Statistical Field Theory
Volume 2. Strong Coupling, Monte Carlo Methods, Conformal Field Theory and Random Systems
$98.00 (P)
Part of Cambridge Monographs on Mathematical Physics
- Authors:
- Claude Itzykson, Centre Commissariat à l'Energie Atomique (CEA), Saclay
- Jean-Michel Drouffe, Centre Commissariat à l'Energie Atomique (CEA), Saclay
- Date Published: March 1991
- availability: Available
- format: Paperback
- isbn: 9780521408066
$
98.00
(P)
Paperback
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The second volume covers diverse topics, including strong coupling expansions and their analysis, Monte Carlo simulations, two-dimensional conformal field theory, and simple disordered systems. The book concludes with a chapter on random geometry and the Polyakov model of random surfaces, which illustrates the relations between string theory and statistical physics.
Read more- This is an extremely topical book, with high sales potential (as already proved by sales of hardcover)
- Itzykson is the author of the best selling quantum field theory book of all time (Itzykson and Zhuber: Quantum Field Theory, McGraw Hill, 1980)
Reviews & endorsements
"Considérant la qualité du matériel et de la présentation, je trouve le prix excellent et je ne peux que recommander l'achat de ces deux bouquins." Physics in Canada
See more reviews"I strongly recommend these two volumes to anyone from intermediate graduate students to active experienced researchers to aging veterans who need to be reminded of or learn for the first time the broad conceptual framework underlying the many current applications of field theoretic methods." Paul Ginsparg, Foundations of Physics
"...a useful addition to a personal or an institutional library at a modest cost." C. A. Hurst, Mathematical Reviews
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×Product details
- Date Published: March 1991
- format: Paperback
- isbn: 9780521408066
- length: 432 pages
- dimensions: 228 x 153 x 20 mm
- weight: 0.63kg
- availability: Available
Table of Contents
1. Diagrammatic methods
2. Numerical simulations
3. Conformal invariance
4. Disordered systems and Fermionic methods
5. Random geometry.
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