Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
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.

The two filtrations identify E2 and the composite edge

Statement

For the supplied composite data A→I, F(I)→J under the acyclicity and comparison hypotheses of the total-composite lemma, the vertical-first filtration of Tot⁡(GJ) collapses to Rn(GF)(A). The other filtration has E2p,q=RpG(RqF(A)). Its two edges are the canonical maps RnG(F(A))→Rn(GF)(A) and Rn(GF)(A)→G(RnF(A)).

Facts & Assumptions

Given: The supplied data and exact hypotheses in the statement.

[F1]

The first filtration identifies the target through the augmentation GF(I)→Tot⁡(GJ) (The total Cartan-Eilenberg complex computes the derived composite).

[F2]

The second hypercohomology sequence has E2p,q=RpG(Hq(F(I))) and finite resolution-degree filtration (Second hypercohomology spectral sequence).

[F3]

Its edges are inclusion of the bottom horizontal cycles and projection onto resolution degree zero (Hypercohomology edge maps are canonical).

Proof

1.1F1F2

The cohomology of F(I) is RqF(A), with H0(F(I))=F(A). Substitute this into F2 to obtain the displayed E2. F1 identifies the total target with Rp+q(GF)(A) through the actual augmentation quasi-isomorphism. Its proof computes the other filtration as one row, so these are two filtrations of the same total complex, not a claimed equality of their second pages.

2.1F1F3step 1.1∎

Set the lower bound to zero in F3. The bottom horizontal-cycle inclusion gives RnG(H0(F(I)))=RnG(F(A))→Hn(Tot⁡(GJ)); projection gives Hn(Tot⁡(GJ))→G(Hn(F(I)))=G(RnF(A)). Transport both along the augmentation isomorphism of step 1.1. This defines the canonical derived-composite edges and agrees with the finite filtration definition. In degree zero both reduce to GF(A); vanishing edge terms are permitted. The naturality/choice qualifications are exactly those of F1–F3.

Depends on

Dependency tree · 2 levels

Sources