Information transfer model of natural processes: from the ideal gas law to the distance dependent redshift

Physics – General Physics

Scientific paper

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13 pages, 4 figures; REVTeX4; improved clarity

Scientific paper

Information theory provides shortcuts which allow to deal with complex systems. The basic idea one uses for this purpose is the maximum entropy principle developed by Jaynes. However, an extensions of this maximum entropy principle to systems far from thermal equilibrium or even to non-physical systems is problematic because it requires an adequate choice of constraints. In this paper we apply the information theory in an even more abstract way and propose an information transfer model of natural processes which requires no choice of adequate constraints. It is, therefore, directly applicable to systems far from thermal equilibrium and to non-physical systems. We demonstrate that the information transfer model yields well known laws, which, as yet, have not been directly related to information theory, such as the radioactive decay law, Fick's first law and Hubble's law.

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