Fourier Analysis in Probability Theory
eBook - PDF

Fourier Analysis in Probability Theory

  1. 680 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Fourier Analysis in Probability Theory

About this book

Fourier Analysis in Probability Theory provides useful results from the theories of Fourier series, Fourier transforms, Laplace transforms, and other related studies. This 14-chapter work highlights the clarification of the interactions and analogies among these theories. Chapters 1 to 8 present the elements of classical Fourier analysis, in the context of their applications to probability theory. Chapters 9 to 14 are devoted to basic results from the theory of characteristic functions of probability distributors, the convergence of distribution functions in terms of characteristic functions, and series of independent random variables. This book will be of value to mathematicians, engineers, teachers, and students.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Fourier Analysis in Probability Theory by Tatsuo Kawata, Z. W. Birnbaum,E. Lukacs in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Fourier Analysis in Probability Theory
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter I. Introduction
  7. Chapter Il. Fourier Series and Fourier Transforms
  8. Chapter Ill. Fourier–Stieltjes Coefficients, Fourier–Stieltjes Transforms and Characteristic Functions
  9. Chapter IV. Convergence and Summability Theorems
  10. Chapter V. General Convergence Theorems
  11. Chapter VI. L2-Theory of Fourier Series and Fourier Transforms
  12. Chapter VII. Laplace and Mellin Transforms
  13. Chapter VIII. More Theorems on Fourier and Laplace Transforms
  14. Chapter IX. Convergence of Distribution Functions and Characteristic Functions
  15. Chapter X. Some Properties of Characteristic Functions
  16. Chapter XI. Distribution Functions and Their Characteristic Functions
  17. Chapter XII. Convergence of Series of Independent Random Variables
  18. Chapter XIII. Properties of Sums of Independent Random Variables; Convergence of Series in the Mean
  19. Chapter XIV. Some Special Series of Random Variables
  20. References
  21. Index