Reason: Proof of the shared-clock insertion response lemma: the perturbed clock is a counting path; the label rates are twice continuously differentiable with explicit first and second derivative bounds on the simplex times the control set; the exact response identity follows from the state identity; the crude bound from a bootstrap on the window length closed by Gronwall's lemma for bounded measurable functions; and the linearisation defect from the second-order Taylor bound together with the discrepancy hypothesis. Internally reviewed twice.
Proof
Throughout, c=(σ,γ) denotes a label, 1E the indicator of a set E, and πσ the coordinate map x↦xσ on U×V. Two elementary facts are used repeatedly. (F1) The simplex is convex: if x,y∈Δl and τ∈[0,1] then x+τ(y−x) has nonnegative coordinates ((1−τ)xγ+τyγ≥0) summing to (1−τ)+τ=1, so it lies in Δl; hence for x,y∈Δl and α∈A the segment between (x,α) and (y,α) lies in Δl×A⊆U×V, and the Euclidean distance between these two points is ∣y−x∣. (F2) Piecewise constant maps are measurable: by condition 1 of Open-Loop Aggregate Solution Driven by Aggregate Transition Clocks each component of Σ, of Σ+ and hence of Y is a finite sum of constants times indicators of subintervals of [0,T], which is measurable by claims 1 and 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions and bounded because Σs,Σs+∈GN⊆Δl have coordinates in [0,1]; and if F is a function on U×V that is sequentially continuous on Δl×A, then s↦F(Σs,as) and s↦F(Σs+,as) are measurable by Sequentially Continuous Functions of Measurable Euclidean Maps are Measurable, the components of s↦(Σs,as) and of s↦(Σs+,as) being measurable; they are bounded whenever F is bounded on Δl×A.
Step 1 (Claim 1).The perturbed clock family. Put ν(u)=#{k:uk≤u}, so p+,c0=pc0+ν. The map ν takes values in {0,…,m}, vanishes at 0 (as every uk>0), is nondecreasing, and is right-continuous: for u≥0 let ϵ>0 be smaller than every positive difference uk−u; then ν(s)=ν(u) for s∈[u,u+ϵ). Its left limit is ν(u−)=#{k:uk<u}, so ν(u)−ν(u−)=#{k:uk=u}≤1, the uk being distinct. The sum of two nondecreasing right-continuous functions is nondecreasing and right-continuous (the greatest lower bound over s>u of a sum of two nondecreasing functions is the sum of the greatest lower bounds), its left limits add, and p+,c0(u)−p+,c0(u−)=(pc0(u)−pc0(u−))+(ν(u)−ν(u−)): if u=uk for some k, then u is not a jump time of pc0, so the first difference is 0 and the sum is 1; otherwise the second difference is 0 and the sum is at most 1. Also p+,c0 takes values in N0 as a sum of two such functions. Thus p+,c0 satisfies all four conditions of Counting Path and Its Jump Times, and since p+,c=pc for c=c0, p+ is a clock family. We also record that ∣vc∣=2 for every label: vc=δγ−δσ with γ=σ has two coordinates equal to ±1 and the others 0, so ∣vc∣2=2 by Euclidean Norm on Rn; and that for vectors y1,…,yn∈Rl and reals λ1,…,λn one has ∣∑iλiyi∣≤∑i∣λi∣∣yi∣, by induction on n from claims 6 (triangle inequality) and 5 (absolute homogeneity) of Elementary Properties of the Euclidean Norm on Rn. Also p+,c0(0)=pc0(0)+ν(0)=0, and a maximum of finitely many continuous real functions is continuous, being obtained by iterating max(f,g)=21(f+g+∣f−g∣).
the second by applying claim 1 to the sum 1{i=σ}βˉ+πσ∂iβˉ (all partial derivatives involved existing, βˉ being C2). At points of Δl×A one has 0≤Σσ≤1 and 0≤βˉ(σ,γ,x)=β(σ,γ,Σ,α)≤B (conditions 1 of the extension and of Transition-Rate Family), and all partial derivatives of βˉ of order one and two are bounded by K (condition 3 of the extension), so ∣∂iψc∣≤B+K and ∣∂j∂iψc∣≤K+K+K=3K there. The identity ψc=Σσβ(σ,γ,Σ,α) on Δl×A is condition 1 of the extension, and the formula for Ctc is then the definition of the consumed clock times, Σs∈GN⊆Δl and as∈A.
Measurability. The map s↦Ys is bounded and its components are measurable, by (F2). Each ∂ηψc is continuous on U×V (a C2 map has continuous first partial derivatives, by clauses 1 and 2 of C^k Maps on a Euclidean Open Set), hence sequentially continuous on Δl×A, so s↦∂ηψc(Σs,as) is measurable by (F2) and bounded by B+K; the components of s↦E(Σs,as)Ys are finite sums of products of such maps with the components of Y, hence bounded and measurable by claims 2 and 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions.
Exact identity. By condition 2 of Open-Loop Aggregate Solution Driven by Aggregate Transition Clocks for the two solutions, Σt+−Σt=N1∑cvc(Nt+,c−Ntc), with Ntc=pc(Ctc), Nt+,c=p+,c(Ct+,c)=pc(Ct+,c) for c=c0, and Nt+,c0=pc0(Ct+,c0)+ν(Ct+,c0)=pc0(Ct+,c0)+ιt. Multiplying by N gives the displayed identity, and 0≤ιt≤m is clear.
Step 2 (Claim 2). Assume Λ1TA0<L; since A0>0, this forces L>0. Put Wt=maxc∣Ct+,c−Ctc∣ for t∈[0,T]; by claim 2(a) of Existence, Uniqueness, Causality, and Measurability of the Open-Loop Aggregate Solution for both solutions, each t↦∣Ct+,c−Ctc∣ is continuous on [0,T] (the absolute value of a difference of continuous functions), hence so is W (a maximum of finitely many continuous functions), W0=0, and every level Ctc, Ct+,c lies in [0,NBT]⊆[0,R]. Let S={t∈[0,T]:Ws≤L for all s∈[0,t]} and let t∗ be its least upper bound; 0∈S, S is an interval containing [0,t∗), and Wt∗≤L by continuity, so t∗∈S; moreover t∗>0 by continuity and W0=0<L.
For t∈[0,t∗] and every label c the two levels Ctc,Ct+,c bound a window in [0,R] of length Wt≤L, so hypothesis (D) gives ∣pc(Ct+,c)−pc(Ctc)∣≤∣Ct+,c−Ctc∣+D (if Ct+,c<Ctc apply (D) to the window [Ct+,c,Ctc] and change signs). By the exact identity of claim 1, the triangle inequality for finite sums and ∣vc∣=2 (both recorded in Step 1), ιt≤m, and the consumed-time bound of claim 1,
The function u(t)=∣Yt∣ restricted to [0,t∗] is bounded and measurable with respect to the trace Borel σ-algebra of [0,t∗] (Step 1; the trace σ-algebra of [0,t∗] consists of the sets S′∩[0,t∗] with S′ in the trace Borel σ-algebra of [0,T]), so Gronwall's Lemma for Bounded Measurable Functions, applied on [0,t∗] (with t∗>0 in the role of T there) with a=2(m+l(l−1)D) and the constant 2l(l−1)Λ1≥0, yields ∣Yt∣≤aexp(2l(l−1)Λ1t)≤A0 for t∈[0,t∗], exp being nondecreasing (claim 4 of Basic Properties of the Exponential Function). Consequently, by the consumed-time bound of claim 1 and monotonicity of the integral, Wt∗≤Λ1∫[0,t∗]∣Ys∣ds≤Λ1t∗A0≤Λ1TA0<L. If t∗<T, then, since Wt∗<L strictly, continuity of W at t∗ would give ϵ>0 with t∗+ϵ≤T and Ws<L for all s∈[t∗,t∗+ϵ]; together with Ws≤L on [0,t∗] this yields t∗+ϵ∈S, contradicting the definition of t∗. Hence t∗=T, and the two bounds of claim 2 hold on all of [0,T] (the bound on Wt by the same computation with t in place of t∗).
Step 3 (Claim 3). Assume Λ1TA0<L, so that claim 2 applies. Fix s∈[0,T] and a label c. Part (ii) of Multivariate Taylor Expansion with Uniform Second-Order Remainder, applied on O=U×V to f=ψc (of class C2), the points x=(Σs,as) and y=(Σs+,as), whose segment lies in Δl×A by (F1), and M2=3K (Step 1), gives, with h=y−x=(Σs+−Σs,0), whose coordinates hi vanish for i>l,
Define ρsc=N(ψc(Σs+,as)−ψc(Σs,as))−gc(Σs,as)⋅Ys, a bounded measurable function of s (Step 1 and (F2)) with ∣ρsc∣≤Λ2∣Ys∣2/N≤Λ2A02/N by claim 2. Integrating (linearity),
the last bound by Norm Bound for a Vector-Valued Lebesgue Integral over a Compact Interval, monotonicity, and the value t≤T of the restricted Lebesgue measure of [0,t]. Next put dtc=pc(Ct+,c)−pc(Ctc)−(Ct+,c−Ctc); by claim 2 the two levels bound a window in [0,R] of length at most Λ1TA0<L, so hypothesis (D) gives ∣dtc∣≤D (when Ct+,c<Ctc, apply (D) to the window [Ct+,c,Ctc] and note that dtc changes sign). Substituting into the exact identity of claim 1,
where dt=∑cvc(∫[0,t]ρscds+dtc) and where we used, for each coordinate γ, linearity of the integral to write ∑cvcγ∫[0,t]gc(Σs,as)⋅Ysds=∫[0,t]∑cvcγgc(Σs,as)⋅Ysds=∫[0,t](E(Σs,as)Ys)γds, by the definition of E. Finally, by the triangle inequality for finite sums and ∣vc∣=2 (Step 1), ∣dt∣≤2∑c(Λ2TA02/N+D)=2l(l−1)(D+Λ2TA02/N).