Proof of The Sup-Convolution of an Upper Semicontinuous Function Attains its Supremum
lemmalem:sup-convolution-maximizer-2026aLet be given by , so that the set of Sup-Convolution of a Function on is the set of values of and is its least upper bound. Since is the origin of , of norm by claim 3 of Elementary Properties of the Euclidean Norm on , claim 1 of Zero Products and Elementary Identities in a Field gives . Order arithmetic is taken from Elementary Arithmetic in an Ordered Field and Elementary Order Arithmetic in an Ordered Field. Put ; as , claim 3 of Elementary Arithmetic in an Ordered Field gives .
Claim 1. Let satisfy . Adding to both sides (claim 3 of Elementary Arithmetic in an Ordered Field) gives , and , so ; subtracting by the same claim gives , which is the assertion.
Claim 2, Step 1 (a radius beyond which drops below ). From and (claim 7 of Elementary Order Arithmetic in an Ordered Field applied to ) we get by claim 5 of that result, so exists and is positive by claim 7. Because is a total order, one of the two real numbers and is greater than or equal to the other; let be such a one, so that and . Multiplying the second inequality by the nonnegative number (claim 5 of Elementary Arithmetic in an Ordered Field) gives , while by claims 6 and 1 of Elementary Order Arithmetic in an Ordered Field; hence .
Let with . Both numbers are nonnegative, so claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives , and follows from by claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative factor . Multiplying by , positive, using claim 10 of Elementary Order Arithmetic in an Ordered Field for the strict inequality and claim 5 of Elementary Arithmetic in an Ordered Field for the other, gives
Reversing signs (claim 4 of Elementary Order Arithmetic in an Ordered Field) and adding gives , and gives ; by mixed transitivity (claim 2 of Elementary Order Arithmetic in an Ordered Field),
Step 2 (upper semicontinuity of ). Let be given by . The map is smooth on by The Squared Euclidean Norm is Smooth, and is open in itself by claim 1 of Euclidean Space is Open in Itself, and Maps are Continuous. Apply Partial Derivatives, Continuity and Regularity under a Scaling Substitution to this map with translation vector , scaling factor and multiplier , both of the latter nonzero: since by claim 3 of Euclidean Space is a Real Vector Space together with commutativity of addition, the substituted function is and its domain is all of , so claim 5 of that lemma shows is smooth on . By claim 3 of Euclidean Space is Open in Itself, and Maps are Continuous, is continuous on as a map from into with the metric of The Absolute Value Metric on the Real Line; hence is upper semicontinuous on by claim 2 of Semicontinuity Under Negation and Characterization of Continuity. Since is upper semicontinuous on as well, claim 1 of Sums and Nonnegative Multiples of Semicontinuous Functions shows that is upper semicontinuous on .
Step 3 (a maximum on a closed ball). Let be the closed ball of centre and radius in . It contains , because , and it is compact by claim 2 of A Closed Euclidean Ball is Convex and Compact. By claim 2 of Negation, Restriction, and Separated Differences of Semicontinuous Functions the restriction of to is upper semicontinuous on , so claim 1 of Semicontinuous Functions Attain Their Extrema on a Compact Set provides with for every .
Step 4 (the maximum is the supremum). Let . If then and by Step 3. Otherwise , and by claim 2 of Elementary Properties of the Euclidean Norm on , so Step 1 gives ; since we have , and mixed transitivity gives . Thus is an upper bound for the set of values of , that is, for ; and is itself an element of that set, so it is its least upper bound. Therefore
Finally, let be any point with . By claim 1 of Domination, Monotonicity and Semiconvexity of the Sup-Convolution we have , so the hypothesis of claim 1 above holds for and the stated bound follows.
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Prerequisites
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