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.
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- 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.
If nonadjacent in an -vertex graph satisfy , then adding preserves Hamiltonicity in both directions
Statement
Let be a finite simple graph on vertices, and let be nonadjacent vertices satisfying
Then is Hamiltonian if and only if is Hamiltonian.
Facts & Assumptions
Given: The graph , its order , and the eligible nonedge in the statement.
A Hamilton cycle contains every vertex exactly once before returning to its start (Hamilton paths, Hamilton cycles, Hamiltonian graphs and Hamilton-connected graphs).
The degree of a vertex is the cardinality of its neighbourhood (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
Cardinalities of finite sets obey the pigeonhole principle for two subsets of a common finite set (The cardinality of a finite set).
Proof
Every Hamilton cycle of is also a Hamilton cycle of , so Hamiltonicity of implies Hamiltonicity of .
Conversely, take a Hamilton cycle of . If it avoids the new edge , it is already a Hamilton cycle of . If it uses , deleting that edge leaves a Hamilton path in .
For , put in when is an edge of , and put in when is an edge. Since and are nonadjacent, and . Both lie in an -element index set, while , so .
Choose . Then is a Hamilton cycle in : the two joining edges are and , and all other edges come from the path in step 1.2.
The cases in step 1.2 and the construction in step 2.1 prove that Hamiltonicity of implies Hamiltonicity of ; step 1.1 proves the other direction.
Depends on
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 32 results over 17 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Applied Combinatorics, Eulerian and Hamiltonian Graphs (standard reference, not scraped)