% Shared macros. One object, one macro. Sections add nothing here; local symbols stay local to a proof. \newcommand{\R}{\mathbb{R}} \newcommand{\N}{\mathbb{N}} \newcommand{\E}{\mathbb{E}} \renewcommand{\P}{\mathbb{P}} \newcommand{\dd}{\,\mathrm{d}} \newcommand{\one}{\mathbf{1}} \newcommand{\tr}{\operatorname{tr}} \newcommand{\Hess}{\operatorname{Hess}} \newcommand{\Var}{\operatorname{Var}} \newcommand{\Sym}{\operatorname{Sym}} \newcommand{\Lip}{\operatorname{Lip}} \newcommand{\atanh}{\operatorname{atanh}} \newcommand{\erfinv}{\operatorname{erfinv}} \newcommand{\supp}{\operatorname{supp}} \newcommand{\sgn}{\operatorname{sgn}} \newcommand{\Law}{\mathcal{L}} % law of a path: \Law_x \newcommand{\Cube}{\Sigma_N} % {-1,1}^N \newcommand{\Slice}{S_N} % S_N(k): configurations with k plus signs \newcommand{\Eeta}{\E_{\eta}} % average over eta uniform on {-1,1}^{r-1} \newcommand{\tv}{\boldsymbol{t}} % multi-type magnetization (t_eta) \newcommand{\ov}{\boldsymbol{\omega}} % overlaps with the further retained patterns % free energies at fixed overlap \newcommand{\Lam}{\Lambda} % Gaussian rows, one binary pattern \newcommand{\LamR}{\Lambda^{\mathrm{R}}}% +-1 patterns \newcommand{\eR}{e^{\mathrm{R}}} % T = 0, +-1 patterns \newcommand{\Phimix}{\Phi^{\mathrm{mix}}} \newcommand{\Sbeta}{\mathcal{S}_{\beta}}% (beta/2) int_0^1 dw/D_x(w) \newcommand{\Fr}{\mathcal{F}_{r}} % beta V^2/2 + Phi^{(r)}(t) % capacity \newcommand{\Well}{\mathcal{W}} \newcommand{\WellR}{\mathcal{W}^{\mathrm{R}}} \newcommand{\alc}{\alpha_{\mathrm{c}}} \newcommand{\alcR}{\alpha_{\mathrm{c}}^{\mathrm{R}}} \newcommand{\alo}{\underline{\alpha}} % 0.138198129 \newcommand{\ahi}{\overline{\alpha}} % 0.13820106 % Parisi and sphere functionals \newcommand{\Qone}{\mathcal{Q}_{1}} % nondecreasing right-continuous paths [0,1) -> [0,1] \newcommand{\Qinf}{\mathcal{Q}_{\infty}}% bounded paths with values in R_+ \newcommand{\psiS}{\psi_{\mathrm{S}}} \newcommand{\psiSs}{\psi_{\mathrm{S}}^{*}} \newcommand{\resp}{\mathcal{M}} % magnetization response \resp_\nu(u) = d_x phi_nu(0,u) \newcommand{\rad}{\operatorname{rad}} % rad(v) = (alpha/2)(1 + log v - v) \newcommand{\Nd}{\mathsf{g}} % standard normal density \newcommand{\Nc}{\mathsf{G}} % standard normal distribution function \newcommand{\wf}{\mathsf{w}} % w(m) = 2 g(lambda_0(m))