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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6-luna)
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Nested-basis H² multiplication is exact for its represented matrix

Statement

For every nested-basis H² representation A~∈FI×J and every vector x∈FJ, Nested-basis H² matrix-vector multiplication returns A~x exactly.

Facts & Assumptions

Given: The H² bases and transfer matrices, the represented matrix A~, its block-cluster partition, and x∈FJ.

[F1]

Nested H² cluster bases and interaction lists: on each child τi of a parent τ, Uτ∣τi=UτiEτiU; column bases satisfy the analogous identity with EV.

[F2]

Nested H² cluster bases and interaction lists: each admissible block is represented by UτSτσVσ∗, and each near block is stored densely.

[F3]

Block-cluster leaves partition the index-pair set: terminal rectangles are disjoint and cover I×J.

[F4]

Nested-basis H² matrix-vector multiplication: the procedure computes column coefficients upward, accumulates coupling products, propagates row coefficients downward, and multiplies dense near blocks directly.

Proof

1.1F1F4inductionalgebra

At a column leaf σ, the algorithm sets zσ=Vσ∗x∣σ. Suppose this identity holds for both children σ1,σ2 of an internal cluster σ. By the nestedness in [F1] and the disjoint union of child indices, Vσ∗x∣σ=∑j=12(EσjV)∗Vσj∗x∣σj=∑j=12(EσjV)∗zσj, exactly the upward update in [F4]. Induction gives zσ=Vσ∗x∣σ for every column cluster.

1.2F1F2F4algebra

Fix a far block (τ,σ). Its coupling contributes Sτσzσ=SτσVσ∗x∣σ to wτ. Each downward transfer from a parent to a child applies the corresponding EU; repeated nestedness [F1] therefore turns UτSτσVσ∗x∣σ into exactly its restriction on every descendant row leaf. Summing the finite far-block contributions gives their full matrix action.

2.1F2F3F4step 1.2algebra∎

By [F2] and [F4], every near block contributes its exact dense product Dτσx∣σ. The far and near block leaves partition I×J by [F3], so adding their actions gives every entry of A~x exactly once in the matrix sum. Thus the returned vector is A~x.

Depends on

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