TheoremBase

The lower bound combines the growth bound of the pair with the bounded sublevel set at level zero; lower semicontinuity and completeness of sublevel sets follow from the closed-sublevel-set condition and completeness of the noise Wasserstein space; the distance bound goes through the reference measure by the triangle inequality.

Proof

Each result cited is universally quantified over the data in its own statement.

We work in the setting of First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation. Elementary order and arithmetic of real numbers (including squares of nonnegative reals and the Archimedean property) is carried by The Real Numbers: Standing Notation and Background §background, in force through Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation §background and Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §background. Throughout, (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) is a metric space 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, and WaW_{a} is symmetric on Pρa\mathcal{P}^{a}_{\rho} 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 §symmetry. By Noise Penalty Pairs on the Noise Wasserstein Space: the Penalty, Its Score, and Their Domains §pair, D⊆Pρa\mathcal{D}\subseteq\mathcal{P}^{a}_{\rho} and E:D→R\mathcal{E}:\mathcal{D}\to\mathbb{R}, so Dc⊆Pρa\mathcal{D}_{c}\subseteq\mathcal{P}^{a}_{\rho} for every c∈Rc\in\mathbb{R}.

Claim 1 (bounded below). Step 1. Apply condition 2 of the noise-closed property with level 00: there is B0∈RB_{0}\in\mathbb{R} with Wa(μ,ρ)≤B0W_{a}(\mu,\rho)\le B_{0} for every μ∈D\mu\in\mathcal{D} with E(μ)≤0\mathcal{E}(\mu)\le0. By Noise Penalty Pairs on the Noise Wasserstein Space: the Penalty, Its Score, and Their Domains §bound there is a nonnegative C∈RC\in\mathbb{R} with −C(1+Wa(μ,ρ)2)≤E(μ)-C\bigl(1+W_{a}(\mu,\rho)^{2}\bigr)\le\mathcal{E}(\mu) for every μ∈D\mu\in\mathcal{D}. Put e0=−C(1+B02)e_{0}=-C(1+B_{0}^{2}); since C≥0C\ge0 and 1+B02>01+B_{0}^{2}>0, we have e0≤0e_{0}\le0.

Step 2. Let μ∈D\mu\in\mathcal{D}. If E(μ)≤0\mathcal{E}(\mu)\le0, then 0≤Wa(μ,ρ)≤B0≤∣B0∣0\le W_{a}(\mu,\rho)\le B_{0}\le|B_{0}| by Step 1, so claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, applied to the nonnegative numbers Wa(μ,ρ)W_{a}(\mu,\rho) and ∣B0∣|B_{0}|, gives Wa(μ,ρ)2≤∣B0∣2=B02W_{a}(\mu,\rho)^{2}\le|B_{0}|^{2}=B_{0}^{2}; hence 1+Wa(μ,ρ)2≤1+B021+W_{a}(\mu,\rho)^{2}\le1+B_{0}^{2} and, CC being nonnegative, e0=−C(1+B02)≤−C(1+Wa(μ,ρ)2)≤E(μ)e_{0}=-C(1+B_{0}^{2})\le-C\bigl(1+W_{a}(\mu,\rho)^{2}\bigr)\le\mathcal{E}(\mu). If E(μ)>0\mathcal{E}(\mu)>0, then e0≤0<E(μ)e_{0}\le0<\mathcal{E}(\mu). In both cases e0≤E(μ)e_{0}\le\mathcal{E}(\mu).

Claim 2 (lower semicontinuity). We verify Lower Semicontinuous Function on a Subset of a Metric Space for the metric space (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}), the subset A=DA=\mathcal{D} and u=Eu=\mathcal{E}. Let x∈Dx\in\mathcal{D} and let ε∈R\varepsilon\in\mathbb{R} be positive; we argue by contradiction and suppose that no positive δ\delta has the required property.

Step 1. Then for every n∈Nn\in\mathbb{N}, applying the supposition to δ=1n\delta=\tfrac1n (positive, as nn is positive in R\mathbb{R} by The Real Numbers: Standing Notation and Background §numbers), there is yn∈Dy_{n}\in\mathcal{D} with Wa(x,yn)<1nW_{a}(x,y_{n})<\tfrac1n and E(yn)≤E(x)−ε\mathcal{E}(y_{n})\le\mathcal{E}(x)-\varepsilon; we choose one such yny_{n} for each nn, obtaining a sequence (yn)n∈N(y_{n})_{n\in\mathbb{N}} in D\mathcal{D}.

Step 2. The sequence (yn)(y_{n}) converges to xx in (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) in the sense of Convergent Sequence in a Metric Space: given a positive ε′\varepsilon', claim 3 of The Archimedean Property of the Real Numbers gives N∈NN\in\mathbb{N} with 0<1N<ε′0<\tfrac1N<\varepsilon', and for every n≥Nn\ge N we have 1n≤1N\tfrac1n\le\tfrac1N, hence Wa(yn,x)=Wa(x,yn)<1n<ε′W_{a}(y_{n},x)=W_{a}(x,y_{n})<\tfrac1n<\varepsilon' by symmetry of WaW_{a}.

Step 3. Put c=E(x)−εc=\mathcal{E}(x)-\varepsilon. Every yny_{n} lies in D\mathcal{D} with E(yn)≤c\mathcal{E}(y_{n})\le c, and (yn)(y_{n}) converges to x∈Pρax\in\mathcal{P}^{a}_{\rho}, so condition 1 of the noise-closed property at level cc gives E(x)≤c=E(x)−ε\mathcal{E}(x)\le c=\mathcal{E}(x)-\varepsilon, that is ε≤0\varepsilon\le0, contradicting 0<ε0<\varepsilon. Hence some positive δ\delta has the property that every y∈Dy\in\mathcal{D} with Wa(x,y)<δW_{a}(x,y)<\delta satisfies E(x)−ε<E(y)\mathcal{E}(x)-\varepsilon<\mathcal{E}(y). As x∈Dx\in\mathcal{D} and ε\varepsilon were arbitrary, E\mathcal{E} is lower semicontinuous on D\mathcal{D} relative to D\mathcal{D}.

Claim 3 (complete sublevel sets). Fix c∈Rc\in\mathbb{R}.

Step 1. By claim 1 of The Restriction of a Metric to a Subset Induces the Subspace Topology, applied to the metric space (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) and the subset Dc\mathcal{D}_{c}, the restriction of WaW_{a} to Dc×Dc\mathcal{D}_{c}\times\mathcal{D}_{c} is a metric on Dc\mathcal{D}_{c}, so (Dc,Wa)(\mathcal{D}_{c},W_{a}) is a metric space.

Step 2. Let (μn)n∈N(\mu_{n})_{n\in\mathbb{N}} be a Cauchy sequence in (Dc,Wa)(\mathcal{D}_{c},W_{a}). Since the restricted metric takes the same values Wa(μm,μℓ)W_{a}(\mu_{m},\mu_{\ell}), the sequence is also a Cauchy sequence in (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}), so by Completeness of the Quadratic Wasserstein Space and of the Noise Wasserstein Space over a Hilbert Space §noise-complete it converges in (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) to some μ∈Pρa\mu\in\mathcal{P}^{a}_{\rho}.

Step 3. Each μn\mu_{n} lies in D\mathcal{D} with E(μn)≤c\mathcal{E}(\mu_{n})\le c, so condition 1 of the noise-closed property gives μ∈D\mu\in\mathcal{D} and E(μ)≤c\mathcal{E}(\mu)\le c, that is μ∈Dc\mu\in\mathcal{D}_{c}. The distances Wa(μn,μ)W_{a}(\mu_{n},\mu) are the same in (Dc,Wa)(\mathcal{D}_{c},W_{a}), so by Convergent Sequence in a Metric Space the sequence converges to the point μ\mu of Dc\mathcal{D}_{c} in (Dc,Wa)(\mathcal{D}_{c},W_{a}). Hence (Dc,Wa)(\mathcal{D}_{c},W_{a}) is complete.

Claim 4 (bounded distances). Let c,Bc,B be as in the claim and let μ,ν∈Dc\mu,\nu\in\mathcal{D}_{c}. The three measures μ\mu, ρ\rho and ν\nu belong to Pρa\mathcal{P}^{a}_{\rho}, the first and last because Dc⊆Pρa\mathcal{D}_{c}\subseteq\mathcal{P}^{a}_{\rho} and ρ\rho 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 §reference. The triangle inequality 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 §triangle, applied with μ,ρ,ν\mu,\rho,\nu in place of its μ,ν,λ\mu,\nu,\lambda, and the symmetry of WaW_{a} give

Wa(μ,ν)≤Wa(μ,ρ)+Wa(ρ,ν)=Wa(μ,ρ)+Wa(ν,ρ)≤B+B=2B,W_{a}(\mu,\nu)\le W_{a}(\mu,\rho)+W_{a}(\rho,\nu)=W_{a}(\mu,\rho)+W_{a}(\nu,\rho)\le B+B=2B,

the last step by the hypothesis on BB, applied to μ\mu and to ν\nu. ■\blacksquare

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