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The Fluctuation LQG Data of the Ising Equilibrium and Its Joint Coercivity

Computes every matrix of the fluctuation linear-quadratic-Gaussian data at the even-split equilibrium of the Ising model in closed form, and shows that the fluctuation Hessian is positive definite with an explicit coercivity constant.

Statement

Fix parameters as in The Ising Population Data (i), adopt the Ising population data with those parameters, and adopt The Ising Population Model Instantiates the Data of the Fluctuation Theory and The Even-Split Equilibrium of the Ising Population Model is a Stationary Mean-Field Triple and is Optimal, so that the equilibrium triple (S,A,P)(S,A,P) is a stationary mean-field triple for β\beta, (L,G)(L,G) and the extensions (U,V,βˉ)(U,V,\bar{\beta}), (Uc,Lˉ,Gˉ)(U_{c},\bar{L},\bar{G}). Let Hij(t)H_{ij}(t) (i,j∈{1,2,3,4}i,j\in\{1,2,3,4\}) and FγδF_{\gamma\delta} (γ,δ∈{1,2}\gamma,\delta\in\{1,2\}) be the fluctuation Hessian coefficients of these data, and let Et\mathcal{E}_{t}, Bt\mathcal{B}_{t}, E~t\tilde{\mathcal{E}}_{t}, HtSSH^{SS}_{t}, HtSAH^{SA}_{t}, HtASH^{AS}_{t}, HtAAH^{AA}_{t}, F⋆F^{\star}, Θt⋆\Theta^{\star}_{t} and Θ~t⋆\tilde{\Theta}^{\star}_{t} be the fluctuation LQG data of (S,A,P)(S,A,P) relative to (U,V,βˉ)(U,V,\bar{\beta}), (Uc,Lˉ,Gˉ)(U_{c},\bar{L},\bar{G}) and the observation-rate extension (U~,β~ˉ)(\tilde{U},\bar{\tilde{\beta}}). Following Completion of Squares and A Priori Control Bound for the Fluctuation Cost, define for t∈[0,T]t\in[0,T] the real matrices EtE_{t} (2×22\times2), Bt\mathsf{B}_{t} (2×22\times2), QtQ_{t} (2×22\times2), VtV_{t} (2×22\times2), RtR_{t} (2×22\times2) and F^\hat{F} (2×22\times2) by

Etδγ=∂γbˉδ(St,At),Btδj=∂2+jbˉδ(St,At),E^{\delta\gamma}_{t}=\partial_{\gamma}\bar{b}^{\delta}(S_{t},A_{t}),\qquad \mathsf{B}^{\delta j}_{t}=\partial_{2+j}\bar{b}^{\delta}(S_{t},A_{t}), Qtγδ=14(Hγδ(t)+Hδγ(t)),Vtγj=12(Hγ,2+j(t)+H2+j,γ(t)),Rtij=14(H2+i,2+j(t)+H2+j,2+i(t)),F^γδ=14(Fγδ+Fδγ),Q^{\gamma\delta}_{t}=\tfrac{1}{4}\bigl(H_{\gamma\delta}(t)+H_{\delta\gamma}(t)\bigr),\quad V^{\gamma j}_{t}=\tfrac{1}{2}\bigl(H_{\gamma,2+j}(t)+H_{2+j,\gamma}(t)\bigr),\quad R^{ij}_{t}=\tfrac{1}{4}\bigl(H_{2+i,2+j}(t)+H_{2+j,2+i}(t)\bigr),\quad \hat{F}^{\gamma\delta}=\tfrac{1}{4}\bigl(F_{\gamma\delta}+F_{\delta\gamma}\bigr),

for γ,δ∈{1,2}\gamma,\delta\in\{1,2\} and i,j∈{1,2}i,j\in\{1,2\}; these are the matrices written with the same symbols in that theorem, and the sans-serif Bt\mathsf{B}_{t} is distinct from the rate bound B=aˉB=\bar{a} while the matrices VtV_{t} are distinct from the open set VV of clause The Ising Population Data (iii). Write II for the 2×22\times2 identity matrix. Then the following hold, for every t∈[0,T]t\in[0,T].

1. (The Hessian coefficients.) Fγδ=0F_{\gamma\delta}=0 for all γ,δ\gamma,\delta, and

H11(t)=H22(t)=ψ+2μ,H12(t)=H21(t)=2μ−ψ,H33(t)=H44(t)=12χ,H_{11}(t)=H_{22}(t)=\psi+2\mu,\qquad H_{12}(t)=H_{21}(t)=2\mu-\psi,\qquad H_{33}(t)=H_{44}(t)=\frac{1}{2\chi},

while Hij(t)=0H_{ij}(t)=0 for every other pair (i,j)(i,j). In particular Hij(t)=Hji(t)H_{ij}(t)=H_{ji}(t) for all i,ji,j, and the coefficients do not depend on tt.

2. (The coefficient matrices.)

Et=−vv⊤,Bt=−12vv⊤,Qt=12ψ vv⊤+μ nn⊤,Vt=0,Rt=14χ I,F^=0.E_{t}=-vv^{\top},\qquad \mathsf{B}_{t}=-\tfrac{1}{2}vv^{\top},\qquad Q_{t}=\tfrac{1}{2}\psi\,vv^{\top}+\mu\,\mathsf{n}\mathsf{n}^{\top},\qquad V_{t}=0,\qquad R_{t}=\frac{1}{4\chi}\,I,\qquad \hat{F}=0 .

3. (The fluctuation LQG data.)

Et=−vv⊤=Et,Bt=−12vv⊤=Bt,E~t=q I+q0 nn⊤,\mathcal{E}_{t}=-vv^{\top}=E_{t},\qquad \mathcal{B}_{t}=-\tfrac{1}{2}vv^{\top}=\mathsf{B}_{t},\qquad \tilde{\mathcal{E}}_{t}=q\,I+q_{0}\,\mathsf{n}\mathsf{n}^{\top}, Θt⋆=vv⊤,Θ~t⋆=(q2+q0)I,F⋆=0,\Theta^{\star}_{t}=vv^{\top},\qquad \tilde{\Theta}^{\star}_{t}=\Bigl(\frac{q}{2}+q_{0}\Bigr)I,\qquad F^{\star}=0,

and the Hessian blocks are HtSS=2QtH^{SS}_{t}=2Q_{t}, HtSA=0H^{SA}_{t}=0, HtAS=0H^{AS}_{t}=0, HtAA=(2χ)−1IH^{AA}_{t}=(2\chi)^{-1}I.

4. (Invertibility and the information matrix.) RtR_{t} and Θ~t⋆\tilde{\Theta}^{\star}_{t} are symmetric positive definite, hence invertible, with Rt−1=4χ IR_{t}^{-1}=4\chi\,I and (Θ~t⋆)−1=(q2+q0)−1I(\tilde{\Theta}^{\star}_{t})^{-1}=\bigl(\tfrac{q}{2}+q_{0}\bigr)^{-1}I. Putting D~t=E~t⊤(Θ~t⋆)−1E~t\tilde{D}_{t}=\tilde{\mathcal{E}}_{t}^{\top}(\tilde{\Theta}^{\star}_{t})^{-1}\tilde{\mathcal{E}}_{t} and

d~=q2q2+q0=2q2q+2q0>0,\tilde{d}=\frac{q^{2}}{\tfrac{q}{2}+q_{0}}=\frac{2q^{2}}{q+2q_{0}}>0 ,

we have

D~t=1q2+q0(q2 I+2q0(q+q0) nn⊤),D~t vv⊤=d~ vv⊤,vv⊤D~t=d~ vv⊤.\tilde{D}_{t}=\frac{1}{\tfrac{q}{2}+q_{0}}\Bigl(q^{2}\,I+2q_{0}(q+q_{0})\,\mathsf{n}\mathsf{n}^{\top}\Bigr),\qquad \tilde{D}_{t}\,vv^{\top}=\tilde{d}\,vv^{\top},\qquad vv^{\top}\tilde{D}_{t}=\tilde{d}\,vv^{\top} .

5. (Hypothesis (JC) and hypothesis (H1).) For every w=(w1,w2,w3,w4)∈R4w=(w^{1},w^{2},w^{3},w^{4})\in\mathbb{R}^{4},

12∑i=14∑j=14Hij(t) wiwj=ψ2(w1−w2)2+μ(w1+w2)2+14χ((w3)2+(w4)2) ≥ cJ ∣w∣2,\frac{1}{2}\sum_{i=1}^{4}\sum_{j=1}^{4}H_{ij}(t)\,w^{i}w^{j}=\frac{\psi}{2}\bigl(w^{1}-w^{2}\bigr)^{2}+\mu\bigl(w^{1}+w^{2}\bigr)^{2}+\frac{1}{4\chi}\Bigl(\bigl(w^{3}\bigr)^{2}+\bigl(w^{4}\bigr)^{2}\Bigr)\ \ge\ c_{J}\,|w|^{2},

where

cJ=min⁡{ψ, 2μ, 14χ}>0,c_{J}=\min\Bigl\{\psi,\ 2\mu,\ \frac{1}{4\chi}\Bigr\}>0 ,

and ∑γ,δFγδzγzδ=0≥0\sum_{\gamma,\delta}F_{\gamma\delta}z^{\gamma}z^{\delta}=0\ge0 for every z∈R2z\in\mathbb{R}^{2}. Thus hypothesis (JC) of Localized Joint Coercivity of the Recentred N-Agent Cost Integrand under a Positive-Definite Fluctuation Hessian holds with the constant cJc_{J}, and hypothesis (H1) of Completion of Squares and A Priori Control Bound for the Fluctuation Cost holds with r=cJr=c_{J}, indeed with r=(4χ)−1r=(4\chi)^{-1}.

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