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Nonextensive Entropy: Interdisciplinary Applications (Santa Fe Institute Studies on the Sciences of Complexity) Hardcover – April 15, 2004

ISBN-13: 978-0195159769 ISBN-10: 0195159764 Edition: 1st

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Product Details

  • Series: Santa Fe Institute Studies on the Sciences of Complexity
  • Hardcover: 440 pages
  • Publisher: Oxford University Press; 1 edition (April 15, 2004)
  • Language: English
  • ISBN-10: 0195159764
  • ISBN-13: 978-0195159769
  • Product Dimensions: 9.4 x 1.1 x 6.2 inches
  • Shipping Weight: 1.6 pounds
  • Average Customer Review: 2.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #4,748,813 in Books (See Top 100 in Books)

Editorial Reviews


"Gell-Mann (Science Board, Santa Fe Institute) and Tsallis (Brazilian Center for Physics Research) present material on interdisciplinary applications of ideas related to the nonextensive generalization of entropy, Boltzmann- Gibbs statistical mechanics, and standard thermodynamics. Applications relate to dynamical, physical, geophysical, biological, economic, financial, and social systems, and to networks, linguistics, and plectics. A dripping faucet as a nonextensive system, the pricing of stock options, and spatial patterns in forest ecology are some subjects discussed. Material originated at an April 2002 workshop held at the Santa Fe Institute."--SciTech Book News

--This text refers to the Paperback edition.

About the Author

Murray Gell-Mann is at Sante Fe Institute. Constantino Tsallis is at Brazilian Center for Physics Research.

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11 of 19 people found the following review helpful By Professor Joseph L. McCauley on January 25, 2007
Format: Paperback
.. about a student-t like distribution. Too much ado. There is no generalization of entropy (see the comment by Nauenberg and Balian in 2005 Europhysics News, e.g.) and no 'generalized thermostatistics. In fact, there is nothing but a postulated distribution that (as do student-ts typically) has a Gaussian limit. So what?

The claim of 'nonlinear Fokker-Planck" and "nonlinear Markov processes" was quite easy to explode: There is no such thing as a 'nonlinear Markov process'. There is no such thing as a 'nonlinear Fokker-Planck equation' for a conditional probability. A conditional probability with initial state memory is nonMarkovian. A conditional probability with initial state memory is not guaranteed to obey a Chapman-Kolmogorov equation and usually doesn't. A Chapman-Kolmogorov equation is a necessary but not sufficient condition for a Markov process. A Fokker-Planck equation with memory of an initial state in its drift and/or diffusion coefficients does not generate a Markov process. A nonlinear diffusion equation does not define any stochastic process at all, in fact a diffusion equation for a 1-point density defines no stochastic process at all. A 1-point density cannot be used to identify/define a stochastic process, both scaling Markov processes and strongly nonMarkov processes like fractional Brownian motion have exactly the same 1-point density, with widely differing conditional densities. For detailed explanations see cond-mat/0701589 and references therein.

It would be of interest to psychologists and sociologists to study and analyze how such 'movements', based on claims hanging in thin air, gain a multitude of followers and hangers-on, as this movement has. The literature over the last 10 years is riddled with wrong and empty papers on such stuff.
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The book is nice. However, the topic is a bit controversial.
I work with classical entropy, but it's nice to see what's going on
on the other end.
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