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Every finite-scaling-degree punctured distribution has an exact-degree extension

Statement

Assume the Axiom of Choice. Let n≥1, U=Rn∖{0}, and let t∈D′(U) have finite real scaling degree δ=sd⁡0(t). Then there exists T∈D′(Rn) such that T∣U=t and sd⁡0(T)=δ. The result applies to arbitrary distributions with finite real scaling degree; it assumes no smooth kernel or pointwise product representation.

Facts & Assumptions

Given: n≥1, t∈D′(Rn∖{0}) with finite real scaling degree δ, and the Axiom of Choice.

[F1]

Scaling degree and local extension space: tρ(φ)=ρ−nt(φ(⋅/ρ)); convergence and scaling degree are tested on each fixed test function.

[F2]

Complete test Frechet space and uniform scaling order: under AC, every fixed compact annular test support has a finite derivative order and uniform bound for the family ρωtρ, for each ω>δ.

[F3]

Test function cutoffs and euclidean localization: a smooth compactly supported cutoff equal to one near the origin exists in ZF.

[F4]

Multivariable Taylor formula with a Lagrange remainder along a line segment: for smooth tests, subtracting the Taylor polynomial through order k leaves a remainder of order ∣x∣k+1 locally; applying the theorem to derivatives gives the corresponding differentiated estimates.

[F5]

Test function space d of an open set: D(V)=Cc∞(V;C), with actual smooth compactly supported functions as tests.

[F6]

Test function topology: D(V) has the locally convex LF topology determined by its fixed-support test spaces; continuity of a linear functional is checked on each fixed-support stage.

[F7]

Test function operations are continuous: differentiation, multiplication by a fixed smooth function, and pullback by a fixed smooth diffeomorphism act continuously on the corresponding test-function spaces.

[F8]

Dirac delta and its derivatives: ⟨∂αδ0,φ⟩=(−1)∣α∣∂αφ(0); the jet evaluations used below are continuous.

[A1]

Assume AC; it is used through the Baire estimate [F2], whose proof invokes DC.

Proof

Given: The hypotheses in the statement.

1.1givenF3F4F5A1

Choose χ∈D(Rn) equal to one near 0 by [F3], and put f(x)=χ(x)−χ(2x). Its support K is compact and avoids 0, so choose 0<a<b<∞ with K⊂{x:a≤∣x∣≤b}. If δ<n, set k=−1 and Wφ=φ. If δ≥n, let k be the integer with k≤δ−n<k+1, put Pkφ(x)=∑∣α∣≤kxα∂αφ(0)/α!, and define Wφ=φ−χPkφ.

2.1F1F3step 1.1construct

For φ∈D(Rn) define T(φ):=⟨t,(1−χ)Wφ⟩+∑j=0∞⟨t,f(2j⋅)Wφ⟩. Each pairing is with a test supported in U: the first factor vanishes near 0, and f(2j⋅) is supported in 2−jK.

3.1F1F2F4F5step 1.1step 2.1algebra

Choose ω with δ<ω<n+k+1; this interval is nonempty by the choice of k. Put λ=2−j. By the dilation convention [F1], ⟨t,f(⋅/λ)Wφ⟩=λn⟨tλ,f Wφ(λ⋅)⟩. The uniform estimate [F2] bounds this by Cλn−ωpm(f Wφ(λ⋅)) for fixed m,C. When k≥0 and λ is small enough that χ=1 on λK, [F4] gives pm(f Wφ(λ⋅))≤Cφλk+1. Indeed, after each derivative of order q≤m, the Taylor remainder contributes order λk+1−q if q≤k, and the chain-rule factor contributes λq; if q>k, the factor λq is already at most λk+1 for λ≤1. The product rule with the fixed smooth f preserves this bound. When k=−1, the same seminorm is bounded by Cφ. Thus the tail is bounded by a convergent geometric series with exponent n+k+1−ω>0 (or n−ω>0 when k=−1). The series in step 2.1 is absolutely convergent.

4.1F1F5F6F7F8step 2.1step 3.1

For tests supported in any fixed compact C⊂Rn, the first term of step 2.1 is a continuous functional: its input is supported in a fixed compact subset of U, and the cutoff, multiplication, and finite jet maps are continuous by [F5]–[F8]. The geometric bound of step 3.1 controls the small-scale annular tail by one finite derivative seminorm on a compact containing C and 0; the finitely many larger scales are continuous by [F1] and [F7]. Hence T is continuous on every fixed-support test space and is a distribution by [F6].

5.1F5step 1.1step 2.1step 4.1algebra

If φ is supported away from 0, all its jets at 0 vanish, so Wφ=φ. The partial sums telescope: ∑j=0Nf(2jx)=χ(x)−χ(2N+1x). For sufficiently large N, χ(2N+1x)=0 on the support of φ. Adding the first term of step 2.1 then gives T(φ)=⟨t,φ⟩. Thus T∣U=t.

5.2F1F2F4step 1.1step 2.1step 4.1algebra

Fix Ω>δ and choose ω with δ<ω<min⁡(Ω,n+k+1). Write φρ(x)=ρ−nφ(x/ρ), so Tρ(φ)=T(φρ). Choose R with supp⁡φ⊂B(0,R) and C>R/a, where a is from step 1.1. Choose λ0>0 so χ=1 on λK for 0<λ≤λ0, and take ρ small enough that Cρ≤λ0 and supp⁡φρ lies where χ=1. For a shell λK with λ>Cρ, its inner radius is at least aλ>Rρ, so φρ vanishes there. If k=−1, the first term in step 2.1 and all such coarse-shell terms are therefore zero. On the remaining shells λ≤Cρ, the chain rule and boundedness of λ/ρ give pm(fφρ(λ⋅))≤Cφρ−n; their dyadic sum is O(ρ−ω) because n−ω>0. If k≥0, on each fine shell λ≤Cρ the cutoff is one. For every derivative order q≤m, Taylor's formula for φ−Pkφ when q≤k, and the chain-rule factor (λ/ρ)q when q>k, give pm(f Wφρ(λ⋅))≤Cφρ−n−k−1λk+1; the fixed upper bound λ/ρ≤C absorbs the finitely many higher derivative orders. Hence these shells contribute at most Cφρ−n−k−1∑λ=2−j, j≥0λ≤Cρλn+k+1−ω=O(ρ−ω), because n+k+1−ω>0 and the dyadic sum is bounded by a constant times ρn+k+1−ω. On the intermediate coarse shells Cρ<λ≤λ0, only the subtracted Taylor polynomial remains. Its degree-j term, 0≤j≤k, contributes at most Cφρ−n−jλn+j−ω. Since ω>δ≥n+k≥n+j, the exponent n+j−ω is negative; summing dyadically from the smallest such λ≍ρ up to λ0 gives O(ρ−ω). For the finitely many outer shells λ0<λ≤1 and the first term of step 2.1, continuity of t on their fixed compact supports bounds the jet contributions by O(ρ−n−k)=O(ρ−ω), since ω>δ≥n+k. Thus in both the fine and coarse regions ∣Tρ(φ)∣≤Cφρ−ω for small ρ. Therefore ∣Tρ(φ)∣≤Cφρ−ω for small ρ in both cases, so ρΩTρ(φ)→0. This proves sd⁡0(T)≤δ.

6.1F1step 5.1step 5.2∎

If an exponent Ω<δ made ρΩTρ→0, restricting to tests supported in U and using step 5.1 would give ρΩtρ→0, contrary to sd⁡0(t)=δ. Hence sd⁡0(T)≥δ. Together with step 5.2, sd⁡0(T)=δ.

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