This book provides a mathematically rigorous treatment of statistical mechanics, suitable for students and researchers in physics and mathematics. The historical foundations of the subject are seamlessly combined with advanced mathematical techniques and modern applications from physics, providing readers with a balanced understanding of the field.
This book provides a mathematically rigorous treatment of statistical mechanics, suitable for students and researchers in physics and mathematics. The historical foundations of the subject are seamlessly combined with advanced mathematical techniques and modern applications from physics, providing readers with a balanced understanding of the field.
Fabien Paillusson is Associate Professor in the School of Engineering and Physical Sciences at the University of Lincoln. His research specialises in statistical mechanics and computational physics and he has over a decade of experience teaching statistical mechanics at both undergraduate and graduate level. He has previously held academic positions at the University of Cambridge, the University of Barcelona, and Durham University.
Inhaltsangabe
Preface List of mathematical symbols 1. What is statistical mechanics for? 2. Probability theory 3. Gibbs statistical mechanics 4. Connecting thermodynamics with statistical mechanics 5. Quantum statistical mechanics 6. Quantum statistical mechanics for systems of identical particles 7. Introduction to the thermodynamical and statistical descriptions of phase transitions.
Preface List of mathematical symbols 1. What is statistical mechanics for? 2. Probability theory 3. Gibbs statistical mechanics 4. Connecting thermodynamics with statistical mechanics 5. Quantum statistical mechanics 6. Quantum statistical mechanics for systems of identical particles 7. Introduction to the thermodynamical and statistical descriptions of phase transitions.
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