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.
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, 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 is symmetric on 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, and , so for every .
Claim 1 (bounded below). Step 1. Apply condition 2 of the noise-closed property with level : there is with for every with . By Noise Penalty Pairs on the Noise Wasserstein Space: the Penalty, Its Score, and Their Domains §bound there is a nonnegative with for every . Put ; since and , we have .
Step 2. Let . If , then by Step 1, so claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, applied to the nonnegative numbers and , gives ; hence and, being nonnegative, . If , then . In both cases .
Claim 2 (lower semicontinuity). We verify Lower Semicontinuous Function on a Subset of a Metric Space for the metric space , the subset and . Let and let be positive; we argue by contradiction and suppose that no positive has the required property.
Step 1. Then for every , applying the supposition to (positive, as is positive in by The Real Numbers: Standing Notation and Background §numbers), there is with and ; we choose one such for each , obtaining a sequence in .
Step 2. The sequence converges to in in the sense of Convergent Sequence in a Metric Space: given a positive , claim 3 of The Archimedean Property of the Real Numbers gives with , and for every we have , hence by symmetry of .
Step 3. Put . Every lies in with , and converges to , so condition 1 of the noise-closed property at level gives , that is , contradicting . Hence some positive has the property that every with satisfies . As and were arbitrary, is lower semicontinuous on relative to .
Claim 3 (complete sublevel sets). Fix .
Step 1. By claim 1 of The Restriction of a Metric to a Subset Induces the Subspace Topology, applied to the metric space and the subset , the restriction of to is a metric on , so is a metric space.
Step 2. Let be a Cauchy sequence in . Since the restricted metric takes the same values , the sequence is also a Cauchy sequence in , so by Completeness of the Quadratic Wasserstein Space and of the Noise Wasserstein Space over a Hilbert Space §noise-complete it converges in to some .
Step 3. Each lies in with , so condition 1 of the noise-closed property gives and , that is . The distances are the same in , so by Convergent Sequence in a Metric Space the sequence converges to the point of in . Hence is complete.
Claim 4 (bounded distances). Let be as in the claim and let . The three measures , and belong to , the first and last because and 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 in place of its , and the symmetry of give
the last step by the hypothesis on , applied to and to .
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