Foundations of the Theory of Probability Second English Edition

This famous little book was first published in German in 1933 and in Russian a few years later, setting forth the axiomatic foundations of modern probability theory and cementing the author's reputation as a leading authority in the field. The distinguished Russian mathematician A. N. Kolmogorov wrote this foundational text, and it remains important both to students beginning a serious study of the topic and to historians of modern mathematics.
Suitable as a text for advanced undergraduates and graduate students in mathematics, the treatment begins with an introduction to the elementary theory of probability and infinite probability fields. Subsequent chapters explore random variables, mathematical expectations, and conditional probabilities and mathematical expectations. The book concludes with a chapter on the law of large numbers, an Appendix on zero-or-one in the theory of probability, and detailed bibliographies.

A. N. (Andreĭ Nikolaevich) Kolmogorov (1903–87) was a prominent Russian mathematician who made significant contributions to many areas of math, including probability theory, topology, logic, turbulence, and mechanics. His other Dover books are Introductory Real Analysis, Elements of the Theory of Functions and Functional Analysis (with S.V. Fomin), and Mathematics, Its Content, Methods and Meaning (with A. D. Aleksandrov and M. A. Lavrent'ev). In his many years on the faculty of Moscow State University, Dr. Kolmogorv's doctoral students included several who became prominent 20th-century mathematicians.

Table of Contents:
Editor's Note
Preface
1. Elementary Theory of Probability
2. Infinite Probability Fields
3. Random Variables
4. Mathematical Expectations
5. Conditional Probabilities and Mathematical Expectations
6. Independence: The Law of Large Numbers
Appendix
Bibliography
Notes to Supplementary Bibliography
Supplementary Bibliography