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Methods in Statistical Mechanics by Osvaldo Civitarese
Methods in Statistical Mechanics by Osvaldo Civitarese
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Methods in Statistical Mechanics

A Modern View
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Description

This book presents a variety of techniques for tackling phenomena that are not amenable to the conventional approach based on the concept of probabilities. The methods described rely on the use of path integration, thermal Green functions, time-temperature propagators, Liouville operators, second quantization, and field correlators at finite density and temperature. Also exploring the statistical mechanics of unstable quantum systems, the book is intended as a supplementary or reference text for use in one-semester graduate courses on Quantum Mechanics, Thermodynamics, Electromagnetism, and Mathematical Methods in Physics. 

Author Biography:

Dr. Osvaldo Civitarese is an Emeritus Professor of Theoretical Physics at the University of La Plata, Argentina. He is an expert in nuclear structure and neutrino physics. During his tenure, he gave lectures in statistical mechanics, electromagnetism, quantum mechanics, and nuclear structure. He has published more than 300 research papers, 50 conference articles, and one book on modern physics for undergraduate students. He got national and international awards like the J. S. Guggenheim Foundation prize. He is a member of the Mexican Academy of Science and a former Alexander von Humboldt fellow. Dr. Manuel Gadella is a Professor of Physics at the University of Valladolid, Spain. He is an expert in mathematical physics. He is author of about 150 research papers and two books for undergraduate students. In collaboration with Prof. Arno Bohm (University of Texas at Austin), he wrote the book entitled "Dirac kets, Gamow vectors and Gelfand triplets" published in the Springer Lecture Notes in Physics.  
Release date Australia
September 8th, 2020
Audience
  • Professional & Vocational
Edition
1st ed. 2020
Illustrations
2 Illustrations, color; 1 Illustrations, black and white; XI, 181 p. 3 illus., 2 illus. in color.
Pages
181
ISBN-13
9783030536572
Product ID
33531110

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