TheoremBase

The Ising Population Model Instantiates the Data of the Fluctuation Theory

The Ising rates, observation rates and costs form an affine-controlled transition-rate family, an observation-rate family and population cost data with the stated smooth extensions, and satisfy the compactness, uniform observation positivity and Lipschitz cost hypotheses of the fluctuation theory.

Statement

Fix parameters χ\chi, ψ\psi, qq, q0q_{0}, μ\mu, TT, a‾\underline{a}, aˉ\bar{a} as in The Ising Population Data (i) and adopt the Ising population data with those parameters: the control set A\mathcal{A}, the open sets UU, VV, UcU_{c}, U~\tilde{U}, the transition-rate coefficients (β0,β1)(\beta_{0},\beta_{1}) with the rates β\beta and their extension βˉ\bar{\beta}, the observation rates β~\tilde{\beta} with their extension β~ˉ\bar{\tilde{\beta}}, the costs (L,G)(L,G) with their extension (Lˉ,Gˉ)(\bar{L},\bar{G}), the function ϕ\phi, and the vectors vv, n\mathsf{n}. Write Λ\Lambda for the Lipschitz constant of an affine-controlled transition-rate family, BB for the rate bound of a transition-rate family, KK for the derivative bound of a twice continuously differentiable extension of such a family, B~\tilde{B} and K~\tilde{K} for the corresponding constants of an observation-rate family and of its twice continuously differentiable extension, and KcK_{c} for the second-derivative bound of a twice continuously differentiable extension of population cost data. Adopt the coordinate and partial-derivative notation ∂i\partial_{i} of the extension definitions, so that ∂1,∂2\partial_{1},\partial_{2} differentiate in the state coordinates x1,x2x^{1},x^{2} and ∂3,∂4\partial_{3},\partial_{4} in the control coordinates a1,a2a^{1},a^{2}. Then the following hold.

1. (The control set.) A\mathcal{A} is a nonempty convex subset of R2\mathbb{R}^{2}, compact for the topology determined by the Euclidean distance; thus hypothesis (A) of Quadratic Growth of the Mean-Field Hamiltonian in the Control along a Stationary Mean-Field Triple holds. Moreover sup⁡a∈A∣a∣=2 aˉ\sup_{a\in\mathcal{A}}|a|=\sqrt{2}\,\bar{a}, and, with

ϱA=min⁡{1−a‾, aˉ−1}>0,\varrho_{\mathcal{A}}=\min\{1-\underline{a},\ \bar{a}-1\}>0 ,

every a∈R2a\in\mathbb{R}^{2} with ∣a−(1,1)∣≤ϱA|a-(1,1)|\le\varrho_{\mathcal{A}} lies in A\mathcal{A}.

2. (The transition-rate family and its drift.) The pair (β0,β1)(\beta_{0},\beta_{1}) is an affine-controlled transition-rate family on 22 states with control set A\mathcal{A} and Lipschitz constant Λ=0\Lambda=0. The transition-rate family that The Transition-Rate Family and Aggregate Drift of Affine-Controlled Data associates with it is the family β\beta of clause The Ising Population Data (iv), and it is a transition-rate family on 22 states with control set A\mathcal{A} and rate bound B=aˉB=\bar{a}. Its aggregate state drift is

b(Σ,α)=(Σ2α2−Σ1α1) v(Σ∈Δ2, α∈A).b(\Sigma,\alpha)=\bigl(\Sigma^{2}\alpha^{2}-\Sigma^{1}\alpha^{1}\bigr)\,v\qquad(\Sigma\in\Delta^{2},\ \alpha\in\mathcal{A}).

3. (The aggregate fluctuation covariance.) The aggregate fluctuation covariance of β\beta is

Θ(Σ,α)=(Σ1α1+Σ2α2) vv⊤(Σ∈Δ2, α∈A).\Theta(\Sigma,\alpha)=\bigl(\Sigma^{1}\alpha^{1}+\Sigma^{2}\alpha^{2}\bigr)\,vv^{\top}\qquad(\Sigma\in\Delta^{2},\ \alpha\in\mathcal{A}).

4. (The rate extension.) The triple (U,V,βˉ)(U,V,\bar{\beta}) is a twice continuously differentiable extension of β\beta with derivative bound K=1K=1. Its only nonvanishing partial derivatives of order one or two are ∂3βˉ(1,2,⋅)=1\partial_{3}\bar{\beta}(1,2,\cdot)=1 and ∂4βˉ(2,1,⋅)=1\partial_{4}\bar{\beta}(2,1,\cdot)=1 on U×VU\times V. Its extended aggregate state drift is

bˉ(x,a)=(x2a2−x1a1) v((x,a)∈U×V).\bar{b}(x,a)=\bigl(x^{2}a^{2}-x^{1}a^{1}\bigr)\,v\qquad\bigl((x,a)\in U\times V\bigr).

5. (The observation-rate family.) The family β~\tilde{\beta} is an observation-rate family on 22 states with 22 observation channels and rate bound B~=q+q0\tilde{B}=q+q_{0}. Its aggregate observation drift is b~υ(Σ)=q Συ+q0\tilde{b}^{\upsilon}(\Sigma)=q\,\Sigma^{\upsilon}+q_{0} for Σ∈Δ2\Sigma\in\Delta^{2} and υ∈{1,2}\upsilon\in\{1,2\}, and satisfies b~υ(Σ)≥q0>0\tilde{b}^{\upsilon}(\Sigma)\ge q_{0}>0 for all such Σ\Sigma and υ\upsilon; thus hypothesis (OC) of Injection Certificates on the Trimmed Synthetic Copy for the Family of N-Agent Solutions: the Law-Transported Van Trees Certificate Hypothesis Holds under Deterministic Initial States, Uniform Observation Positivity and a C^2 Observation Extension holds with b‾=q0\underline{b}=q_{0}.

6. (The observation-rate extension.) The pair (U~,β~ˉ)(\tilde{U},\bar{\tilde{\beta}}) is a twice continuously differentiable extension of β~\tilde{\beta} with derivative bound K~=0\tilde{K}=0; all its partial derivatives of order one and two vanish. Its extended aggregate observation drift is

b~ˉυ(x)=q xυ+q0 (x1+x2)(x∈U~, υ∈{1,2}).\bar{\tilde{b}}^{\upsilon}(x)=q\,x^{\upsilon}+q_{0}\,(x^{1}+x^{2})\qquad(x\in\tilde{U},\ \upsilon\in\{1,2\}).

7. (The population cost data.) The pair (L,G)(L,G) is population cost data on 22 states with control dimension 22, with lower bounds CL=CG=0C_{L}=C_{G}=0. Moreover L(x,a)≥0L(x,a)\ge0 for every (x,a)∈Δ2×R2(x,a)\in\Delta^{2}\times\mathbb{R}^{2}, and L(x,a)=0L(x,a)=0 holds if and only if x=(12,12)x=\bigl(\tfrac{1}{2},\tfrac{1}{2}\bigr) and a=(1,1)a=(1,1). For every x∈Δ2x\in\Delta^{2} the map a↦L(x,a)a\mapsto L(x,a) is convex on R2\mathbb{R}^{2}; in particular LL is convex in the control on A\mathcal{A}. Finally, hypothesis (LipC) of Pointwise-in-Time Tracking of the Mean-Field Flow and Cost along the Realized Control of the Controlled N-Agent Dynamics holds with

KL=2 (2aˉ2χ a‾+ψ),KG=0.K_{L}=\sqrt{2}\,\Bigl(\frac{2\bar{a}^{2}}{\chi\,\underline{a}}+\psi\Bigr),\qquad K_{G}=0 .

8. (The cost extension.) The triple (Uc,Lˉ,Gˉ)(U_{c},\bar{L},\bar{G}) is a twice continuously differentiable extension of (L,G)(L,G) with second-derivative bound

Kc=ψ+2μ+2(aˉ+1)χ a‾.K_{c}=\psi+2\mu+\frac{2(\bar{a}+1)}{\chi\,\underline{a}} .

All partial derivatives of Gˉ\bar{G} vanish, and the partial derivatives of Lˉ\bar{L} on Uc×R2U_{c}\times\mathbb{R}^{2} are

∂1Lˉ=χ−1ϕ(a1)−ψ (x2−x1)+2μ (x1+x2−1),∂2Lˉ=χ−1ϕ(a2)+ψ (x2−x1)+2μ (x1+x2−1),\partial_{1}\bar{L}=\chi^{-1}\phi(a^{1})-\psi\,(x^{2}-x^{1})+2\mu\,(x^{1}+x^{2}-1),\qquad \partial_{2}\bar{L}=\chi^{-1}\phi(a^{2})+\psi\,(x^{2}-x^{1})+2\mu\,(x^{1}+x^{2}-1), ∂3Lˉ=χ−1x1ϕ′(a1),∂4Lˉ=χ−1x2ϕ′(a2),\partial_{3}\bar{L}=\chi^{-1}x^{1}\phi'(a^{1}),\qquad \partial_{4}\bar{L}=\chi^{-1}x^{2}\phi'(a^{2}),

and, for the second order,

∂1∂1Lˉ=∂2∂2Lˉ=ψ+2μ,∂2∂1Lˉ=∂1∂2Lˉ=2μ−ψ,\partial_{1}\partial_{1}\bar{L}=\partial_{2}\partial_{2}\bar{L}=\psi+2\mu,\qquad \partial_{2}\partial_{1}\bar{L}=\partial_{1}\partial_{2}\bar{L}=2\mu-\psi, ∂3∂1Lˉ=∂1∂3Lˉ=χ−1ϕ′(a1),∂4∂2Lˉ=∂2∂4Lˉ=χ−1ϕ′(a2),∂4∂1Lˉ=∂1∂4Lˉ=∂3∂2Lˉ=∂2∂3Lˉ=0,\partial_{3}\partial_{1}\bar{L}=\partial_{1}\partial_{3}\bar{L}=\chi^{-1}\phi'(a^{1}),\qquad \partial_{4}\partial_{2}\bar{L}=\partial_{2}\partial_{4}\bar{L}=\chi^{-1}\phi'(a^{2}),\qquad \partial_{4}\partial_{1}\bar{L}=\partial_{1}\partial_{4}\bar{L}=\partial_{3}\partial_{2}\bar{L}=\partial_{2}\partial_{3}\bar{L}=0, ∂3∂3Lˉ=χ−1x1ϕ′′(a1),∂4∂4Lˉ=χ−1x2ϕ′′(a2),∂4∂3Lˉ=∂3∂4Lˉ=0,\partial_{3}\partial_{3}\bar{L}=\chi^{-1}x^{1}\phi''(a^{1}),\qquad \partial_{4}\partial_{4}\bar{L}=\chi^{-1}x^{2}\phi''(a^{2}),\qquad \partial_{4}\partial_{3}\bar{L}=\partial_{3}\partial_{4}\bar{L}=0 ,

all evaluated at the point (x,a)(x,a).

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