Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de biblioth�que avec signature et cachet. BON �tat, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 SIN 9783540533481 Sprache: Englisch Gewicht in Gramm: 250.

Bestandsnummer des Verk�ufers 2509456

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Bibliografische Details

Titel

Probability theory an introductory course Yakov G. Sinai .

Verlag

Berlin, Springer [1992].

Erscheinungsjahr

1992

Sprache

Englisch

ISBN-10

3540533486

ISBN-13

9783540533481

Einband

Softcover

Verk�uferkataloge

SA MATHEMATIK

�ber diesen Titel

Inhaltsangabe

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.

Rese�a del editor

Sinai's book leads the student through the standard material for ProbabilityTheory, 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, basedon 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 usedby more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.

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