Parisi PDE and convexity for vector spins
Probability
2023-12-27 v2 Disordered Systems and Neural Networks
Analysis of PDEs
Abstract
We consider mean-field vector spin glasses with self-overlap correction. The limit of free energy is known to be the Parisi formula, which is an infimum over matrix-valued paths. We decompose such a path into a Lipschitz matrix-valued path and the quantile function of a one-dimensional probability measure. For such a pair, we associate a Parisi PDE generalized for vector spins. Under mild conditions, we rewrite the Parisi formula in terms of solutions of the PDE. Moreover, for each fixed Lipschitz path, the Parisi functional is strictly convex over probability measures.
Keywords
Cite
@article{arxiv.2311.10446,
title = {Parisi PDE and convexity for vector spins},
author = {Hong-Bin Chen},
journal= {arXiv preprint arXiv:2311.10446},
year = {2023}
}
Comments
34 pages; added references