Each result cited is universally quantified over the data in its own statement. We write W for Wa, which is a metric on Pρa by The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §metric; so W is nonnegative, symmetric, vanishes on the diagonal and satisfies the triangle inequality (Metric Space). For c∈R we write Dc={σ∈D:E(σ)≤c}, as in Basic Properties of a Noise-Closed Noise Penalty Pair: Lower Bound, Lower Semicontinuity, Complete Sublevel Sets and Bounded Distances. Elementary real arithmetic and order, including squares of nonnegative reals and suprema, are used through The Real Numbers: Standing Notation and Background §background and The Real Numbers: Standing Notation and Background §bounds. The letter X keeps its meaning from the setting (the Hilbert space), so the complete metric space built in Step 6 is called Z.
Step 0 (Envelope facts). As recorded in the statement, u has penalty-subordinate growth from above and v from below, by Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §growth. Let δ∈R be positive. By Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §semicontinuity, uδ− is upper semicontinuous and vδ+ lower semicontinuous on D relative to D in (Pρa,W), and
u(σ)−δE(σ)≤uδ−(σ),vδ+(σ)≤v(σ)+δE(σ)(σ∈D).(0.1)
By Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §bounded, applied to u with the bound b and to v with the bound b′ (the pair being noise-closed),
uδ−(σ)≤b−δE(σ),b′+δE(σ)≤vδ+(σ)(σ∈D).(0.2)
Finally δe0≤δE(σ) for every σ∈D, by the choice of e0 and the positivity of δ.
Step 1 (Clause bounds). Let δ,α be positive and (μ,ν)∈D×D. Since 2αW(μ,ν)2≥0, (0.2) gives Ψδ,α(μ,ν)≤b−δE(μ)−b′−δE(ν), and Step 0 gives −δ(E(μ)+E(ν))≤−2δe0; this is the displayed chain of clause bounds. The set of values of Ψδ,α is nonempty because D×D is (as noted in the statement), and it is bounded above by b−b′−2δe0, so its supremum M(δ,α) is a real number by The Real Numbers: Standing Notation and Background §bounds. As M(δ,α) is an upper bound of these values,
Ψδ,α(μ,ν)≤M(δ,α)for all (μ,ν)∈D×D.(1.1)
Step 2 (Clause diagonal). Let δ,α be positive and μ∈D. Since W(μ,μ)=0, (0.1) gives Ψδ,α(μ,μ)=uδ−(μ)−vδ+(μ)≥u(μ)−δE(μ)−v(μ)−δE(μ), and (1.1) gives Ψδ,α(μ,μ)≤M(δ,α). Hence u(μ)−v(μ)−2δE(μ)≤M(δ,α).
Step 3 (Clause weight). Let 0<δ′<δ, 0<α, 0≤τ and let (μ,ν)∈D×D satisfy M(δ,α)−τ≤Ψδ,α(μ,ν). By Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §monotone, read with δ′ and δ in the roles of its smaller and larger weight (its hypotheses hold by Step 0 and since the pair is noise-closed),
uδ−(μ)+(δ−δ′)E(μ)≤uδ′−(μ),vδ′+(ν)≤vδ+(ν)−(δ−δ′)E(ν).
Subtracting the second from the first and then subtracting 2αW(μ,ν)2, and using (1.1) for δ′,
M(δ′,α)≥Ψδ′,α(μ,ν)≥Ψδ,α(μ,ν)+(δ−δ′)(E(μ)+E(ν))≥M(δ,α)−τ+(δ−δ′)(E(μ)+E(ν)).
Step 4 (Clause strength). Let 0<δ, 0<α′<α, 0≤τ and let (μ,ν)∈D×D satisfy M(δ,α)−τ≤Ψδ,α(μ,ν). Since 2α′=2α−2α−α′, directly from the definition Ψδ,α′(μ,ν)=Ψδ,α(μ,ν)+2α−α′W(μ,ν)2. Adding 2α−α′W(μ,ν)2 to both sides of the hypothesis and using (1.1) for α′,
M(δ,α)−τ+2α−α′W(μ,ν)2≤Ψδ,α′(μ,ν)≤M(δ,α′).
Step 5 (Clause perturbed: the constants K and B). Fix a positive δ. The constants are chosen in the order μ0, a0, K, B0, B, all before α and τ. Fix μ0∈D, possible since D=∅, and put a0=uδ−(μ0)−vδ+(μ0). For every positive α, W(μ0,μ0)=0 gives a0=Ψδ,α(μ0,μ0), so by (1.1)
a0≤M(δ,α)for every positive α.(5.1)
Put K=δ−1(b−b′−a0+1)−e0, so that δK+δe0=b−b′−a0+1. Let B0∈R satisfy W(σ,ρ)≤B0 for every σ∈DK, as provided by Noise-Closed Noise Penalty Pairs §bounded with c=K (the pair being noise-closed, Noise-Closed Noise Penalty Pairs §noise-closed), and put B=∣B0∣, so that 0≤B and W(σ,ρ)≤B0≤B for every σ∈DK. These depend only on δ, u, v, b, b′, e0 (and the fixed choice of μ0 in the pair's domain), not on α or τ, and W(σ,ρ)≤B whenever σ∈D and E(σ)≤K, as clause perturbed requires. In particular, by Basic Properties of a Noise-Closed Noise Penalty Pair: Lower Bound, Lower Semicontinuity, Complete Sublevel Sets and Bounded Distances §diameter with c=K and this B,
W(σ,σ′)≤2Band henceW(σ,σ′)2≤4B2(σ,σ′∈DK),(5.2)
the second by claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, both W(σ,σ′) and 2B being nonnegative.
Off the localising set. Let α be positive and let (μ,ν)∈D×D with μ∈/DK or ν∈/DK. Then
Ψδ,α(μ,ν)<M(δ,α)−1.(5.3)
Indeed, if μ∈/DK, then K<E(μ), and Step 1 together with δe0≤δE(ν) (Step 0) and the positivity of δ gives
Ψδ,α(μ,ν)≤b−b′−δE(μ)−δe0<b−b′−δK−δe0=a0−1≤M(δ,α)−1,
the last step by (5.1); if ν∈/DK the same holds with the roles of μ and ν exchanged.
Step 6 (The complete metric space Z). Let d× be the product metric on Pρa×Pρa built from two copies of (Pρa,W), a metric by claim 1 of The Product Metric is a Metric. By claim 2 of that theorem, for z=(μ,ν) and z′=(μ′,ν′) we have W(μ,μ′)≤d×(z,z′) and W(ν,ν′)≤d×(z,z′). Put Z=DK×DK⊆D×D and let dZ be the restriction of d× to Z×Z, a metric on Z by claim 1 of The Restriction of a Metric to a Subset Induces the Subspace Topology.
(Z,dZ) is complete. Let (zm)m∈N be a Cauchy sequence in (Z,dZ), zm=(σm,σm′). Given a positive ε and N as in that definition, the domination above gives W(σm,σl)≤dZ(zm,zl)<ε and W(σm′,σl′)<ε for all m,l≥N; so (σm) and (σm′) are Cauchy sequences in (DK,W), and by Basic Properties of a Noise-Closed Noise Penalty Pair: Lower Bound, Lower Semicontinuity, Complete Sublevel Sets and Bounded Distances §complete they converge in (DK,W) to points σ,σ′∈DK. Since that convergence is expressed by the same distances W(σm,σ) and W(σm′,σ′), both sequences also converge in (Pρa,W), and by claim 1 of Coordinatewise Convergence, Sequential Compactness and Density in a Product Metric Space (zm) converges to (σ,σ′) in (Pρa×Pρa,d×). As (σ,σ′)∈Z and dZ is the restriction of d×, (zm) converges to (σ,σ′) in (Z,dZ).
Step 7 (Two elementary facts). (a) If s,s′,t are nonnegative reals with s≤s′+t, then s2≤s′2+2st: if s≤s′ then s2≤s′2; otherwise 0<s−s′≤t and s+s′≤2s, so s2−s′2=(s−s′)(s+s′)≤2st. (b) Let (Y,dY) be a metric space, A⊆Y, f0:A→R, y∈A, and suppose there is a nonnegative ℓ with f0(y)≤f0(y′)+ℓdY(y,y′) for every y′∈A. Then f0 is lower semicontinuous at y relative to A: given a positive ε, the number r=ε(ℓ+1)−1 is positive, and for y′∈A with dY(y,y′)<r we get ℓdY(y,y′)≤ℓr<ε, hence f0(y)−ε<f0(y′).
Step 8 (The function f). Let α be positive and write Ψ=Ψδ,α, M=M(δ,α). (a) By claim 4 of Negation, Restriction, and Separated Differences of Semicontinuous Functions, with both metric spaces (Pρa,W), both subsets D, the upper semicontinuous uδ− and the lower semicontinuous vδ+ (Step 0), the function h(μ,ν)=uδ−(μ)−vδ+(ν) is upper semicontinuous on D×D with respect to d×. (b) Let p(μ,ν)=2αW(μ,ν)2 on D×D. For z=(μ,ν), z′=(μ′,ν′) in D×D and t=d×(z,z′), the triangle inequality, symmetry and Step 6 give W(μ,ν)≤W(μ,μ′)+W(μ′,ν′)+W(ν′,ν)≤W(μ′,ν′)+2t, so Step 7(a) gives W(μ,ν)2≤W(μ′,ν′)2+4tW(μ,ν) and p(z)≤p(z′)+2αW(μ,ν)t. By Step 7(b), p is lower semicontinuous at every point of D×D relative to D×D in (Pρa×Pρa,d×). (c) Hence Ψ=h−p is upper semicontinuous at every point of D×D by claim 3 of Negation, Restriction, and Separated Differences of Semicontinuous Functions, and its restriction f:Z→R, f(z)=Ψ(z), is upper semicontinuous at every point of Z relative to Z by claim 2 of that lemma. Since dZ agrees with d× on Z×Z, the condition of Upper Semicontinuous Function on a Subset of a Metric Space reads the same in (Z,dZ), so f is upper semicontinuous on Z in (Z,dZ). By Step 1, f is bounded above by b−b′−2δe0.
Step 9 (Weights and the starting point). Let α,τ∈R with 0<α and 0<τ<1, with Ψ, M, f as in Step 8. (a) Put ck=τ(21)k for k∈N, a positive real. By Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §geometric, ∑k=1∞(21)k converges with sum 1, so by Elementary Properties of Series of Real Numbers §linearity (both of its series taken to be this one, and λ=τ) the series ∑k=1∞ck converges with sum τ; in particular ∑k=1∞ck≤τ. (b) By Approximation Property of the Supremum and the Infimum in R §epsilon-above, applied to the nonempty set of values of Ψ, bounded above with supremum M (Step 1), and to ε=τ, there is z1=(μ1,ν1)∈D×D with M−τ<Ψ(z1). As τ<1, M−1<M−τ, so by (5.3) neither μ1∈/DK nor ν1∈/DK can hold; thus z1∈Z and Z=∅. The values of f are values of Ψ, so f is bounded above by M and supz∈Zf(z)≤M; hence f(z1)>M−τ≥supz∈Zf(z)−τ.
Step 10 (The gauge). For z=(μ,ν) and y=(μ′,ν′) in Z put g(z,y)=W(μ,μ′)2+W(ν,ν′)2, and G=8B2, a nonnegative real. (i) g(z,z)=0 and 0≤g(z,y). Since μ,μ′,ν,ν′∈DK, (5.2) gives W(μ,μ′)2≤4B2 and W(ν,ν′)2≤4B2, so g(z,y)≤G. (ii) Fix y=(μ′′,ν′′)∈Z. For z=(μ,ν), z′=(μ′,ν′) in Z and t=dZ(z,z′), the triangle inequality and Step 6 give W(μ,μ′′)≤W(μ′,μ′′)+t and W(ν,ν′′)≤W(ν′,ν′′)+t, so Step 7(a) gives g(z,y)≤g(z′,y)+ℓt with ℓ=2(W(μ,μ′′)+W(ν,ν′′))≥0; by Step 7(b), applied in (Z,dZ) with A=Z, g(⋅,y) is lower semicontinuous on Z. (iii) Let η be positive and β=(2η)2, which is positive. If z=(μ,ν) and y=(μ′,ν′) in Z satisfy g(z,y)≤β, then W(μ,μ′)2≤β, so W(μ,μ′)≤2η<η (if 2η<W(μ,μ′) then β<W(μ,μ′)2 by claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field); likewise W(ν,ν′)<η, and dZ(z,y)<η by claim 3 of The Product Metric is a Metric.
Step 11 (The variational principle; conclusion of clause perturbed). With α,τ as in Step 9, apply A Smooth Variational Principle of Borwein-Preiss Type with a Gauge on a Complete Metric Space, with (Z,dZ) in place of its (X,d), to this nonempty complete metric space (Steps 6 and 9(b)), the upper semicontinuous function f, bounded above (Step 8), the bound G and the gauge g (Step 10), the weights ck (Step 9(a)), its ε taken to be τ, and the point z1 (Step 9(b)). It yields (μ^,ν^)∈Z and a sequence (zk)k∈N in Z with first term z1; write zk=(μk,νk), so that (μk) and (νk) are sequences in DK⊆D.
Localisation. Since (μ^,ν^) and every zk lie in Z=DK×DK, we have E(μ^)≤K, E(ν^)≤K, E(μk)≤K and E(νk)≤K for every k.
Convergence of the series. Let (μ,ν)∈Pρa×Pρa and wk=W(μ,μk)2+W(ν,νk)2. For each k, W(μ,μk)≤W(μ,μ1)+W(μ1,μk), and W(μ1,μk)≤2B by (5.2) (μ1,μk∈DK); since (s+t)2≤2s2+2t2 for reals s,t and squares are monotone on nonnegative reals (claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field), this gives W(μ,μk)2≤2W(μ,μ1)2+8B2, and likewise W(ν,νk)2≤2W(ν,ν1)2+8B2. So 0≤wk≤L with L=2W(μ,μ1)2+2W(ν,ν1)2+16B2, independent of k and nonnegative. By Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §tail-bound, with its nonnegative convergent series ∑k=1∞ck and its bound L, the series ∑k=1∞ckwk converges. Its terms are nonnegative, so its sum is at least its first partial sum, which is nonnegative, by Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §dominates. Hence, for Φ as in clause perturbed,
Φ(μ,ν)≤Ψ(μ,ν)for every (μ,ν)∈D×D.(11.1)
For z∈Z the sum of this series is ∑k=1∞ckg(z,zk), so the function f−∑kckg(⋅,zk) of A Smooth Variational Principle of Borwein-Preiss Type with a Gauge on a Complete Metric Space is the restriction of Φ to Z.
Near-maximiser. By A Smooth Variational Principle of Borwein-Preiss Type with a Gauge on a Complete Metric Space §value and Step 9(b), Φ(μ^,ν^)≥f(z1)>M−τ, so by (11.1) Ψδ,α(μ^,ν^)≥Φ(μ^,ν^)>M(δ,α)−τ.
Strict maximum. Let (μ,ν)∈D×D with (μ,ν)=(μ^,ν^). If (μ,ν)∈Z, then Φ(μ,ν)<Φ(μ^,ν^) by A Smooth Variational Principle of Borwein-Preiss Type with a Gauge on a Complete Metric Space §maximum. Otherwise μ∈/DK or ν∈/DK, and (11.1), (5.3), τ<1 and the inequality Φ(μ^,ν^)>M−τ established above give
Φ(μ,ν)≤Ψ(μ,ν)<M−1<M−τ<Φ(μ^,ν^).
Since K and B were fixed in Step 5 before α and τ, clause perturbed holds. ■