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The Self-avoiding Walk Is A Classical Model In Statistical Mechanics, Probability Theory And Mathematical Physics. It Is Also A Simple Model Of Polymer Entropy Which Is Useful In Modelling Phase Behaviour In Polymers. This Monograph Provides An Authoritative Examination Of Interacting Self-avoiding Walks, Presenting Aspects Of The Thermodynamic Limit, Phase Behaviour, Scaling And Critical Exponents For Lattice Polygons, Lattice Animals And Surfaces. It Also Includes A Comprehensive Account Of Constructive Methods In Models Of Adsorbing, Collapsing, And Pulled Walks, Animals And Networks, And For Models Of Walks In Confined Geometries. Additional Topics Include Scaling, Knotting In Lattice Polygons, Generating Function Methods For Directed Models Of Walks And Polygons, And An Introduction To The Edwards Model. This Essential Second Edition Includes Recent Breakthroughs In The Field, As Well As Maintaining The Older But Still Relevant Topics. New Chapters Include An Expanded Presentation Of Directed Models, An Exploration Of Methods And Results For The Hexagonal Lattice, And A Chapter Devoted To The Monte Carlo Methods.
This monograph investigates the mathematical properties and thermodynamic behavior of interacting self-avoiding walks, polygons, animals, and vesicles within the framework of statistical mechanics. E. J. Janse van Rensburg, a specialist in the field, synthesizes complex probabilistic models and lattice-based physics to describe polymer entropy and phase transitions. The text provides a rigorous analytical approach to scaling, critical exponents, and constructive methods for modeling polymers in various physical states and confined geometries.
What You Will Find
Scope Limits
Experts recognize this monograph as a comprehensive reference for researchers and graduate students working in mathematical physics and polymer science. Readers frequently note the high level of technical density and the rigorous mathematical formalism required to navigate the presented proofs and derivations.
Page Count:
640
Publication Date:
2015-01-01
Publisher:
Oup Oxford
ISBN-10:
0191644668
ISBN-13:
9780191644665
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