Probability on Graphs: Random Processes on Graphs and Lattices / Edition 2

by Geoffrey Grimmett

Overview

This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ferromagnetism, and the Lorentz model for motion in a random medium. This new edition features accounts of major recent progress, including the exact value of the connective constant of the hexagonal lattice, and the critical point of the random-cluster model on the square lattice. The choice of topics is strongly motivated by modern applications, and focuses on areas that merit further research. Accessible to a wide audience of mathematicians and physicists, this book can be used as a graduate course text. Each chapter ends with a range of exercises.

Product Details

ISBN-13:	9781108438179
Publisher:	Cambridge University Press
Publication date:	01/25/2018
Series:	Institute of Mathematical Statistics Textbooks , #8
Edition description:	Reprint
Pages:	276
Product dimensions:	5.94(w) x 8.98(h) x 0.59(d)

About the Author

Geoffrey Grimmett is Professor of Mathematical Statistics in the Statistical Laboratory at the University of Cambridge. He has written numerous research articles in probability theory, as well as popular research books on percolation and the random-cluster model. In addition, he is a co-author, along with David Stirzaker and Dominic Welsh, of two successful textbooks on probability and random processes at the undergraduate and postgraduate levels. He has served as Master of Downing College since 2013 and was elected to the Royal Society in 2014.

Table of Contents

Preface; 1. Random walks on graphs; 2. Uniform spanning tree; 3. Percolation and self-avoiding walk; 4. Association and influence; 5. Further percolation; 6. Contact process; 7. Gibbs states; 8. Random-cluster model; 9. Quantum Ising model; 10. Interacting particle systems; 11. Random graphs; 12. Lorentz gas; References; Index.

Editorial Reviews

"The book under review serves admirably for this “getting started” purpose. It provides a rigorous introduction to a broad range of topics centered on the percolation-IPS field discussed above... This book, like a typical Part III course, requires only undergraduate background knowledge but assumes a higher level of general mathematical sophistication. It also requires active engagement by the reader. As I often tell students, “Mathematics is not a spectator sport — you learn by actually doing the exercises!” For the reader who is willing to engage the material and is not fazed by the fact that some proofs are only outlined or are omitted, this style enables the author to cover a lot of ground in 247 pages."
David Aldous, Bulletin of the American Mathematical Society

"It is written in a condensed style with only the briefest of introductions or motivations, but it is a mine of information for those who are well prepared and know how to use it. It formed the basis for a Probability reading group at the University of Warwick last term and was well received, and parts of it are being used by a colleague for an undergraduate module this term on Probability and Discrete Mathematics."
R.S. MacKay, Contemporary Physics

'This is clearly a successful advanced textbook.' Fernando Q. Gouvêa, MAA Reviews

From the Publisher