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.
Size and depth of a balanced cluster tree
Statement
Let be a finite ordered set of size , and let be an integer with . In the balanced cluster tree of Finite cluster trees and geometric admissibility, every cluster at depth has size at most . The tree has depth at most , at most leaves, and at most nodes.
Facts & Assumptions
Given: The finite ordered index set , its size , the leaf threshold , and the balanced cluster tree.
Finite cluster trees and geometric admissibility: each cluster larger than splits into two disjoint children of sizes and , and clusters of size at most are leaves.
Proof
At depth zero the root has size . If a cluster at depth has size at most , each child has size at most , since the split sizes differ by at most one. Induction proves the size bound at every depth.
Put . Then , so . By step 1.1 every cluster at depth has size at most and is a leaf; hence the tree depth is at most .
If a leaf is not the root, its parent has an integer size , so the smaller child has size . The same lower bound on leaf size holds when the root is a leaf because then there is one leaf and . Since the leaves partition , their number satisfies , hence . A full binary tree with leaves has internal nodes, so it has nodes.
Remarks
The bounds include and . For the root alone is a leaf; for every leaf is a singleton.
Depends on
Used by
Dependency tree · one level
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Sources
- Steffen Börm, Lars Grasedyck, and Wolfgang Hackbusch, Hierarchical Matrices, MiS Lecture Note 21 (2003; revised June 2006), §§2.1.1–2.1.2 (standard reference, not scraped)
- Ralf Hiptmair, AdvNumCSE Lecture Document, Chapter 2, “Local Low-Rank Compression of Non-Local Operators” (ETH Zürich, AT’23), §2.3.2 (standard reference, not scraped)