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.
Nested H² cluster bases and interaction lists
Definition
In the H-matrix setting of H-matrix block representation, an H² representation assigns a row basis to every row cluster and a column basis to every column cluster , with . For every internal row cluster with children , it stores transfer matrices satisfying
For every internal column cluster with children , it stores transfer matrices satisfying . These identities are the nested-basis conditions. An admissible block leaf is represented by with coupling matrix ; near block leaves remain dense.
Let denote the admissible leaves of the block-cluster partition. The row interaction list of is , and the column interaction list of is . An H² representation may impose a bound on these list lengths or on their total count; any complexity theorem must state which bound it uses.
Storage convention: Store the basis arrays explicitly only at leaf clusters. Store each internal cluster's child-to-parent transfer matrices; the basis of an internal cluster is reconstructed recursively from its children and these transfers.
Depends on
Used by
Dependency tree · two levels
3 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), Chapter 9, §§9.1–9.2 (standard reference, not scraped)
- Ralf Hiptmair, AdvNumCSE Lecture Document, Chapter 2, “Local Low-Rank Compression of Non-Local Operators” (ETH Zürich, AT’23), §2.4.6 (standard reference, not scraped)