A Course on Large Deviations With an Introduction to Gibbs Measures (Graduate Studies in Mathematics)

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9780821875780: A Course on Large Deviations With an Introduction to Gibbs Measures (Graduate Studies in Mathematics)

This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the phase transition of the Ising model, in a text intended for a one semester or quarter course. The book begins with a straightforward approach to the key ideas and results of large deviation theory in the context of independent identically distributed random variables. This includes Cramer's theorem, relative entropy, Sanov's theorem, process level large deviations, convex duality, and change of measure arguments. Dependence is introduced through the interactions potentials of equilibrium statistical mechanics. The phase transition of the Ising model is proved in two different ways: first in the classical way with the Peierls argument, Dobrushin's uniqueness condition, and correlation inequalities and then a second time through the percolation approach. Beyond the large deviations of independent variables and Gibbs measures, later parts of the book treat large deviations of Markov chains, the Gartner-Ellis theorem, and a large deviation theorem of Baxter and Jain that is then applied to a nonstationary process and a random walk in a dynamical random environment. The book has been used with students from mathematics, statistics, engineering, and the sciences and has been written for a broad audience with advanced technical training. Appendixes review basic material from analysis and probability theory and also prove some of the technical results used in the text.

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About the Author:

Firas Rassoul-Agha , University of Utah, Salt Lake City, UT, USA. Timo Seppalainen , University of Wisconsin-Madison, WI, USA.

Review:

It possesses a great value as an introduction for more and more people (students and experienced researchers) to these beautiful and highly active theories, as it is written in a very motivating and fresh style...I think the authors did a very good job to provide a text that can be taken as a base for an interesting and useful lecture without much preparation or as a quick but thorough introduction to this subject. --Wolfgang K÷nig, Jahresbericht der Deutschen Mathematiker-Vereinigung

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Firas Rassoul-Agha, Timo Seppalainen
Editore: American Mathematical Society, United States (2015)
ISBN 10: 0821875787 ISBN 13: 9780821875780
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Descrizione libro American Mathematical Society, United States, 2015. Hardback. Condizione libro: New. Language: English . Brand New Book. This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the phase transition of the Ising model, in a text intended for a one semester or quarter course. The book begins with a straightforward approach to the key ideas and results of large deviation theory in the context of independent identically distributed random variables. This includes Cramer s theorem, relative entropy, Sanov s theorem, process level large deviations, convex duality, and change of measure arguments. Dependence is introduced through the interactions potentials of equilibrium statistical mechanics. The phase transition of the Ising model is proved in two different ways: first in the classical way with the Peierls argument, Dobrushin s uniqueness condition, and correlation inequalities and then a second time through the percolation approach.Beyond the large deviations of independent variables and Gibbs measures, later parts of the book treat large deviations of Markov chains, the Gartner-Ellis theorem, and a large deviation theorem of Baxter and Jain that is then applied to a nonstationary process and a random walk in a dynamical random environment. The book has been used with students from mathematics, statistics, engineering, and the sciences and has been written for a broad audience with advanced technical training. Appendixes review basic material from analysis and probability theory and also prove some of the technical results used in the text. Codice libro della libreria AAN9780821875780

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Descrizione libro American Mathematical Society, 2015. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria CE-9780821875780

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Firas Rassoul-Agha, Timo Seppalainen
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ISBN 10: 0821875787 ISBN 13: 9780821875780
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Descrizione libro American Mathematical Society, United States, 2015. Hardback. Condizione libro: New. Language: English . Brand New Book. This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the phase transition of the Ising model, in a text intended for a one semester or quarter course. The book begins with a straightforward approach to the key ideas and results of large deviation theory in the context of independent identically distributed random variables. This includes Cramer s theorem, relative entropy, Sanov s theorem, process level large deviations, convex duality, and change of measure arguments. Dependence is introduced through the interactions potentials of equilibrium statistical mechanics. The phase transition of the Ising model is proved in two different ways: first in the classical way with the Peierls argument, Dobrushin s uniqueness condition, and correlation inequalities and then a second time through the percolation approach. Beyond the large deviations of independent variables and Gibbs measures, later parts of the book treat large deviations of Markov chains, the Gartner-Ellis theorem, and a large deviation theorem of Baxter and Jain that is then applied to a nonstationary process and a random walk in a dynamical random environment. The book has been used with students from mathematics, statistics, engineering, and the sciences and has been written for a broad audience with advanced technical training. Appendixes review basic material from analysis and probability theory and also prove some of the technical results used in the text. Codice libro della libreria AAN9780821875780

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Firas Rassoul-Agha, Timo Seppalainen
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Descrizione libro American Mathematical Society. Hardback. Condizione libro: new. BRAND NEW, A Course on Large Deviations with an Introduction to Gibbs Measures, Firas Rassoul-Agha, Timo Seppalainen, This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the phase transition of the Ising model, in a text intended for a one semester or quarter course. The book begins with a straightforward approach to the key ideas and results of large deviation theory in the context of independent identically distributed random variables. This includes Cramer's theorem, relative entropy, Sanov's theorem, process level large deviations, convex duality, and change of measure arguments. Dependence is introduced through the interactions potentials of equilibrium statistical mechanics. The phase transition of the Ising model is proved in two different ways: first in the classical way with the Peierls argument, Dobrushin's uniqueness condition, and correlation inequalities and then a second time through the percolation approach. Beyond the large deviations of independent variables and Gibbs measures, later parts of the book treat large deviations of Markov chains, the Gartner-Ellis theorem, and a large deviation theorem of Baxter and Jain that is then applied to a nonstationary process and a random walk in a dynamical random environment. The book has been used with students from mathematics, statistics, engineering, and the sciences and has been written for a broad audience with advanced technical training. Appendixes review basic material from analysis and probability theory and also prove some of the technical results used in the text. Codice libro della libreria B9780821875780

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Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97808218757800000000

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Descrizione libro American Mathematical Society, 2015. Hardcover. Condizione libro: New. book. Codice libro della libreria 0821875787

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Descrizione libro American Mathematical Society, 2015. Condizione libro: New. Series: Graduate Studies in Mathematics. Num Pages: 314 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 263 x 188 x 24. Weight in Grams: 740. . 2015. Hardcover. . . . . . Codice libro della libreria V9780821875780

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Descrizione libro American Mathematical Society, 2015. Condizione libro: New. book. Codice libro della libreria ria9780821875780_rkm

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Descrizione libro Amer Mathematical Society, 2015. Hardcover. Condizione libro: Brand New. 318 pages. 10.00x7.25x1.00 inches. In Stock. Codice libro della libreria __0821875787

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Descrizione libro American Mathematical Society. Condizione libro: New. Series: Graduate Studies in Mathematics. Num Pages: 314 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 263 x 188 x 24. Weight in Grams: 740. . 2015. Hardcover. . . . . Books ship from the US and Ireland. Codice libro della libreria V9780821875780

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