, Probabilities, Mathematics, Science/Mathematics, Probability & Statistics - General, Mathematics / Statistics, Wahrscheinlichkeitsmaß, Halbgruppe, Wahrscheinlichkeitstheorie, Mesures de probabilités, Semigroupes, Random walks (mathematics), Distribution (probability theory), Measure theory, Matrices, Global analysis (Mathematics), Computer science, Topological Groups, Probability Theory and Stochastic Processes, Probability and Statistics in Computer Science, Lie Groups Topological Groups, Analysis, Statistics, Statistics, general, Mathematics, generalBook Details
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This original work presents up-to-date information on three major topics in mathematics research: the theory of weak convergence of convolution products of probability measures in semigroups; the theory of random walks with values in semigroups; and the applications of these theories to products of random matrices. The authors introduce the main topics through the fundamentals of abstract semigroup theory and significant research results concerning its application to concrete semigroups of matrices.
The material is suitable for a two-semester graduate course on weak convergence and random walks. It is assumed that the student will have a background in Probability Theory, Measure Theory, and Group Theory.
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September 28, 2024 | Edited by MARC Bot | import existing book |
February 27, 2022 | Created by ImportBot | Imported from Better World Books record |