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.
A nearfield identity block requires full rank for subunit spectral error
Example
Let have coordinates and , choose leaf threshold , and use the block . Its distance from itself is zero, so it is inadmissible and terminates as a dense near block. For , no rank-one approximation has operator-norm error below one.
Facts & Assumptions
Given: The cluster , its two coordinates, the threshold , and the identity matrix .
Finite cluster trees and geometric admissibility: a pair is admissible only at positive distance, and the block recursion stops when both clusters are leaves.
H-matrix block representation: near block leaves are stored as full dense matrices.
The best rank-at-most-k approximation in operator norm is the rank-k truncation of a singular value decomposition: every rank-at-most-one matrix has operator-norm error at least the second singular value of the identity matrix.
The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||: the operator norm is the maximum vector stretch over unit vectors.
Verification
Since , is not admissible. The cluster has size and is a leaf, so its block pair is terminal and near by [F1]; [F2] therefore stores this block densely.
The singular values of are . Applying [F3] with rank cap one shows for every rank-at-most-one , where [F4] identifies this norm as the maximum unit-vector stretch. Thus replacing this dense near block by a rank-at-most-one matrix cannot meet any spectral error tolerance strictly below one.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
10 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
- Steffen Börm, Lars Grasedyck, and Wolfgang Hackbusch, Hierarchical Matrices, MiS Lecture Note 21 (2003; revised June 2006), §§1.5–1.6 (standard reference, not scraped)