Entropy 2001, 3(1), 1-11; doi:10.3390/e3010001
Article

Some Observations on the Concepts of Information-Theoretic Entropy and Randomness

Department of Mathematics, Iowa State University, Ames, IA 50011, USA
Received: 15 February 2000; Accepted: 11 January 2001 / Published: 1 February 2001
(This article belongs to the Special Issue Gibbs Paradox and Its Resolutions)
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Abstract: Certain aspects of the history, derivation, and physical application of the information-theoretic entropy concept are discussed. Pre-dating Shannon, the concept is traced back to Pauli. A derivation from first principles is given, without use of approximations. The concept depends on the underlying degree of randomness. In physical applications, this translates to dependence on the experimental apparatus available. An example illustrates how this dependence affects Prigogine's proposal for the use of the Second Law of Thermodynamics as a selection principle for the breaking of time symmetry. The dependence also serves to yield a resolution of the so-called ``Gibbs Paradox.'' Extension of the concept from the discrete to the continuous case is discussed. The usual extension is shown to be dimensionally incorrect. Correction introduces a reference density, leading to the concept of Kullback entropy. Practical relativistic considerations suggest a possible proper reference density.
Keywords: information-theoretic entropy; Shannon entropy; Martin-Loef randomness; self-delimiting algorithmic complexity; thermodynamic entropy; second law of thermodynamics; selection principle; wave equation; Gibbs paradox; dimensional analysis; Kullback entropy; cross-entropy; reference density; improper prior

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MDPI and ACS Style

Smith, J.D. Some Observations on the Concepts of Information-Theoretic Entropy and Randomness. Entropy 2001, 3, 1-11.

AMA Style

Smith JD. Some Observations on the Concepts of Information-Theoretic Entropy and Randomness. Entropy. 2001; 3(1):1-11.

Chicago/Turabian Style

Smith, Jonathan D. 2001. "Some Observations on the Concepts of Information-Theoretic Entropy and Randomness." Entropy 3, no. 1: 1-11.

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