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Smooth functions are weakly dense in distributions

Statement

Assume Countable Choice for Lebesgue integration. For every integer n1, every open ΩRn, and every uD(Ω), there is a sequence fjD(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.

1.1

If Ω= use fj=0 for every jN. Otherwise set K0= and, for j1, set Kj={xRn:xj, dist(x,RnΩ)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 KjintKj+1. If LΩ 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 mini(ri/2)>0 from the complement, so LKj for all sufficiently large j. Put χ0=0 and use Countable Choice with F1 to choose, for every j1, a cutoff χj equal to one near Kj. The product χju vanishes outside suppχj 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 suppρB(0,R). For each j1 with nonempty cutoff support, take dj to be the smaller of one and half the distance from suppχj to RnΩ; for empty support put dj=1. Then dj>0 and suppχj+B(0,dj)Ω. Set εj=min(1/j,dj/(2R)).

givenF1F2F5
2.1

Put f0=0, and for j1 define fj=wjρεj. F3 makes the latter smooth on all Rn. If x is outside the closed sum suppχj+εjsuppρ, the test yρεj(xy) has support disjoint from suppwj. F4 gives fj(x)=0. The sum is compact and lies in Ω by step 1.1. Thus every fjΩ belongs to D(Ω), and F5 makes its integral functional a distribution.

step 1.1F3F4F5
3.1

For fixed ψD(Ω) extend it by zero to Rn. For j1, apply F3's parameter-pairing lemma to ψ(x)ρεj(xy) 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 LΩ. By step 1.1, LKj for all sufficiently large j. Then χjψεj=ψεj. For each multi-index α, differentiating the compact integral and using ρ=1 gives supyαψε(y)αψ(y)ρL1supy,hεRαψ(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.

step 2.1step 1.1F1F2F3F5

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