Derivation of Principle of Extreme Physical Information
B. Roy Frieden, Robert A. Gatenby

TL;DR
This paper derives the principle of Extreme Physical Information (EPI) using information theory and axioms, providing a method to determine unknown source effects in physical systems.
Contribution
It introduces a derivation of EPI based on Hardy's axioms and Fisher information, linking source effects to an extremum principle.
Findings
EPI is derived as a minimum of the difference between intrinsic and observed information.
The extremum condition leads to a differential equation for the source amplitude law q(x).
The derivation connects information theory with physical principles through variational methods.
Abstract
The unknown amplitude law q(x) defining an observed effect may be found using the principle of Extreme Physical Information. EPI is derived as follows. The observations follow an information flow J --> I, with J the information intrinsic to the source and I the Fisher information level in its data, obeying (i) I=4 Integral dx q' -squared. Here q'= dq/dx and p(x) = q(x)-squared is the probability. It was previously shown, using L. Hardy's 5 axioms defining physics, that I = max. Therefore, its variation (ii) delta I = 0. Note that I is generic, obeying (i) for all source effects, whereas J is specific to the particular effect. Hence, rather than having form (i), J obeys (iii) J = Integral dx j[q(x),s(x)] with j some function of its arguments and s(x) a known source, such as of mass, biological fitness, etc. Information I decreases under any irreversible operation such as measurement, so…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Quantum Mechanics and Applications · Advanced Thermodynamics and Statistical Mechanics
