Statistical Independence in Probability, Analysis, and Number Theory

Author:   Mark Kac
Publisher:   American Mathematical Society
ISBN:  

9781470485542


Pages:   94
Publication Date:   30 April 1959
Format:   Paperback
Availability:   In Print   Availability explained
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Statistical Independence in Probability, Analysis, and Number Theory


Overview

Professor Kac's monograph is designed to illustrate how simple observations can be made the starting point of rich and fruitful theories and how the same theme recurs in seemingly unrelated disciplines. An elementary but thorough discussion of the game of """"heads or tails,"""" including the normal law and the laws of large numbers, is presented in a setting in which a variety of purely analytic results appear natural and inevitable. The chapter """"Primes Play a Game of Chance"""" uses the same setting in dealing with problems of the distribution of values of arithmetic functions. The final chapter """"From Kinetic Theory to Continued Fractions"""" deals with a spectacular application of the ergodic theorems to continued fractions. Mark Kac conveyed his infectious enthusiasm for mathematics and its applications in his lectures, papers, and books. Two of his papers won Chauvenet awards for expository excellence.

Full Product Details

Author:   Mark Kac
Publisher:   American Mathematical Society
Imprint:   American Mathematical Society
Weight:   0.094kg
ISBN:  

9781470485542


ISBN 10:   1470485540
Pages:   94
Publication Date:   30 April 1959
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1. From Vieta to the notion of statistical independence Chapter 2. Borel and after Chapter 3. The normal law Chapter 4. Primes play a game of chance Chapter 5. From kinetic theory to continued fractions

Reviews

Terrific, friendly and profound. -- Persi Diaconis This is a splendid book. It ranges from the primitive idea of statistical independence to applications of the most diverse sort: coin-tossing, anharmonic oscillations, prime numbers, and continued fractions. And it does all that with Kac's customary clarity and charm. Every friend of probability should have it."""" — Henry McKeon


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