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.
The Poisson kernel on the circle is a positive approximate identity
Statement
For , let
Then
Hence for every , , and for every ,
In particular,
Facts & Assumptions
Given: A parameter with and a real .
The Poisson kernel and the characters are defined in Cesaro and Abel means of a Fourier series and Period-one Fourier coefficients, partial sums, and convolution on the torus.
Proof
Let . By [L1], Both geometric series converge absolutely, so Since , this is exactly
Step 1.1 shows because and the numerator is positive for . Also the constant Fourier coefficient of is , so
The limit only concerns , so it is enough to consider . If , then Therefore step 1.1 gives As , the right-hand side tends to , so the displayed supremum tends to . Multiplying that supremum bound by the interval length at most gives the same limit for the tail integral.
Depends on
Used by
Dependency tree · two levels
3 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
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (standard reference, not scraped)
- Michael E. Taylor, Fourier Analysis, Distributions, and Constant-Coefficient Linear PDE (standard reference, not scraped)
- Loukas Grafakos, Classical Fourier Analysis, 3rd ed. (standard reference, not scraped)