The diffusion equation and the principle of minimum Fisher information
Marcel Reginatto, Florian Lengyel

TL;DR
This paper demonstrates that the diffusion equation and its adjoint can be derived using an information-theoretic approach centered on the principle of minimum Fisher information, with minimal assumptions.
Contribution
It introduces a novel derivation of the diffusion equation based solely on the principle of minimum Fisher information, highlighting an information-theoretic foundation.
Findings
Diffusion and adjoint equations derived from Fisher information principle
Minimal assumptions needed for derivation
Supports information-theoretic approach to diffusion processes
Abstract
It is shown that the diffusion equation and its adjoint (time reversed) equation can be derived with only a few assumptions, using an information-theoretic approach based on the principle of minimum Fisher information
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Taxonomy
TopicsStatistical Mechanics and Entropy · Bayesian Methods and Mixture Models
