High-dimensional Gaussian fields with isotropic increments seen through spin glasses
Anton Klimovsky

TL;DR
This paper investigates the free energy of particles in high-dimensional isotropic Gaussian potentials, deriving a variational formula using spin glass techniques, advancing understanding of complex random systems.
Contribution
It introduces a Parisi-type variational representation for the free energy of high-dimensional Gaussian fields with isotropic increments, extending spin glass methods.
Findings
Derived a saddle-point variational formula for the free energy.
Connected the analysis to the rigorous study of the Sherrington-Kirkpatrick model.
Provided a computable approach for high-dimensional Gaussian potentials.
Abstract
We study the free energy of a particle in (arbitrary) high-dimensional Gaussian random potentials with isotropic increments. We prove a computable saddle-point variational representation in terms of a Parisi-type functional for the free energy in the infinite-dimensional limit. The proofs are based on the techniques developed in the course of the rigorous analysis of the Sherrington-Kirkpatrick model with vector spins.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics
