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-budget successive over-relaxation stationary iteration
Definition
Input , , , a real
relaxation parameter , and an iteration budget .
Check dimensions; on a mismatch return invalid-input. If , return
invalid-relaxation. Form by
Diagonal, lower, and upper parts in the stationary-iteration convention. If some diagonal entry of
is zero, return pivot-failure(i) for the least such index .
Otherwise set
so . For each , solve
by forward substitution in increasing index order. The lower-triangular
coefficient matrix has diagonal entries , which are nonzero
after the checks. Return completed with . The solve is unique by
Forward and backward substitution for triangular linear systems and
Forward and backward substitution are correct, unique, and quadratic in scalar operations.
A zero budget returns . This procedure is defined for every real
; it reports no convergence or accuracy certificate.
Depends on
Used by
Dependency tree · two levels
7 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
- Yousef Saad, Iterative Methods for Sparse Linear Systems, 2nd ed., §4.1 (standard reference, not scraped)
- David Bindel, Matrix Computations (CS 6210), Cornell University, Fall 2012, Lecture 31 (standard reference, not scraped)
- Rutgers University MATH 574, Lecture Notes, §3 Matrix iterative methods (standard reference, not scraped)