Moments of Linear Positive Operators and Approximation

  • Vijay Gupta
  • Michael Th. Rassias

Part of the SpringerBriefs in Mathematics book series (BRIEFSMATH)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Vijay Gupta, Michael Th. Rassias
    Pages 1-24
  3. Vijay Gupta, Michael Th. Rassias
    Pages 25-60
  4. Vijay Gupta, Michael Th. Rassias
    Pages 61-89
  5. Back Matter
    Pages 91-96

About this book


This book is a valuable resource for Graduate students and researchers interested in current techniques and methods within the theory of moments in linear positive operators and approximation theory. Moments are essential to the convergence of a sequence of linear positive operators. Several methods are examined to determine moments including direct calculations, recurrence relations, and the application of hypergeometric series. A collection of operators in the theory of approximation are investigated through their moments and a variety of results are surveyed with fundamental theories and recent developments. Detailed examples are included to assist readers understand vital theories and potential applications. 


linear positive operators direct calculations hypergeometric series recurrence relations determining moments

Authors and affiliations

  • Vijay Gupta
    • 1
  • Michael Th. Rassias
    • 2
  1. 1.Department of MathematicsNetaji Subhas University of TechnologyNew DelhiIndia
  2. 2.Institute of MathematicsUniversity of ZürichZürichSwitzerland

Bibliographic information

  • DOI
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-030-19454-3
  • Online ISBN 978-3-030-19455-0
  • Series Print ISSN 2191-8198
  • Series Online ISSN 2191-8201
  • Buy this book on publisher's site
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