Springer Probability Measures on Semigroups: Convolution Products, Random Walks and Random Matrices (Probability and Its Applications)

Product Description This second edition presents up-to-date material on the theory of weak convergance of convolution products of probability measures in 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.  This substantially revised text includes exercises at various levels at the end of each section and includes the best available proofs on the most important theorems used in a book, making it suitable for a one semester course on semigroups.  In addition, it could also be used as a main text or supplementary material for courses focusing on probability on algebraic structures or weak convergance.  This book is ideally suited to graduate students in mathematics, and students in other fields, such as engineering and the sciences with an interest in probability.  Students in statistics using advanced probability will also find this book useful. Review From the reviews of the second edition:`A well-written book...This is elegant mathematics, motivated by examples and presented in an accessible way that engages the reader.' International Statistics Institute, December 1996 `This beautiful book...guides the reader through the most important developments...a valuable addition to the library of the probabilist, and a must for anybody interested in probability on algebraic structures.' Zentralblatt für Mathematik und ihreGrenzgebiete-Mathematical Abstracts `This well-written volume, by two of the most successful workers in the field....deserves to become the standard introduction for beginning researchers in this field.' Journal Royal Statistical Society“Högnäs and Mukherjea have made substantial contributions to the subject themselves and present their work and that of others in a unified way. … For students … this book is an excellent account of the long-term behavior of random transformations. It organizes the ideas very well and its development of the theory is clear and rigorous. … a useful reference for anyone interested in random walks on semigroups and groups. … will be valuable to any reader who wishes to learn the subject … .” (George Willis, SIAM Review, Vol. 54 (2), 2012) From the Back Cover Semigroups are very general structures and scientists often come across them in various contexts in science and engineering. In this second edition of Probability Measures on Semigroups, first published in the University Series in Mathematics in 1996, the authors present 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. They examine the essentials of abstract semigroup theory and its application to concrete semigroups of matrices. They present results on weak convergence, random walks, random matrices using semigroup ideas that for the most part are complete and best possible. Still, as the authors point out, there are other results that remain to be completed. These are all mentioned in the notes and comments at the end of each chapter, and will keep the readership of this book enthusiastic and interested for some time to come. Apart from corrections of several errors, new results have been added in the main text and in the appendices; the references, all notes and comments at the end of each chapter have been updated, and exercises have been added. This volume is suitable for a one semester course on semigroups and it could be used as a main text or supplementary material for courses focusing on probability on algebraic structures or weak convergence. It is ideally suited to graduate students in mathematics, and in other fields such as engineering and sciences with an interest in probability. Students in statistics using advance probability will also find it useful. 'A well-w