Probability Theory: An Introductory Course
ISBN-13:
9780387533483
ISBN-10:
0387533486
Edition:
0
Author:
Yakov G. Sinai
Publication date:
1992
Publisher:
Springer Verlag
Format:
Paperback
138 pages
Category:
Applied
,
Mathematics
FREE US shipping
Book details
ISBN-13:
9780387533483
ISBN-10:
0387533486
Edition:
0
Author:
Yakov G. Sinai
Publication date:
1992
Publisher:
Springer Verlag
Format:
Paperback
138 pages
Category:
Applied
,
Mathematics
Summary
Probability Theory: An Introductory Course (ISBN-13: 9780387533483 and ISBN-10: 0387533486), written by authors
Yakov G. Sinai, was published by Springer Verlag in 1992.
With an overall rating of 3.7 stars, it's a notable title among other
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(Mathematics) books. You can easily purchase or rent Probability Theory: An Introductory Course (Paperback) from BooksRun,
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Description
Sinai's book leads the student through the standard material for Probability Theory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, based on Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be used by more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.
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