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

By Arieh Ben-Naim

The critical message of this e-book is that thermodynamics and statistical mechanics will take advantage of changing the unlucky, deceptive and mysterious time period “entropy” with a extra widespread, significant and acceptable time period equivalent to info, lacking info or uncertainty. This alternative could facilitate the translation of the “driving strength” of many tactics by way of informational adjustments and dispel the secret that has constantly enshrouded entropy.

It has been a hundred and forty years on the grounds that Clausius coined the time period “entropy”; virtually 50 years on the grounds that Shannon built the mathematical idea of “information” — for that reason renamed “entropy”. during this booklet, the writer advocates changing “entropy” via “information”, a time period that has turn into conventional 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 suggestion of thermodynamics, held formerly by means of the time period “entropy”.

The themes lined comprise the basics of chance and knowledge idea; the final suggestion of knowledge in addition to the actual notion of data as utilized in thermodynamics; the re-derivation of the Sackur-Tetrode equation for the entropy of a fantastic fuel from in simple terms informational arguments; the basic formalism of statistical mechanics; and plenty of examples of straightforward methods the “driving strength” for that is analyzed by way of information.

Contents:

  • Elements of likelihood Theory
  • Elements of knowledge Theory
  • Transition from the final MI to the Thermodynamic MI
  • The constitution of the rules of Statistical Thermodynamics
  • Some easy Applications

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

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