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Order of fluctuations of the free energy in the positive semi-definite MSK model at critical temperature

Elizabeth Collins-Woodfin, Han Gia Le

TL;DR

The paper addresses the order of fluctuations of the free energy in the multi-species SK model at the conjectured critical temperature. It extends Chen and Lam's variance-bounding approach from the single-species SK model to the MSK setting by leveraging Chatterjee's variance identity and a two-parameter interpolation, under the assumption that the variance-profile matrix $\Delta^2$ is positive semi-definite. The main results are that $\mathrm{Var}(F_N(\beta_c)) = O((\log N)^2)$ and, near criticality with $\beta^2 = \beta_c^2 + d N^{-\alpha}$, $\mathrm{Var}(F_N) = O((\log N)^2 + N^{1-\alpha})$, with the rank $r$ of $\Delta^2$ entering the bound via a $x$-dependent control on the exponential moments of the multi-overlap. The approach highlights the role of the multi-overlaps and PSD structure in controlling fluctuations, providing a rigorous pathway to generalizing SK results to MSK and informing expectations for Parisi-type descriptions in the PSD MSK regime.

Abstract

In this note, we consider the multi-species Sherrington-Kirkpatrick spin glass model at its conjectured critical temperature, and we show that, when the variance profile matrix $Δ^2$ is positive semi-definite, the variance of the free energy is $O(\log^2N)$. Furthermore, when one approaches this temperature threshold from the low temperature side at a rate of $O(N^{-α})$ with $α>0$, the variance is $O(\log^2N+N^{1-α})$. This result is a direct extension of the work of Chen and Lam (2019) who proved an analogous result for the SK model, and our proof methods are adapted from theirs.

Order of fluctuations of the free energy in the positive semi-definite MSK model at critical temperature

TL;DR

The paper addresses the order of fluctuations of the free energy in the multi-species SK model at the conjectured critical temperature. It extends Chen and Lam's variance-bounding approach from the single-species SK model to the MSK setting by leveraging Chatterjee's variance identity and a two-parameter interpolation, under the assumption that the variance-profile matrix is positive semi-definite. The main results are that and, near criticality with , , with the rank of entering the bound via a -dependent control on the exponential moments of the multi-overlap. The approach highlights the role of the multi-overlaps and PSD structure in controlling fluctuations, providing a rigorous pathway to generalizing SK results to MSK and informing expectations for Parisi-type descriptions in the PSD MSK regime.

Abstract

In this note, we consider the multi-species Sherrington-Kirkpatrick spin glass model at its conjectured critical temperature, and we show that, when the variance profile matrix is positive semi-definite, the variance of the free energy is . Furthermore, when one approaches this temperature threshold from the low temperature side at a rate of with , the variance is . This result is a direct extension of the work of Chen and Lam (2019) who proved an analogous result for the SK model, and our proof methods are adapted from theirs.
Paper Structure (4 sections, 3 theorems, 32 equations)

This paper contains 4 sections, 3 theorems, 32 equations.

Key Result

Theorem 1.2

Consider an MSK model with species density matrix $\Lambda=\Lambda_N+O(N^{-1})$ and variance profile matrix $\Delta^2$. Let $F_N(\beta)$ be the free energy as defined in eq:fe, and $\beta_c$ be as given in eq:bcrit. If $\Delta^2$ is positive semi-definite, then the following statements hold:

Theorems & Definitions (7)

  • Definition 1.1: MSK model
  • Theorem 1.2
  • Lemma 2.1
  • proof : Proof of Theorem \ref{['thm:maintheorem']}
  • proof : Proof of Lemma \ref{['lem:mainlemma']}
  • Lemma 2.2
  • proof : Proof of Lemma \ref{['lem:Talagrand_bound']}