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.
Spectral-sequence computation record
Definition
A spectral-sequence computation record consists of the following mathematical data and justifications, in the stated range of total degrees.
- Specify the input complex or functors and replacements, homological or cohomological indexing, differential bidegree, filtration direction, support bounds and target convention. State any choice axiom and its exact use, or the supplied-data alternative.
- Compute a specified page, with the maps used to identify each nonzero entry. Label zero entries by the calculation or vanishing theorem that gives zero. An uncomputed entry is not zero.
- For every later page, determine each possible differential in the claimed range, including arrows entering that range. Give its value or a bidegree, naturality or other proved vanishing reason. Specify the stationary page at each relevant bidegree, or prove the all-later vanishing required by Collapse at a page.
- Prove convergence for the actual filtration. For example, verify the hypotheses of A first quadrant filtered complex spectral sequence converges to filtered homology or its cohomological counterpart, and identify the stationary terms with the associated graded of the stated target. A written double arrow is notation for this assertion, not its proof.
- Give the finite filtration, its endpoints and the resulting extension problems in each target degree. Solve these extensions if a complete target computation is claimed. Distinguish existence of a splitting, a chosen splitting and a natural splitting. For vector spaces, state any use of AC to choose complements.
- When the spectral sequence is first-quadrant from a page and has the finite normalized abutment filtration required by Edge homomorphisms of a first quadrant spectral sequence, identify those canonical edge maps with the maps relevant to the application, and state naturality and its scope. Under any other support or convergence convention, construct the application boundary maps directly from that convention and record why the cited first-quadrant edge-map definition does not apply.
A record is complete in its declared range when no page, differential, convergence or reconstruction obligation in that range remains unresolved. A record may instead explicitly document a partial computation with named unknown differentials or extensions. For a zero target the filtration must still be identified as zero; with one graded piece the endpoint identifications give the target directly. There is no implication that a complete record chooses a canonical splitting.
Depends on
Used by
- A complete spectral-sequence computation record Example
- A two-row hypercohomology spectral sequence Example
- Grothendieck with an exact outer functor Example
- Kunneth as a two-column spectral sequence over a PID Example
- Writing E2 implies H proves convergence False statement
- An E2 page alone does not determine the abutment Proposition
Dependency tree · two levels
9 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
- Weibel, Sections 5.2-5.5 (standard reference, not scraped)