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Scaling degree and local extension space

1 · Prerequisites

2 · Summary

This page defines scaling degree for distributions dilated about a point, proves a same-degree extension theorem for arbitrary punctured distributions of finite real scaling degree, and classifies the finite delta-jet freedom at that point. The proof uses a fixed-support Frechet space and Baire category under the explicitly stated Axiom of Choice, which supplies the dependent-choice hypothesis of the published Baire theorem. The four-dimensional Euclidean example computes an exact logarithmic scale term for one specified kernel. The results do not assert that arbitrary distribution products exist or that an extension is selected by a physical renormalization prescription.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Scaling degree and local extension space

Definition

Fix an integer n≥1, put U=Rn∖{0}, and use the continuous complex-linear test-function pairing of Distribution. For t∈D′(U) and ρ>0, define its dilation at the origin by

⟨tρ,φ⟩:=ρ−n⟨t,φ(⋅/ρ)⟩,φ∈D(U).

Positive dilations preserve U, so the displayed pairing is defined for every test function in D(U). If t is the regular distribution induced by a locally integrable function g, change of variables gives ⟨tρ,φ⟩=∫Ug(ρx)φ(x) dx.

Convergence sρ→0 in D′(U) as ρ↓0 means ⟨sρ,φ⟩→0 for every fixed φ∈D(U). The scaling degree at the origin is

sd⁡0(t):=inf⁡{ω∈R:ρωtρ→0 in D′(U)}.

The infimum of the empty set is +∞; if every real ω belongs to the set, the infimum is −∞. A finite scaling degree means a real value δ∈R. For a distribution T∈D′(Rn) use the same dilation formula on tests in D(Rn). An extension of t is a distribution T on Rn whose restriction to U equals t. The degree of divergence associated with a finite scaling degree δ in dimension n is δ−n. Exact homogeneity of scaling degree δ means ρδTρ=T for every ρ>0.

For this fixed t, define its local extension family by

E(t):={T∈D′(Rn):T∣U=t}.

Here T∣U=t means ⟨T,φ~⟩=⟨t,φ⟩ for every φ∈D(U), where φ~∈D(Rn) is its smooth extension by zero. When δ=sd⁡0(t)∈R, the scaling-degree-preserving local extension family is

Eδ(t):={T∈E(t):sd⁡0(T)=δ}.

Existence of members and the affine structure of these families require separate results; the set definitions alone assert neither.

The definitions use Euclidean dilations about the specified point only. They do not assert that a given distribution arises from a product of fields or that an extension is physically selected.

LemmaStatement: AI-adaptedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Complete test Frechet space and uniform scaling order

Statement

Assume the Axiom of Choice. Let n≥1, U=Rn∖{0}, and t∈D′(U) have finite real scaling degree δ. For every compact K⊂U and every real ω>δ, there are an integer m≥0 and C<∞ such that

∣⟨tρ,ψ⟩∣≤Cρ−ωpm(ψ)(0<ρ≤1, ψ∈DK),

where DK and pm(ψ)=max⁡∣α∣≤msup⁡x∈K∣∂αψ(x)∣ are the fixed-support test-function space and seminorms of Fixed support test function frechet space. The estimate is uniform over the entire moving-scale family, not merely over each fixed test separately.

Facts & Assumptions

Given: n≥1, U=Rn∖{0}, t∈D′(U) with sd⁡0(t)=δ∈R, a compact K⊂U, and ω>δ. Assume the Axiom of Choice.

[F1]

Scaling degree and local extension space: tρ(ψ)=ρ−nt(ψ(⋅/ρ)), and δ is the infimum of the real exponents for which ρηtρ→0 on every fixed test.

[F2]

Fixed support test function frechet space: DK has increasing derivative seminorms pm and the compatible metric d(ψ,ξ)=∑m≥02−m−1min⁡(1,pm(ψ−ξ)).

[F3]

Fixed support test function spaces are complete: this metric on DK is complete and induces the seminorm topology, without a choice axiom.

[F4]

The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain: DC supplies an N-indexed chain for any serial relation and prescribed initial point.

[F5]

The Axiom of Choice: AC selects an element from every set-indexed family of nonempty sets.

[F6]
[F7]

Under Dependent Choice, a nonempty complete metric space is not a countable union of closed sets with empty interior: under DC, a nonempty complete metric space cannot be a countable union of closed sets with empty interior.

[F8]

The Axiom of Countable Choice (ACω): ACω selects a point from each sequence of nonempty sets.

[A1]

The Axiom of Choice is assumed.

Proof

Given: The hypotheses in the statement.

1.1givenF2F3F4F5F6F7F8A1

Let X=DK with the metric of [F2]. It is nonempty because it contains 0, and it is complete by [F3]. AC supplies DC by [F4]–[F6], so the Baire theorem [F7] applies. The proof of [F7] also chooses centers for its recursively constructed balls; that countable family of nonempty balls is covered by ACω from [F6] and [F8].

1.2F1givenalgebra

For fixed ψ∈X, set Lρ(ψ)=ρω⟨tρ,ψ⟩. The exponents η for which ρηtρ(ψ)→0 for every fixed test form an upward-closed set: if the limit holds at η, then for ω>η multiply by ρω−η≤1. Since its infimum is δ<ω, some such η is below ω, and consequently Lρ(ψ)→0 as ρ↓0.

2.1F1F2step 1.2

On any compact scale interval [ϵ,1] with ϵ>0, the tests ψ(⋅/ρ) have support in one compact subset of U and vary continuously in every derivative seminorm by the chain rule. Continuity of the distribution t therefore makes ρ↦Lρ(ψ) continuous there. Together with step 1.2 this proves sup⁡0<ρ≤1∣Lρ(ψ)∣<∞ for every ψ∈X.

3.1step 1.1step 2.1F7

For each positive integer N, let EN={ψ∈X:sup⁡0<ρ≤1∣Lρ(ψ)∣≤N}. Each EN is closed because every Lρ is a continuous linear functional on X. Step 2.1 gives X=⋃N≥1EN. By [F7], some EN has nonempty interior.

4.1F2step 3.1algebra∎

The topology of X is generated by the increasing seminorms in [F2], so for some ψ0∈EN, m≥0, and ε>0, the set ψ0+{ζ:pm(ζ)<ε} lies in EN. For every such ζ, subtracting the two bounds for ψ0+ζ and ψ0 gives ∣Lρ(ζ)∣≤2N for all ρ. If pm(ψ)>0, apply this to ζ=εψ/(2pm(ψ)); if pm(ψ)=0, then p0(ψ)=0 and hence ψ=0. Thus ∣Lρ(ψ)∣≤(4N/ε)pm(ψ) for every ψ and every 0<ρ≤1. Replacing Lρ by its definition proves the claimed uniform order estimate.

TheoremStatement: Literature-sourcedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

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.

PropositionStatement: Literature-sourcedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Point-extension counterterms form a finite delta-jet space

Statement

Assume the Axiom of Choice. Let n≥1, let t∈D′(Rn∖{0}) have finite real scaling degree δ, and let Eδ(t) be the set of its extensions in D′(Rn) having scaling degree exactly δ. This set is nonempty by Every finite-scaling-degree punctured distribution has an exact-degree extension. If δ<n, then Eδ(t) has exactly one member. If δ≥n, let k be the unique nonnegative integer with k≤δ−n<k+1 (the floor of δ−n). Then, for any T0∈Eδ(t),

Eδ(t)=T0+span⁡C{∂αδ0:∣α∣≤k}.

Here a point-local counterterm means a distribution whose support, as defined in Support of a distribution, is contained in {0}. Thus the same-degree freedom is finite dimensional, with precisely the displayed delta derivatives as its basis; at the threshold δ=n, only a multiple of δ0 is allowed.

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: the distribution dilation is Tρ(φ)=ρ−nT(φ(⋅/ρ)), and scaling degree is defined by convergence of ρωTρ.

[F2]

Every finite-scaling-degree punctured distribution has an exact-degree extension: under AC, every punctured distribution with finite real scaling degree δ has at least one extension of exactly that degree.

[F3]

Distributions supported at one point: a distribution supported in {0} is a unique finite sum ∑αcα∂αδ0.

[F4]

Dirac delta and its derivatives: ⟨∂αδ0,φ⟩=(−1)∣α∣∂αφ(0).

[F5]

Test function cutoffs and euclidean localization: a smooth compact cutoff equal to one near {0} exists in Rn.

[F6]

Support of a distribution: the support is the complement of the largest open set where the distribution vanishes; agreement on tests away from 0 makes the difference supported at {0}.

[A1]

The Axiom of Choice is assumed, as required by [F2].

Proof

Given: The hypotheses in the statement.

1.1givenF2F3F6A1

By [F2], choose T0∈Eδ(t). For any T∈Eδ(t) the difference S=T−T0 vanishes on every test supported away from 0, so supp⁡S⊆{0} by [F6]. By [F3], S=∑∣α∣≤mcα∂αδ0 for some finite m.

2.1F1F4F5step 1.1algebra

For S≠0, let m be the largest order with a nonzero coefficient, and choose α of order m with cα≠0. Choose η∈D(Rn) equal to one near 0 by [F5], and test with ψα(x)=η(x)xα/α!. The product rule gives ∂βψα(0)=0 for all ∣β∣≤m except β=α, where it equals 1. Consequently ⟨Sρ,ψα⟩=(−1)mcαρ−n−m. For every test φ, [F4] likewise gives ⟨Sρ,φ⟩=∑βcβ(−1)∣β∣ρ−n−∣β∣∂βφ(0). The finite sum tends to zero after multiplication by ρω for every ω>n+m, while the chosen test prevents convergence to zero for ω<n+m. Hence sd⁡0(S)=n+m.

3.1F1step 2.1algebra

Since T and T0 both have degree δ, for every ω>δ both ρωTρ and ρω(T0)ρ tend to zero. Thus sd⁡0(S)≤δ. Step 2.1 implies that every nonzero coefficient in S has order at most ⌊δ−n⌋; if δ<n, no nonzero S is possible.

4.1F1F3step 2.1step 3.1algebra∎

Conversely, let S be any finite sum of ∂αδ0 with ∣α∣≤k when δ≥n. Step 2.1 gives sd⁡0(S)≤n+k≤δ, and T0+S still restricts to t. Hence sd⁡0(T0+S)≤δ. Restriction to tests supported in Rn∖{0} gives sd⁡0(T0+S)≥sd⁡0(t)=δ, so equality holds. Uniqueness of the coefficients in [F3] identifies the displayed finite-dimensional affine space. For δ=n, k=0, giving only cδ0.

PropositionStatement: AI-adaptedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Exact four-dimensional Euclidean logarithmic scale anomaly

Statement

Assume the Axiom of Choice. On R4∖{0} let u(x)=1/(16π4∣x∣4), equivalently the square of the displayed Euclidean kernel C0(x)=1/(4π2∣x∣2); interpret u as its regular distribution there. Choose χ∈D(R4) equal to one near 0. For μ>0 define

Tμ(φ):=∫R4∖{0}φ(x)−χ(μx)φ(0)16π4∣x∣4 d4x.

Then Tμ is a distribution extending u, has scaling degree 4, and for every μ,ν>0,

Tμ−Tν=18π2log⁡(μ/ν) δ0.

In particular, no extension of u with scaling degree 4 is exactly homogeneous, where exact homogeneity means ρ4Tρ=T for every ρ>0. Coordinates use one fixed Euclidean unit; if units are assigned, μ and ν have reciprocal coordinate units, so the logarithm's ratio is dimensionless. This is a Euclidean distribution identity and does not identify a measured coupling or physical beta function.

Facts & Assumptions

Given: The Euclidean space R4, the regular distribution induced by u(x)=1/(16π4∣x∣4) on the punctured domain, a smooth compact cutoff χ=1 near 0, and μ,ν>0. Assume the Axiom of Choice.

[F1]

Scaling degree and local extension space: Tρ(φ)=ρ−4T(φ(⋅/ρ)); sd⁡0(T) is determined by the limits ρωTρ.

[F2]

Test function cutoffs and euclidean localization: there is a real smooth compact cutoff equal to one near 0.

[F3]

Regular distribution from a locally integrable function: a locally integrable function acts by the bilinear pairing φ↦∫uφ.

[F4]

Locally integrable functions embed in distributions: under ACω, this regular functional is a distribution.

[F5]

The Axiom of Countable Choice (ACω): ACω chooses from every sequence of nonempty sets.

[F6]

AC implies DC implies countable choice: in ZF, AC implies both DC and ACω.

[F7]

The polar surface set function on the unit sphere defines the finite-dimensional angular measure σ3; Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma gives the polar integral formula under ACω.

[F8]

Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative product-measurable functions integrate by iterated integrals on sigma-finite product spaces.

[F10]

Every finite-scaling-degree punctured distribution has an exact-degree extension: under AC, the punctured distribution has at least one extension with its finite scaling degree.

[F11]

Point-extension counterterms form a finite delta-jet space: same-degree extensions differ by precisely the permitted finite delta jets; at δ=n the difference is a multiple of δ0.

[F12]

Dirac delta and its derivatives: ⟨δ0,φ⟩=φ(0) and ⟨∂αδ0,φ⟩=(−1)∣α∣∂αφ(0).

[F13]

Test function topology: continuity on D(R4) is determined by continuity on each fixed-support test space.

[A1]

The Axiom of Choice is assumed. It supplies ACω for [F4] and [F7] by [F6], and DC for the scaling-degree extension theorem [F10].

Proof

Given: The hypotheses in the statement.

1.1givenF1F3F4F5F6A1algebra

The function u is smooth, hence locally integrable, on U=R4∖{0}. By [F3]–[F6] it defines a distribution t∈D′(U); direct dilation gives tρ=ρ−4t, so sd⁡0(t)=4.

1.2F5F6F7F8F9algebra

Let σ3 be the polar surface measure on S3. By [F7]–[F9] and Tonelli, π2=∫R4e−∣x∣2 d4x=σ3(S3)∫0∞e−r2r3 dr=σ3(S3)2. The last integral is 1/2 by s=r2 and integration by parts. Therefore σ3(S3)=2π2.

2.1givenF1F2F3F13step 1.1

Near 0, χ(μx)=1 and ∣φ(x)−φ(0)∣≤∣x∣sup⁡B∣∇φ∣ on a compact ball B containing 0 and the fixed test support. Thus the integrand is bounded by a fixed seminorm times ∣x∣−3 there, which is integrable in four dimensions. Away from 0 its support is contained in the compact union of supp⁡φ and μ−1supp⁡χ, and ∣x∣−4 is bounded on that support; the remaining pairing is bounded by a fixed zeroth-order seminorm, including the evaluation ∣φ(0)∣. These bounds hold uniformly on each fixed-support test space, so Tμ is continuous there and hence a distribution by [F13]. If φ is supported away from 0, then φ(0)=0, so Tμ(φ)=t(φ).

2.2F2F7F12step 1.2algebra

Subtracting the two definitions gives Tμ(φ)−Tν(φ)=−φ(0)16π4∫R4∖{0}χ(μx)−χ(νx)∣x∣4 d4x. The difference vanishes on a fixed neighborhood of 0 and outside a fixed compact set, so it is absolutely integrable. Apply [F7] separately to its positive and negative parts; the integral is ∫S3∫0∞[χ(μrω)−χ(νrω)] dr/r dσ3(ω). For μ in a compact interval [μ0,μ1]⊂(0,∞) choose 0<a<b so every first or second derivative of χ vanishes unless a≤∣y∣≤b. Writing s=log⁡μ and g(s,r,ω)=χ(esrω), the first and second s-derivatives vanish unless a/μ1≤r≤b/μ0. On this annulus, ∣∂s2g∣≤b∥∇χ∥∞+b2∥D2χ∥∞=:M, by the chain rule; these suprema are finite because χ is smooth and compactly supported. For s in a smaller compact interval and h sufficiently small, the one-variable Taylor estimate gives ∣(g(s+h,r,ω)−g(s,r,ω))/h−∂sg(s,r,ω)∣≤M∣h∣/2 uniformly in r,ω. The annulus has finite dr/r measure and S3 has finite measure by step 1.2, so integrating this uniform error proves differentiation under the polar integral. For each ω, ∫0∞∂∂log⁡μχ(μrω) drr=∫0∞∇χ(sω)⋅ω ds=χ(∞ω)−χ(0)=−1, where s=μr, χ=1 near 0, and χ is compactly supported. Since the difference integral vanishes at μ=ν, its value is −σ3(S3)log⁡(μ/ν). With step 1.2 this proves the displayed formula for Tμ−Tν.

3.1F1F12step 1.1step 2.2algebra

Changing variables in the defining integral and using u(ρx)=ρ−4u(x) gives ρ4(Tμ)ρ=Tρμ. Step 2.2 with (ρμ,μ) then gives ρ4(Tμ)ρ=Tμ+18π2log⁡ρ δ0. For every Ω>4, multiplication by ρΩ−4 makes the right side tend to zero as ρ↓0, so sd⁡0(Tμ)≤4. Restriction to U and step 1.1 give the reverse inequality, hence sd⁡0(Tμ)=4.

4.1F10F11F12step 3.1algebra∎

The exact-degree extension family is nonempty by [F10], and [F11] says every member differs from Tμ by cδ0. Since ρ4(δ0)ρ=δ0, the scaling identity of step 3.1 yields ρ4(Tμ+cδ0)ρ=Tμ+cδ0+(8π2)−1log⁡ρ δ0, which is not constant in ρ. Thus no same-degree extension is exactly homogeneous.

5 · Examples, experiments and counterexamples

None yet.

Sources