Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedprecheck pass
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 clustered point set makes tree depth enter the work

Example

This example shows why the operation theorem records tree depth, node count, and list counts explicitly. In the square [−1/2,1/2]2, place two distinct unit charges at z1=0 and z2=2−M for an integer M≥3, and refine a dyadic quadtree until every leaf has occupancy at most 1.

Facts & Assumptions

Given: The dyadic square partition, the two distinct points above, leaf occupancy 1, and the per-node passes of the planar FMM.

[F1]

Finite planar quadtree and separated interaction lists: dyadic bisection halves every cell side length, and the level-restricted linear-size hypothesis explicitly bounds the number T of nonempty cells by a constant times N.

[F2]

Fixed-order planar Laplace fast multipole procedure: the upward and downward passes visit every nonempty leaf and every parent-child edge whose two cells are nonempty.

[F3]

Planar FMM operation count under explicit linear-size tree and list bounds: the O(Np2) conclusion requires T,V,K,J=O(N).

Verification

1.1givenF1algebra

At depth h the cell along the corner path containing 0 has side length 2−h. For every h<M, 2−M<2−h, so both 0 and 2−M lie in that same cell; at the next split the second point is on the midpoint boundary and is assigned to the upper child, while 0 is assigned to the lower child. Therefore the tree has a nonempty path through depth M and at least M+1 nonempty cells, although N=2.

2.1givenF2F3step 1.1algebra∎

With fixed p=1, Np2=2 is constant as M varies, whereas [F2] makes the passes visit at least the M nonempty parent-child edges on the path from step 1.1. This family violates the uniform node bound T≤CTN required in [F3], so the theorem's hypotheses do not give a uniform O(Np2) bound over arbitrarily clustered inputs.

Depends on

Used by

Nothing in the library uses this result yet.

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