TheoremBase

Proof

Throughout, C2C^2 and C1C^1 refer to C^k Maps on a Euclidean Open Set; by claim 1 of Shared-Clock Point Insertion into the Open-Loop Aggregate Solution: Exact Response Identity, Crude Bound, and Linearisation Defect, each ψc\psi_c is of class C2C^2 on the open set U×V⊆Rl+mU\times V\subseteq\mathbb{R}^{l+m}, its partial derivatives satisfy ∣∂iψc∣≤B+K|\partial_i\psi_c|\le B+K and ∣∂j∂iψc∣≤3K|\partial_j\partial_i\psi_c|\le3K at every point of Δl×A\Delta^l\times\mathcal{A}, and ψc(Σ,α)=Σσβ(σ,γ,Σ,α)\psi_c(\Sigma,\alpha)=\Sigma^\sigma\beta(\sigma,\gamma,\Sigma,\alpha) on Δl×A\Delta^l\times\mathcal{A} for c=(σ,γ)c=(\sigma,\gamma). By clause 2 of C^k Maps on a Euclidean Open Set each ∂iψc\partial_i\psi_c is of class C1C^1 on U×VU\times V, and ψc\psi_c and its first partial derivatives are continuous at every point of U×VU\times V by clause 1 (see also claim 3 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous); such a function FF is sequentially continuous at every x∈U×Vx\in U\times V: given a sequence xn→xx_n\to x and ε>0\varepsilon>0, continuity at xx provides δ>0\delta>0 with ∣F(x′)−F(x)∣≤ε|F(x')-F(x)|\le\varepsilon whenever d(x′,x)<δd(x',x)<\delta, and d(xn,x)<δd(x_n,x)<\delta for all large nn. We use that ∣vc∣=2|v_c|=\sqrt{2} (as vc=δγ−δσv_c=\delta_\gamma-\delta_\sigma with σ≠γ\sigma\neq\gamma has exactly two nonzero coordinates, equal to 11 and −1-1), that L\mathcal{L} has l(l−1)l(l-1) elements, that ∣Σ∣≤1|\Sigma|\le1 for Σ∈Δl\Sigma\in\Delta^l (since ∣Σ∣2=∑σ(Σσ)2≤(∑σΣσ)2=1|\Sigma|^{2}=\sum_\sigma(\Sigma^\sigma)^{2}\le(\sum_\sigma\Sigma^\sigma)^{2}=1, the coordinates being nonnegative with sum 11), so that any two points of Δl\Delta^l are at distance at most 22, and that Δl\Delta^l is convex: if Σ,Σ′∈Δl\Sigma,\Sigma'\in\Delta^l and τ∈[0,1]\tau\in[0,1], the coordinates of Σ+τ(Σ′−Σ)=(1−τ)Σ+τΣ′\Sigma+\tau(\Sigma'-\Sigma)=(1-\tau)\Sigma+\tau\Sigma' are nonnegative and sum to (1−τ)+τ=1(1-\tau)+\tau=1, so the point lies in Δl\Delta^l; hence for Σ,Σ′∈Δl\Sigma,\Sigma'\in\Delta^l and α∈A\alpha\in\mathcal{A} the segment between (Σ,α)(\Sigma,\alpha) and (Σ′,α)(\Sigma',\alpha) lies in Δl×A⊆U×V\Delta^l\times\mathcal{A}\subseteq U\times V.

Claim 1. For γ∈{1,…,l}\gamma\in\{1,\dots,l\} the γ\gamma-th component of vcv_c is 11 if c=(σ,γ)c=(\sigma,\gamma) for some σ≠γ\sigma\neq\gamma, −1-1 if c=(γ,γ′)c=(\gamma,\gamma') for some γ′≠γ\gamma'\neq\gamma, and 00 otherwise; hence on Δl×A\Delta^l\times\mathcal{A}

bγ(Σ,α)=∑σ:σ≠γΣσβ(σ,γ,Σ,α)−∑γ′:γ′≠γΣγβ(γ,γ′,Σ,α),b^{\gamma}(\Sigma,\alpha)=\sum_{\sigma:\sigma\neq\gamma}\Sigma^\sigma\beta(\sigma,\gamma,\Sigma,\alpha)-\sum_{\gamma':\gamma'\neq\gamma}\Sigma^\gamma\beta(\gamma,\gamma',\Sigma,\alpha),

which is the γ\gamma-th component of the aggregate state drift. The identity E(Σ,α)z=∑cvc(gc(Σ,α)⋅z)\mathcal{E}(\Sigma,\alpha)z=\sum_cv_c(g^{c}(\Sigma,\alpha)\cdot z) is recalled from the setting of Shared-Clock Point Insertion into the Open-Loop Aggregate Solution: Exact Response Identity, Crude Bound, and Linearisation Defect, where it follows from the entry formula Eγη=∑cvcγ∂ηψc\mathcal{E}^{\gamma\eta}=\sum_cv_c^{\gamma}\partial_\eta\psi_c. Since 0≤ψc≤B0\le\psi_c\le B on Δl×A\Delta^l\times\mathcal{A} (the coordinate Σσ\Sigma^\sigma lies in [0,1][0,1] and 0≤β≤B0\le\beta\le B by clause 1 of Transition-Rate Family), the triangle inequality gives ∣b∣≤∑c∣vc∣ψc≤2 l(l−1)B|b|\le\sum_c|v_c|\psi_c\le\sqrt{2}\,l(l-1)B; the bound ∣gc∣≤l(B+K)|g^{c}|\le\sqrt{l}(B+K) follows from ∣∂iψc∣≤B+K|\partial_i\psi_c|\le B+K for the ll components; and ∣Ez∣≤∑c∣vc∣ ∣gc⋅z∣≤2 l(l−1)l(B+K)∣z∣|\mathcal{E}z|\le\sum_c|v_c|\,|g^{c}\cdot z|\le\sqrt{2}\,l(l-1)\sqrt{l}(B+K)|z| by the Cauchy-Schwarz inequality. For measurable x′x' and a′a' the map u↦(xu′,au′)∈Rl+mu\mapsto(x'_u,a'_u)\in\mathbb{R}^{l+m} is measurable componentwise, and ψc\psi_c, ∂iψc\partial_i\psi_c are continuous on the open set U×VU\times V containing its values, so u↦ψc(xu′,au′)u\mapsto\psi_c(x'_u,a'_u) and u↦∂iψc(xu′,au′)u\mapsto\partial_i\psi_c(x'_u,a'_u) are measurable by Sequentially Continuous Functions of Measurable Euclidean Maps are Measurable (sequential continuity having been noted above); finite linear combinations of these are measurable by claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, and the bounds just proved show boundedness. The absolute value of a measurable function is measurable (claim 4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions) and the Euclidean norm of a bounded measurable Rl\mathbb{R}^l-valued map is bounded measurable (Norm Bound for a Vector-Valued Lebesgue Integral over a Compact Interval), so u↦duu\mapsto\mathsf{d}_u is bounded measurable, with du≤l(l−1)⋅2l(B+K)\mathsf{d}_u\le l(l-1)\cdot2\sqrt{l}(B+K).

Claim 2. Measurability and boundedness of ρ\rho follow from claim 1 and claims 2 and 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions (the entries of E⋆\mathcal{E}^{\star} are continuous, hence bounded measurable by claim 4 of Measurability of Countable Suprema, Bounded Pointwise Limits, Monotone Functions, and Continuous Functions and Continuous Real-Valued Functions on a Compact Interval are Bounded, and ee is bounded measurable with ∣eu∣≤2|e_u|\le2 by the preliminary remarks). Fix u∈[0,T]u\in[0,T] and a label cc. Apply part (ii) of Multivariate Taylor Expansion with Uniform Second-Order Remainder to f=ψcf=\psi_c on W=U×VW=U\times V with n=l+mn=l+m, at the points (yu,au)(y_u,a_u) and (xu,au)(x_u,a_u), whose segment lies in Δl×A\Delta^l\times\mathcal{A} by convexity, with h=(eu,0)h=(e_u,0), ∣h∣=∣eu∣|h|=|e_u| and M2=3KM_2=3K: since hi=0h_i=0 for i>li>l,

∣ψc(xu,au)−ψc(yu,au)−gc(yu,au)⋅eu∣≤12(l+m) 3K ∣eu∣2=Λ2∣eu∣2.\bigl|\psi_c(x_u,a_u)-\psi_c(y_u,a_u)-g^{c}(y_u,a_u)\cdot e_u\bigr|\le\tfrac12(l+m)\,3K\,|e_u|^{2}=\Lambda_2|e_u|^{2}.

Next apply part (i) of the same lemma to f=∂iψcf=\partial_i\psi_c (i≤li\le l), of class C1C^1 on WW, at the points (Su,au)(S_u,a_u) and (yu,au)(y_u,a_u) with h=(yu−Su,0)h=(y_u-S_u,0) and M1=3KM_1=3K: ∣∂iψc(yu,au)−∂iψc(Su,au)∣≤l+m 3K ∣yu−Su∣|\partial_i\psi_c(y_u,a_u)-\partial_i\psi_c(S_u,a_u)|\le\sqrt{l+m}\,3K\,|y_u-S_u|, so that, summing the squares of the ll components, ∣gc(yu,au)−gc(Su,au)∣≤ll+m 3K ∣yu−Su∣=Λ3∣yu−Su∣|g^{c}(y_u,a_u)-g^{c}(S_u,a_u)|\le\sqrt{l}\sqrt{l+m}\,3K\,|y_u-S_u|=\Lambda_3|y_u-S_u|. Now, by claim 1,

ρu=∑cvc(ψc(xu,au)−ψc(yu,au)−gc(yu,au)⋅eu)+∑cvc((gc(yu,au)−gc(Su,Au))⋅eu),\rho_u=\sum_{c}v_c\Bigl(\psi_c(x_u,a_u)-\psi_c(y_u,a_u)-g^{c}(y_u,a_u)\cdot e_u\Bigr)+\sum_{c}v_c\Bigl(\bigl(g^{c}(y_u,a_u)-g^{c}(S_u,\mathsf{A}_u)\bigr)\cdot e_u\Bigr),

and ∣(gc(yu,au)−gc(Su,Au))⋅eu∣≤(Λ3∣yu−Su∣+∣gc(Su,au)−gc(Su,Au)∣)∣eu∣|(g^{c}(y_u,a_u)-g^{c}(S_u,\mathsf{A}_u))\cdot e_u|\le\bigl(\Lambda_3|y_u-S_u|+|g^{c}(S_u,a_u)-g^{c}(S_u,\mathsf{A}_u)|\bigr)|e_u| by the triangle inequality and the Cauchy-Schwarz inequality. Taking norms, using ∣vc∣=2|v_c|=\sqrt{2} and summing over the l(l−1)l(l-1) labels gives the stated bound.

Claim 3. Put zt=et−mtz_t=e_t-\mathfrak{m}_t, a bounded measurable map. Subtracting the two integral equations of the statement and using linearity of the integral,

zt=e0+∫[0,t](b(xu,au)−b(yu,au)) du=e0+∫[0,t](Eu⋆zu+gu) du,gu:=Eu⋆mu+ρu,z_t=e_0+\int_{[0,t]}\bigl(b(x_u,a_u)-b(y_u,a_u)\bigr)\,du=e_0+\int_{[0,t]}\bigl(\mathcal{E}^{\star}_u z_u+g_u\bigr)\,du,\qquad g_u:=\mathcal{E}^{\star}_u\mathfrak{m}_u+\rho_u,

since b(xu,au)−b(yu,au)=Eu⋆eu+ρu=Eu⋆zu+Eu⋆mu+ρub(x_u,a_u)-b(y_u,a_u)=\mathcal{E}^{\star}_ue_u+\rho_u=\mathcal{E}^{\star}_uz_u+\mathcal{E}^{\star}_u\mathfrak{m}_u+\rho_u by the definition of ρ\rho and claim 1 of Linearity, Compatibility with the Matrix Product, and a Norm Bound for the Matrix-Vector Product. Here gg is bounded measurable (claims 1 and 2). By claims 2 and 3 of Variation of Constants with Bounded Measurable Forcing and the Two-Parameter Fundamental Solution applied with k=lk=l, A(u)=Eu⋆A(u)=\mathcal{E}^{\star}_u, ξ=e0\xi=e_0 and this gg, the bounded measurable solution zz is given by zt=Φ(t)e0+∫[0,t]ΦE(t,u)gu duz_t=\Phi(t)e_0+\int_{[0,t]}\Phi^{\mathcal{E}}(t,u)g_u\,du, where Φ(t)=ΦE(t,0)\Phi(t)=\Phi^{\mathcal{E}}(t,0) because Ψ(0)=Il\Psi(0)=I_l by claim 2 of Fundamental Solution and Variation of Constants for Linear Ordinary Differential Equations. Adding mt\mathfrak{m}_t and splitting the integral by linearity gives the identity of claim 3; the integrands u↦ΦE(t,u)Eu⋆muu\mapsto\Phi^{\mathcal{E}}(t,u)\mathcal{E}^{\star}_u\mathfrak{m}_u and u↦ΦE(t,u)ρuu\mapsto\Phi^{\mathcal{E}}(t,u)\rho_u are bounded measurable by claim 2 of Variation of Constants with Bounded Measurable Forcing and the Two-Parameter Fundamental Solution.

Claim 4. By claim 3, et−ΦE(t,0)e0−Lt(m)=∫[0,t]ΦE(t,u)ρu due_t-\Phi^{\mathcal{E}}(t,0)e_0-L_t(\mathfrak{m})=\int_{[0,t]}\Phi^{\mathcal{E}}(t,u)\rho_u\,du, whose norm is at most ∫[0,t]∣ΦE(t,u)ρu∣ du≤Φˉ2∫[0,t]∣ρu∣ du\int_{[0,t]}|\Phi^{\mathcal{E}}(t,u)\rho_u|\,du\le\bar{\Phi}^{2}\int_{[0,t]}|\rho_u|\,du by Norm Bound for a Vector-Valued Lebesgue Integral over a Compact Interval, the bound ∣ΦE(t,u)y∣≤Φˉ2∣y∣|\Phi^{\mathcal{E}}(t,u)y|\le\bar{\Phi}^{2}|y| of the statement, and monotonicity of the integral.

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