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Smolyak mixed-regularity bounds control chaos coefficient error

Statement

Assume ρ is uniform product probability on [0,1]d, so its integral is Id in Explicit work and error rate for dyadic Simpson Smolyak cubature. Let p be an admissible cutoff vector for this law and let Λ be a finite subset of its admissible degree box, with basis from Finite orthonormal polynomial tensor basis. Let QΛn be that theorem's dyadic Simpson Smolyak rule, with n≥2d. Let u∈L2(ρ) be real and fix a representative u~ defined at every node of QΛn. For every α∈Λ, suppose the coefficient integrand gα=u~ψα has the continuous mixed fourth derivatives and finite bounds Mα,S required by Mixed-derivative bounds for dyadic Simpson details. Define Eα,n:=Cd∥gα∥mix,dWn,d−4(log⁡(2+Wn,d))5(d−1), with the constants and mixed norm of the sparse-grid theorem. Then (∑α∈Λ∣QΛn(uψα)−⟨u,ψα⟩∣2)1/2≤(∑α∈ΛEα,n2)1/2. The error-split theorem consequently bounds the L2 coefficient contribution by the right-hand side; this claim is restricted to the stated cube law and mixed regularity.

Facts & Assumptions

Given: Uniform product measure on [0,1]d, a finite chaos basis, and the stated mixed-derivative hypotheses for each coefficient integrand.

[F1]

Explicit work and error rate for dyadic Simpson Smolyak cubature bounds each scalar Smolyak integration error by Eα,n under its displayed hypotheses.

[F2]

Mixed-derivative bounds for dyadic Simpson details supplies the exact mixed-derivative and endpoint convention required by [F1].

[F3]

Smolyak cubature on a finite downward-closed index set defines QΛn as a finite cubature functional.

[F4]

Projection and quadrature errors split in L2 identifies the Euclidean coefficient-error norm as the L2 quadrature contribution.

Proof

1.1F1F2F3given

For each α, apply [F1] to gα=u~ψα. Its assumptions are exactly the mixed-derivative bounds and cube domain in Given, with [F2] supplying the theorem's specified mixed norm. Thus ∣QΛn(gα)−∫gα dρ∣≤Eα,n. Since u~ represents u, the integral equals ⟨u,ψα⟩ by the uniform product law.

2.1step 1.1algebra

Square the finitely many nonnegative inequalities from step 1.1, sum over α, and take square roots; monotonicity of the square root gives the stated Euclidean bound.

3.1F4step 2.1∎

Apply [F4] with these coefficient errors. Its exact orthogonal error decomposition leaves the projection residual unchanged and adds the bounded Euclidean coefficient term, which proves the final assertion.

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