Statistical Physics

This book provides an introduction to statistical physics with applications to specific problems and advanced concepts. It covers a wide range of phenomena, including classical and quantum liquids, condensed matter, liquid crystals, magnetic systems, astrophysics, atomic and molecular physics, superconductivity, and more. It is intended for graduate students and for those teaching introductory or advanced courses on statistical physics.

Format: Hardback
Length: 436 pages
Publication date: 09 August 2023
Publisher: Taylor & Francis Ltd

This comprehensive textbook offers an in-depth introduction to the fundamental principles of statistical physics, seamlessly transitioning into practical applications and advanced concepts. It has been meticulously crafted to provide a solid foundation in statistical physics, emphasizing both its theoretical underpinnings and the exploration of significant physical examples. Throughout the textbook, a thoughtful comparison of theoretical predictions with corresponding experimental data is presented, utilizing illustrative curves to enhance understanding. The diverse range of phenomena encompassed by statistical physics serves as a rich source of illustrative issues, spanning various domains such as classical and quantum liquids, condensed matter, liquid crystals, magnetic systems, astrophysics, atomic and molecular physics, superconductivity, and numerous other fields. Designed with graduate students (MSc and PhD) and educators in mind, this textbook serves as a valuable resource for those seeking to delve into the realm of statistical physics.

Nicolas Sator, an Associate Professor at Sorbonne University in Paris, France, is a prominent figure in the field of statistical physics. He holds a position in the Laboratory of Theoretical Physics of Condensed Matter (LPTMC), where his research primarily revolves around the study of liquids. Nicolas Pavloff, a Professor at Paris-Saclay University in France, is also a renowned researcher in the field of statistical physics. He is affiliated with Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), where his research interests lie in the realm of quantum fluid theory. Lénaïc Couëdel, a Professor at the University of Sasktchewan in Saskatoon, Canada, and a researcher at CNRS, France, is another prominent figure in statistical physics. His research focuses on plasma physics.

The textbook is organized into well-structured chapters, each dedicated to a specific topic within statistical physics. The introductory chapters provide a solid foundation, covering key concepts such as probability distributions, thermodynamics, and statistical mechanics. These chapters are accompanied by detailed explanations, examples, and exercises to reinforce the understanding of the material. As the textbook progresses, it delves into more advanced topics, including phase transitions, critical phenomena, and the theory of complex systems. Each chapter is accompanied by a comprehensive review of the relevant literature, allowing readers to explore further readings for in-depth knowledge.

One of the notable features of this textbook is its emphasis on pedagogical aspects. Clear explanations, accompanied by diagrams and visualizations, make complex concepts accessible to students. Numerous exercises with detailed solutions are provided, allowing students to practice and apply the learned concepts. These exercises not only reinforce the understanding of the material but also develop problem-solving skills essential for future research endeavors.

In conclusion, this textbook serves as an excellent resource for anyone seeking to gain a comprehensive understanding of statistical physics. Its rigorous and educational approach, coupled with practical applications and advanced concepts, makes it suitable for graduate students, educators, and researchers alike. By presenting a broad range of phenomena and facilitating a comparison of theoretical results with experimental data, this textbook provides a solid foundation for further exploration in the field of statistical physics.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032207063