Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge 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.

Directed and undirected Hamiltonian path and cycle decision problems

Definition

Let D=(V,A) be a finite directed graph in the sense of Multigraphs, loops and directed graphs as variants distinct from the default finite simple graph. A directed Hamiltonian path in D is an ordering v1,,vn of all vertices of V such that (vi,vi+1)A for each 1i<n. A directed Hamiltonian cycle in D is a cyclic ordering v1,,vn,v1 of all vertices of V such that (vi,vi+1)A for 1i<n and (vn,v1)A.

Let G be a finite simple graph. An undirected Hamiltonian path in G is a path in the sense of Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges that visits every vertex exactly once, and an undirected Hamiltonian cycle in G is a cycle there that visits every vertex exactly once.

The four decision problems are:

  • directed Hamiltonian path: given D, decide whether D has a directed Hamiltonian path;
  • directed Hamiltonian cycle: given D, decide whether D has a directed Hamiltonian cycle;
  • undirected Hamiltonian path: given G, decide whether G has an undirected Hamiltonian path;
  • undirected Hamiltonian cycle: given G, decide whether G has an undirected Hamiltonian cycle.

Depends on

Used by

Dependency tree · two levels

6 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