Thermodynamics and Statistical Mechanics (Classical Theoretical Physics) by Walter Greiner (PDF)

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From the reviews: “This book excels by its variety of modern examples in solid state physics, magnetism, elementary particle physics […] I can recommend it strongly as a valuable source, especially to those who are teaching basic statistical physics at our universities.” Physicalia

User’s Reviews

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

⭐A slightly better graduate text is that by Pathria which is in its second edition. It is fairly clear that Greiner has borrowed heavily from Pathria’s approach. Greiner’s book is more comfortable to look at and read though.Greiner does not include a single reference in this book. I would like to point out that if this were an article submitted to a scientific journal, it would be rejected out of hand for this egregious lack of attribution. This is particularly bothersome with regard to comparing experiment with theory. Mr. Bromley, who wrote the preface, states that these comparisons are a plus for the book. While true, this is hardly unique. Every stat mech book I have quotes experimental results, but the others also cite the reference to the original work. This gives students (and teachers) the ability to look at the experimental work and to get the data for themselves, and it gives credit to those who did the work.What could have been a much better text is marred by too many typos and references to incorrect equation numbers. As well, I find that some “derivations”, again contrary to a statement by Bromley, are of the “it can be seen that” variety, which is odd in a text which does go into some detail on many things, e.g. the derivation of the partition function for an ideal gas in the microcanonical ensemble. An example of a non-derivation is given in the discussion that follows eqn 7.67 which arbitrarily splits the velocity distribution into 3 multiplicative pieces. Since the big new thing for a student in this subject is the use of probability, it would have been much more appropriate to find the one-dimensional velocity distribution by integrating the 3d distribution over two of the components. There are other places in the book where the author fails to use this approach. Students find this confusing, I find it inconsistent. As it stands, the formula is correct, but there is not even a hint that it should be derived or questioned.I found the discussion of the purely classical derivation, the semiclassical derivation, and the quantum derivation of various quantities such as the IG partition function to be a bit confusing at times particularly when the Gibbs factor and the quantum correction h^3N were involved, perhaps it is just me. I would find it better if each derivation were given separately with a summary at the end. This would be more helpful, since some of the later derivations, e.g. Maxwell-Boltzmann are essentially classical in nature and could be arrived at from any of the formulas.On the other hand I found Chapter 12 on the Grand Canonical Ensemble to be excellent, especially the discussion of the distribution of occupation numbers on p. 308ff, an important topic that is not often discussed in Stat Mech books.All in all, though, this would be good book with a little more care and with an appropriate reference list. If you get it, pay attention as you read it.

⭐In my opinion, this is the best book on phenomenological thermodynamics and statistical physics. The material is presented as a historical development, which greatly helps understanding. Mathematical steps are provided in great detail without skipping any steps. Practically useful examples are worked through to the concrete answers. Important hint to the readers: do not gloss over the examples, they fulfill the theory with actual meaning.

⭐It seems like a pretty good textbook. I have read a bunch of chapters and found above-average insight and relevant examples that have been good at clearing up confusion. Concepts are clearly explained. What the student may like are the large number of worked examples. This is invaluable to have when you learn statistical mechanics for the first time. Most of Greiner’s books are of a very high pedagogical value. True, there may be similarities with other texts, but hey, it must be difficult to present the same old classical material in a different manner.Just a minor note: his discussion of exact differentials on pp.26-27 is wrong. He claims that curl F = 0 is a necessary and sufficient condition for f to be exact. It is a necessary condition, but not sufficient. It is not enough to show that curl F=0. All this shows is that the form is “close” (not exact). To prove that it is exact is a much more difficult task: one must prove that a potential function exists. This topic is covered in many elementary books on differential geometry..

⭐It would be wrong to give it a five star rating, since it has too many elementary misgivings: There are inconsistencies in the notation, it’s plagued with typos, and it doesn’t give a list of additional problems, and references. On the other hand, its virtues highly compensate them. The book is very easy to read in general, provides a wide collection of examples and solved problems, and is an excellent introduction to statistical mechanics.

⭐Greiner does it again! The authors do an excellent job of setting up the necessary math and then comprehensively going over the concepts with you. There is a lot of concepts in this text that are given at an introductory to statistical mechanics level for those who did not have an undergraduate course in statistical mechanics. It’s relatively low level but it really helps you get the basics and it’s very readable.

⭐I didn’t end up using this text as a reference as much as I anticipated I would. I wasn’t a huge fan of the structure or explanation, but I will be keeping it as a reference anyway.

⭐great

⭐A capa traseira veio menor a largura das páginas. Alguns lados da capas, claramente, foram cortados com tesoura e não estão retos. Padrão de qualidade muito ruim do acabamento.

⭐Not found.

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