
Almost Periodic Stochastic Processes
Springer (Publisher)
Published on 1. October 2014
Book
Paperback/Softback
XV, 235 pages
978-1-4939-0166-1 (ISBN)
Description
This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic differential equations, functional differential equations with delay, partial differential equations, and difference equations. It is in part a sequel of authors recent work on almost periodic stochastic difference and differential equations and has the particularity to be the first book that is entirely devoted to almost periodic random processes and their applications. The topics treated in it range from existence, uniqueness, and stability of solutions for abstract stochastic difference and differential equations.
Reviews / Votes
"This book offers a large perspective on almost periodic processes and stochastic equations of various types." (Ciprian A. Tudor, Mathematical Reviews)More details
Edition
2011 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XV, 235 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
388 gr
ISBN-13
978-1-4939-0166-1 (9781493901661)
DOI
10.1007/978-1-4419-9476-9
Schweitzer Classification
Other editions
Additional editions

Paul H. Bezandry | Toka Diagana
Almost Periodic Stochastic Processes
Book
04/2011
1st Edition
Springer
€106.99
Shipment within 15-20 days

Paul H. Bezandry | Toka Diagana
Almost Periodic Stochastic Processes
E-Book
04/2011
1st Edition
Springer
€96.29
Available for download
Content
Preface.-1. Banach and Hilbert Spaces.-2. Bounded and Unbounded Linear Operators.- 3.An Introduction to Stochastic Differential Equations.-4.
P
-th Mean Almost Periodic Random Functions.-5. Existence Results for Some Stochastic Differential Equations.-6. Existence Results for Some Partial Stochastic Differential Equations.-7.Existence Results for Some Second-Order Stochastic Differential Equations.-8. Mean Almost Periodic Random Sequences and Their Applications to Stochastic Difference Equations.-References.-Index.