FlowBoost Reveals Phase Transitions and Spectral Structure in Finite Free Information Inequalities

arXiv:2604.11922v1 Announce Type: cross Abstract: Using FlowBoost, a closed-loop deep generative optimization framework for extremal structure discovery, we investigate ell^p-generalizations of the finite free Stam inequality for real-rooted polynomials under finite free additive convolution oxplus_n. At p=2, FlowBoost finds the Hermite pair as the unique equality case and reveals the spectral structure of the linearized convolution map at this extremal point. As a result, we conjecture that the singular values of the doubly stochastic coupling matrix E_n on the mean-zero subspace are {2^{-k/2}:k=1,ldots,n-1}, independent of n. Conditional on this conjecture, we obtain a sharp local stability constant and the finite free CLT convergence rate, both uniform in n. We introduce a one-parameter family of p-Stam inequalities using ell^p-Fisher information and prove that the Hermite pair itself violates the inequality for every p>2, with the sign of the deficit governed by the ell^p-contraction ratio of E_n. Systematic computation via FlowBoost supports the conjecture that p^*!=2 is the sharp critical exponent. For p<2, the extremal configurations undergo a bifurcation, meaning that they become non-matching pairs with bimodal root structure, converging back to the Hermite diagonal only as po 2^-. Our findings demonstrate that FlowBoost, can be an effective tool of mathematical discovery in infinite-dimensional extremal problems.

Source: arXiv cs.LG | 2026-04-15