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TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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Finite seminorm bound characterizes tempered distributions

Statement

Let u:S(Rn)→C be complex-linear. Then u is tempered if and only if there are C≥0 and integers N,M≥0 such that

∣⟨u,φ⟩∣≤Cmax⁡∣α∣≤N, ∣β∣≤Msup⁡x∈Rn∣xα∂βφ(x)∣

for every φ∈S(Rn).

Facts & Assumptions

Given: A complex-linear functional u on S(Rn).

[F1]

A basic zero-neighborhood in Schwartz space imposes finitely many strict bounds on its defining seminorms (Tempered distribution).

Proof

technique · direct continuity estimate
1.1F1

Suppose u is continuous. There is a basic zero-neighborhood U={φ:pαjβj(φ)<εj,1≤j≤r} on which ∣u(φ)∣<1. If r=0, then U=S and linearity forces u=0, so take C=0. Otherwise put Q(φ)=max⁡jpαjβj(φ)/εj.

2.1F1step 1.1

If Q(φ)>0, then φ/(2Q(φ))∈U, whence ∣u(φ)∣<2Q(φ). If Q(φ)=0, every scalar multiple of φ lies in U; boundedness of those scalar multiples of u(φ) forces u(φ)=0. Choose N and M dominating the finitely many ∣αj∣ and ∣βj∣. Then Q(φ) is at most max⁡jεj−1 times the rectangular maximum in the statement, which proves the required estimate.

3.1F1given∎

Conversely, assume the displayed estimate. For every ε>0, the set on which its finite maximum is less than ε/(C+1) is a zero-neighborhood and is carried by u into the disk of radius ε. Thus u is continuous and hence tempered.

Depends on

Dependency tree · 2 levels

Sources