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 separated Cauchy block has a geometric rank bound
Statement
Let , , and choose points and . Put and define the Cauchy block . For any integer , the matrix with entries has rank at most and satisfies and . If and the H-matrix rank cap satisfies , the sampled clusters are admissible and is a permitted rank-at-most- far-block representation.
Facts & Assumptions
Given: The real intervals, their sample points, and the integer truncation order .
Finite cluster trees and geometric admissibility: admissibility requires positive distance and .
Finite tensor arrays and the Frobenius inner product: the matrix Frobenius norm is the square root of the sum of squared entry moduli, and the rank is the dimension of the column image.
H-matrix block representation: an admissible H-matrix block is stored as with rank at most the declared cap.
Proof
For one has . Since , division by gives the exact identity .
Because and , step 1.1 gives . Each summand of is the outer product of and , so its column image lies in the span of at most vectors and its rank is at most .
Summing the squared entrywise bound from step 2.1 over the entries and using [F2] gives . The sample clusters have distance at least and diameters at most and ; since , the additional inequality in the Statement implies admissibility by [F1]. The rank bound in step 2.1 and then meet the far-block representation in [F3].
Depends on
Used by
Dependency tree · two levels
4 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), §§1.2–1.3 (standard reference, not scraped)
- Ralf Hiptmair, AdvNumCSE Lecture Document, Chapter 2, “Local Low-Rank Compression of Non-Local Operators” (ETH Zürich, AT’23), §2.2.2.1 (standard reference, not scraped)