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.
Explicit tail for the periodized Gaussian image sum
Statement
For , integer , and , put Then , and the denominator defining is positive.
Facts & Assumptions
Given: , , and .
Periodized Gaussian gridding kernel and Local uniform convergence of the periodized Gaussian: is the convergent sum over all integer images.
Real elementary functions and their domains: , because on ; the exponential power series gives .
For , , and for the series diverges: for , and .
Proof
Let by [F2]–[F3]. For positive omitted indices write with . Since , , so their sum is at most . By [F4] this is at most .
For negative omitted indices write with . Then , and . Their sum is at most by [F4].
The two omitted tails are nonnegative and exhaust the indices outside . Adding steps 1.1 and 1.2 gives the claimed remainder ; [F3] also proves its denominator is positive.
Depends on
- Periodized Gaussian gridding kernel
- Local uniform convergence of the periodized Gaussian
- Real elementary functions and their domains
- For $|r| < 1$, $\sum_{k \ge 0} r^k = 1/(1-r)$, and for $|r| \ge 1$ the series diverges
- The exponential function is strictly increasing
- The exponential is positive and satisfies $\exp(-x)=1/\exp(x)$
Used by
Dependency tree · two levels
32 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
- Jens Keiner, Stefan Kunis, and Antje Vollrath, The Nonequispaced FFT and its Applications, Part I, slides 44–50 (standard reference, not scraped)
- Leslie Greengard and June-Yub Lee, Accelerating the Nonuniform Fast Fourier Transform (standard reference, not scraped)