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.
Deterministic node merging for Smolyak cubature
Definition
Input: dimension , a finite downward-closed containing , the finitely many levels required by , a
function evaluable at their nodes, and for each exact node a canonical key
in a totally ordered set. Keys must agree exactly if and only if the real node
tuples agree. If any required rule or key is missing, return invalid-input.
Output: the sorted list of distinct node tuples with their combined signed weights, the value , and the actual evaluation count .
- Expand each detail in the finite Smolyak sum of Smolyak cubature on a finite downward-closed index set by replacing each coordinate factor with and each () with . Enumerate the resulting finite signed tensor rules in lexicographic multi-index order.
- For each tensor rule, enumerate its finite node tuples in lexicographic coordinate-key order. Add its signed coefficient to a finite map indexed by the exact tuple key; initialize an unseen key with coefficient .
- Form , sort its distinct exact keys, and evaluate once at each of these keys. Return the map of combined coefficients and the finite sum of coefficient times function value. Set , including any node whose combined coefficient is zero; this is the work convention used in this pair.
This is an exact-real finite procedure. Approximate floating-point node comparisons, arithmetic, and function-evaluation error are outside its claims.
Depends on
Used by
Dependency tree · two levels
18 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
- T. Gerstner and M. Griebel, Sparse Grids, Encyclopedia of Quantitative Finance, §Numerical integration (standard reference, not scraped)
- N. Zabaras, Sparse Grid Collocation Methods, lecture notes, slides 17–21 (standard reference, not scraped)
- T. Gerstner and M. Griebel, Dimension-Adaptive Tensor-Product Quadrature, §3 (standard reference, not scraped)