The Fisher Paradox: Dissipation Interference in Information-Regularized Gradient Flows
This addresses a fundamental issue in information-geometric dissipative dynamics, revealing a paradox that affects gradient flow methods, though it appears incremental as it builds on existing regularization frameworks.
The paper tackles the problem of Fisher-regularized Wasserstein gradient flows exhibiting a previously unrecognized interference mechanism, where a cross-dissipation term opposes descent in certain regimes, and provides analytical predictions confirmed by simulations with a mean relative error of 5.21 x 10^-4.
We show that Fisher-regularized Wasserstein gradient flows exhibit a previously unrecognized interference mechanism in their dissipation identity: a cross-dissipation term whose sign becomes positive when the state width falls below a critical scale. In this regime the geometric Fisher channel transiently opposes descent of the baseline free-energy functional, producing what we term the Fisher Paradox. Restricting the flow to the Gaussian manifold yields an exact Riccati-type variance equation with a closed-form trajectory, exposing three dynamical regimes separated by two critical scales: sigma = 1 (cross-dissipation sign flip) and sigma = sqrt(epsilon) (Fisher takeover). The variance potential V(u) = u^2 - 2u - epsilon ln(u) contains a logarithmic centrifugal barrier that shifts the equilibrium attractor by Delta sigma approx epsilon/4. The interference persists for a duration t_cross ~ D_KL, linking the dissipation delay directly to the initial information distance. Finite-difference simulations on a 512-point grid confirm all analytical predictions to within 5.21 x 10^-4 mean relative error. Numerical experiments with bimodal and Laplace initial conditions confirm the effect persists beyond Gaussian closure, with direct implications for information-geometric dissipative dynamics.