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Item Details
Title: PROBABILITY THEORY
AN INTRODUCTORY COURSE
By: Ya G. Sinai, D. Haughton (Trans)
Format: Paperback

List price: £44.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3540533486
ISBN 13: 9783540533481
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 31 August, 1992
Series: Springer Textbook S.
Pages: 148
Translated from: Russian
Description: Gives an introduction to probability theory for students who have some experience from university-level mathematics. This book also includes special topics, such as percolation and statistical mechanics, which are direct applications of the theory. It is used for reading in conjunction with a second or third year course in probability theory.
Synopsis: Sinai's book leads the student through the standard materialfor ProbabilityTheory, with stops along the way forinteresting topics such as statistical mechanics, notusually included in a book for beginners.The first part of the book covers discrete random variables,using the same approach, basedon Kolmogorov's axioms forprobability, used later for the general case.The text is divided into sixteen lectures, each covering amajor topic. The introductory notions and classical resultsare included, of course: random variables, the central limittheorem, 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, lesscommon topics found in the book are: percolation, theconcept of stability in the central limit theorem and thestudy of probability of large deviations.Little more than a standard undergraduate course in analysisis assumed of the reader. Notions from measure theory andLebesgue integration are introduced in the second half ofthe text.The book is suitable for second or third year students inmathematics, physics or other natural sciences.It couldalso be usedby more advanced readers who want to learn themathematics of probability theory and some of itsapplications in statistical physics.
Illustrations: 14 figs.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Non-returnable
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