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.
Finite polynomial-chaos orthogonal projection
Definition
For real and a finite subset of the admissible degree box, with as in Finite orthonormal polynomial tensor basis, define The scalar integral pairing is choice-free: for representatives of classes in , Cauchy–Schwarz makes integrable, and the integral is unchanged when either representative is changed on a null set. Its bilinearity follows from linearity of the integral and its symmetry from commutativity of multiplication; moreover , so it is positive definite on the quotient. These facts use only the integral pairing, not completeness of . The displayed finite sum is the orthogonal projection onto of Finite orthonormal polynomial tensor basis.
Depends on
- Finite orthonormal polynomial tensor basis
- The space $L^p(\mu)$ as the quotient by null functions
- The $L^p$ norm descends to the quotient and makes $L^p$ a normed space for $1 \le p \le \infty$
- Cauchy-Schwarz inequality for $L^2$
- Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree
- The Lebesgue integral is linear on $L^1(\mu)$
Used by
Dependency tree · two levels
26 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
- Dongbin Xiu, Fast Numerical Methods for Stochastic Computations, §§3.3–3.4 (standard reference, not scraped)
- Bruno Sudret, Polynomial Chaos Expansions and Stochastic Finite Element Methods, §3.4.2 (standard reference, not scraped)