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 strength-graph aggregation and Galerkin hierarchy with explicit statuses
Definition
This is a finite aggregation-based algebraic multigrid setup procedure; it constructs a hierarchy and does not claim that any cycle converges. All arithmetic and comparisons below are exact. An admissible input consists of an integer , a real symmetric positive-definite matrix whose off-diagonal entries satisfy , a real threshold , a coarse-size threshold , and a real level cap . A matrix with these sign and definiteness conditions is the matrix class used here. The terms strength graph, aggregate, prolongation, and Galerkin hierarchy are defined by the steps below.
Initialize once and retain in the output. Then execute the following level steps.
- Set . If
, return status
coarse-reached. - If before the next aggregation attempt, return status
level-cap. - On vertices , place an undirected edge for exactly when and at least one of holds. This finite graph is the strength graph at level .
- Let and start with no aggregates. While , let be the smallest element of , create one aggregate where is its strength-graph neighbour set, then remove every element of from . This produces an ordered family of aggregates.
- Let be the number of aggregates. If , return status
coarsening-stalledwith the hierarchy through level . Otherwise form the indicator prolongation form the Galerkin coarse matrix , append , replace by , and return to step 1.
The result contains all completed matrices and prolongations and exactly one
status: coarse-reached, level-cap, or coarsening-stalled. Reaching any
status is not a convergence or quality certificate.
Depends on
- Galerkin coarse matrices and the exact coarse-correction error map
- The Galerkin coarse correction is an energy-orthogonal projector
- Rectangular matrix multiplication and the identity matrix $I_n$, including zero-sized shapes
- Hermitian positive-definite matrices and Cholesky factorisation A = LL* with positive diagonal
Used by
Dependency tree · two levels
14 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
- Chen-Song Zhang, Multilevel Iterative Methods, version 0.5, Chapter 6 (standard reference, not scraped)
- Susanne C. Brenner and L. Ridgway Scott, The Mathematical Theory of Finite Element Methods, 3rd ed., Chapter 6 (standard reference, not scraped)