Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generated
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.

Smolyak polynomial exactness from actual one-dimensional levels

Statement

Let d≥1 and let (Qℓ) be a nested hierarchy as in Nested one-dimensional quadrature levels and differences. Suppose nondecreasing integers rℓ≥0 are supplied such that Qℓ(p)=∫01p for every real polynomial p of degree at most rℓ. Let pj be a polynomial of degree at most sj in coordinate j, and suppose qj is the least level with sj≤rqj. If a finite downward-closed Smolyak set Λ contains the whole rectangle Rq={ℓ:0≤ℓj≤qj}, then its rule Smolyak cubature on a finite downward-closed index set exactly integrates every finite linear combination of the tensor polynomials p1(x1)⋯pd(xd) with those coordinate-degree bounds. In particular, for Λn:={ℓ∈N0d:∣ℓ∣1≤n}, the rule is exact whenever ∑jqj≤n. The rℓ are the exactness degrees of the actual one-dimensional levels, distinct from the node counts mℓ in the hierarchy definition; the conclusion does not infer exactness degrees from node counts.

For the selected composite-Simpson hierarchy, each level is exact through degree three, so every tensor polynomial with coordinate degrees at most three is exact on any admissible Λ.

Facts & Assumptions

Given: d≥1, a nested one-dimensional rule hierarchy with the stated nondecreasing polynomial exactness degrees, coordinate polynomials pj, their degree levels qj, and a finite downward-closed Λ⊇Rq.

[A1]

For every level ℓ, Qℓ integrates every polynomial of degree at most rℓ exactly, and rℓ is nondecreasing.

[F1]

Nested one-dimensional quadrature levels and differences: Δ0=Q0 and Δℓ=Qℓ−Qℓ−1 for ℓ≥1; tensor rules multiply coordinate weights.

[F2]

Smolyak cubature on a finite downward-closed index set: QΛ is the finite sum of tensor details over ℓ∈Λ.

[F3]

Rectangular telescoping of tensor details: the sum of the tensor details over Rq is Qq1⊗⋯⊗Qqd.

[F4]

The integral of a product function on a product rectangle is the product of the two integrals: the integral of a product function on a product of nondegenerate rectangles is the product of the coordinate integrals.

[F5]

Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in Rm: the multiple Riemann integral is linear on finite sums of integrable functions.

[F6]

Laws of finite sums and finite products: finite sums are additive and obey scalar scaling.

[F7]

Composite Simpson rule is exact through cubic degree: the composite-Simpson rule on [0,1] is exact for every polynomial of degree at most three whenever its panel count is even and at least two.

Proof

1.1givenA1F1algebra

Fix a tensor polynomial p(x)=∏j=1dpj(xj). If some ℓj>qj, then ℓj−1≥qj, so [A1] makes both Qℓj and Qℓj−1 exact on pj; hence Δℓj(pj)=0. Therefore every tensor detail with ℓ∉Rq vanishes on p.

2.1givenA1F2F3F4step 1.1algebra

Since Rq⊆Λ, [F2] and step 1.1 reduce QΛ(p) to the rectangular detail sum. By [F3] this is ∏j=1dQqj(pj), which equals ∏j∫01pj by [A1]. Repeated application of [F4] identifies this product with Id(p).

3.1givenF5F6step 2.1algebra

Every stated tensor polynomial is a finite linear combination of products handled in step 2.1. The finite rule and the multiple integral are linear by [F5]–[F6], so exactness extends term by term. If ∑jqj≤n, every ℓ∈Rq has ∣ℓ∣1≤n, hence Rq⊆Λn, proving the isotropic-simplex claim.

4.1givenF1F7step 3.1∎

For the hierarchy of Nested one-dimensional quadrature levels and differences, each level has panel count 2ℓ+1, which is even and at least two. Thus [F7] makes every Qℓ exact through degree three. Set rℓ=3 for all ℓ; for coordinate degrees sj≤3 the least levels are qj=0, so Rq={0}⊆Λ. Step 3.1 gives the stated exactness for these tensor polynomials.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

40 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