A Farewell to Entropy:Statistical Thermodynamics Based on - download pdf or read online

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By Arieh Ben-Naim

The significant 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 time-honored, significant and acceptable time period comparable to details, lacking info or uncertainty. This alternative could facilitate the translation of the “driving strength” of many strategies by way of informational adjustments and dispel the secret that has regularly enshrouded entropy.

It has been a hundred and forty years because Clausius coined the time period “entropy”; virtually 50 years due to the fact that Shannon constructed the mathematical conception of “information” — as a consequence renamed “entropy”. during this e-book, the writer advocates changing “entropy” by means of “information”, a time period that has turn into commonly used in lots of branches of science.

The writer additionally takes a brand new and ambitious method of thermodynamics and statistical mechanics. info is used not just as a device for predicting distributions yet because the primary cornerstone idea of thermodynamics, held before via the time period “entropy”.

The themes lined comprise the basics of chance and knowledge thought; the final suggestion of data in addition to the actual proposal of knowledge as utilized in thermodynamics; the re-derivation of the Sackur-Tetrode equation for the entropy of a great fuel from in simple terms informational arguments; the basic formalism of statistical mechanics; and lots of examples of easy tactics the “driving strength” for that's analyzed by way of information.


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

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

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