Probabilistic Analysis and Related Topics
eBook - PDF

Probabilistic Analysis and Related Topics

Volume 2

  1. 220 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Probabilistic Analysis and Related Topics

Volume 2

Book details
Table of contents
Citations

About This Book

Probabilistic Analysis and Related Topics, Volume 2 focuses on the integrability, continuity, and differentiability of random functions, as well as functional analysis, measure theory, operator theory, and numerical analysis. The selection first offers information on the optimal control of stochastic systems and Gleason measures. Discussions focus on convergence of Gleason measures, random Gleason measures, orthogonally scattered Gleason measures, existence of optimal controls without feedback, random necessary conditions, and Gleason measures in tensor products. The text then elaborates on an introduction to nonstandard analysis and hyperfinite probability theory, including applications to stochastic processes, conversion from nonstandard to standard measure spaces, and an introduction to nonstandard analysis. The text examines stochastic matrices, ergodic Markov chains, and measures on semigroups, as well as limit theorems for convolution products of probability measures on completely simple semigroups; ergodicity of Markov chains and probability measures on semigroups; and limits of convolutions in groups and semigroups. The selection is a dependable source of data for mathematicians and researchers interested in the general theory of random functions.

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Yes, you can access Probabilistic Analysis and Related Topics by A. T. Bharucha-Reid in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Year
2014
ISBN
9781483275536

Table of contents

  1. Front Cover
  2. Probabilistic Analysis and Related Topics
  3. Copyright Page
  4. Table of Contents
  5. List of Contributors
  6. Preface
  7. Chapter 1. Optimal Control of Stochastic Systems
  8. Chapter 2. Gleason Measures
  9. Chapter 3. An Introduction to Nonstandard Analysis and Hyperfinite Probability Theory
  10. Chapter 4. Limit Theorems: Stochastic Matrices, Ergodic Markov Chains, and Measures on Semigroups
  11. Index