Stochastic Models, Information Theory, and Lie Groups, Volume 1: Classical Results and Geometric Methods

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The subjects of stochastic processes, information theory, and Lie groups are usually treated separately from each other. This unique two-volume set presents these topics in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena.

Volume 1 establishes the geometric and statistical foundations required to understand the fundamentals of continuous-time stochastic processes, differential geometry, and the probabilistic foundations of information theory. Volume 2 delves deeper into relationships between these topics, including stochastic geometry, geometric aspects of the theory of communications and coding, multivariate statistical analysis, and error propagation on Lie groups.

Key features and topics of Volume 1:

* The author reviews stochastic processes and basic differential geometry in an accessible way for applied mathematicians, scientists, and engineers.

* Extensive exercises and motivating examples make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.

* The concept of Lie groups as continuous sets of symmetry operations is introduced.

* The Fokker–Planck Equation for diffusion processes in Euclidean space and on differentiable manifolds is derived in a way that can be understood by nonspecialists.

* The concrete presentation style makes it easy for readers to obtain numerical solutions for their own problems; the emphasis is on how to calculate quantities rather than how to prove theorems.

* A self-contained appendix provides a comprehensive review of concepts from linear algebra, multivariate calculus, and systems of ordinary differential equations.

Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering.

Author(s): Gregory S. Chirikjian (auth.)
Series: Applied and Numerical Harmonic Analysis
Edition: 1
Publisher: Birkhäuser Basel
Year: 2009

Language: English
Pages: 383
Tags: Applications of Mathematics;Appl.Mathematics/Computational Methods of Engineering;Abstract Harmonic Analysis;Probability Theory and Stochastic Processes;Group Theory and Generalizations;Mathematical Methods in Physics

Front Matter....Pages 1-19
Introduction....Pages 1-29
Gaussian Distributions and the Heat Equation....Pages 31-61
Probability and Information Theory....Pages 63-99
Stochastic Differential Equations....Pages 101-139
Geometry of Curves and Surfaces....Pages 141-192
Differential Forms....Pages 193-232
Polytopes and Manifolds....Pages 233-288
Stochastic Processes on Manifolds....Pages 289-311
Summary....Pages 313-314
Back Matter....Pages 1-67