We study the Gibbs measure of mixed spherical $p$-spin glass models at low
temperature, in (part of) the 1-RSB regime, including, in particular, models
close to pure in an appropriate sense. We show that the Gibbs measure
concentrates on spherical bands around deep critical points of the (extended)
Hamiltonian restricted to the sphere of radius $\sqrt N q_\star$, where
$q_\star^2$ is the rightmost point in the support of the overlap distribution.
We also show that the relevant critical points are pairwise orthogonal for two
different low temperatures. This allows us to explain why temperature chaos
occurs for those models, in contrast to the pure spherical models.

研究混合球形 p 自旋玻璃模型的吉布斯分布，在低温下，在（部分）1RSB 区域，特别是在适当意义下接近纯模型的模型，发现吉布斯分布集中在以深临界点为中心的球形区域上，且关键临界点在两个不同的低温下成对正交，这解释了为什么这些模型会出现温度混沌。

混合球形自旋玻璃在低温下的几何和温度混沌 - 微扰区域

Geometry and temperature chaos in mixed spherical spin glasses at low  temperature - the perturbative regime

We consider homogeneous factor models on uniformly sparse graph sequences
converging locally to a (unimodular) random tree $T$, and study the existence
of the free energy density $\phi$, the limit of the log-partition function
divided by the number of vertices $n$ as $n$ tends to infinity. We provide a
new interpolation scheme and use it to prove existence of, and to explicitly
compute, the quantity $\phi$ subject to uniqueness of a relevant Gibbs measure
for the factor model on $T$. By way of example we compute $\phi$ for the
independent set (or hard-core) model at low fugacity, for the ferromagnetic
Ising model at all parameter values, and for the ferromagnetic Potts model with
both weak enough and strong enough interactions. Even beyond uniqueness regimes
our interpolation provides useful explicit bounds on $\phi$. In the regimes in
which we establish existence of the limit, we show that it coincides with the
Bethe free energy functional evaluated at a suitable fixed point of the belief
propagation (Bethe) recursions on $T$. In the special case that $T$ has a
Galton-Watson law, this formula coincides with the nonrigorous "Bethe
prediction" obtained by statistical physicists using the "replica" or "cavity"
methods. Thus our work is a rigorous generalization of these heuristic
calculations to the broader class of sparse graph sequences converging locally
to trees. We also provide a variational characterization for the Bethe
prediction in this general setting, which is of independent interest.

本文研究了在具有一致稀疏图序列的随机树 T 上的同质化因子模型的自由能密度存在性，并通过新的插值方案证明了存在性并具体计算了该量。通过实例计算，我们证明了该极限与在 T 上的 Belief Propagation（Bethe）递归的适当不动点处的 Bethe 自由能函数重合。