by Daniel J Amit (Hebrew University, Israel & Universita di Roma, La Sapienza, Italy) & Victor Martin Mayor (Universidad Complutense de Madrid, Spain)

FIELD THEORY, THE RENORMALIZATION GROUP AND CRITICAL PHENOMENA Graphs to Computers (3rd Edition)

This volume links field theory methods and concepts from particle physics with those in critical phenomena and statistical mechanics, the development starting from the latter point of view. Rigor and lengthy proofs are trimmed by using the phenomenological framework of graphs, power counting, etc., and field theoretic methods with emphasis on renormalization group techniques. Non-perturbative methods and numerical simulations are introduced in this new edition. Abundant references to research literature complement this matter-of-fact approach. The book introduces quantum field theory to those already grounded in the concepts of statistical mechanics and advanced quantum theory, with sufficient exercises in each chapter for use as a textbook in a one-semester graduate course.
The following new chapters are included:

I. Real Space Methods
II. Finite Size Scaling
III. Monte Carlo Methods. Numerical Field Theory

Contents:

Pertinent Concepts and Ideas in the Theory of Critical Phenomena
Formulation of the Problem of Phase Transitions in Terms of Functional Integrals
Functional Integrals in Quantum Field Theory
Perturbation Theory and Feynman Graphs
Vertex Functions and Symmetry Breaking
Expansions in the Number of Loops and Components
Renormalization
The Renormalization Group and Scaling the Critical Region
The Computation of the Critical Exponents
Beyond Leading Scaling
Universality Revisited
Critical Behavior with Several Couplings
Crossover Phenomena
Critical Phenomena near Two Dimensions
Real Space Methods
Finite Size Scaling
Monte Carlo Methods. Numerical Field Theory

Readership: Students and researchers in high energy physics, computational physics, condensed matter physics, computational chemistry and theoretical chemistry.

Reviews of the 2nd Edition

gRecommended as the core text for any introductory course on field theory.h

American Scientists (USA)

gThere are only very few textbooks on the intermediate level, and the first edition of Amit's work has been a very useful one. The second edition with a detailed exposition on finite size scaling, universality and the critical behavior with several coupling constants promises to be a valuable tool in the library of many physicists.h

Journal of Applied Mathematics and Physics, Switzerland

600pp (approx.) Pub. date: Scheduled Summer 2005
ISBN 981-256-109-9
ISBN 981-256-119-6(pbk)

edited by Jorge A Calvo (Ave Maria University, USA), Kenneth C Millett (University of California, Santa Barbara, USA), Eric J Rawdon (Duquesne University, USA) & Andrzej Stasiak (Universite de Lausanne, Switzerland)

PHYSICAL AND NUMERICAL MODELS IN KNOT THEORY
Including Applications to the Life Sciences

Series on Knots and Everything

The physical properties of knotted and linked configurations in space have been of interest to physicists and mathematicians for a long time. More recently and more widely, they have become interesting to biologists and physicists, and to engineers among others. The depth of importance and breadth of application are now widely appreciated.
In this volume, there are several contributions from researchers who are using computers to study problems that would otherwise be intractable. While computations have long been used to analyze problems, formulate conjectures, and search for special structures in knot theory, increased computational power has made them a staple in many facets of the field. From properties of knot invariants, to knot tabulation, studies of hyperbolic structures, knot energies, and the exploration of spaces of knots, computers have opened the doors to problems that would have otherwise been too difficult to do by hand computation. There are also contributions concentrating on models that researchers use to understand knotting, linking, and entanglement in physical and biological systems. Topics range from knotted umbilical cords, to studies of DNA knots and knots in proteins to the structure of tight knots.

Contents:

Physical Knot Theory:
Universal Energy Spectrum of Tight Knots and Links in Physics (R Buniy & T Kephart)
Biarcs, Global Radius of Curvature, and the Computation of Ideal Knot Shapes (M Carlen et al.)
A Tutorial on Knot Energies (E J J van Rensburg)
Knot Theory in the Life Sciences:
Folding Complexity in a Random-Walk Copolymer Model (G Arteca)
Protein Folds, Knots and Tangles (W Taylor)
Monte Carlo Simulations of Gel-Electrophoresis of DNA Knots (C Weber et al.)
Knotted Umbilical Cords (A Goriely)
Computational Knot Theory:
Ropelength of Tight Polygonal Knots (J Baranska et al.)
Topological Entropic Force Between a Pair of Random Knots Forming a Fixed Link (T Deguchi)
Universal Characteristics of Polygonal Knot Probabilities (K Millett & E Rawdon)
Geometric Knot Theory:
Quadrisecants of Knots with Small Crossing Number (G T Jin)
Minimal Flat Knotted Ribbons (L Kauffman)
Conjectures on the Enumeration of Alternating Links (P Zinn-Justin)
and other papers

Readership: Researchers in geometry, topology, numerical & computational mathematics, molecular biology and physics, and medical doctors.

530pp (approx.) Pub. date: Scheduled Fall 2005
ISBN 981-256-187-0

by Pang Xiao-Feng (University of Electronic Science and Technology of China, China) & Feng Yuan-Ping (National University of Singapore, Singapore)

QUANTUM MECHANICS IN NONLINEAR SYSTEMS

In the history of physics and science, quantum mechanics has served as the foundation of modern science. This book discusses the properties of microscopic particles in nonlinear systems, principles of the nonlinear quantum mechanical theory, and its applications in condensed matter, polymers and biological systems.
The book is essentially composed of three parts. The first part presents a review of linear quantum mechanics, as well as theoretical and experimental fundamentals that establish the nonlinear quantum mechanical theory. The theory itself and its essential features are covered in the second part. In the final part, extensive applications of this theory in physics, biology and polymer are introduced. The whole volume forms a complete system of nonlinear quantum mechanics.

The book is intended for researchers, graduate students as well as upper-level undergraduates.

Contents:

Linear Quantum Mechanics (LQM): Its Successes and Problems
Macroscopic Quantum Effects and Properties of Motion of Quasiparticles
The Fundamental Principles and Theories of Nonlinear Quantum Mechanics
Wave-Corpuscle Duality of Microscopic Particles (MIP) in the NLQM
Nonlinear Interaction and Localization of the MIP
Nonlinear Versus Linear Quantum Mechanics
The Problems Solving in the NLQM
Properties and States of the MIP in Different Nonlinear Systems
Nonlinearly Quantum-Mechanical Properties of the Excitons and Phonons
Properties of Nonlinear Excitations and Motions for Protons, Polarons and Magnons in Different Systems

Readership: Graduates and researchers in the fields of nonlinear science, quantum, theoretical and condensed matter physics.

650pp (approx.) Pub. date: Scheduled Summer 2005
ISBN 981-256-116-1
ISBN 981-256-299-0(pbk)


Yousuke Ohyama (Osaka University, Japan)

ALGEBRAIC ANALYSIS ON PAINLEVE EQUATIONS

In the past three decades, studies on the Painleve equations have rapidly developed through the efforts of many researchers in various fields. The Painleve equations have numerous applications to differential geometry, probability theory, soliton theory, topological field theory, and others. In the past ten years, the Painleve equations have been studied not only by analytic methods, but also by algebraic methods, such as rational algebraic surfaces, differential Galois theory, the affine Weyl groups, and representation theory.
This book serves as a guide to algebraic studies on the Painleve equations and as an introduction to non-specialists. The book aims to be self-contained by presenting complete proofs of the theorems.

Contents:

Nonlinear Differential Equations with No Movable Singularities
Isomonodromy Deformations
Initial Value Spaces
Backlund Transformations
Ą Functions and Bilinear Equations
Irreducibility
Special Solutions
Discrete Painleve Equations
Noumi?Yamada Systems (Dressing Chain)

Readership: Graduates and researchers in analysis and differential equations, and mathematical physics.

350pp (approx.) Pub. date: Scheduled Fall 2005
ISBN 981-256-194-3

edited by Masahito Hayashi (Japan Science and Technology Agency & University of Tokyo)

ASYMPTOTIC THEORY OF QUANTUM STATISTICAL INFERENCE
Selected Papers

Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has made remarkable progress since 1990. In particular, its asymptotic theory has been developed during this period. However, there has hitherto been no book covering this remarkable progress after 1990; the famous textbooks by Holevo and Helstrom deal only with research results in the earlier stage (1960s?1970s).
This book presents the important and recent results of quantum statistical inference. It focuses on the asymptotic theory, which is one of the central issues of mathematical statistics and had not been investigated in quantum statistical inference until the early 1980s. It contains outstanding papers after Holevofs textbook, some of which are of great importance but are not available now.

The reader is expected to have only elementary mathematical knowledge, and therefore much of the content will be accessible to graduate students as well as research workers in related fields. Introductions to quantum statistical inference have been specially written for the book. Asymptotic Theory of Quantum Statistical Inference: Selected Papers will give the reader a new insight into physics and statistical inference.

Contents:

Hypothesis Testing
Quantum Cramer-Rao Bound in Mixed States Model
Quantum Cramer-Rao Bound in Pure States Model
Group Symmetric Approach to Pure States Model
Large Deviation Theory in Quantum Estimation
Futher Topics on Quantum Statistical Inference

Readership: Graduate students in quantum physics, mathematical physics, and probability and statistics.

560pp Pub. date: Feb 2005
ISBN 981-256-015-7

Cox, David A., Little, John, O'Shea, Donal

Using Algebraic Geometry,2nd ed.

Series: Graduate Texts in Mathematics, Vol. 185

2005, X, 592 p. 24 illus.,
ISBN: 0-387-20706-6/ Hardcover
ISBN: 0-387-20733-3/ Softcover

About this textbook

For this new edition the authors added two new sections and a new chapter, updated the references and made numerous minor improvements throughout the text.

In recent years, the discovery of new algorithms for dealing with polynomial equations, coupled with their implementation on fast inexpensive computers, has sparked a minor revolution in the study and practice of algebraic geometry. These algorithmic methods have also given rise to some exciting new applications of algebraic geometry. This book illustrates the many uses of algebraic geometry, highlighting some of the more recent applications of Grobner bases and resultants. In order to do this, the authors provide an introduction to some algebraic objects and techniques which are more advanced than one typically encounters in a first course, but nonetheless of great utility. The book is written for nonspecialists and for readers with a diverse range of backgrounds. It assumes knowledge of the material covered in a standard undergraduate course in abstract algebra, and it would help to have some previous exposure to Grobner bases. The book does not assume the reader is familiar with more advanced concepts such as modules. For this new edition the authors added two new sections and a new chapter, updated the references and made numerous minor improvements throughout the text.

Table of contents

Introduction.- Solving Polynomial Equations.- Resultants.- Computation in Local Rings.- Modules.- Free Resolutions.- Polytopes, Resultants and Equations.- Integer Programming, Combinatorics and Splines.- Algebraic Coding Theory.- The Berlekamp-Massey-Sakata Decoding Algorithm.