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.
Polynomials are uniformly dense in for every closed interval
Statement
For , every continuous real function on is a uniform limit of polynomials.
Facts & Assumptions
Given: and .
Polynomials are uniformly dense on (Polynomials are uniformly dense in ).
Closed intervals have the endpoint convention of Intervals of : the nine order-convex forms, nondegeneracy, and length.
Proof
If , the constant polynomial agrees with on the singleton interval.
Now suppose and define on .
Choose a polynomial with on by [L1].
Then is a polynomial and satisfies on . Together with step 1.1 this proves both cases.
Depends on
Used by
- Legendre polynomials from Gram–Schmidt Example
- The polynomial algebra is dense but not closed on a nondegenerate compact interval Example
- A nowhere-vanishing real function algebra on a compact space approximates the constant one Lemma
- The uniform closure of a real function algebra is a vector lattice Lemma
- The uniform closure of a unital real function algebra is closed under absolute value, maximum, and minimum Lemma
- Riemann–Lebesgue lemma for continuous functions on a compact interval Theorem
Dependency tree · two levels
7 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
- Bernstein polynomial (Encyclopedia of Mathematics) (standard reference, not scraped)