Strong Topological Trivialization of Multi-Species Spherical Spin Glasses
Brice Huang, Mark Sellke
TL;DR
The paper investigates landscapes of mean-field multi-species spherical spin glasses, deriving a phase boundary for annealed trivialization of critical-point counts and proving its equivalence to a quenched strong topological trivialization (STT). Employing an enhanced Kac–Rice framework coupled with a vector Dyson equation, it first identifies the annealed trivial regime and then sharpens the description to show exactly $2^r$ well-conditioned critical points in the strictly super-solvable setting, with all approximate critical points closely surrounding these true points; this culminates in logarithmic-time Langevin mixing at low temperature. In the strictly sub-solvable regime, the authors (in a companion work) construct exponentially many well-separated approximate critical points, demonstrating quenched non-trivialization and highlighting a phase transition between regimes. The results bridge landscape topology with algorithmic/dynamical behavior, offering a robust methodology to analyze non-convex random landscapes via controlled determinants and band localization, and yielding concrete consequences for sampling and optimization in complex systems.
Abstract
We study the landscapes of multi-species spherical spin glasses. Our results determine the phase boundary for annealed trivialization of the number of critical points, and establish its equivalence with a quenched strong topological trivialization property. Namely in the "trivial" regime, the number of critical points is constant, all are well-conditioned, and all approximate critical points are close to a true critical point. As a consequence, we deduce that Langevin dynamics at sufficiently low temperature has logarithmic mixing time. Our approach begins with the Kac--Rice formula. We characterize the annealed trivialization phase by explicitly solving a suitable multi-dimensional variational problem, obtained by simplifying certain asymptotic determinant formulas from (Ben Arous--Bourgade--McKenna 2023, McKenna 2024). To obtain more precise quenched results, we develop general purpose techniques to avoid sub-exponential correction factors and show non-existence of approximate critical points. Many of the results are new even in the 1-species case.
