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Operator Theory and Harmonic Analysis

OTHA 2020, Part II – Probability-Analytical Models, Methods and Applications

  • Conference proceedings
  • © 2021

Overview

  • Introduces new results in methods, problems and applications of operator theory and harmonic analysis by leading researchers
  • Presents the fundamentals of theory followed by recent developments in PDE’s, mathematical modelling, bioinformatics, and a discussion of real-world problems
  • Focuses on the very new trends in operator theory and function spaces theory, such as variable exponent spaces and objects of variable nature

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 358)

Included in the following conference series:

Conference proceedings info: OTHA 2020.

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Table of contents (22 papers)

Other volumes

  1. Operator Theory and Harmonic Analysis

  2. Operator Theory and Harmonic Analysis

Keywords

About this book

This volume is part of the collaboration agreement between Springer and the ISAAC society.

This is the second in the two-volume series originating from the 2020 activities within the international scientific conference "Modern Methods, Problems and Applications of Operator Theory and Harmonic Analysis" (OTHA), Southern Federal University, Rostov-on-Don, Russia. This volume focuses on mathematical methods and applications of probability and statistics in the context of general harmonic analysis and its numerous applications. The two volumes cover new trends and advances in several very important fields of mathematics, developed intensively over the last decade. The relevance of this topic is related to the study of complex multi-parameter objects required when considering operators and objects with variable parameters.


Editors and Affiliations

  • Institute of Mathematics, Mechanic and Computer Sciences and Regional Mathematical Center, Southern Federal University, Rostov-on-Don, Russia

    Alexey N. Karapetyants

  • Department of Higher Mathematics, Don State Technical University, Rostov-on-Don, Russia

    Igor V. Pavlov

  • Steklov Mathematical Institute, Russian Academy of Sciences, Moscow, Russia

    Albert N. Shiryaev

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