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Mathematical Statistical Mechanics / Colin J. Thompson.

By: Material type: TextTextSeries: Princeton Legacy Library ; 1797Publisher: Princeton, NJ : Princeton University Press, [2015]Copyright date: ©1979Description: 1 online resource (290 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9780691608686
  • 9781400868681
Subject(s): DDC classification:
  • 530.1/32
LOC classification:
  • QC20 -- T47 1972eb
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Preface -- Contents -- Note to the Reader -- 1. Kinetic Theory -- 2. Thermodynamics -- 3. The Gibbs Ensembles and the Thermodynamic Limit -- 4. Phase Transitions and Critical Points -- 5. The Ising Model: Algebraic Approach -- 6. The Ising Model: Combinatorial Approach -- 7. Some Applications of the Ising Model to Biology -- Appendixes -- Bibliography -- Index
Summary: 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.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781400868681

Frontmatter -- Preface -- Contents -- Note to the Reader -- 1. Kinetic Theory -- 2. Thermodynamics -- 3. The Gibbs Ensembles and the Thermodynamic Limit -- 4. Phase Transitions and Critical Points -- 5. The Ising Model: Algebraic Approach -- 6. The Ising Model: Combinatorial Approach -- 7. Some Applications of the Ising Model to Biology -- Appendixes -- Bibliography -- Index

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)