Get A Farewell to Entropy:Statistical Thermodynamics Based on PDF

By Arieh Ben-Naim

ISBN-10: 9812707069

ISBN-13: 9789812707062

ISBN-10: 9812707077

ISBN-13: 9789812707079

The crucial message of this publication is that thermodynamics and statistical mechanics will take advantage of exchanging the unlucky, deceptive and mysterious time period “entropy” with a extra widespread, significant and acceptable time period similar to details, lacking info or uncertainty. This alternative may facilitate the translation of the “driving strength” of many approaches by way of informational adjustments and dispel the secret that has continuously enshrouded entropy.

It has been a hundred and forty years because Clausius coined the time period “entropy”; nearly 50 years because Shannon constructed the mathematical thought of “information” — to that end renamed “entropy”. during this e-book, the writer advocates changing “entropy” through “information”, a time period that has develop into known in lots of branches of science.

The writer additionally takes a brand new and impressive method of thermodynamics and statistical mechanics. details is used not just as a device for predicting distributions yet because the basic cornerstone idea of thermodynamics, held formerly through the time period “entropy”.

The themes coated comprise the basics of likelihood and knowledge thought; the overall idea of knowledge in addition to the actual idea of knowledge as utilized in thermodynamics; the re-derivation of the Sackur-Tetrode equation for the entropy of an incredible fuel from merely informational arguments; the elemental formalism of statistical mechanics; and plenty of examples of easy tactics the “driving strength” for that's analyzed when it comes to information.


  • Elements of chance Theory
  • Elements of data Theory
  • Transition from the final MI to the Thermodynamic MI
  • The constitution of the principles of Statistical Thermodynamics
  • Some uncomplicated Applications

Readership: a person attracted to the sciences, scholars, researchers; in addition to the layman.

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A Farewell to Entropy:Statistical Thermodynamics Based on Information by Arieh Ben-Naim

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