Convergence methods for double sequences and applications
 Responsibility
 M. Mursaleen, S.A. Mohiuddine.
 Language
 English.
 Publication
 New Delhi ; New York : Springer, [2014]
 Copyright notice
 ©2014.
 Physical description
 ix, 171 pages : illustrations ; 24 cm
Access
Creators/Contributors
 Author/Creator
 Mursaleen, M. author.
 Contributor
 Mohiuddine, S. A., author.
Contents/Summary
 Bibliography
 Includes bibliographical references (pages 167171).
 Contents

 Chapter 1: Almost and statistical convergence of ordinary sequences: A preview. Chapter 2: Almost convergence of double sequences. Chapter 3: Almost regular matrices. Chapter 4: Absolute almost convergence of double sequences. Chapter 5: Almost convergence and core theorems. Chapter 6: Application of almost convergence in approximation theorems for functions of two variables. Chapter 7: Statistical convergence of double sequences. Chapter 8: Statistical approximation of positive linear operators. Chapter 9: Double series and convergence tests. References.
 (source: Nielsen Book Data)
 Publisher's Summary
 This book exclusively deals with the study of almost convergence and statistical convergence of double sequences. The notion of "almost convergence" is perhaps the most useful notion in order to obtain a weak limit of a bounded nonconvergent sequence. There is another notion of convergence known as the "statistical convergence", introduced by H. Fast, which is an extension of the usual concept of sequential limits. This concept arises as an example of "convergence in density" which is also studied as a summability method. Even unbounded sequences can be dealt with by using this method. The book also discusses the applications of these nonmatrix methods in approximation theory. Written in a selfcontained style, the book discusses in detail the methods of almost convergence and statistical convergence for double sequences along with applications and suitable examples. The last chapter is devoted to the study convergence of double series and describes various convergence tests analogous to those of single sequences. In addition to applications in approximation theory, the results are expected to find application in many other areas of pure and applied mathematics such as mathematical analysis, probability, fixed point theory and statistics.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2014
 Copyright date
 2014
 ISBN
 8132216105
 9788132216100