Write ∥⋅∥ for the Euclidean norm, so that d(z,w)=∥z−w∥ by claim 2 of Elementary Properties of the Euclidean Norm on Rn, let Bˉ(z,r) be the closed ball in (Rn,d), let λn be Lebesgue measure on the Borel σ-algebra of Rn, and for x∈Ωδ let hx be the integrand of Convolution of a Continuous Function with a Compactly Supported Continuous Kernel, so that (f∗ρ)(x)=∫Rnhxdλn. By claim 2 of The Convolution Integrand is Continuous, Compactly Supported and Integrable the number I=∫Rn∣ρ∣dλn is real, and I≥0 because ∣ρ∣≥0 and by the monotonicity clause of claim 2 of Linearity and Monotonicity of the Lebesgue Integral.
Let x0∈Ωδ and let ε>0 be real. By claim 1 of The δ-Interior of an Open Subset of Rn is Open there is a real η>0 with K=Bˉ(x0,δ+η)⊆Ω; by claim 2 of A Closed Euclidean Ball is Convex and Compact the set K is compact in the topology of the sets open in (Rn,d), which is a topology by Metric Open Sets Form a Topology. Put ε′=ε/(1+I), a positive real number.
The restriction of f to K is continuous on K, since a θ witnessing continuity of f at a point relative to Ω also witnesses it relative to the subset K of Ω. Hence by Heine-Cantor Theorem: Continuity on a Compact Subset Implies Uniform Continuity that restriction is uniformly continuous on K: there is a real θ0>0 such that all z,z′∈K with d(z,z′)<θ0 satisfy ∣f(z)−f(z′)∣<ε′.
Let θ be the smaller of θ0 and η, and let x∈Ωδ satisfy d(x,x0)<θ. We claim that
∣hx(y)−hx0(y)∣≤ε′∣ρ(y)∣for every y∈Rn.
If ∥y∥>δ then ρ(y)=0, so each of hx(y) and hx0(y) is 0: either the relevant difference lies outside Ω, and the value is 0 by definition, or it lies in Ω, and the value is a product with the factor ρ(y)=0. Hence both sides are 0. Suppose instead ∥y∥≤δ. Then ∥(x0−y)−x0∥=∥y∥≤δ by claim 5 of Elementary Properties of the Euclidean Norm on Rn, so x0−y∈Bˉ(x0,δ)⊆K; and by claim 6 of the same lemma,
∥(x−y)−x0∥≤∥x−x0∥+∥y∥<θ+δ≤η+δ,
so x−y∈K as well. Both points therefore lie in K⊆Ω, so hx(y)=f(x−y)ρ(y) and hx0(y)=f(x0−y)ρ(y). Moreover d(x−y,x0−y)=∥x−x0∥<θ≤θ0, so ∣f(x−y)−f(x0−y)∣<ε′ and
∣hx(y)−hx0(y)∣=∣f(x−y)−f(x0−y)∣∣ρ(y)∣≤ε′∣ρ(y)∣,
as claimed.
By claim 1 of The Convolution Integrand is Continuous, Compactly Supported and Integrable the functions hx and hx0 are integrable with respect to λn, so by claim 2 of Linearity and Monotonicity of the Lebesgue Integral their difference is integrable with
∫Rn(hx−hx0)dλn=(f∗ρ)(x)−(f∗ρ)(x0),
and ∣hx−hx0∣ is integrable by Integrable Function and the Lebesgue Integral, while ε′∣ρ∣ is integrable by claim 2 of Linearity and Monotonicity of the Lebesgue Integral. Using the absolute-value bound and then the monotonicity and linearity clauses of that claim,
∣(f∗ρ)(x)−(f∗ρ)(x0)∣≤∫Rn∣hx−hx0∣dλn≤∫Rnε′∣ρ∣dλn=ε′I=1+IεI<ε.
On R=R1 claim 1 of Elementary Properties of the Euclidean Norm on Rn identifies the Euclidean norm of a real number with its absolute value, so by claim 2 there d(s,t)=∣s−t∣ for real s,t. Since therefore d((f∗ρ)(x),(f∗ρ)(x0))=∣(f∗ρ)(x)−(f∗ρ)(x0)∣, the function f∗ρ is continuous at x0 relative to Ωδ. As x0∈Ωδ was arbitrary, f∗ρ is continuous on Ωδ.