Advances in Summability and Approximation Theory (eBook, PDF)
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This book discusses the Tauberian conditions under which convergence follows from statistical summability, various linear positive operators, Urysohn-type nonlinear Bernstein operators and also presents the use of Banach sequence spaces in the theory of infinite systems of differential equations. It also includes the generalization of linear positive operators in post-quantum calculus, which is one of the currently active areas of research in approximation theory. Presenting original papers by internationally recognized authors, the book is of interest to a wide range of mathematicians whose…mehr

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Produktbeschreibung
This book discusses the Tauberian conditions under which convergence follows from statistical summability, various linear positive operators, Urysohn-type nonlinear Bernstein operators and also presents the use of Banach sequence spaces in the theory of infinite systems of differential equations. It also includes the generalization of linear positive operators in post-quantum calculus, which is one of the currently active areas of research in approximation theory. Presenting original papers by internationally recognized authors, the book is of interest to a wide range of mathematicians whose research areas include summability and approximation theory.

One of the most active areas of research in summability theory is the concept of statistical convergence, which is a generalization of the familiar and widely investigated concept of convergence of real and complex sequences, and it has been used in Fourier analysis, probability theory, approximation theory and inother branches of mathematics. The theory of approximation deals with how functions can best be approximated with simpler functions. In the study of approximation of functions by linear positive operators, Bernstein polynomials play a highly significant role due to their simple and useful structure. And, during the last few decades, different types of research have been dedicated to improving the rate of convergence and decreasing the error of approximation.

Autorenporträt
S. A. MOHIUDDINE is Full Professor of Mathematics at King Abdulaziz University, Jeddah, Saudi Arabia. An active researcher, Professor Mohiuddine has coauthored one book, Convergence Methods for Double Sequences and Applications (Springer, 2014), and a number of book chapters, and has contributed over 120 research papers to various leading journals. He is a referee for several scientific journals and on the editorial board of numerous scientific journals, international scientific bodies and organizing committees. He has visited several international universities including Imperial College, London, UK. Professor Mohiuddine was a guest editor of a number of special issues for Abstract and Applied Analysis, Journal of Function Spaces and Scientific World Journal. His main research interests are in the field of functional analysis, sequence spaces, statistical convergence, matrix transformation, measures of noncompactness and approximation theory.

TUNCER ACAR is Associate Professor at the Department of Mathematics, Faculty of Science, Selçuk University, Turkey. He previously worked at the Department of Mathematics and Statistics, the University of Alberta, Canada, as a visiting scholar in 2013 and 2014. He joined the Department of Mathematics, Faculty of Science, Kirikkale University, as a research assistant in 2009. He received his Master of Science degree in 2011, and Ph.D. degree in 2015, from the same university. Born in Amasya, Turkey, in 1985, Dr Acar is graduated from Ataturk University, in 2008. He has studied approximation by linear positive operators and published about 40 papers.