Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: Literature-sourcedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05
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 local PID gives a two-point spectrum with one generic point and one closed point

Example

Let k be a field and let R=k[x](x). Then Spec(R)={(0),(x)}, with (0) the generic point and (x) the unique closed point.

Facts & Assumptions

Given: A field k and the local PID R=k[x](x).

[L1]

Specialisation in a prime spectrum is reverse inclusion (Specialisation in a prime spectrum is reverse inclusion).

[L2]

Closed points of a spectrum are exactly maximal ideals (The closed points of the prime spectrum are exactly the maximal ideals).

[A1]

The only prime ideals of the discrete valuation ring k[x](x) are (0) and (x), and (x) is maximal.

Verification

technique · direct
1.1

Fact [A1] gives the full point set Spec(R)={(0),(x)}. Since (0)(x), fact [L1] shows that (x) is a specialization of (0), so (0) is the generic point.

L1A1
1.2

By [A1], the ideal (x) is maximal. Therefore [L2] makes (x) the unique closed point of the spectrum.

L2A1
2.1

Thus the specialization poset of Spec(k[x](x)) is the two-point chain (0)(x).

step 1.1step 1.2

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

5 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