TheoremBase

Linearisation of a Perturbed Controlled Aggregate Flow Along a Comparison Pair: Exact Variation-of-Constants Identity and Residual Bound

Statement

Adopt the setting and notation of Shared-Clock Point Insertion into the Open-Loop Aggregate Solution: Exact Response Identity, Crude Bound, and Linearisation Defect as far as the following objects are concerned: natural numbers l≥2l\ge2 and m≥1m\ge1, a nonempty subset A\mathcal{A} of Euclidean space Rm\mathbb{R}^m, real numbers B≥0B\ge0 and T>0T>0, a transition-rate family β\beta on ll states with control set A\mathcal{A} and rate bound BB, a twice continuously differentiable extension (U,V,βˉ)(U,V,\bar{\beta}) of β\beta with derivative bound KK, the probability simplex Δl\Delta^l, the set L\mathcal{L} of transition labels c=(σ,γ)c=(\sigma,\gamma) with their vectors vc=δγ−δσv_c=\delta_\gamma-\delta_\sigma, the label rates ψc\psi_c, state gradients gcg^{c} and drift Jacobian E\mathcal{E} on U×VU\times V, and the constant Λ2=32(l+m)K\Lambda_2=\tfrac32(l+m)K. Put

Λ3=3Kl(l+m),ΛE=2 l(l−1)l (B+K),\Lambda_3=3K\sqrt{l(l+m)},\qquad \Lambda_{\mathcal{E}}=\sqrt{2}\,l(l-1)\sqrt{l}\,(B+K),

and define the drift b:Δl×A→Rlb:\Delta^l\times\mathcal{A}\to\mathbb{R}^l by b(Σ,α)=∑c∈Lvc ψc(Σ,α)b(\Sigma,\alpha)=\sum_{c\in\mathcal{L}}v_c\,\psi_c(\Sigma,\alpha). Write ∣⋅∣|\cdot| for the Euclidean norm, x⋅yx\cdot y for the dot product, MyMy for the matrix-vector product, and ∫[0,t]⋅ du\int_{[0,t]}\cdot\,du for the componentwise Lebesgue integral over the compact interval [0,t][0,t] (equal to 00 for t=0t=0); a map from [0,T][0,T] into a Euclidean space is bounded measurable when its components are bounded and measurable with respect to the trace Borel σ\sigma-algebra on [0,T][0,T] and the Borel σ\sigma-algebra of the real line, and measurable when its components are measurable in this sense.

Comparison pair. Let S:[0,T]→ΔlS:[0,T]\to\Delta^l and A:[0,T]→A\mathsf{A}:[0,T]\to\mathcal{A} be measurable maps such that every entry of u↦Eu⋆:=E(Su,Au)u\mapsto\mathcal{E}^{\star}_u:=\mathcal{E}(S_u,\mathsf{A}_u) is continuous on [0,T][0,T], the interval being regarded as a subset of the real line with the absolute value metric and R\mathbb{R} carrying the same metric. Let ΦE(t,u)\Phi^{\mathcal{E}}(t,u) (t,u∈[0,T]t,u\in[0,T]) be the two-parameter fundamental solution of u↦Eu⋆u\mapsto\mathcal{E}^{\star}_u on [0,T][0,T], and let Φˉ≥0\bar{\Phi}\ge0 be a real number with ∣ΦE(t,u)y∣≤Φˉ2∣y∣|\Phi^{\mathcal{E}}(t,u)y|\le\bar{\Phi}^{2}|y| for all t,u∈[0,T]t,u\in[0,T] and y∈Rly\in\mathbb{R}^l; such a number exists by claim 1 of that lemma.

Perturbed and unperturbed paths. Let a:[0,T]→Aa:[0,T]\to\mathcal{A} be a measurable map (the control path), let x,y:[0,T]→Δlx,y:[0,T]\to\Delta^l be measurable maps, and let m:[0,T]→Rl\mathfrak{m}:[0,T]\to\mathbb{R}^l be bounded measurable (the perturbation; the fraktur letter is unrelated to the control dimension mm), such that for every t∈[0,T]t\in[0,T]

xt=x0+∫[0,t]b(xu,au) du+mt,yt=y0+∫[0,t]b(yu,au) du,x_t=x_0+\int_{[0,t]}b(x_u,a_u)\,du+\mathfrak{m}_t,\qquad y_t=y_0+\int_{[0,t]}b(y_u,a_u)\,du,

the integrands being bounded measurable by claim 1 (taking t=0t=0 shows m0=0\mathfrak{m}_0=0). Put et=xt−yte_t=x_t-y_t and define the residual, the control-gradient discrepancy and the linear response by

ρu=b(xu,au)−b(yu,au)−Eu⋆ eu,du=∑c∈L∣gc(Su,au)−gc(Su,Au)∣,Lt(m)=mt+∫[0,t]ΦE(t,u) Eu⋆ mu du.\rho_u=b(x_u,a_u)-b(y_u,a_u)-\mathcal{E}^{\star}_u\,e_u,\qquad \mathsf{d}_u=\sum_{c\in\mathcal{L}}\bigl|g^{c}(S_u,a_u)-g^{c}(S_u,\mathsf{A}_u)\bigr|,\qquad L_t(\mathfrak{m})=\mathfrak{m}_t+\int_{[0,t]}\Phi^{\mathcal{E}}(t,u)\,\mathcal{E}^{\star}_u\,\mathfrak{m}_u\,du .

1. (The drift and its measurable compositions.) bb is the aggregate state drift of β\beta; recall from the adopted setting that E(Σ,α)z=∑c∈Lvc (gc(Σ,α)⋅z)\mathcal{E}(\Sigma,\alpha)z=\sum_{c\in\mathcal{L}}v_c\,(g^{c}(\Sigma,\alpha)\cdot z) for (Σ,α)∈U×V(\Sigma,\alpha)\in U\times V and z∈Rlz\in\mathbb{R}^l. For all (Σ,α)∈Δl×A(\Sigma,\alpha)\in\Delta^l\times\mathcal{A} and z∈Rlz\in\mathbb{R}^l: ∣b(Σ,α)∣≤2 l(l−1)B|b(\Sigma,\alpha)|\le\sqrt{2}\,l(l-1)B, ∣gc(Σ,α)∣≤l (B+K)|g^{c}(\Sigma,\alpha)|\le\sqrt{l}\,(B+K) and ∣E(Σ,α)z∣≤ΛE∣z∣|\mathcal{E}(\Sigma,\alpha)z|\le\Lambda_{\mathcal{E}}|z|. For every measurable Δl\Delta^l-valued x′x' and measurable A\mathcal{A}-valued a′a' on [0,T][0,T], the maps u↦b(xu′,au′)u\mapsto b(x'_u,a'_u), u↦gc(xu′,au′)u\mapsto g^{c}(x'_u,a'_u) and the entries of u↦E(xu′,au′)u\mapsto\mathcal{E}(x'_u,a'_u) are bounded measurable; in particular u↦duu\mapsto\mathsf{d}_u is bounded measurable with 0≤du≤2l(l−1)l (B+K)0\le\mathsf{d}_u\le2l(l-1)\sqrt{l}\,(B+K).

2. (Residual bound.) u↦ρuu\mapsto\rho_u is bounded measurable, and for every u∈[0,T]u\in[0,T]

∣ρu∣ ≤ 2 l(l−1) Λ2 ∣eu∣2+2 l(l−1) Λ3 ∣yu−Su∣ ∣eu∣+2 du ∣eu∣.|\rho_u|\ \le\ \sqrt{2}\,l(l-1)\,\Lambda_2\,|e_u|^{2}+\sqrt{2}\,l(l-1)\,\Lambda_3\,|y_u-S_u|\,|e_u|+\sqrt{2}\,\mathsf{d}_u\,|e_u| .

3. (Exact variation-of-constants identity.) For every t∈[0,T]t\in[0,T],

et=ΦE(t,0) e0+Lt(m)+∫[0,t]ΦE(t,u) ρu du,e_t=\Phi^{\mathcal{E}}(t,0)\,e_0+L_t(\mathfrak{m})+\int_{[0,t]}\Phi^{\mathcal{E}}(t,u)\,\rho_u\,du ,

all integrands being bounded measurable.

4. (Linearisation bound.) For every t∈[0,T]t\in[0,T],

∣et−ΦE(t,0) e0−Lt(m)∣ ≤ Φˉ2∫[0,t]∣ρu∣ du.\bigl|e_t-\Phi^{\mathcal{E}}(t,0)\,e_0-L_t(\mathfrak{m})\bigr|\ \le\ \bar{\Phi}^{2}\int_{[0,t]}|\rho_u|\,du .

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