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Renormalization Methods: A Guide For Beginners 1st Edition

by William David McComb (Author)
3.3 out of 5 stars 6 customer reviews
ISBN-13: 978-0199236527
ISBN-10: 0199236526
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Product Details

  • Paperback: 352 pages
  • Publisher: Oxford University Press; 1 edition (January 6, 2008)
  • Language: English
  • ISBN-10: 0199236526
  • ISBN-13: 978-0199236527
  • Product Dimensions: 9.4 x 0.6 x 6.5 inches
  • Shipping Weight: 1.5 pounds (View shipping rates and policies)
  • Average Customer Review: 3.3 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #915,367 in Books (See Top 100 in Books)

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Customer Reviews

Top Customer Reviews

5.0 out of 5 starsA Book That Really Motivates
By Southern Jameson West on October 15, 2008
Format: Paperback Verified Purchase
Incredibly informative. Shows you the "tricks" about how to be a theoretical physicist. Just like being a virtuoso in music there are tricks and shortcuts in theoretical physics that don't always get shared in the classroom or "God forbid!" in a textbook!.
Herein McComb
Provides the reader with the necessary confidence to forge ahead in a difficult field of research.( For example how to calculate a "self-energy" term.)
That is the writer talks directly to the reader. By that I mean the writer discusses with the reader on "how to proceed" in a calculation say that no one has done before. That is he is not just teaching in a normal textbook style but rather is teaching ( or instructing ) how to do research. Not always the same thing as just sitting in a classroom and "watching the professor do it". He is giving the student a chance to learn the "sixth sense" of doing calculations in theoretical physics.

The author is careful to point out the differences between the "Mean Field Approximation" and the "Self consistent assumption".

Please note that a lot of these "tricks" or insights are provided in strategically place footnotes throughout the book. One of my favorites is on page 298. That point was never explained when I took Statistical Physics. The book is chalk full of useful pointers like that.

Also the trick with the convolution for Fourier Transforms and solving for the Green's function is done early on. see p. 28 This again was never explained when I took Mathematical Physics. We were back in the "stone age" with "Separation of Variables". This book is literally a "God-send".

From the very rich and diverse selection of topics one can then oneself go on
to imagine many new applications for this technique called "Renormalization".Read more ›
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5.0 out of 5 starsGet Yourself a Copy
By P. Zucker on January 21, 2012
Format: Paperback
This is one of the best physics texts I have ever read. In almost every case, the term's "Introduction" or "Elementary" or "Beginner" in the title of a book are a lie, but not this time. You will need some mathematical background (Linear Alg, Diff Eq, Fourier Transforms, etc.) and it would be advisable to have heard of a partition function before, but the combination of readability and fascinating subject matter can't be beat. If you're a little curious about what all this renormalization jazz is about, or have hit a wall in understanding your cryptic QFT text's explanation of the RG group, give this one a go. From what I've seen so far, the statistical mechanic viewpoint of renormalization is 100x more pedagogical than the particle physicists viewpoint.
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5.0 out of 5 starsExcellent introduction to renormalization methods
By Ricard Vicente Sole on August 22, 2010
Format: Paperback Verified Purchase
The renormalization group approach is one of the cornerstones of statistical and theoretical physics. Its impact in these areas has been huge and as a consequence it has also permeated into other fields, such economics, neuroscience or sociology, as the method has been able to approach rather difficult problems. But in spite of its relevance there are few textbooks where you can find a reasonable introduction (a real one) to the method without being previously an expert. This book is an excellent example and I am enjoying it very much. Very recommendable, including all standard examples (space renormalization, percolation, ising model) together with some non-standard, very pedagogical ones. It goes into the deep methods in a rather smooth sequence.
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