The Logic of Thermostatistical Physics

This book addresses several of the foundational problems in thermophysics, i. e. thermodynamics and statistical mechanics. It is an interdisciplinary work in that it examines the philosophical underpinning of scientific models and theories; it also refines the analysis of the problems at hand and delineates the place occupied by various scientific models in a generalized philosophical landscape. Hence, our philosophical - or theoretical - inquiry focuses sharply on the concept of models; and our empirical - or laboratory - evidence is sought in the model-building activities of scientists who have tried to confront the epistemological problems arising in the thermophysical sciences. Primarily for researchers and students in physics, philosophy of science, and mathematics, our book aims at informing the readers - with all the in dispensable technical details made readily available - about the nature of the foundational problems, how these problems are approached with the help of various mathematical models, and what the philosophical implications of such models and approaches involve. Some familiarity with elementary ther mophysics and/or with introductory-level philosophy of science may help, but neither is a prerequisite. The logical and mathematical background re quired for the book are introduced in the Appendices. Upon using the Subject Index, the readers may easily locate the concepts and theorems needed for understanding various parts of the book. The Citation Index lists the authors of the contributions we discuss in detail.

The only book to discuss in detail the philosophical as well as mathematical concepts needed for model-building in statistical mechanics and thermodynamics Can be seen as a handbook for future research and has a good chance to become a modern classic in mathematical physics Includes supplementary material: sn.pub/extras

Klappentext
This book deals with models and model-building in classical and quantum physics; it relies on logic and the philosophy of science as well as on modern mathematics. The reader will also find vistas into the history of ideas. The philosophical analysis is based on the separation of syntax and semantics which is at the root of Kolmogorov's theory of probability; recursive functions and algorithmic complexity are used to discuss entropy and randomness. Basic concepts are discussed together with concrete physical models for phase transitions, scaling, renormalization semigroups, and the irreversible approach to equilibrium. The book is intended for mathematicians, physicists and philosophers of science, both researchers and graduate students.

Inhalt

1. Theories and Models: a Philosophical Overview.- 2. Thermostatics.- 3. Kinetic Theory of Gases.- 4. Classical Probability.- 5. Modern Probability: Syntax and Models.- 6. Modern Probability: Competing Semantics.- 7. Setting-up the Ergodic Problem.- 8. Models and Ergodic Hierarchy.- 9. Ergodicity vs. Integrability.- 10. The Gibbs Canonical Ensembles.- 11. Phase Transitions: van der Waals to Lenz.- 12. Ising and Related Models.- 13. Scaling and Renormalization.- 14. Quantum Models for Phase Transitions.- 15. Approach to Equilibrium in Quantum Mechanics.- 16. The Philosophical Horizon.- A. Appendix: Models in Mathematical Logic.- A.1 Syntax.- A.2 Semantics.- B. Appendix: The Calculus of Differentials.- B.1 Green's Theorem.- B.2 Stokes' and Gauss' Theorems.- B.3 Higher Differentials.- C. Appendix: Recursive Functions.- D. Appendix: Topological Essences.- D.1 Basic Definitions.- D.2 Examples from Functional Analysis.- D.3 Separability and Compactness.- D.4 The Baire Essentials.- E. Appendix: Models vs. Models.- E.1 Models in Wigner's Writings and in the Third Wigner Symposium.- E.2 A Search for Precedents.- E.3 The Case.- E.4 Closing Statements.- References.- Citation Index.