A course on large deviations with an introduction to Gibbs measures. Graduate studies in mathematics; Bd. volume 162.

Firas Rassoul-agha; Timp Seppalainen

ISBN 10: 0821875787 / ISBN 13: 9780821875780

Published by Providence, American Mathematical Society, 2015

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02509 9780821875780 Sprache: Englisch Gewicht in Gramm: 1150.

Seller Inventory # 2488374

Bibliographic Details

• Title: A course on large deviations with an introduction to Gibbs measures. Graduate studies in mathematics; Bd. volume 162.
• Publisher: Providence, American Mathematical Society
• Publication Date: 2015
• Language: English
• ISBN 10: 0821875787
• ISBN 13: 9780821875780
• Binding: Hardcover
• Seller catalogs:
  • SA MATHEMATIK

About this title

Synopsis

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.

About the Author

Firas Rassoul-Agha, University of Utah, Salt Lake City, UT, USA.

Timo Seppalainen, University of Wisconsin-Madison, WI, USA.