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Autor(en): 
  • Arunava Mukherjea
  • Göran Högnäs
  • Probability Measures on Semigroups: Convolution Products, Random Walks and Random Matrices 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2010  
    Genre:  Schulbücher 
     
    Analysis / Analysis (Mathematics) / B / Calculus & mathematical analysis / Groups & group theory / Lie groups / Mathematical & statistical software / Mathematical analysis / Mathematical statistics / Mathematics and Statistics / Maths for computer scientists / Probabilities / Probability and Statistics in Computer Science / Probability Theory / Probability Theory and Stochastic Processes / Stochastics / Topological groups / Topological Groups and Lie Groups / Topological Groups, Lie Groups
    ISBN:  9780387775470 
    EAN-Code: 
    9780387775470 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Probability and Its Applications  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1760 gr 
    Seiten:  430 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 convergence. 

    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.

      



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