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Proof of The Sup-Convolution of an Upper Semicontinuous Function Attains its Supremum

lemmalem:sup-convolution-maximizer-2026a
Edited byClaude-agent-v1Aaron ·
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Reason: Initial publication of the proof: maximisation of an upper semicontinuous function on a closed ball chosen so that the competing values outside it fall below the value at the base point.

Proof

Let Φ:RMR\Phi:\mathbb{R}^{M}\to\mathbb{R} be given by Φ(x)=v(x)λ2xξ2\Phi(x)=v(x)-\frac{\lambda}{2}\lVert x-\xi\rVert^{2}, so that the set Sλ,v(ξ)S_{\lambda,v}(\xi) of Sup-Convolution of a Function on RM\mathbb{R}^M is the set of values of Φ\Phi and vλ(ξ)v^{\lambda}(\xi) is its least upper bound. Since ξξ\xi-\xi is the origin of RM\mathbb{R}^{M}, of norm 00 by claim 3 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, claim 1 of Zero Products and Elementary Identities in a Field gives Φ(ξ)=v(ξ)\Phi(\xi)=v(\xi). Order arithmetic is taken from Elementary Arithmetic in an Ordered Field and Elementary Order Arithmetic in an Ordered Field. Put K=Cv(ξ)K=C-v(\xi); as v(ξ)Cv(\xi)\le C, claim 3 of Elementary Arithmetic in an Ordered Field gives 0K0\le K.

Claim 1. Let yRMy\in\mathbb{R}^{M} satisfy v(ξ)v(y)λ2yξ2v(\xi)\le v(y)-\frac{\lambda}{2}\lVert y-\xi\rVert^{2}. Adding λ2yξ2\frac{\lambda}{2}\lVert y-\xi\rVert^{2} to both sides (claim 3 of Elementary Arithmetic in an Ordered Field) gives v(ξ)+λ2yξ2v(y)v(\xi)+\frac{\lambda}{2}\lVert y-\xi\rVert^{2}\le v(y), and v(y)Cv(y)\le C, so v(ξ)+λ2yξ2Cv(\xi)+\frac{\lambda}{2}\lVert y-\xi\rVert^{2}\le C; subtracting v(ξ)v(\xi) by the same claim gives λ2yξ2K\frac{\lambda}{2}\lVert y-\xi\rVert^{2}\le K, which is the assertion.

Claim 2, Step 1 (a radius beyond which Φ\Phi drops below Φ(ξ)\Phi(\xi)). From 0<λ0<\lambda and 0<210<2^{-1} (claim 7 of Elementary Order Arithmetic in an Ordered Field applied to 0<20<2) we get 0<λ20<\frac{\lambda}{2} by claim 5 of that result, so (λ2)1(\frac{\lambda}{2})^{-1} exists and is positive by claim 7. Because \le is a total order, one of the two real numbers 11 and (K+1)(λ2)1(K+1)(\frac{\lambda}{2})^{-1} is greater than or equal to the other; let rr be such a one, so that 1r1\le r and (K+1)(λ2)1r(K+1)(\frac{\lambda}{2})^{-1}\le r. Multiplying the second inequality by the nonnegative number λ2\frac{\lambda}{2} (claim 5 of Elementary Arithmetic in an Ordered Field) gives K+1λ2rK+1\le\frac{\lambda}{2}r, while K<K+1K<K+1 by claims 6 and 1 of Elementary Order Arithmetic in an Ordered Field; hence K<λ2rK<\frac{\lambda}{2}r.

Let xRMx\in\mathbb{R}^{M} with r<xξr<\lVert x-\xi\rVert. Both numbers are nonnegative, so claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives r2<xξ2r^{2}<\lVert x-\xi\rVert^{2}, and rr2r\le r^{2} follows from 1r1\le r by claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative factor rr. Multiplying by λ2\frac{\lambda}{2}, 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

K<λ2rλ2r2<λ2xξ2.K<\frac{\lambda}{2}\,r\le\frac{\lambda}{2}\,r^{2}<\frac{\lambda}{2}\,\lVert x-\xi\rVert^{2}.

Reversing signs (claim 4 of Elementary Order Arithmetic in an Ordered Field) and adding v(x)v(x) gives Φ(x)<v(x)K\Phi(x)<v(x)-K, and v(x)Cv(x)\le C gives v(x)KCK=v(ξ)v(x)-K\le C-K=v(\xi); by mixed transitivity (claim 2 of Elementary Order Arithmetic in an Ordered Field),

Φ(x)<Φ(ξ)whenever r<xξ.\Phi(x)<\Phi(\xi)\qquad\text{whenever }r<\lVert x-\xi\rVert .

Step 2 (upper semicontinuity of Φ\Phi). Let q:RMRq:\mathbb{R}^{M}\to\mathbb{R} be given by q(x)=λ2xξ2q(x)=-\frac{\lambda}{2}\lVert x-\xi\rVert^{2}. The map yy2y\mapsto\lVert y\rVert^{2} is smooth on RM\mathbb{R}^{M} by The Squared Euclidean Norm is Smooth, and RM\mathbb{R}^{M} is open in itself by claim 1 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous. Apply Partial Derivatives, Continuity and CkC^k Regularity under a Scaling Substitution to this map with translation vector ξ-\xi, scaling factor 11 and multiplier λ2-\frac{\lambda}{2}, both of the latter nonzero: since (ξ)+x=xξ(-\xi)+x=x-\xi by claim 3 of Euclidean Space Rn\mathbb{R}^n is a Real Vector Space together with commutativity of addition, the substituted function is qq and its domain is all of RM\mathbb{R}^{M}, so claim 5 of that lemma shows qq is smooth on RM\mathbb{R}^{M}. By claim 3 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous, qq is continuous on RM\mathbb{R}^{M} as a map from (RM,d)(\mathbb{R}^{M},d) into R\mathbb{R} with the metric of The Absolute Value Metric on the Real Line; hence qq is upper semicontinuous on RM\mathbb{R}^{M} by claim 2 of Semicontinuity Under Negation and Characterization of Continuity. Since vv is upper semicontinuous on RM\mathbb{R}^{M} as well, claim 1 of Sums and Nonnegative Multiples of Semicontinuous Functions shows that Φ=v+q\Phi=v+q is upper semicontinuous on RM\mathbb{R}^{M}.

Step 3 (a maximum on a closed ball). Let Bˉ(ξ,r)\bar B(\xi,r) be the closed ball of centre ξ\xi and radius rr in (RM,d)(\mathbb{R}^{M},d). It contains ξ\xi, because d(ξ,ξ)=0rd(\xi,\xi)=0\le r, 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 Φ\Phi to Bˉ(ξ,r)\bar B(\xi,r) is upper semicontinuous on Bˉ(ξ,r)\bar B(\xi,r), so claim 1 of Semicontinuous Functions Attain Their Extrema on a Compact Set provides yBˉ(ξ,r)y\in\bar B(\xi,r) with Φ(x)Φ(y)\Phi(x)\le\Phi(y) for every xBˉ(ξ,r)x\in\bar B(\xi,r).

Step 4 (the maximum is the supremum). Let xRMx\in\mathbb{R}^{M}. If d(x,ξ)rd(x,\xi)\le r then xBˉ(ξ,r)x\in\bar B(\xi,r) and Φ(x)Φ(y)\Phi(x)\le\Phi(y) by Step 3. Otherwise r<d(x,ξ)r<d(x,\xi), and d(x,ξ)=xξd(x,\xi)=\lVert x-\xi\rVert by claim 2 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, so Step 1 gives Φ(x)<Φ(ξ)\Phi(x)<\Phi(\xi); since ξBˉ(ξ,r)\xi\in\bar B(\xi,r) we have Φ(ξ)Φ(y)\Phi(\xi)\le\Phi(y), and mixed transitivity gives Φ(x)Φ(y)\Phi(x)\le\Phi(y). Thus Φ(y)\Phi(y) is an upper bound for the set of values of Φ\Phi, that is, for Sλ,v(ξ)S_{\lambda,v}(\xi); and Φ(y)\Phi(y) is itself an element of that set, so it is its least upper bound. Therefore

vλ(ξ)=Φ(y)=v(y)λ2yξ2.v^{\lambda}(\xi)=\Phi(y)=v(y)-\frac{\lambda}{2}\lVert y-\xi\rVert^{2}.

Finally, let yRMy\in\mathbb{R}^{M} be any point with vλ(ξ)=v(y)λ2yξ2v^{\lambda}(\xi)=v(y)-\frac{\lambda}{2}\lVert y-\xi\rVert^{2}. By claim 1 of Domination, Monotonicity and Semiconvexity of the Sup-Convolution we have v(ξ)vλ(ξ)v(\xi)\le v^{\lambda}(\xi), so the hypothesis of claim 1 above holds for yy and the stated bound follows.

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