Книга Statistical and Thermal Physics: With Computer Applications

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In addition to being a clear, comprehensive introduction to the field, this book includes a unique and welcome feature: an emphasis on computer simulations. These are integral to the exposition and provide key insights into fundamental concepts that so often confuse newcomers to the field. Simulations also give students a tool to investigate interesting topics that are normally considered too advanced for undergraduates. I highly recommend this book to anyone planning to teach undergraduate statistical and thermal physics. -- Jon Machta, University of Massachusetts Amherst This is an ambitious book written by two experienced researchers and teachers. Starting from the microscopic dynamics of atoms and molecules, it uses statistical mechanical ideas to explain the thermodynamic behavior of macroscopic systems, and amply illustrates these ideas using hands-on computer simulations. Both teachers and students will find this book stimulating and rewarding. -- Joel L. Lebowitz, Rutgers University Gould and Tobochnik are respected researchers in the field and have a good sense of what is significant. Statistical and Thermal Physics includes many problems, exercises, and enlightening commentaries. The textbook places unique emphasis on numerical simulation techniques and what one can learn from them, and closely integrates them into the presentation. This is a welcome innovation. -- Theodore L. Einstein, University of Maryland This is an excellent book. It is better than any other textbook I have encountered for an undergraduate course in statistical thermodynamics. The authors' use of simulations to build a student's intuition is novel, and the problems and examples are very useful. They bring out the important issues and are a real asset in getting students to think about the subject. -- William Klein, Boston University

This textbook carefully develops the main ideas and techniques of statistical and thermal physics and is intended for upper-level undergraduate courses. The authors each have more than thirty years' experience in teaching, curriculum development, and research in statistical and computational physics. Statistical and Thermal Physics begins with a qualitative discussion of the relation between the macroscopic and microscopic worlds and incorporates computer simulations throughout the book to provide concrete examples of important conceptual ideas. Unlike many contemporary texts on thermal physics, this book presents thermodynamic reasoning as an independent way of thinking about macroscopic systems. Probability concepts and techniques are introduced, including topics that are useful for understanding how probability and statistics are used. Magnetism and the Ising model are considered in greater depth than in most undergraduate texts, and ideal quantum gases are treated within a uniform framework. Advanced chapters on fluids and critical phenomena are appropriate for motivated undergraduates and beginning graduate students. * Integrates Monte Carlo and molecular dynamics simulations as well as other numerical techniques throughout the text * Provides self-contained introductions to thermodynamics and statistical mechanics * Discusses probability concepts and methods in detail * Contains ideas and methods from contemporary research * Includes advanced chapters that provide a natural bridge to graduate study * Features more than 400 problems * Programs are open source and available in an executable cross-platform format * Solutions manual (available only to teachers)

Код товара
20162024
Характеристики
Тип обложки
Твердый
Язык
Английский
Описание книги

In addition to being a clear, comprehensive introduction to the field, this book includes a unique and welcome feature: an emphasis on computer simulations. These are integral to the exposition and provide key insights into fundamental concepts that so often confuse newcomers to the field. Simulations also give students a tool to investigate interesting topics that are normally considered too advanced for undergraduates. I highly recommend this book to anyone planning to teach undergraduate statistical and thermal physics. -- Jon Machta, University of Massachusetts Amherst This is an ambitious book written by two experienced researchers and teachers. Starting from the microscopic dynamics of atoms and molecules, it uses statistical mechanical ideas to explain the thermodynamic behavior of macroscopic systems, and amply illustrates these ideas using hands-on computer simulations. Both teachers and students will find this book stimulating and rewarding. -- Joel L. Lebowitz, Rutgers University Gould and Tobochnik are respected researchers in the field and have a good sense of what is significant. Statistical and Thermal Physics includes many problems, exercises, and enlightening commentaries. The textbook places unique emphasis on numerical simulation techniques and what one can learn from them, and closely integrates them into the presentation. This is a welcome innovation. -- Theodore L. Einstein, University of Maryland This is an excellent book. It is better than any other textbook I have encountered for an undergraduate course in statistical thermodynamics. The authors' use of simulations to build a student's intuition is novel, and the problems and examples are very useful. They bring out the important issues and are a real asset in getting students to think about the subject. -- William Klein, Boston University

This textbook carefully develops the main ideas and techniques of statistical and thermal physics and is intended for upper-level undergraduate courses. The authors each have more than thirty years' experience in teaching, curriculum development, and research in statistical and computational physics. Statistical and Thermal Physics begins with a qualitative discussion of the relation between the macroscopic and microscopic worlds and incorporates computer simulations throughout the book to provide concrete examples of important conceptual ideas. Unlike many contemporary texts on thermal physics, this book presents thermodynamic reasoning as an independent way of thinking about macroscopic systems. Probability concepts and techniques are introduced, including topics that are useful for understanding how probability and statistics are used. Magnetism and the Ising model are considered in greater depth than in most undergraduate texts, and ideal quantum gases are treated within a uniform framework. Advanced chapters on fluids and critical phenomena are appropriate for motivated undergraduates and beginning graduate students. * Integrates Monte Carlo and molecular dynamics simulations as well as other numerical techniques throughout the text * Provides self-contained introductions to thermodynamics and statistical mechanics * Discusses probability concepts and methods in detail * Contains ideas and methods from contemporary research * Includes advanced chapters that provide a natural bridge to graduate study * Features more than 400 problems * Programs are open source and available in an executable cross-platform format * Solutions manual (available only to teachers)

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