Each result cited is universally quantified over the data in its own statement. Throughout, D is a nonempty subset of P2(Rd): it contains DΣ by Penalty Pairs on the Wasserstein Space: the Penalty, Its Score, and Their Domains §pair, and DΣ is nonempty by Penalty Pairs on the Wasserstein Space: the Penalty, Its Score, and Their Domains §nonempty.
Proof of clause 1. The set S={E(σ):σ∈D} is a nonempty set of real numbers bounded below by e0, so it has a greatest lower bound s by Existence of the Infimum of a Nonempty Subset of R Bounded Below, unique by Uniqueness of the Supremum and of the Infimum. Put c=s+1 and K={σ∈D:E(σ)≤c}, which is sequentially compact in (P2(Rd),W2) by Wasserstein-Coercive Penalty Pairs §coercive.
For each n∈N the number n1 is positive (claim 7 of Elementary Order Arithmetic in an Ordered Field), so by Approximation Property of the Supremum and the Infimum in R there is σn∈D with E(σn)<s+n1. Since 1≤n for every n∈N by claim 4 of Properties of the Order on the Natural Numbers, we have n1≤1 by claims 4 and 5 of Elementary Arithmetic in an Ordered Field, so E(σn)<c and σn∈K.
By Sequentially Compact Subset of a Metric Space there are a strictly increasing φ:N→N and μmin∈K such that the sequence whose k-th term is σφ(k) converges to μmin in (P2(Rd),W2). In particular μmin∈D, so s≤E(μmin).
Let ϵ∈R be positive. Since E is lower semicontinuous on D relative to D, Lower Semicontinuous Function on a Subset of a Metric Space provides a positive ρ∈R such that every σ∈D with W2(σ,μmin)<ρ satisfies E(μmin)−ϵ<E(σ). By The Archimedean Property of the Real Numbers choose m∈N with ϵ1≤m, so that m1≤ϵ (claims 4 and 5 of Elementary Arithmetic in an Ordered Field); by convergence and by k≤φ(k) (Strictly Increasing Sequences of Natural Numbers Dominate Their Index) there is k∈N with m≤φ(k) and W2(σφ(k),μmin)<ρ. Then, using φ(k)1≤m1≤ϵ,
E(μmin)−ϵ<E(σφ(k))<s+φ(k)1≤s+ϵ,
so E(μmin)<s+2ϵ by claim 1 of Elementary Order Arithmetic in an Ordered Field. As ϵ was an arbitrary positive real number, Comparison of Real Numbers with Arbitrary Positive Slack gives E(μmin)≤s, whence E(μmin)=s. Since s is a lower bound of S, E(μmin)≤E(σ) for every σ∈D.
Proof of clause 2. Since (Ω,F,P) is rich and D is nonempty, The Wasserstein Distance and the Mean-Square Distance of Random Vectors §onto provides, for a chosen σ∈D, an X∈L2(Ω;Rd) with L(X)=σ; then X∈DΛ by Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation §preimages, so DΛ is nonempty.
Let X∈DΛ and put σ=L(X)∈D. Then u^(X)=u(σ)−δE(σ) and v^(X)=v(σ)+δE(σ). From e0≤E(σ) and 0<δ we get δe0≤δE(σ) by claim 5 of Elementary Arithmetic in an Ordered Field. Two weak inequalities may be added: if x≤y and x′≤y′ then 0≤y−x and 0≤y′−x′ by claim 3 of Elementary Arithmetic in an Ordered Field, so 0≤(y−x)+(y′−x′) by claim 2 of that lemma, and this number is (y+y′)−(x+x′), so that x+x′≤y+y′ by claim 3 again. Adding u(σ)≤b and δe0≤δE(σ) in this way gives u(σ)+δe0≤b+δE(σ), and claim 3 of Elementary Arithmetic in an Ordered Field turns this into u^(X)=u(σ)−δE(σ)≤b−δe0, the two differences (b+δE(σ))−(u(σ)+δe0) and (b−δe0)−(u(σ)−δE(σ)) being equal. Adding b′≤v(σ) and δe0≤δE(σ) in the same way gives b′+δe0≤v(σ)+δE(σ)=v^(X), whence −v^(X)≤−b′−δe0 by claim 4 of Elementary Order Arithmetic in an Ordered Field.
Proof of clause 3. We verify the condition of Functions with Closed Superlevel Sets: Sequential Characterisation, Semicontinuity, Perturbation and Limits §sequential for u^, the metric space being (L2(Ω;Rd),dL2) and the subset DΛ. Let (Xn)n∈N be a sequence in DΛ converging to X∈L2(Ω;Rd) and let t∈R satisfy t≤u^(Xn) for every n. Write σn=L(Xn)∈D and σ=L(X)∈P2(Rd).
The laws lie in a sequentially compact set. For every n, t≤u(σn)−δE(σn)≤b−δE(σn), so δE(σn)≤b−t and hence E(σn)≤c, where c=δ−1(b−t), by claims 4, 5 and 7 of Elementary Arithmetic in an Ordered Field and claim 7 of Elementary Order Arithmetic in an Ordered Field. Thus every σn lies in K={τ∈D:E(τ)≤c}, which is sequentially compact in (P2(Rd),W2) by Wasserstein-Coercive Penalty Pairs §coercive.
The limit lies in DΛ. By The Wasserstein Distance and the Mean-Square Distance of Random Vectors §inequality, W2(σn,σ)≤∥Xn−X∥L2 for every n; since the right-hand side converges to 0 and W2(σn,σ) is nonnegative, the sequence whose n-th term is σn converges to σ in (P2(Rd),W2), by Convergent Sequence in a Metric Space and Order Properties of Limits of Real Sequences. By Sequentially Compact Subset of a Metric Space some subsequence of (σn)n∈N converges to a point τ∈K; that subsequence also converges to σ by A Subsequence of a Convergent Sequence Has the Same Limit, and limits in a metric space are unique by Uniqueness of Limits in a Metric Space, so σ=τ∈K⊆D. Hence X∈DΛ by Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation §preimages, and u^(X) is defined.
The value passes to the limit. Let ϵ∈R be positive. Since u is upper semicontinuous on P2(Rd) relative to P2(Rd), Upper Semicontinuous Function on a Subset of a Metric Space provides a positive ρ1 with u(τ)<u(σ)+ϵ for every τ∈P2(Rd) with W2(τ,σ)<ρ1; since E is lower semicontinuous on D relative to D by Basic Properties of a Wasserstein-Coercive Penalty Pair §lsc, Lower Semicontinuous Function on a Subset of a Metric Space provides a positive ρ2 with E(σ)−ϵ<E(τ) for every τ∈D with W2(τ,σ)<ρ2. Let ρ be the least of ρ1 and ρ2 (claim 9 of Elementary Order Arithmetic in an Ordered Field), which is positive, and choose n with W2(σn,σ)<ρ. Then
t ≤ u(σn)−δE(σn) < (u(σ)+ϵ)−δ(E(σ)−ϵ) = u^(X)+(1+δ)ϵ,
using claim 5 of Elementary Arithmetic in an Ordered Field to multiply E(σ)−ϵ<E(σn) by the positive δ, claim 4 of Elementary Order Arithmetic in an Ordered Field to reverse the sign, and claim 3 of Elementary Order Arithmetic in an Ordered Field to add. As ϵ was an arbitrary positive real number and 1+δ is positive, Comparison of Real Numbers with Arbitrary Positive Slack gives t≤u^(X). By Functions with Closed Superlevel Sets: Sequential Characterisation, Semicontinuity, Perturbation and Limits §sequential, u^ has closed superlevel sets in L2(Ω;Rd).
For −v^ the argument is the same, with two changes: from t≤−v^(Xn)=−v(σn)−δE(σn)≤−b′−δE(σn) one gets E(σn)≤δ−1(−b′−t), which again places the laws in a sequentially compact sublevel set; and in the last step the lower semicontinuity of v gives a positive ρ1 with v(σ)−ϵ<v(τ), hence −v(τ)<−v(σ)+ϵ, for τ within ρ1 of σ.
Proof of clause 4. By clause 2 the set DΛ is nonempty, and u^ and −v^ are bounded above there; by clause 3 they have closed superlevel sets in L2(Ω;Rd). Let Φ0:DΛ×DΛ→R have value u^(X)+(−v^)(Y)−2α∥X−Y∥L22 at (X,Y). By Closed Superlevel Sets of a Sum on a Product Space and of a Doubled Function §doubled, applied with L2(Ω;Rd) in the role of the space written H there, with S1=S2=DΛ, with u1=u^ and u2=−v^, the function Φ0 has closed superlevel sets in L2(Ω;Rd)×L2(Ω;Rd).
The function g on L2(Ω;Rd)×L2(Ω;Rd) with value μ∣ζ−q∣2 at ζ is continuous: the map ζ↦∣ζ−q∣ is continuous by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity and The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §lipschitz, and claims 1, 3 and 4 of Continuity of Sums and Products of Real-Valued Functions on a Metric Space give the continuity of its square and of the constant multiple. Since Ψ(X,Y)=Φ0(X,Y)−g(X,Y), Functions with Closed Superlevel Sets: Sequential Characterisation, Semicontinuity, Perturbation and Limits §perturbation shows that Ψ has closed superlevel sets in L2(Ω;Rd)×L2(Ω;Rd).
Finally, for (X,Y)∈DΛ×DΛ the numbers 2α∥X−Y∥L22 and μ∣(X,Y)−q∣2 are nonnegative, α and μ being nonnegative and squares of norms being nonnegative (claim 5 of Elementary Arithmetic in an Ordered Field), so by clause 2 and claims 2 and 3 of Elementary Arithmetic in an Ordered Field,
Ψ(X,Y) ≤ u^(X)−v^(Y) ≤ (b−δe0)+(−b′−δe0) = b−b′−2δe0.