Reason: First published proof of lem:cost-weak-lower-semicontinuity-2026a: convex, strongly closed sublevel sets (dominated convergence), Mazur for the level form, then extraction along the limit inferior.
Claim 1. Let S be an admissible state path, let ξ∈UA and let u be a normalized representative of ξ. Put
E={(Σ,α)∈Rl+m:Σ∈Δl,α∈A},
a nonempty subset of Rl+m, and let g:E→R be given by g(Σ,α)=L(Σ,α). The map g is sequentially continuous on E: if (Σn,αn)∈E and (Σ,α)∈E with the Euclidean distancesd((Σn,αn),(Σ,α)) converging to 0, then, since the squared distance is the sum of the squared distances of the two blocks of coordinates, d(Σn,Σ) and d(αn,α) converge to 0 as well, so claim 1 of Population Cost Data gives L(Σn,αn)→L(Σ,α).
If u′ is another normalized representative of ξ, then u=u′ off a set of measure zero, so the two integrands agree off a set of measure zero and the two integrals coincide. Hence ΦS(ξ) is well defined.
with C as in the preliminaries. This bound does not depend on S or on ξ, so for sequences (Sn) of admissible state paths and (ξn) in UA one has ∣ΦSn(ξn)∣≤CT<CT+1 for every n, with CT+1>0; hence the real sequence (ΦSn(ξn))n is a bounded sequence, and the limit inferiors appearing in claims 3 and 4 are defined.
By claim 2 of Completeness of the Lebesgue Space of Square-Integrable Vector-Valued Functions there are natural numbers n1<n2<… and a set N∈B with λ(N)=0 such that (unj(t))j converges to u(t) in Rm for every t∈[0,T]∖N. Define u~j(t)=unj(t) for t∈/N and u~j(t)=u(t) for t∈N; each u~j is a normalized representative of [unj] (it differs from unj only on N, and all its values lie in A), and now u~j(t)→u(t) for everyt∈[0,T].
By the sequential continuity established in claim 1, L(St,u~j(t))→L(St,u(t)) for every t∈[0,T]; all these functions are measurable by claim 1 and satisfy L(St,u~j(t))≤C, and the constant function C is integrable on ([0,T],B,λ) because λ([0,T])=T<∞. By Dominated Convergence Theorem,
Each term satisfies ΦS([unj])≤M, so ΦS(ζ)≤M by Order Properties of Limits of Real Sequences, comparing with the constant sequence M. Hence ζ∈CM. So the closure of CM is contained in CM; as it also contains CM and is closed, CM is closed.
This holds for every real ε>0, so ΦS(ξ)≤ℓ: otherwise ε=(ΦS(ξ)−ℓ)/2 is positive and yields ΦS(ξ)≤ℓ+21(ΦS(ξ)−ℓ)<ΦS(ξ), which is false.
Claim 4. Put ℓ′=liminfnΦSn(ξn), which is defined by claim 1. Let ε>0 be real. By claim 2 of Boundedness and Uniform Continuity of Population Cost Data on a Compact Control Set there is a real δ>0 such that ∣L(Σ,α)−L(Σ′,α)∣≤ε whenever Σ,Σ′∈Δl satisfy ∣Σ−Σ′∣≤δ and α∈A. By hypothesis there is N0∈N with ∣Stn−St∣≤δ for every t∈[0,T] and every n≥N0. Fix n≥N0 and a normalized representative un of ξn. Then L(St,un(t))≤L(Stn,un(t))+ε for every t, so by monotonicity and linearity of the integral (Linearity and Monotonicity of the Lebesgue Integral) and λ([0,T])=T,
Consider the sequence ζi=ξnN0+i−1 (i∈N), which lies in UA and satisfies ΦS(ζi)<ℓ′+ε(1+T) for every i. For every v∈H the real sequence (⟨ζi,v⟩L2)i is a subsequence of (⟨ξn,v⟩L2)n, the index map i↦nN0+i−1 being strictly increasing, hence has the same limit ⟨ξ,v⟩L2 by the fact that a subsequence of a convergent sequence has the same limit; so ζi⇀ξ. The level form established in claim 3, applied to (ζi)i with the bound ℓ′+ε(1+T), gives ξ∈UA and ΦS(ξ)≤ℓ′+ε(1+T).
This holds for every real ε>0. If ΦS(ξ)>ℓ′, then ε=(ΦS(ξ)−ℓ′)(2(1+T))−1 is positive and yields ΦS(ξ)≤ℓ′+21(ΦS(ξ)−ℓ′)<ΦS(ξ), which is false. Hence ΦS(ξ)≤ℓ′=liminfnΦSn(ξn).