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The focus is on the main physical ideas and mathematical methods of the microscopic theory of fluids, starting with the basic principles of statistical mechanics. The detailed derivation of results is accompanied by explanation of their physical meaning. The same approach refers to several specialized topics of the liquid state, most of which are recent developments, such as: a perturbation approach to the surface tension, an algebraic perturbation theory of polar nonpolarizable fluids and ferrocolloids, a semi-phenomenological theory of the Tolman length and some others.

This classic graduate lecture note volume on statistical mechanics focuses on Physics, rather than mathematics. It provides a concise introduction to basic concepts and a clear presentation of difficult topics, while challenging the student to reflect upon as yet unanswered questions.

This monograph constructs classical statistical mechanics as a deductive system, based on the equations of motion and the basic postulates of probability. The treatment consists chiefly of theorems and proofs that are expressed in a manner that reveals the theory's logical structure. Requiring only familiarity with the elements of calculus and analytical geometry, Axiomatics of Classical Statistical Mechanics is geared toward advanced undergraduates and graduate students in mathematical physics. An opening chapter on mathematical tools makes the text as self-contained as possible. Subsequent chapters explore the phase flows of mechanical systems, the initial distribution of probability in the phase space, and both time-dependent and time-independent probability distributions. A final chapter covers statistical thermodynamics.

This book is designed for the junior-senior thermodynamics course given in all departments as a standard part of the curriculum. The book is devoted to a discussion of some of the basic physical concepts and methods useful in the description of situations involving systems which consist of very many particulars. It attempts, in particular, to introduce the reader to the disciplines of thermodynamics, statistical mechanics, and kinetic theory from a unified and modern point of view. The presentation emphasizes the essential unity of the subject matter and develops physical insight by stressing the microscopic content of the theory.

All the tools necessary to understand the concepts underlying today's statistical physics A Modern Course in Statistical Physics goes beyond traditional textbook topics and incorporates contemporary research into a basic course on statistical mechanics. From the universal nature of matter to the latest results in the spectral properties of decay processes, this book emphasizes the theoretical foundations derived from thermodynamics and probability theory that underlie all concepts in statistical physics. Each chapter focuses on a core topic and includes extensive illustrations, exercises, and experimental data as well as a section with more advanced topics and applications. This comprehensive treatment of traditional and modern topics: * Covers equilibrium and nonequilibrium thermodynamics * Presents the foundations of probability theory and stochastic processes * Derives statistical mechanics from ergodic theory * Examines the origin of thermodynamic and hydrodynamic behavior * Emphasizes equilibrium and nonequilibrium phase transitions * Presents theories of random walks and Brownian motion * Discusses hydrodynamics and transport theory of chemical mixtures and discontinuous systems * Presents transport theory on microscopic and macroscopic levels * Includes thermodynamics of biophysical processes Comprehensive coverage of numerous core topics and special applications gives professors flexibility to individualize course design. And the inclusion of advanced topics and extensive references makes this an invaluable resource for researchers as well as students-a textbook that will be retained on the shelf long after the course is completed. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Going beyond traditional textbook topics, 'A Modern Course in Statistical Physics' incorporates contemporary research in a basic course on statistical mechanics. From the universal nature of matter to the latest results in the spectral properties of decay processes, this book emphasizes the theoretical foundations derived from thermodynamics and probability theory underlying all concepts in statistical physics. This completely revised and updated third edition continues the comprehensive coverage of numerous core topics and special applications, allowing professors flexibility in designing individualized courses. The inclusion of advanced topics and extensive references makes this an invaluable resource for researchers as well as students -- a textbook that will be kept on the shelf long after the course is completed.

Computer science and physics have been closely linked since the birth of modern computing. In recent years, an interdisciplinary area has blossomed at the junction of these fields, connecting insights from statistical physics with basic computational challenges. Researchers have successfully applied techniques from the study of phase transitions to analyze NP-complete problems such as satisfiability and graph coloring. This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them.Computational Complexity and Statistical Physics will serve as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. Addressed to a broad range of readers, the book includes substantial background material along with current research by leading computer scientists, mathematicians, and physicists. It will prepare students and researchers from all of these fields to contribute to this exciting area.

This classic graduate lecture note volume on statistical mechanics focuses on Physics, rather than mathematics. It provides a concise introduction to basic concepts and a clear presentation of difficult topics, while challenging the student to reflect upon as yet unanswered questions.

Hardcover; light fading, light shelf wear to exterior; in very good condition with clean text, firm binding. Dust jacket shows scuffing, light soiling, and small edge tears.

Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. This fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.

This volume demonstrates the manner in which statistical mechanics can be built up deductively from a small number of well-defined physical assumptions. A solid basis for the deductive structure is provided by embodying these assumptions in a system of five postulates that describe an idealized model of real physical systems. These postulates play a theoretical role similar to that of the first and second laws in thermodynamics.The first chapter concerns the primary physical assumptions and their idealization in the form of postulates. The following three chapters examine the consequences of these postulates, culminating in the derivation of the fundamental formulas for calculating probabilities in terms of dynamical quantities. Two concluding chapters are devoted to an analysis of the notion of entropy, illustrating its links between statistical mechanics and thermodynamics and between statistical mechanics and communication theory. Because this book deals mostly with general principles, its only detailed considerations of physical applications are in terms of the system with the simplest possible dynamics: the ideal classical gas, which is discussed both in its equilibrium and its nonequilibrium aspects.Intended for readers with a knowledge of physics at the advanced undergraduate and graduate levels, this volume considers topics of interest not only to physicists, but also to statisticians, communication theorists, chemists, and mathematicians.

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A lucid presentation of statistical physics and thermodynamics which develops from the general principles to give a large number of applications of the theory.

A reissue of a classic book -- corrected, edited, typeset, redrawn, and indexed for the Biological Physics Series. Intended for undergraduate courses in biophysics, biological physics, physiology, medical physics, and biomedical engineering, this is an introduction to statistical physics with examples and problems from the medical and biological sciences. Topics include the elements of the theory of probability, Poisson statistics, thermal equilibrium, entropy and free energy, and the second law of thermodynamics. It can be used as a supplement to standard introductory physics courses, and as a text for medical schools, medical physics courses, and biology departments. The three volumes combined present all the major topics in physics. These books are being reissued in response to frequent requests to satisfy the growing need among students and practitioners in the medical and biological sciences with a working knowledge of the physical sciences. The books are also in demand in physics departments either as supplements to traditional intro texts or as a main text for those departments offering courses with biological or medical physics orientation.

"Radiation physics is the branch of physics that studies the effects of radiation on matter. This field has been instrumental in providing improved manufacturing processes, nuclear energy, and advanced medical diagnostic and treatment options. With particular emphasis on radiation protection and dosimetry, this book deals with statistical solutions to problems inherent in health physics measurements and decision making."

A reissue of a classic book -- corrected, edited, typeset, redrawn, and indexed for the Biological Physics Series. Intended for undergraduate courses in biophysics, biological physics, physiology, medical physics, and biomedical engineering, this is an introduction to statistical physics with examples and problems from the medical and biological sciences. Topics include the elements of the theory of probability, Poisson statistics, thermal equilibrium, entropy and free energy, and the second law of thermodynamics. It can be used as a supplement to standard introductory physics courses, and as a text for medical schools, medical physics courses, and biology departments. The three volumes combined present all the major topics in physics. These books are being reissued in response to frequent requests to satisfy the growing need among students and practitioners in the medical and biological sciences with a working knowledge of the physical sciences. The books are also in demand in physics departments either as supplements to traditional intro texts or as a main text for those departments offering courses with biological or medical physics orientation.

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This book is written for a one-year graduate course in statistical mechanics or a half-year course followed by a half-year course on related subjects.

In this revised and enlarged second edition of an established text Tony Guénault provides a clear and refreshingly readable introduction to statistical physics, an essential component of any first degree in physics. The treatment itself is self-contained and concentrates on an understanding of the physical ideas, without requiring a high level of mathematical sophistication. A straightforward quantum approach to statistical averaging is adopted from the outset (easier, the author believes, than the classical approach). The initial part of the book is geared towards explaining the equilibrium properties of a simple isolated assembly of particles. Thus, several important topics, for example an ideal spin-½ solid, can be discussed at an early stage. The treatment of gases gives full coverage to Maxwell-Boltzmann, Fermi-Dirac and Bose-Einstein statistics. Towards the end of the book the student is introduced to a wider viewpoint and new chapters are included on chemical thermodynamics, interactions in, for example, liquid helium-3 and helium-4, and statistics under extreme conditions (superconductivity and astrophysical systems).

Well respected and widely used, this volume presents problems and full solutions related to a wide range of topics in thermodynamics, statistical physics, and statistical mechanics. The text is intended for instructors, undergraduates, and graduate students of mathematics, physics, chemistry, and engineering. Twenty-eight chapters, each prepared by an expert, proceed from simpler to more difficult subjects. Similarly, the early chapters are easier than the later ones, making the book ideal for independent study.Subjects begin with the laws of thermodynamics and statistical theory of information and of ensembles, advancing to the ideal classical gases of polyatomic molecules, non-electrolyte liquids and solutions, and surfaces. Subsequent chapters explore imperfect classical and quantum gas, phase transitions, cooperative phenomena, Green function methods, the plasma, transport in gases and metals, Nyquist's theorem and its generalizations, stochastic methods, and many other topics.