Princeton University Press eBooks· 2015· Book chapter
Mathematical Statistical Mechanics
- 531citations
- 2015year
Short summary
This book bridges the gap between overly mathematical and overly physical introductions to statistical mechanics, offering a rigorous yet accessible approach.
AI-generated from the title and abstract; the full text is not read.
Key points
- Combines mathematical rigor with physical intuition in statistical mechanics.
- Covers introductory topics: kinetic theory, thermodynamics, Gibbs ensembles, thermodynamic limit.
- Discusses advanced topics: phase transitions, Ising model, algebraic and combinatorial methods.
- Includes applications of the Ising model to biology.
AI-generated from the title and abstract; the full text is not read.
Abstract
While most introductions to statistical mechanics are either too mathematical or too physical, Colin Thompson's book combines mathematical rigor with familiar physical materials. Following introductory chapters on kinetic theory, thermodynamics, the Gibbs ensembles, and the thermodynamic limit, later chapters discuss the classical theories of phase transitions, the Ising model, algebraic methods and combinatorial methods for solving the two-dimensional model in zero field, and some applications of the Ising model to biology. Originally published in 1979. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
The authors' abstract, as published at the source. Princeton University Press eBooks, 2015 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Mathematical Physics
Mathematical PhysicsMathematics