Statistical Field Theory

Download Statistical Field Theory PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Field Theory book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Introduction to Statistical Field Theory

Author: Edouard Brézin
language: en
Publisher: Cambridge University Press
Release Date: 2010-07-22
Knowledge of the renormalization group and field theory is a key part of physics, and is essential in condensed matter and particle physics. Written for advanced undergraduate and beginning graduate students, this textbook provides a concise introduction to this subject. The textbook deals directly with the loop expansion of the free energy, also known as the background field method. This is a powerful method, especially when dealing with symmetries, and statistical mechanics. In focussing on free energy, the author avoids long developments on field theory techniques. The necessity of renormalization then follows.
Statistical Field Theory

Author: G. Mussardo
language: en
Publisher: Oxford University Press, USA
Release Date: 2010
A thorough and pedagogical introduction to phase transitions and exactly solved models in statistical physics and quantum field theory.
Statistical Field Theory for Neural Networks

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.