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Introductory Statistical Mechanics
Get Free Ebook Introductory Statistical Mechanics
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This book explains the ideas and techniques of statistical mechanics--the theory of condensed matter--in a simple and progressive way. The text begins with the laws of thermodynamics and the basic ideas of quantum mechanics. The conceptual ideas are then developed carefully, and the mathematical techniques are developed in parallel to give a coherent overall view. The text is illustrated with examples not just from solid state physics, but also from recent theories of radiation from black holes and recent data on the background radiation from the Cosmic Background Explorer. This second edition includes additional advanced material often found in undergraduate courses. It includes three new chapters on phase transitions at an appropriate level for an undergraduate student, and there are numerous exercises at the end of each chapter, along with brief model answers for the odd-numbered problems. It is a useful and practical textbook for undergraduates in physics and chemistry.
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Product details
Paperback: 368 pages
Publisher: Oxford University Press; 2 edition (January 20, 2000)
Language: English
ISBN-10: 0198505760
ISBN-13: 978-0198505761
Product Dimensions:
9.3 x 0.9 x 6.6 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review:
3.7 out of 5 stars
24 customer reviews
Amazon Best Sellers Rank:
#1,285,852 in Books (See Top 100 in Books)
I found Prof. Huang's Stat Mech book ONLY a good reference for checking, looking up and comparing his SM math formulas, equations and calculations against other more modern SM books (e.g. Pathria, Kardar and Greiner).The wording of Prof. Huang's book is confusing and unclear (and intimidating as well !) .CASE IN POINT - Chapter 8 - Quantum Statistical Mechanics1. Eqn. 8.10 which defines the fundamental QSM "entity" DENSITY MATRIX. Prof. Huang does not specify that the DENSITY MATRIX is an ENSEMBLE AVERAGE (compare this with Pathria's Eqn 5.1.7 )2. It turns out that Prof. Huang approach is to consider Time Averaging only, which is indeed a more realistic calculation than performing an "imaginary" Averaging over Ensembles.3. What is the pedagogical intent of the word "effectively" in Huang's explanation for Eqn. 8.7 ( which relates to the Postulate of Random Phase cancellation) ?4. What is the use of replacing the Cn coefficients in Eqn. 8.1 by Bn coefficients in Eqn. 8.7 ?The Bn complex coeffs. all have norm ONE and their phases "cancel" out .(This is clearly done in Pathria's Eqn. (5.2.A) Eqn. 7)5. It is difficult to understand the consequence of the Bn coeff. being "random" complex numbers unless the Hamiltonian eigenfunctions (Eqn 8.4) are used to derive that for a Microcanonical Ensemble Averaged Density its associated Matrix is diagonal. Pathria's SM book skips and avoids Huang's confusing rigamarole and simply proceeds to the Eqn. for the Density Matrix TRACE (Eq. 5.1.8).6. Pathria's Eqn. 5.2.A.7. clearly explains and "calculates' how the random phases cancel out when averaging over a microcanonical ensemble.7. What is "trivial" about about accurately describing an incident beam of particles (end of section 8.1) ?8. Prof. Huang emphasizes, or rather, replaces Ensemble Averaging by Time Averaging. That is a very different ball of wax compared to (Pathria and Kardar).9. Time Averaging is NOT necessarily equivalent to Ensemble Averaging, an explanation of how the two Averaging procedures will (or may) give the same result would be highly valuable. This is related to an Ensemble Equilibrium condition as explained in Pathria Section 5.1.10. I didn't find Huang's Section 8.4 on the Third Law of Thermodynamics particularly enlightening. Prof. Huaag in fact states that "Apart from these specific examples ....we cannot give a more universal proof for the third law"(The statement seems even contradictory since Haung states that the "specific examples include all known substances " ???)
I just completed a class taught from Huang. It was rocky. If this is your first time through a serious stat mech class, you have difficulty with thermodynamics, or you are the sort of person that learns by doing, then this probably isn't the book for you.That being said, if you have a strong background in stat mech and thermo, you'll probably find Huang quite enlightening. Huang's approach isn't the most pedagogically sound, but he is more insightful than most. (In the sense of what he presents, not necessarily how he presents it.)Additionally, while there are errors in the book, there aren't so many that it makes it unreadable -- the book is hard to read based on its own construction.I managed to do well in the course, but it was by constantly referencing other books. If this is your first time through, I recommend reading the material of the current chapter in another book first, running a couple of example problems from that book, and then reading through Huang. It seemed to work better as a reference into usually uncovered topics than as a textbook. The first few chapters on thermodynamics and (non-quantum) statistical mechanics are probably best learned from another source.
You cannot beat this book for help reviewing for prelims or comps. The problems are typical of what you would find on a stat mech prelim, and the answers are in the back of the book. Combine this with Schoeder's An Introduction to Thermal Physics for a total Thermo + Stat Mech course.The book is also very helpful during grad-level Stat Mech courses. It makes a great companion to Pathria's Statistical Mechanics, Second Edition.
Huang has a very consistent style of presentation. I love it.
no problem EXCELLENT book
Great!
In my 18 years of formal education, this is the worst textbook I have ever used in any subject. His writing style is awful, the book is littered with typos, his notation is completely different from any I've ever seen, and attempting the homework problems is similar to trying to write an essay in Korean with only a travel guidebook as a reference. Even the paper and cover is of substandard quality. If you are an instructor and are reading this, for the love of god, DON'T USE THIS FOR YOUR COURSE.
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