A Modern Course in Statistical Physics 4th Edition by Linda E. Reichl (PDF)

Description

A Modern Course in Statistical Physics is a textbook that illustrates the foundations of equilibrium and non-equilibrium statistical physics, and the universal nature of thermodynamic processes, from the point of view of contemporary research problems. The book treats such diverse topics as the microscopic theory of critical phenomena, superfluid dynamics, quantum conductance, light scattering, transport processes, and dissipative structures, all in the framework of the foundations of statistical physics and thermodynamics. It shows the quantum origins of problems in classical statistical physics. One focus of the book is fluctuations that occur due to the discrete nature of matter, a topic of growing importance for nanometer scale physics and biophysics. Another focus concerns classical and quantum phase transitions, in both monatomic and mixed particle systems.This fourth edition extends the range of topics considered to include, for example, entropic forces, electrochemical processes in biological systems and batteries, adsorption processes in biological systems, diamagnetism, the theory of Bose-Einstein condensation, memory effects in Brownian motion, the hydrodynamics of binary mixtures.A set of exercises and problems is to be found at the end of each chapter and, in addition, solutions to a subset of the problems is provided. The appendices cover Exact Differentials, Ergodicity, Number Representation, Scattering Theory, and also a short course on Probability.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Excellent purchase. The product arrived speedily.

⭐This book does cover a range of topics with an emphasis more relevant to current and recent physical research than many other texts, and is generally well presented and explained. I turn to it along with Reif’s Statistical Mechanics as standard references. I particularly liked the extensive discussion of probability theory and stochastic processes and their relevance to physics in Chapters 5 and 6. But this discussion is somewhat flawed in its mathematical details, particularly in connection with Markov chains. Actually this reflected my experience with the book as a whole — a great collection of topics explained well in general, but not always when read in detail.

⭐The best book on Statistical Physics and (also) in stochastic processes.

⭐I own this book and I think it is a very good introduction to intermediate levelin statistical mechanics.

⭐When I was in graduate school, it was a course book and I liked it. But when I was considering to buy 4th edition, it is to my surprise that it lost its almost its half. So look for 2nd edition.

⭐I used this textbook for a Graduate Statistical Mechanics course at Rutgers University.The Bad – terrible to learn concepts from for the first time. Makes almost no attempt to help develop intuitive feel for the concepts at hand. Problems and equations are presented with very little motivation or connection to the subject as whole. Derivations show sparse amount of steps, but with little explanation of how to get from one point to the other. – Typos?? This book has a surprising amount of errors in it, most problematically in the equations themselves.The good – Covers ALOT of material that the others (Pathria, Reif) don’t get near such as Renormalization Groups and pretty much every single Special Topics sections at the end of the chapters. Although I found very little use for this textbook while taking the course (Landau & Pathria were the main books I looked to) I am glad to have it for my bookshelf since it seems to offer a lot of interesting reference on the more advanced subjects.

⭐I found this book to be clumsy in its notation and sloppy in its delivery. The information presented in the book is more than comprehensive, however. Each chapter ends with a “special topics” section that covers new and old ideas in the field. Yet the book manages to fall short with its organization and presentation. When new concepts are introduced, very little background is given, and steps in calculations are often bypassed. There are many examples to follow, but even the examples seem pointless when the next step in the derivation has been skipped and it takes the reader several minutes to find the connection. In addition, the book is a somewhat poor reference in the way that many chapters cannot stand alone, due to the quirky notation that is scattered all over the book. If one is not familiar with this notation, then if one wishes to reference the book, he or she will have to waste time finding out why the author uses a capital N there and a small n here, a “mu prime” there and a “mu” here, or a vector k there and an apparently scalar k here.In summary, the book is comprehensive, covering a wide range of ideas both new and old, but it fails in the fact that it cannot present the information in a clear manner.

⭐if you don’t have enough energy to bite through from the beginning, stay away from this book. The key physics is largely buried under the (unnecessarily) heavy notations and equations.However, it may be a good source for reference.

⭐The book is good but I was expecting a revised version of the wonderful second edition that I studied when I was a graduated student and not a shortened version. So, it was below my expectations.

⭐Das Buch kam übers Wochenende an und wies kaum Gebrauchsspuren auf (Keine Verfärbungen oder Knicke, Markierungen nur mit Bleistift). Preislich top, für spätere Ausgaben wurde andernorts das bis zu zehnfache verlangt.

⭐Not found.

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