Principle of Maximum Fisher Information from Hardy's Axioms Applied to Statistical Systems
B.R. Frieden, R.A. Gatenby

TL;DR
This paper extends Hardy's axioms to observed systems with statistical fluctuations, deriving the principle of maximum Fisher information (I=I_{max}) as fundamental, which underpins many physical, biological, and economic laws.
Contribution
It demonstrates that the principle of maximum Fisher information naturally arises from extended Hardy axioms, removing the need to assume it in deriving physical laws.
Findings
Derivation of I=I_{max} from Hardy's axioms.
Application of I=I_{max} to quantum, biological, and economic systems.
Unification of physical laws under an axiomatic information principle.
Abstract
Consider a finite-sized, multidimensional system in parameter state a. The system is either at statistical equilibrium or general non-equilibrium, and may obey either classical or quantum physics. L. Hardy's mathematical axioms provide a basis for the physics obeyed by any such system. One axiom is that the number N of distinguishable states a in the system obeys N=max. This assumes that N is known as deterministic prior knowledge. However, most observed systems suffer statistical fluctuations, for which N is therefore only known approximately. Then what happens if the scope of the axiom N=max is extended to include such observed systems? It is found that the state a of the system must obey a principle of maximum Fisher information, I=I_{max}. This is important because many physical laws have been derived, assuming as a working hypothesis that I=I_{max}. These derivations include uses…
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