How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Polynomial Gaussians are Schwartz
Statement
For and every complex polynomial on , . No choice is required.
Facts & Assumptions
Given: The Schwartz and multi-index conventions (Schwartz space and its seminorms, maps and multi-index derivative notation in Euclidean space).
The derivative of the real exponential is itself (The exponential function is smooth and ).
Exponential decay dominates every fixed power (The exponential dominates every fixed nonnegative integer power at ).
Verification
Differentiation in coordinate sends to by [F1]. Starting at , this recurrence proves that every ordered derivative is a polynomial times the same Gaussian and is continuous. Multiplication by any leaves this form unchanged.
For any polynomial of degree at most , the sum of the absolute coefficients gives a constant with . For , choose an integer with ; then by [F2]. On the bound is at most . Thus every weighted derivative in step 1.1 has finite supremum, which is precisely the Schwartz condition. If , all derivatives and bounds are zero directly.
Depends on
Used by
Dependency tree · two levels
20 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald Teschl, Topics in Real and Functional Analysis (2017) (standard reference, not scraped)