Proof of The Squared-Distance Penalization Limit on a Compact Set
corollarycor:penalization-limit-squared-distance-2026aLet be the function , and regard as a metric space through the metric of The Absolute Value Metric on the Real Line.
Continuity of . By claim 2 of Continuity of the Projections and of the Distance Function on a Product Metric Space, applied with , the function is continuous on relative to , with respect to the metric .
Lower semicontinuity of . Condition 1 in the definition of a metric gives for every . Hence The Square of a Nonnegative Continuous Real-Valued Function is Continuous, applied in the metric space with the subset and the function , shows that , which is the function , is continuous on relative to . By claim 2 of Semicontinuity Under Negation and Characterization of Continuity, is then lower semicontinuous on .
Nonnegativity. For we have by Nonnegativity of Squares in an Ordered Field, that is .
Vanishing exactly on the diagonal. By claim 3 of Zero Products and Elementary Identities in a Field a product of two elements of a field is only if one of the two factors is , and by claim 1 of that lemma a product with a zero factor is ; applied to the two equal factors this gives that holds if and only if , which by condition 2 in the definition of a metric holds if and only if .
Conclusion. The function therefore satisfies all the hypotheses imposed on the penalty function in Limits of Penalized Maxima on a Compact Set, and the remaining hypotheses of that theorem are those assumed here. Claims 1 to 6 of that theorem consequently hold for .
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Prerequisites
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