Reason: Proof of lem:tracked-energy-density-measurable-2026a: product-measurability of the clock set and of the fluctuation processes on the regular event, continuity of the coefficient matrices, and Tonelli for the time-measurability of the expectations.
Proof
Throughout, measurable for a map on [0,T]×Ω means measurable with respect to B[0,T]⊗F and B(R), and a subset of [0,T]×Ω is called measurable when it belongs to B[0,T]⊗F. Fix k∈{0,…,K−1}.
Preliminaries.
Coordinate maps. Throughout, Γ denotes a generic Borel set, Γ∈B(R) (the letters B and S being the rate bound and the mean-field state trajectory of the adopted setting). The preimage of Γ under (s,ω)↦s is (Γ∩[0,T])×Ω, a measurable rectangle in the sense of the product σ-algebra definition, since Γ∩[0,T]∈B[0,T] and Ω∈F; so (s,ω)↦s is measurable. For a random variable X on (Ω,F,P) the preimage of Γ under (s,ω)↦X(ω) is [0,T]×X−1(Γ), again a measurable rectangle; so (s,ω)↦X(ω) is measurable. For D∈F the set [0,T]×D is a measurable rectangle, and its indicator (s,ω)↦1D(ω) is measurable by claim 1 of the arithmetic of measurable functions. For a function v:[0,T]→R continuous on [0,T], the map s↦v(s) is measurable with respect to B[0,T] by claim 4 of the measurability toolkit, and (s,ω)↦v(s) is measurable on [0,T]×Ω, the preimage of Γ being v−1(Γ)×Ω with v−1(Γ)∈B[0,T].
The clock set. By claim 2 of the block cascade lemma, σ(k) is a stopping time of the system filtration (Ftsys)t∈[0,T] with values in [tk,T]; by claim 1 of Stopping Times on a Compact Time Interval: Elementary Operations, the Prior Sigma-Algebra, Dyadic Approximation, Sampling, and Hitting Times, applied to that filtration, σ(k) is therefore measurable with respect to FTsys⊆F and B(R), that is, a random variable. By the same claim 2, Gk is an event and G0⊇G1⊇⋯⊇GK, while G0=Ω0 by the definition of the good sets in the setting of that lemma; so Gk⊆Ω0. By its claim 1, t0=0, tK=T and tk<tk+1, so [tk,tk+1] is a nondegenerate compact subinterval of [0,T]. The map (s,ω)↦σ(k)(ω)−s is measurable by the coordinate maps and claim 2 of the arithmetic lemma, so
Sk={(s,ω)∈[0,T]×Ω:s<σ(k)(ω)},
the preimage of the Borel set (0,∞) under it, is measurable, and
{(s,ω):ω∈Tk(s)}=([0,T]×Gk)∩Sk
is measurable, a σ-algebra being closed under intersections. Its indicator, which is the first map of claim 1, is therefore measurable by claim 1 of the arithmetic lemma.
The fluctuation processes on the regular event. By parts (b) and (c) of Joint Measurability of the State and Control of the Controlled N-Agent Dynamics, applied to the transition-rate family β with control set A, the family β~, the horizon T, the driving system, the policy h and the solution of the adopted setting, the maps (s,ω)↦1Ω0(ω)Σsγ(ω) and (s,ω)↦1Ω0(ω)αsj(ω) are measurable (that lemma names the trace Borel σ-algebra on [0,T] through the earlier version of the interval toolkit; it is the same family of sets S∩[0,T], S∈B(R)). Put, for (s,ω)∈[0,T]×Ω,
the second expressions by the definition of the fluctuation processes. Since s↦Ssγ and s↦Asj are continuous on [0,T], the maps (s,ω)↦1Ω0(ω)Ssγ and (s,ω)↦1Ω0(ω)Asj are measurable by the preliminaries and claim 3 of the arithmetic lemma, and hence each sˉγ and each aˉj is measurable by claim 2 of that lemma. These maps are bounded: Σs(ω) and Ss lie in the probability simplexΔl (the empirical state measure by the definition of a solution, S by the adopted setting), and any two points x,y of Δl satisfy ∣x−y∣≤2, because ∣xγ−yγ∣≤1 gives (xγ−yγ)2≤∣xγ−yγ∣≤xγ+yγ and so ∣x−y∣2≤2; hence ∣sˉs(ω)∣≤2N, where sˉs=(sˉs1,…,sˉsl). Likewise αs(ω) and As lie in A, the control being A-valued and A taking values in A by the adopted setting, so ∣αs(ω)−As∣≤∣αs(ω)∣+∣As∣≤2R by the triangle inequality of Elementary Properties of the Euclidean Norm on Rn and the definition of the control bound, whence ∣aˉs(ω)∣≤2NR with aˉs=(aˉs1,…,aˉsm).
Claim 1.
The near-field and far-field indicators. The map (s,ω)↦∣aˉs(ω)∣ is measurable by the composition lemma, the Euclidean norm being a sequentially continuous function on Rm (by claim 5 of Elementary Properties of the Euclidean Norm on Rn, ∣x∣−∣y∣≤∣x−y∣) and the components aˉj being measurable. Hence the set U={(s,ω):∣aˉs(ω)∣≤Nϱ}, the preimage of the Borel set (−∞,Nϱ], is measurable. For ω∈Tk(s)⊆Gk⊆Ω0 one has aˉs(ω)=as(ω), so
{(s,ω):ω∈Tknr(s)}={(s,ω):ω∈Tk(s)}∩U,
a measurable set, and its indicator, the second map of claim 1, is measurable. The third map is 1Tk(s)−1Tknr(s) at every point, Tk(s) being the disjoint union of Tknr(s) and Tkfr(s), hence measurable by claim 2 of the arithmetic lemma.
The energy density. Under (H1) and (H2), conclusion (a) of the completion-of-squares theorem gives that every Rt is symmetric positive definite, hence invertible, and that all entries of t↦Rt and of t↦Mt=Rt−1Wt⊤ are continuous on [0,T]; write Mtiγ (i∈{1,…,m}, γ∈{1,…,l}) for the entries of Mt. Define on [0,T]×Ω
Each uˉi is measurable, as a finite sum of products of measurable maps (the entries Msiγ being measurable as continuous functions of s, by the preliminaries), by claims 2 and 3 of the arithmetic lemma, and so is qˉ. For ω∈Ω0 one has aˉs(ω)=as(ω) and sˉs(ω)=ss(ω), hence uˉs(ω)=us(ω) and qˉs(ω)=us(ω)⋅Rsus(ω) by the entry pairing; since Tknr(s)⊆Ω0, the fourth map of claim 1 equals 1Tknr(s)(ω)qˉs(ω) at every point of [0,T]×Ω and is therefore measurable by claim 3 of the arithmetic lemma.
Nonnegativity and boundedness. By (H1), us⋅Rsus≥r∣us∣2≥0 at every point, so the fourth map is nonnegative. By the extreme value theorem fix reals CR≥0 and Cinv≥0 bounding in absolute value all entries of Rt and of Mt on [0,T]. Then at every point, using ∣aˉsi∣≤∣aˉs∣≤2NR and ∣sˉsγ∣≤∣sˉs∣≤2N, one has ∣uˉsi∣≤2NR+2lCinvN=:cu and hence ∣qˉs∣≤m2CRcu2=:Cu; since 0≤1Tknr(s)≤1, the bound 0≤1Tknr(s)us⋅Rsus≤Cu of claim 1 follows. This proves claim 1.
Claim 2. Let f be any one of the three maps (s,ω)↦1Tknr(s)(ω)us(ω)⋅Rsus(ω), (s,ω)↦1−1Tk(s)(ω) and (s,ω)↦1Tkfr(s)(ω). Each is measurable with respect to B[0,T]⊗F by claim 1 (the second by claims 1 and 2 of the arithmetic lemma), and each takes values in [0,C] with C=max(Cu,1). The measure spaces ([0,T],B[0,T],λ[0,T]) and (Ω,F,P) are finite, hence σ-finite: the first has total mass T by claim 1 of the interval toolkit, the second total mass 1. Regarded as a map into [0,∞], f is measurable in the sense required by Tonelli and Fubini Theorems — that of Lebesgue Integral of a Nonnegative Measurable Function (that theorem names the earlier version of the same definition item; the measurability clause used here is given there by the same words), namely {f>a}∈B[0,T]⊗F for every real a — since {f>a} is the preimage of the Borel set (a,∞), f being real-valued; that definition records that for real-valued functions its notion of measurability agrees with measurability with respect to B(R). By the Tonelli part of Tonelli and Fubini Theorems, the function F:s↦∫Ωf(s,ω)dP(ω), with the integral of nonnegative measurable functions, is measurable with respect to B[0,T] as a [0,∞]-valued function, that is, {F>a}∈B[0,T] for every real a; its values lie in [0,C] by the monotonicity of the integral and P(Ω)=1, so F is real-valued and, by the agreement just recalled, measurable with respect to B[0,T] and B(R). At each s the section f(s,⋅) is measurable by the sections part of the Tonelli theorem, nonnegative and bounded, hence a bounded random variable, and F(s) is its expectationE[f(s,⋅)], which that definition sets equal to the integral of the nonnegative function f(s,⋅) with respect to P. This gives the measurability on [0,T] of the three functions of claim 2, and their values are real numbers in [0,C]. For the restriction to the block [tk,tk+1], a nondegenerate compact subinterval of [0,T] as noted in the preliminaries: if g:[0,T]→R is measurable with respect to B[0,T] and Γ∈B(R), then g−1(Γ)=Γ′∩[0,T] for some Γ′∈B(R) (the class of sets Γ′∩[0,T] with Γ′ Borel being exactly B[0,T]), so the preimage of Γ under the restriction of g to [tk,tk+1] is g−1(Γ)∩[tk,tk+1]=Γ′∩[0,T]∩[tk,tk+1]=Γ′∩[tk,tk+1]∈B[tk,tk+1]; hence the restriction is measurable with respect to B[tk,tk+1].