
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 I. Real Space Methods II. Finite Size Scaling III. Monte Carlo Methods. Numerical Field Theory
This text investigates the mathematical and conceptual intersection between quantum field theory and the statistical mechanics of critical phenomena. Daniel J. Amit, a physicist with extensive experience in theoretical condensed matter, provides a framework that bridges particle physics and statistical mechanics. The book utilizes a phenomenological approach, prioritizing graph theory and renormalization group techniques over exhaustive formal proofs to facilitate practical application in research and graduate study.
What You Will Find
Scope Limits
Experts frequently cite this work as a foundational text for bridging the gap between statistical mechanics and field theory for graduate students. Readers often note the technical density of the prose, which is designed for those already proficient in advanced physics concepts.
Page Count:
336
Publication Date:
1978-01-01
Publisher:
McGraw Hill
ISBN-10:
0070015759
ISBN-13:
9780070015753
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