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 finite failed move search is not a negative certificate
Statement refuted
Assume ACω. For every nonnegative integer and every pair of valid normalized oriented codes for connected one-component knot diagrams, if the breadth-first Reidemeister search finds no move path of length at most , then the represented oriented knot types are inequivalent.
Statement references
Planar-diagram, Gauss, and signed Dowker–Thistlethwaite codes
Valid codes reconstruct the declared link diagram
Breadth-first Reidemeister search
Reidemeister enumeration is only a semidecision
Reidemeister's theorem for oriented diagrams
Quandles and knot-diagram colorings
Compute dihedral Fox colorings by row reduction
The Fox-coloring algorithm terminates and returns all colorings
Dihedral Fox coloring counts are preserved by Reidemeister moves
The Axiom of Countable Choice ()
Facts & Assumptions
Given: ACω, a nonnegative integer , the crossingless unknot diagram , and the depth-limited breadth-first move search.
Oriented Reidemeister moves: R1 changes the crossing count by one, R2 changes it by two, R3 preserves it, and planar isotopy preserves it.
Breadth-first Reidemeister search: each finite breadth layer is fully processed before the next, and no finite layer returns an inequivalence result.
Planar-diagram, Gauss, and signed Dowker–Thistlethwaite codes: normalized one-component oriented planar-diagram codes use the finite crossing, dart-pairing, rotation, orientation, over/under, sign, and outer-face data; the crossingless one-component code records its circle orientation.
Valid codes reconstruct the declared link diagram: the normalized code of a regular diagram with crossings appears among the valid one-component codes enumerated at bound , and a valid code reconstructs its declared diagram.
Quandles and knot-diagram colorings: a Fox coloring assigns one element of the coloring quandle to each arc and satisfies the crossing relation determined by the overarc and underarcs.
Compute dihedral Fox colorings by row reduction: for odd prime , each crossing contributes over and the reduced system parametrizes colorings by free variables.
The Fox-coloring algorithm terminates and returns all colorings: if the reduced system has free variables, the algorithm returns exactly Fox colorings.
Dihedral Fox coloring counts are preserved by Reidemeister moves: for odd prime , the Fox coloring count is unchanged along every finite sequence of oriented Reidemeister moves and planar isotopies.
Reidemeister's theorem for oriented diagrams: under ACω, two oriented diagrams represent equivalent oriented knots exactly when a finite sequence of planar isotopies and oriented Reidemeister moves connects them.
The Axiom of Countable Choice (): ACω is the assumption that every countable family of nonempty sets has a choice function.
Counterexample
Starting with , insert disjoint type-I kinks, one at a time, to form a diagram . Each insertion is one R1 move, so deleting the kinks gives an explicit sequence of moves from to . Both diagrams are regular one-component knot diagrams; their normalized codes are valid and occur among the enumerated candidates at their crossing bounds by [F3] and [F4]. By [A1] and [F9], the finite move sequence makes the represented oriented knots equivalent.
The crossing count difference is . By [F1], any single Reidemeister move changes crossing count by at most two. A path of at most moves could therefore change the crossing count by at most , so no such path connects these two diagrams. The search through depth completes its finite layers by [F2] without finding a path, although the diagrams are equivalent by step 1.1. This refutes the statement.
The crossingless unknot has one arc and no crossing equations, so [F5]–[F7] give Fox 3-colorings. For the standard trefoil with arcs , the crossing equations are , , and . In , , so all rows are ; the matrix has rank one and two free variables, giving colorings by [F6] and [F7]. These equations do not use strand arrows, so reversing either orientation leaves the count unchanged. If the underlying unoriented knots were ambient-isotopic, orient them compatibly; [A1] and [F9] give a finite oriented move sequence, and [F8] forces the counts to agree, contradicting . Thus the Fox count is an actual distinction, while a finite failed search alone is not one.
Sources
Planar-diagram, Gauss, and signed Dowker–Thistlethwaite codes
Valid codes reconstruct the declared link diagram
Breadth-first Reidemeister search
Reidemeister enumeration is only a semidecision
Quandles and knot-diagram colorings
Compute dihedral Fox colorings by row reduction
The Fox-coloring algorithm terminates and returns all colorings
Dihedral Fox coloring counts are preserved by Reidemeister moves
Depends on
- Oriented Reidemeister moves
- Planar-diagram, Gauss, and signed Dowker–Thistlethwaite codes
- Valid codes reconstruct the declared link diagram
- Breadth-first Reidemeister search
- Reidemeister enumeration is only a semidecision
- Reidemeister's theorem for oriented diagrams
- Quandles and knot-diagram colorings
- Compute dihedral Fox colorings by row reduction
- The Fox-coloring algorithm terminates and returns all colorings
- Dihedral Fox coloring counts are preserved by Reidemeister moves
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
36 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
- Danny Calegari, Introduction to Knot Theory, University of Chicago course notes (2025), §§1.2–1.3 and 4.1 (standard reference, not scraped)
- Justin Roberts, Knots Knotes, Edinburgh course notes (1999), §§2.3 and 3.3 (standard reference, not scraped)