Practical Statistical Mechanics
Solved Problems, Volume 3
CRC Press
1st Edition
Will be published approx. on 16. November 2026
Book
Paperback/Softback
648 pages
978-1-032-99331-7 (ISBN)
Description
This book - the third in a set, following two standalone companions that introduce standard techniques of statistical mechanics - is a new edition of Problems on Statistical Mechanics (D. A. R. Dalvit et al, 1999, CRC Press).
A thorough understanding of statistical mechanics depends strongly on the insights and manipulative skills that are acquired through the solving of problems. This book provides 268 problems with model solutions, illustrating both basic principles and applications.
The problems occupy fourteen chapters, progressing from the simpler aspects of thermodynamics and equilibrium statistical ensembles to the more challenging ideas associated with strongly interacting systems and nonequilibrium processes.
Each chapter consists of exercises spanning multiple levels of difficulty, from warm-up derivations to longer problems that connect several ideas. The solutions are written to be instructive rather than minimal and, in several places, include short contextual remarks - why a technique matters, what it is used for elsewhere, and how it relates to alternative approaches.
The exercises are based on the content of the first two volumes of this set:
F. Caravelli and D. A. R. Dalvit, Practical Statistical Mechanics: Thermodynamics and Statistical Mechanics, Volume 1, CRC Press (2026).
F. Caravelli, J. Zanella Beguelin, and D. A. R. Dalvit, Practical Statistical Mechanics: Advanced Statistical Mechanics, Volume 2, CRC Press (2027).
Key features:
Contains over 600 pages of worked problems in statistical mechanics and thermodynamics.
Comprehensive solutions to all problems are designed to illustrate efficient and elegant problem-solving techniques.
Serves as a reliable companion to studying the topic: something to consult when you are stuck, to compare approaches, and to learn what a complete solution looks like in this subject.
A thorough understanding of statistical mechanics depends strongly on the insights and manipulative skills that are acquired through the solving of problems. This book provides 268 problems with model solutions, illustrating both basic principles and applications.
The problems occupy fourteen chapters, progressing from the simpler aspects of thermodynamics and equilibrium statistical ensembles to the more challenging ideas associated with strongly interacting systems and nonequilibrium processes.
Each chapter consists of exercises spanning multiple levels of difficulty, from warm-up derivations to longer problems that connect several ideas. The solutions are written to be instructive rather than minimal and, in several places, include short contextual remarks - why a technique matters, what it is used for elsewhere, and how it relates to alternative approaches.
The exercises are based on the content of the first two volumes of this set:
F. Caravelli and D. A. R. Dalvit, Practical Statistical Mechanics: Thermodynamics and Statistical Mechanics, Volume 1, CRC Press (2026).
F. Caravelli, J. Zanella Beguelin, and D. A. R. Dalvit, Practical Statistical Mechanics: Advanced Statistical Mechanics, Volume 2, CRC Press (2027).
Key features:
Contains over 600 pages of worked problems in statistical mechanics and thermodynamics.
Comprehensive solutions to all problems are designed to illustrate efficient and elegant problem-solving techniques.
Serves as a reliable companion to studying the topic: something to consult when you are stuck, to compare approaches, and to learn what a complete solution looks like in this subject.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate and Undergraduate Advanced
Illustrations
171 s/w Abbildungen, 171 s/w Zeichnungen, 1 s/w Tabelle
1 Tables, black and white; 171 Line drawings, black and white; 171 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
ISBN-13
978-1-032-99331-7 (9781032993317)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Francesco Caravelli | Juan Zanella Beguelin | Alioscia Hamma
Practical Statistical Mechanics
Solved Problems, Volume 3
Book
approx. 11/2026
1st Edition
CRC Press
€167.50
Not yet published
Persons
Francesco Caravelli is a physicist whose research spans equilibrium and non-equilibrium statistical mechanics, dynamical and complex systems, and quantum technologies. He began his scientific career in quantum gravity at the University of Waterloo and the Perimeter Institute, later moving into complex systems during positions at the University of Oxford and University College London, followed by research in the private sector. Since joining Los Alamos National Laboratory in 2017, first as an Oppenheimer Fellow and later as a Staff Scientist in T4, he has investigated the dynamics of memristive and neuromorphic circuits, deriving exact results that link their memory properties to foundational principles of statistical physics. His recent work focuses on collective nonlinear dynamics, neuromorphic computing, low-power analog architectures, and emerging directions in quantum computing.
Juan Zanella Beguelin received his B.Sc. in Physics from Instituto Balseiro and his Ph.D. from the University of Buenos Aires, where he currently teaches theoretical physics. He has ample expertise in solved problems on thermodynamics and statistical mechanics.
Alioscia Hamma is a theoretical physicist at the University of Naples Federico II, in the Department of Physics "Ettore Pancini." His research focuses on quantum information theory, entanglement, quantum complexity, statistical mechanics, quantum chaos, and condensed matter theory, with contributions to topological order, quantum computation, and emergent quantum phenomena.
Diego A. R. Dalvit is a Senior Staff Member at the Theoretical Division of Los Alamos National Laboratory. He is a quantum optics theorist with expertise in Casimir physics, statistical mechanics, quantum sensing, and metamaterials. He received his Ph.D. in Physics from Universidad de Buenos Aires (Argentina) in 1998. He is a Fellow of the American Physical Society and Optica. He has authored more than 110 peer-reviewed papers, with more than 10,000 citations. He has also co- authored two physics textbooks, one a guide to the essence of Casimir physics, and one on problems on statistical mechanics.
Juan Zanella Beguelin received his B.Sc. in Physics from Instituto Balseiro and his Ph.D. from the University of Buenos Aires, where he currently teaches theoretical physics. He has ample expertise in solved problems on thermodynamics and statistical mechanics.
Alioscia Hamma is a theoretical physicist at the University of Naples Federico II, in the Department of Physics "Ettore Pancini." His research focuses on quantum information theory, entanglement, quantum complexity, statistical mechanics, quantum chaos, and condensed matter theory, with contributions to topological order, quantum computation, and emergent quantum phenomena.
Diego A. R. Dalvit is a Senior Staff Member at the Theoretical Division of Los Alamos National Laboratory. He is a quantum optics theorist with expertise in Casimir physics, statistical mechanics, quantum sensing, and metamaterials. He received his Ph.D. in Physics from Universidad de Buenos Aires (Argentina) in 1998. He is a Fellow of the American Physical Society and Optica. He has authored more than 110 peer-reviewed papers, with more than 10,000 citations. He has also co- authored two physics textbooks, one a guide to the essence of Casimir physics, and one on problems on statistical mechanics.
Content
1. Introduction 2. Thermodynamics 3. Classical Ensembles: Discrete States 4. Classical Ensembles: Continuous States 5. Quantum Ensembles 6. Bose and Fermi Gases 7. Classical Many-Body Systems 8. Phase Transitions and Renormalization Group 9. Frustration and Disorder 10. Monte Carlo 11. Information Theory and Statistical Mechanics 12. Stochastic Processes and Non-Equilibrium Thermodynamics 13. Quantum Many-Body Systems 14. Machine Learning and Inference 15. Appendix: Useful Formulae