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Smooth functions are weakly dense in distributions
Statement
Assume Countable Choice for Lebesgue integration. For every integer , every open , and every , there is a sequence whose regular distributions converge weakly to . In particular smooth regular distributions are weakly dense in .
Facts & Assumptions
For each compact there is a cutoff equal to one near (Test function cutoffs and euclidean localization). In , closed bounded sets are compact (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
Smooth multiplication defines (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).
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.
A distribution vanishes on tests supported away from its support (Support of a distribution).
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 ()).
Proof
Given: and Countable Choice.
If use for every . Otherwise set and, for , set with distance to the empty set interpreted as infinity. The distance function is one-Lipschitz, so F1 makes each compact as a closed bounded set; the strict inequalities and give . If is compact, finitely many balls cover with ; hence is bounded and has distance at least from the complement, so for all sufficiently large . Put and use Countable Choice with F1 to choose, for every , a cutoff equal to one near . The product vanishes outside directly from its definition, so its support is compact and ambient closed. Let be its zero extension by F2. Apply F1 with and to obtain a nonnegative bump equal to one near zero. Its Lebesgue integral is finite and positive, so is a unit-mass bump; compactness of its support gives with . For each with nonempty cutoff support, take to be the smaller of one and half the distance from to ; for empty support put . Then and . Set .
Put , and for define . F3 makes the latter smooth on all . If is outside the closed sum , the test has support disjoint from . F4 gives . The sum is compact and lies in by step 1.1. Thus every belongs to , and F5 makes its integral functional a distribution.
For fixed extend it by zero to . For , apply F3's parameter-pairing lemma to and then affine substitution . This gives , with . All sufficiently small have these test supports in one compact . By step 1.1, for all sufficiently large . Then . For each multi-index , differentiating the compact integral and using gives . Uniform continuity of every derivative of the compactly supported smooth proves the limit. F3's finite-order estimate on now gives , proving weak convergence. A convergent sequence meets every neighborhood of its limit, which proves density. Zero gives the zero sequence, and Countable Choice has precisely the uses in F5.
Depends on
- Mollifier approximation in distributions
- Test function cutoffs and euclidean localization
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- Extension by zero for distributions with ambient closed support
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Multiplication of a distribution by a smooth function
- Convolution with a test function is smooth
- Support of a distribution
- Locally integrable functions embed in distributions
- Distribution pairing with smooth parameter families
- A compactly supported Riemann integrand admits the global change-of-variables formula from a diffeomorphism near the relevant compact preimage
- Riemann–Lebesgue comparison for distribution test integrands
- Local finite order characterization of distributions
Used by
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Sources
- Semyon Dyatlov, Lecture notes for 18.155 (2022) (standard reference, not scraped)