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Over the past few decades the powerful methods of statistical physics and Euclidean quantum field theory have moved closer together, with common tools based on the use of path integrals. The interpretation of Euclidean field theories as particular systems of statistical physics has opened up new avenues for understanding strongly coupled quantum systems or quantum field theories at zero or finite temperatures. �
�
Accordingly, the first chapters of this book contain a self-contained introduction to path integrals in Euclidean quantum mechanics and statistical mechanics. The resulting high-dimensional integrals can be estimated with the help of Monte Carlo simulations based on Markov processes. The most commonly used algorithms are presented in detail so as to prepare the reader for the use of high-performance computers as an “experimental” tool for this burgeoning field of theoretical physics.
�
Several chapters are then devoted to an introduction to simple lattice field theories and a variety of spin systems with discrete and continuous spins, where the ubiquitous Ising model serves as an ideal guide for introducing the fascinating area of phase transitions. �As an alternative to the lattice formulation of quantum field theories, variants of the flexible renormalization group methods are discussed in detail. �Since, according to our present-day knowledge, all fundamental interactions in nature are described by gauge theories, the remaining chapters of the book deal with gauge theories without and with matter.
�
This text is based on course-tested notes for graduate students and, as such, its style is essentially pedagogical, requiring only some basics of mathematics, statistical physics, and quantum field theory. Yet it also contains some more sophisticated concepts which may be useful to researchers in the field. �Each chapter ends with a number of problems – guiding the reader to a deeper understanding of some of the material presented in the main text – and, in most cases, also features some listings of short, useful computer programs.
- Sales Rank: #4143179 in Books
- Brand: Brand: Springer
- Published on: 2012-11-07
- Released on: 2012-11-07
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .92" w x 6.10" l, .0 pounds
- Binding: Paperback
- 390 pages
- Used Book in Good Condition
Review
From the reviews:
“This book fills a gap in the literature on non-pertubative aspects of field theories and numerical methods such as Monte Carlo which are usually covered only separately in different books. Providing a new perspective on statistical and quantum field theories, this book is useful for graduate students and researchers within and outside the field. … This book will definitely be a must-read for people who are active in the fields of statistical and quantum field theories.” (Mohammad R. Rahimi Tabar, Mathematical Reviews, October, 2013)
“The book is well written, and pedagogically well-organized. The book has benefited by last-year undergraduate and beginning postgraduate students in physics and applied mathematics. … it also could be useful for researcher in the fields Note that each chapter ends with some problems which help to better understand the material given.” (Farruh Mukhamedov, zbMATH, Vol. 1268, 2013) From the Back Cover
Over the past few decades the powerful methods of statistical physics and Euclidean quantum field theory have moved closer together, with common tools based on the use of path integrals. The interpretation of Euclidean field theories as particular systems of statistical physics has opened up new avenues for understanding strongly coupled quantum systems or quantum field theories at zero or finite temperatures.
Accordingly, the first chapters of this book contain a self-contained introduction to path integrals in Euclidean quantum mechanics and statistical mechanics. The resulting high-dimensional integrals can be estimated with the help of Monte Carlo simulations based on Markov processes. The most commonly used algorithms are presented in detail so as to prepare the reader for the use of high-performance computers as an “experimental” tool for this burgeoning field of theoretical physics.
Several chapters are then devoted to an introduction to simple lattice field theories and a variety of spin systems with discrete and continuous spins, where the ubiquitous Ising model serves as an ideal guide for introducing the fascinating area of phase transitions. As an alternative to the lattice formulation of quantum field theories, variants of the flexible renormalization group methods are discussed in detail. Since, according to our present-day knowledge, all fundamental interactions in nature are described by gauge theories, the remaining chapters of the book deal with gauge theories without and with matter.
This text is based on course-tested notes for graduate students and, as such, its style is essentially pedagogical, requiring only some basics of mathematics, statistical physics, and quantum field theory. Yet it also contains some more sophisticated concepts which may be useful to researchers in the field. Each chapter ends with a number of problems – guiding the reader to a deeper understanding of some of the material presented in the main text – and, in most cases, also features some listings of short, useful computer programs.
Most helpful customer reviews
1 of 1 people found the following review helpful.
A remarkable book
By claudio coriano
This is a very well written book which offers the opportunity to advanced undergraduates and to graduate students in physics in general to be thought on important aspects of quantum field theory from a statistical mechanics perspective.
Professional researchers will surely find it very useful as a reference.
It covers several important applications such as Monte Carlo simulations in quantum mechanics, classical spin models, scalar field theories and several more, illustrating the underlying theory together with its direct implementations.
Those students who are interested in finding a significant guide towards the numerical application of these topics will find it invaluable. A certain familiarity with basic C programming is required.
I will be using the book for a course I will be teaching to advanced undergraduates with a good basic knowledge of statistical mechanics and some familiarity with quantum field theory. It can be used both as a textbook for a course in computational physics for physics graduates or as a book on special topics in quantum field theory. Those researchers who are interested in the implementation of algorithms developed in the context of statistical field theory will be very happy to have such a remarkable book on their shelf as well. I strongly recommend it!
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