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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)
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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.

Depends on

Dependency tree · 2 levels

Sources