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Proof of Mollification Preserves Semiconvexity

theoremthm:mollification-preserves-semiconvexity-2026a
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Reason: Initial publication of the proof: the quadratic increment inequality applied pointwise under the convolution integral.

Proof

Write g=fβˆ—Οg=f*\rho, a real-valued function on Ωδ\Omega^{\delta}. By Quadratic Increment Characterisation of Semiconvexity it suffices to prove that for all x1,x2∈Ωδx_{1},x_{2}\in\Omega^{\delta} and every t∈Rt\in\mathbb{R} with 0≀t0\le t and t≀1t\le 1,

g(t x1+(1βˆ’t) x2)≀t g(x1)+(1βˆ’t) g(x2)+ΞΌ2 t(1βˆ’t) βˆ₯x1βˆ’x2βˆ₯2,g\bigl(t\,x_{1}+(1-t)\,x_{2}\bigr)\le t\,g(x_{1})+(1-t)\,g(x_{2})+\frac{\mu}{2}\,t(1-t)\,\lVert x_{1}-x_{2}\rVert^{2},

where s2\frac{s}{2} has the meaning fixed in Quadratic Increment Characterisation of Semiconvexity.

Fix such x1x_{1}, x2x_{2} and tt, put z=t x1+(1βˆ’t) x2z=t\,x_{1}+(1-t)\,x_{2}, which lies in Ωδ\Omega^{\delta} because that set is convex by The Ξ΄\delta-Interior of a Convex Subset of Rn\mathbb{R}^n is Convex, and put c=ΞΌ2 t(1βˆ’t) βˆ₯x1βˆ’x2βˆ₯2c=\frac{\mu}{2}\,t(1-t)\,\lVert x_{1}-x_{2}\rVert^{2}.

For x∈Ωδx\in\Omega^{\delta} let hx:Rnβ†’Rh_{x}:\mathbb{R}^{n}\to\mathbb{R} be the integrand of Convolution of a Continuous Function with a Compactly Supported Continuous Kernel, that is, hx(w)=f(xβˆ’w)ρ(w)h_{x}(w)=f(x-w)\rho(w) for those w∈Rnw\in\mathbb{R}^{n} with xβˆ’w∈Ωx-w\in\Omega and hx(w)=0h_{x}(w)=0 for all other ww; thus g(x)=∫Rnhx dΞ»ng(x)=\int_{\mathbb{R}^{n}}h_{x}\,d\lambda_{n}, and hxh_{x} is integrable with respect to Ξ»n\lambda_{n} by claim 1 of The Convolution Integrand is Continuous, Compactly Supported and Integrable. Here Rn\mathbb{R}^{n} together with its Borel Οƒ\sigma-algebra and Ξ»n\lambda_{n} is a measure space, by Lebesgue Measure on Rn\mathbb{R}^n.

Step 1 (a pointwise inequality). We claim that

hz(w)≀t hx1(w)+(1βˆ’t) hx2(w)+c ρ(w)forΒ everyΒ w∈Rn.h_{z}(w)\le t\,h_{x_{1}}(w)+(1-t)\,h_{x_{2}}(w)+c\,\rho(w)\qquad\text{for every }w\in\mathbb{R}^{n}.

Suppose first that Ξ΄<βˆ₯wβˆ₯\delta<\lVert w\rVert. Then ρ(w)=0\rho(w)=0 by clause 3 of Mollifier Kernel of Radius Ξ΄\delta on Rn\mathbb{R}^n, and consequently hx(w)=0h_{x}(w)=0 for every x∈Ωδx\in\Omega^{\delta}: either xβˆ’wβˆ‰Ξ©x-w\notin\Omega, in which case hx(w)=0h_{x}(w)=0 by definition, or xβˆ’w∈Ωx-w\in\Omega, in which case hx(w)=f(xβˆ’w)β‹…0=0h_{x}(w)=f(x-w)\cdot 0=0 by claim 1 of Zero Products and Elementary Identities in a Field. By the same annihilation claim both sides of the asserted inequality equal 00, so it holds.

Suppose now that βˆ₯wβˆ₯≀δ\lVert w\rVert\le\delta. For any x∈Ωδx\in\Omega^{\delta} we have xβˆ’w=x+(βˆ’w)x-w=x+(-w) by claim 3 of Euclidean Space Rn\mathbb{R}^n is a Real Vector Space and βˆ’w=(βˆ’1) w-w=(-1)\,w by claim 2 of the same result, so claims 2 and 5 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n give

d(x,xβˆ’w)=βˆ₯βˆ’wβˆ₯=βˆ£βˆ’1βˆ£β€‰βˆ₯wβˆ₯=βˆ₯wβˆ₯≀δ,d(x,x-w)=\lVert -w\rVert=|-1|\,\lVert w\rVert=\lVert w\rVert\le\delta ,

whence xβˆ’w∈BΛ‰(x,Ξ΄)βŠ†Ξ©x-w\in\bar B(x,\delta)\subseteq\Omega. In particular x1βˆ’wx_{1}-w, x2βˆ’wx_{2}-w and zβˆ’wz-w all lie in Ξ©\Omega, so

hx1(w)=f(x1βˆ’w)ρ(w),hx2(w)=f(x2βˆ’w)ρ(w),hz(w)=f(zβˆ’w)ρ(w).h_{x_{1}}(w)=f(x_{1}-w)\rho(w),\qquad h_{x_{2}}(w)=f(x_{2}-w)\rho(w),\qquad h_{z}(w)=f(z-w)\rho(w).

In the real vector space Rn\mathbb{R}^{n} of Euclidean Space Rn\mathbb{R}^n is a Real Vector Space, distributivity of scalar multiplication over vector addition and over addition of scalars, together with associativity and commutativity of addition, give

t (x1βˆ’w)+(1βˆ’t) (x2βˆ’w)=(t x1+(1βˆ’t) x2)βˆ’(t+(1βˆ’t))w=zβˆ’w,t\,(x_{1}-w)+(1-t)\,(x_{2}-w)=\bigl(t\,x_{1}+(1-t)\,x_{2}\bigr)-\bigl(t+(1-t)\bigr)w=z-w,

and likewise (x1βˆ’w)βˆ’(x2βˆ’w)=x1βˆ’x2(x_{1}-w)-(x_{2}-w)=x_{1}-x_{2}.

Since Ξ©\Omega is convex and ff is semiconvex on Ξ©\Omega with constant ΞΌ\mu, Quadratic Increment Characterisation of Semiconvexity applied to the points x1βˆ’wx_{1}-w and x2βˆ’wx_{2}-w of Ξ©\Omega and to the scalar tt yields

f(zβˆ’w)≀t f(x1βˆ’w)+(1βˆ’t) f(x2βˆ’w)+ΞΌ2 t(1βˆ’t) βˆ₯x1βˆ’x2βˆ₯2=t f(x1βˆ’w)+(1βˆ’t) f(x2βˆ’w)+c.f(z-w)\le t\,f(x_{1}-w)+(1-t)\,f(x_{2}-w)+\frac{\mu}{2}\,t(1-t)\,\lVert x_{1}-x_{2}\rVert^{2}=t\,f(x_{1}-w)+(1-t)\,f(x_{2}-w)+c .

By clause 2 of Mollifier Kernel of Radius Ξ΄\delta on Rn\mathbb{R}^n we have 0≀ρ(w)0\le\rho(w), so multiplying this non-strict inequality by ρ(w)\rho(w), which is permitted by claim 5 of Elementary Arithmetic in an Ordered Field, and expanding by distributivity in the field of real numbers gives precisely the asserted inequality at ww. This proves the claim.

Step 2 (integration). By clause 4 of Mollifier Kernel of Radius Ξ΄\delta on Rn\mathbb{R}^n the kernel ρ\rho is integrable with respect to Ξ»n\lambda_{n} and ∫Rnρ dΞ»n=1\int_{\mathbb{R}^{n}}\rho\,d\lambda_{n}=1. Let u:Rnβ†’Ru:\mathbb{R}^{n}\to\mathbb{R} be given by u(w)=t hx1(w)+(1βˆ’t) hx2(w)+c ρ(w)u(w)=t\,h_{x_{1}}(w)+(1-t)\,h_{x_{2}}(w)+c\,\rho(w). Applying claim 2 of Linearity and Monotonicity of the Lebesgue Integral first to the integrable functions hx1h_{x_{1}} and hx2h_{x_{2}} with the scalars tt and 1βˆ’t1-t, and then to the resulting integrable function and ρ\rho with the scalars 11 and cc, shows that uu is integrable with

∫Rnu dΞ»n=t g(x1)+(1βˆ’t) g(x2)+c.\int_{\mathbb{R}^{n}}u\,d\lambda_{n}=t\,g(x_{1})+(1-t)\,g(x_{2})+c .

By Step 1, hz(w)≀u(w)h_{z}(w)\le u(w) for every w∈Rnw\in\mathbb{R}^{n}, so the monotonicity assertion of claim 2 of Linearity and Monotonicity of the Lebesgue Integral, applied to the integrable functions hzh_{z} and uu, gives

g(z)=∫Rnhz dΞ»n≀t g(x1)+(1βˆ’t) g(x2)+c.g(z)=\int_{\mathbb{R}^{n}}h_{z}\,d\lambda_{n}\le t\,g(x_{1})+(1-t)\,g(x_{2})+c .

This is the required inequality. Since x1,x2∈Ωδx_{1},x_{2}\in\Omega^{\delta} and tt with 0≀t≀10\le t\le 1 were arbitrary, Quadratic Increment Characterisation of Semiconvexity shows that fβˆ—Οf*\rho is semiconvex on Ωδ\Omega^{\delta} with constant ΞΌ\mu.

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