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.
Fejer means need not converge uniformly for discontinuous data
Statement refuted
For every one-periodic integrable function , the Fejer means converge uniformly to .
Facts & Assumptions
Given: The one-periodic step function with .
The Fejer means are averages of the Fourier partial sums (Cesaro and Abel means of a Fourier series).
Counterexample
For each , the function is a trigonometric polynomial for every , so [L1] makes a trigonometric polynomial as well. In particular, every is continuous.
If converged uniformly to , then the uniform limit of the continuous functions would be continuous. But the chosen has a jump at , so it is discontinuous. Therefore uniform convergence to is impossible. This single step function refutes the universal statement.
Depends on
Used by
Nothing in the library uses this result yet.
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)
- Loukas Grafakos, Classical Fourier Analysis, 3rd ed. (standard reference, not scraped)