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Smooth functions are weakly dense in distributions

Statement

Assume Countable Choice for Lebesgue integration. For every integer n≥1, every open Ω⊆Rn, and every u∈D′(Ω), there is a sequence fj∈D(Ω) whose regular distributions converge weakly to u. In particular smooth regular distributions are weakly dense in D′(Ω).

Facts & Assumptions

[F2]

Smooth multiplication defines χju (Multiplication of a distribution by a smooth function); a distribution whose support is ambient closed has a unique zero extension (Extension by zero for distributions with ambient closed support).

[F3]

Local convolution is smooth (Convolution with a test function is smooth). Compact smooth parameter integrals commute with distribution pairing (Distribution pairing with smooth parameter families); compact Riemann integrals admit affine substitution (A compactly supported Riemann integrand admits the global change-of-variables formula from a diffeomorphism near the relevant compact preimage) and agree with their complex Lebesgue integrals under Countable Choice (Riemann–Lebesgue comparison for distribution test integrands). Distributions obey finite-order estimates on a fixed compact test support (Local finite order characterization of distributions). The weak-convergence conclusion of Mollifier approximation in distributions is consistent with, but does not itself assert, the reflected-test estimates below.

[F4]

A distribution vanishes on tests supported away from its support (Support of a distribution).

[F5]

Under Countable Choice, locally integrable functions define regular distributions (Locally integrable functions embed in distributions). Countable Choice also supplies the Lebesgue interfaces in F3 and a sequence of cutoffs in F1 (The Axiom of Countable Choice (ACω)).

Proof

Given: u and Countable Choice.

1.1givenF1F2F5

If Ω=∅ use fj=0 for every j∈N. Otherwise set K0=∅ and, for j≥1, set Kj={x∈Rn:∣x∣≤j, dist⁡(x,Rn∖Ω)≥1/j}, with distance to the empty set interpreted as infinity. The distance function is one-Lipschitz, so F1 makes each Kj compact as a closed bounded set; the strict inequalities j<j+1 and 1/j>1/(j+1) give Kj⊆int⁡Kj+1. If L⊆Ω is compact, finitely many balls B(xi,ri/2) cover L with B(xi,ri)⊆Ω; hence L is bounded and has distance at least min⁡i(ri/2)>0 from the complement, so L⊆Kj for all sufficiently large j. Put χ0=0 and use Countable Choice with F1 to choose, for every j≥1, a cutoff χj equal to one near Kj. The product χju vanishes outside supp⁡χj directly from its definition, so its support is compact and ambient closed. Let wj be its zero extension by F2. Apply F1 with K={0} and Ω=Rn to obtain a nonnegative bump η equal to one near zero. Its Lebesgue integral c is finite and positive, so ρ=η/c is a unit-mass bump; compactness of its support gives R>0 with supp⁡ρ⊆B(0,R). For each j≥1 with nonempty cutoff support, take dj to be the smaller of one and half the distance from supp⁡χj to Rn∖Ω; for empty support put dj=1. Then dj>0 and supp⁡χj+B‾(0,dj)⊆Ω. Set εj=min⁡(1/j,dj/(2R)).

2.1step 1.1F3F4F5

Put f0=0, and for j≥1 define fj=wj∗ρεj. F3 makes the latter smooth on all Rn. If x is outside the closed sum supp⁡χj+εjsupp⁡ρ, the test y↦ρεj(x−y) has support disjoint from supp⁡wj. F4 gives fj(x)=0. The sum is compact and lies in Ω by step 1.1. Thus every fj∣Ω belongs to D(Ω), and F5 makes its integral functional a distribution.

3.1step 2.1step 1.1F1F2F3F5

For fixed ψ∈D(Ω) extend it by zero to Rn. For j≥1, apply F3's parameter-pairing lemma to ψ(x)ρεj(x−y) and then affine substitution x=y+εjz. This gives ∫fjψ=wj(ψεj)=u(χjψεj), with ψε(y)=∫ρ(z)ψ(y+εz) dz. All sufficiently small ε have these test supports in one compact L⊆Ω. By step 1.1, L⊆Kj for all sufficiently large j. Then χjψεj=ψεj. For each multi-index α, differentiating the compact integral and using ∫ρ=1 gives sup⁡y∣∂αψε(y)−∂αψ(y)∣≤∥ρ∥L1sup⁡y, ∣h∣≤εR∣∂αψ(y+h)−∂αψ(y)∣→0. Uniform continuity of every derivative of the compactly supported smooth ψ proves the limit. F3's finite-order estimate on L now gives u(ψεj)→u(ψ), proving weak convergence. A convergent sequence meets every neighborhood of its limit, which proves density. Zero u gives the zero sequence, and Countable Choice has precisely the uses in F5. □

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