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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Projection and quadrature errors split in L2
Statement
Let be real, choose a representative defined at every node of the finite cubature rule used below, let be finite, and use the exact and quadrature coefficients from Finite polynomial-chaos orthogonal projection and Quadrature estimates of polynomial-chaos coefficients, with as the evaluable input to that estimator. Then Since the finite sum equals , the triangle inequality also gives Thus coefficient quadrature error and finite-space projection error remain separate even when no completeness statement is available.
Facts & Assumptions
Given: A finite real orthonormal family, , and finite quadrature values .
Quadrature estimates of polynomial-chaos coefficients defines using the finite basis sum.
Finite polynomial-chaos orthogonal projection defines and .
Independent polynomial-chaos tensor products are orthonormal gives the orthonormality of the finite basis.
Finite polynomial-chaos orthogonal projection gives the choice-free bilinear integral pairing inducing the norm; the finite orthogonality identities follow by expansion.
Cauchy-Schwarz inequality for bounds , and The modulus of an integral is bounded by the integral of the modulus bounds by that integral. Expanding then gives the norm triangle inequality.
Proof
For each , the coefficient formula [F2], orthonormality [F3], and bilinearity [F4] give . Thus is orthogonal to the finite span , including when is empty. Subtracting the two finite expansions gives , so this difference is orthogonal to the residual.
The identity is an orthogonal sum by step 1.1. Expanding its squared norm using [F4] gives ; orthonormality [F3] identifies the second term with . To obtain the final inequality, use [F5] to expand and deduce for and .
Depends on
Used by
Dependency tree · two levels
19 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
- Bruno Sudret, Polynomial Chaos Expansions and Stochastic Finite Element Methods, §3.4.3 (standard reference, not scraped)
- Dongbin Xiu, Fast Numerical Methods for Stochastic Computations, §4 (standard reference, not scraped)