Proof of Attained Maxima on Closed Balls of the Penalty Domain, for a Wasserstein-Coercive Penalty Pair
lemmalem:penalised-usc-attains-ball-wasserstein-2026bThe function is bounded above on the ball because the penalty is bounded below; a maximising sequence has bounded penalty, so coercivity gives a convergent subsequence, whose limit stays in the closed ball and, by upper semicontinuity, attains the supremum.
Each result cited below is universally quantified over the data in its own statement, and is applied to the data named at the point of use. By Basic Properties of a Wasserstein-Coercive Penalty Pair §bounded-below there is with for every . The symmetry and the triangle inequality of (The Quadratic Wasserstein Distance is a Metric on the Wasserstein Space §symmetry, The Quadratic Wasserstein Distance is a Metric on the Wasserstein Space §triangle) are used without further mention.
For we have by claim 5 of Elementary Arithmetic in an Ordered Field, hence . The set is therefore nonempty, since , and bounded above by ; let be its least upper bound, which exists by The Real Numbers: Standing Notation and Background §bounds. Then .
By Existence of a Sequence of Positive Real Numbers with Limit Zero there is a sequence of positive real numbers with limit ; replacing by we may assume for every , the new sequence being positive by claim 9 of Elementary Order Arithmetic in an Ordered Field and still having limit by claim 2 of Order Properties of Limits of Real Sequences, squeezed between the constant sequence and . For each , claim 3 of Approximation Property of the Supremum and the Infimum in , applied with , provides with
Then , so, using and claim 1 of Elementary Order Arithmetic in an Ordered Field, , and multiplying by (claims 7 and 10 of that lemma),
By Wasserstein-Coercive Penalty Pairs §coercive the set is sequentially compact in , so by Sequentially Compact Subset of a Metric Space there are in that set, in particular , and a strictly increasing sequence in such that converges to .
lies in . Let be positive. By Convergent Sequence in a Metric Space there is with , and then , since . As was arbitrary, by Comparison of Real Numbers with Arbitrary Positive Slack §slack-above, so and .
is a maximiser. The real sequence converges to in the metric space , being the metric of The Absolute Value Metric on the Real Line, so that convergence in is exactly the condition of Limit of a Sequence of Real Numbers; by A Subsequence of a Convergent Sequence Has the Same Limit the subsequence converges to as well. Let be positive. By Upper Semicontinuous Function on a Subset of a Metric Space there is a positive with for every with . Choose so large that and , which is possible because both conditions hold from some index on and the larger of the two indices serves. Then
so . As was arbitrary, by Comparison of Real Numbers with Arbitrary Positive Slack §slack-above (applied with the positive numbers , which exhaust the positive reals by claim 8 of Elementary Order Arithmetic in an Ordered Field). Together with this gives , and so for every .
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Prerequisites
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