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

By Arieh Ben-Naim

The imperative message of this publication is that thermodynamics and statistical mechanics will reap the benefits of exchanging the unlucky, deceptive and mysterious time period “entropy” with a extra generic, significant and applicable time period resembling details, lacking info or uncertainty. This substitute could facilitate the translation of the “driving strength” of many procedures by way of informational alterations and dispel the secret that has regularly enshrouded entropy.

It has been a hundred and forty years given that Clausius coined the time period “entropy”; nearly 50 years due to the fact Shannon constructed the mathematical idea of “information” — accordingly renamed “entropy”. during this e-book, the writer advocates exchanging “entropy” by means of “information”, a time period that has develop into established 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 primary cornerstone suggestion of thermodynamics, held before via the time period “entropy”.

The subject matters lined comprise the basics of likelihood and knowledge idea; the overall proposal of data in addition to the actual proposal of data as utilized in thermodynamics; the re-derivation of the Sackur-Tetrode equation for the entropy of a great gasoline from in simple terms informational arguments; the elemental formalism of statistical mechanics; and plenty of examples of straightforward approaches the “driving strength” for that's analyzed when it comes to information.


  • Elements of chance Theory
  • Elements of data Theory
  • Transition from the overall MI to the Thermodynamic MI
  • The constitution of the rules of Statistical Thermodynamics
  • Some basic Applications

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

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