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The Self-Avoiding Walk

✍ Scribed by Neal Madras, Gordon Slade (auth.)


Publisher
BirkhΓ€user Basel
Year
1996
Tongue
English
Leaves
433
Series
Probability and Its Applications
Edition
1
Category
Library

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✦ Synopsis


A self-avoiding walk is a path on a lattice that does not visit the same site more than once. In spite of this simple definition, many of the most basic questions about this model are difficult to resolve in a mathematically rigorous fashion. In particular, we do not know much about how far an nΒ­ step self-avoiding walk typically travels from its starting point, or even how many such walks there are. These and other important questions about the self-avoiding walk remain unsolved in the rigorous mathematical sense, although the physics and chemistry communities have reached consensus on the answers by a variety of nonrigorous methods, including computer simulations. But there has been progress among mathematicians as well, much of it in the last decade, and the primary goal of this book is to give an account of the current state of the art as far as rigorous results are concerned. A second goal of this book is to discuss some of the applications of the self-avoiding walk in physics and chemistry, and to describe some of the nonrigorous methods used in those fields. The model originated in chemΒ­ istry several decades ago as a model for long-chain polymer molecules. Since then it has become an important model in statistical physics, as it exhibits critical behaviour analogous to that occurring in the Ising model and related systems such as percolation.

✦ Table of Contents


Front Matter....Pages i-xiv
Introduction....Pages 1-33
Scaling, polymers and spins....Pages 35-55
Some combinatorial bounds....Pages 57-76
Decay of the two-point function....Pages 77-117
The lace expansion....Pages 119-169
Above four dimensions....Pages 171-228
Pattern theorems....Pages 229-255
Polygons, slabs, bridges and knots....Pages 257-279
Analysis of Monte Carlo methods....Pages 281-364
Related topics....Pages 365-374
Back Matter....Pages 375-425

✦ Subjects


Probability Theory and Stochastic Processes


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