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[N505.Ebook] Free PDF A Modern Course in Statistical Physics, by Linda E. Reichl

Free PDF A Modern Course in Statistical Physics, by Linda E. Reichl

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A Modern Course in Statistical Physics, by Linda E. Reichl

A Modern Course in Statistical Physics, by Linda E. Reichl



A Modern Course in Statistical Physics, by Linda E. Reichl

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A Modern Course in Statistical Physics, by Linda E. Reichl

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.

  • Sales Rank: #1982748 in Books
  • Published on: 1998-03-13
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.65" h x 1.81" w x 6.97" l, 3.77 pounds
  • Binding: Hardcover
  • 842 pages

Review
"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 hydronamics of binary mixtures." (Zentralblatt MATH 1334 2016)

From the Back Cover
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.

About the Author
L.E. Reichl is a professor of physics at the University of Texas. Her research includes work on quantum chaos theory, stochastic physics, open quantum systems and a variety of topics on statistical physics. In 2000, she was elected Fellow of the American Physical Society "for her original contributions to the field of quantum chaos". She is the author of several books and the U.S. editor of the journal Chaos, Solitons and Fractals.

Most helpful customer reviews

0 of 1 people found the following review helpful.
the best one
By J. R. Iglesias
The best book on Statistical Physics and (also) in stochastic processes.

0 of 0 people found the following review helpful.
A very clear textbook for first year statistical physics
By Alphysicist
Let me state that the second edition of this book is one of my favourite statistical physics textbooks. In fact, I think it is the best book to use in an introductory statistical physics course.

This edition is still very good. Everything is very well explained, it is a pleasure to teach from, and the problems are excellent (they are self-contained, in the sense that they can be solved by reading the chapter, which is not always the case for other advanced textbooks). The choice of topics is also very good. This edition has an introductory chapter on entropy/states/multiplicity, which includes worked examples of different, but simple systems to demonstrate the concept.

The chapter on thermodynamics is also a strength of this book. It is very clear, and lays a great foundation (I think this is done even better in the previous edition, of course, I understand why it had to be shortened).

I also particularly liked that the part on renormalisation group theory introduces the topic by first discussing homogeneous functions, then scaling, and then goes to RG. And, again, it is done in a very clear way.

I was a little surprised that the Liouville theorem, which is very basic to statistical mechanics, was demoted to an appendix rather than the main text.

0 of 0 people found the following review helpful.
Flawed... yet an interesting book
By Revanchist
Firstly, let me begin by saying that the 2nd edition of this book is much better than the current one. Even the 2nd edition has many of the flaws shared by this one but it's a lot more comprehensive and clear. And there are several sections in that book which are not covered at all/in minimal detail in this edition, the 3rd one.

Now, there are some good features in this book. In particular, this book has a pretty solid discussion of thermodynamics. This may not be a very "exciting" or "new" topic but quite a useful one especially in biological and chemical systems. And then, the section on Brownian motion and Fluctuation-Dissipation is one of the better ones to be found in an introductory graduate text. The same goes for the discussion of transport theory, which was slightly better in the 2nd edition.

The flaws are mainly two-fold. The first is the matter of an extremely confusing notation where the same symbols are repeated for very different physical quantities or sometimes the notation used is unnecessarily complex. The second problem lies in the fact that the core of introductory stats mechanics: the canonical and grand canonical ensemble are not covered in good enough detail. The non-equilibrium phase transitions are also not given the level of importance that they deserve.

I'd probably have given 4 stars for the second edition and 3.5 for the third one. It is a good book for some topics but beware of the notation and the rather high number of incomplete derivations.

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