By Convex Subset of Rn we must show that tx+(1−t)y∈Ωδ whenever x,y∈Ωδ and t∈R satisfies 0≤t and t≤1. (If Ωδ is empty there is nothing to prove.)
Fix such x, y and t and put z=tx+(1−t)y. By the definition of Ωδ it suffices to prove that Bˉ(z,δ)⊆Ω.
Let w∈Bˉ(z,δ), so that d(z,w)≤δ by Closed Ball in a Metric Space, and put v=w−z. By claim 2 of Elementary Properties of the Euclidean Norm on Rn we have ∥v∥=∥w−z∥=d(w,z), and d(w,z)=d(z,w) by the symmetry clause 3 of a metric; hence ∥v∥≤δ.
Step 1 (the translates of x and y lie in Ω). By claim 2 of Elementary Properties of the Euclidean Norm on Rn, d(x,x+v)=∥v∥≤δ, so x+v∈Bˉ(x,δ); since x∈Ωδ we have Bˉ(x,δ)⊆Ω, whence x+v∈Ω. The same argument gives y+v∈Ω.
Step 2 (w is the corresponding convex combination). In the real vector space Rn of Euclidean Space Rn is a Real Vector Space, distributivity of scalar multiplication over vector addition together with associativity and commutativity of addition gives
t(x+v)+(1−t)(y+v)=(tx+(1−t)y)+(tv+(1−t)v),
and distributivity of scalar multiplication over addition of scalars gives tv+(1−t)v=(t+(1−t))v=1v=v. Hence
t(x+v)+(1−t)(y+v)=z+v.
Moreover v=w−z=w+(−z) by claim 3 of Euclidean Space Rn is a Real Vector Space, so z+v=z+(w+(−z))=w+(z+(−z))=w by associativity, commutativity, claim 2 of Euclidean Space Rn is a Real Vector Space and claim 1 of the same result, which identifies the zero vector.
Step 3 (conclusion). By Steps 1 and 2, w is the convex combination t(x+v)+(1−t)(y+v) of the two points x+v,y+v∈Ω; since Ω is convex, w∈Ω. As w∈Bˉ(z,δ) was arbitrary, Bˉ(z,δ)⊆Ω, that is, z∈Ωδ. Therefore Ωδ is convex.