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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Finite aggregation AMG preserves the SPD matrix class and returns a status
Statement
For every admissible input to
Finite strength-graph aggregation and Galerkin hierarchy with explicit statuses, each successful
aggregation partitions the current indices into nonempty disjoint sets. Its
indicator prolongation has full column rank. Every successful Galerkin product
is symmetric positive definite
with nonpositive off-diagonal entries. The setup procedure terminates after at
most coarsening attempts and returns exactly one of coarse-reached,
level-cap, or coarsening-stalled. These structural properties do not imply
multigrid convergence.
Facts & Assumptions
Given: The admissible real symmetric positive-definite matrix with nonpositive off-diagonal entries, , , and real finite cap .
Finite strength-graph aggregation and Galerkin hierarchy with explicit statuses: each aggregate begins with the smallest unassigned vertex and removes that vertex together with some of its still-unassigned neighbours; the output uses exactly on aggregate membership and the Galerkin product. Before each attempt, the procedure returns level-cap if .
The Galerkin coarse correction is an energy-orthogonal projector: if a real SPD matrix is compressed by a full-column-rank prolongation, the Galerkin coarse matrix is SPD.
Hermitian positive-definite matrices and Cholesky factorisation A = LL* with positive diagonal: positive definite in the real case means symmetric and strictly positive quadratic form on every nonzero vector.
Proof
At any aggregation pass the unassigned set is finite and nonempty. The selected smallest vertex belongs to the new aggregate, so at least one vertex is removed. No previously removed vertex can reappear because every neighbour is intersected with . Thus the aggregates are pairwise disjoint and, when the finite loop ends at , cover all current indices. Each aggregate is nonempty. If , choose any row index in aggregate ; its row has a single in column , so that component of is . This holds for every , hence has full column rank.
By [F2] and step 1.1, is SPD. For distinct aggregate columns , disjointness gives since in every summand and the fine matrix has nonpositive off-diagonal entries. Symmetry follows from symmetry of . Induction over successful levels proves the same matrix class at each returned level.
Each aggregation pass is finite by step 1.1. A pass is attempted only when , so the number of attempts is an integer at most . At each outer iteration, step 1 returns coarse-reached when ; otherwise the cap test in [F1] returns level-cap when . If neither branch applies, a pass is performed and either returns coarsening-stalled, or the procedure advances to the next level. These ordered branches exhaust the procedure, so it terminates with exactly one listed status.
The preceding steps establish the partition, rank, matrix-class and status claims. No step asserts a contraction factor.
Depends on
- Finite strength-graph aggregation and Galerkin hierarchy with explicit statuses
- The Galerkin coarse correction is an energy-orthogonal projector
- Hermitian positive-definite matrices and Cholesky factorisation A = LL* with positive diagonal
- Rectangular matrix multiplication and the identity matrix $I_n$, including zero-sized shapes
Used by
Nothing in the library uses this result yet.
Cited to discharge well-definedness by Finite strength-graph aggregation and Galerkin hierarchy with explicit statuses.
Dependency tree · two levels
12 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)