Barnette’s Hamiltonian conjecture

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Subjects: Graph theory

Collections: Graphs and coloring

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The problem

Can every network in Barnette’s class be toured along its existing connections, visiting each dot once before returning to the start? A cube’s corners and edges give an example: go around three edges of one square face, cross to the opposite face, follow three edges there, and cross back. The class requires three connections at each dot, a drawing without crossings, two groups with every connection running between groups, and continued connectedness after deleting any one or two dots. The cube has all four properties. It is unknown whether every network satisfying them has such a tour.[1] [2]

Two choices on the cube graph The same eight vertices and twelve cube edges appear twice in a planar nested-square drawing. Solid blue edges are used and dashed gray edges are unused. Each choice uses two edges at every dot and leaves one unused. The first makes one cycle through all eight dots; the second makes two separate four-dot cycles. The second choice is not a counterexample: the first shows that this cube has a tour. This finite example does not prove the conjecture for all eligible graphs. One tour 100 101 110 111 000 001 011 010 Two loops 100 101 110 111 000 001 011 010 Solid: used · Dashed: unused Both use two edges at each dot. Only the first makes a single tour. Two choices on the cube graph The same eight vertices and twelve cube edges appear twice in a planar nested-square drawing. Solid blue edges are used and dashed gray edges are unused. Each choice uses two edges at every dot and leaves one unused. The first makes one cycle through all eight dots; the second makes two separate four-dot cycles. The second choice is not a counterexample: the first shows that this cube has a tour. This finite example does not prove the conjecture for all eligible graphs. One tour 100 101 110 111 000 001 011 010 Two loops 100 101 110 111 000 001 011 010 Solid: used · Dashed: unused Both use two edges at each dot. Only the first makes a single tour.
Scope

Finite 3-regular, 3-connected, bipartite planar graphs; the required Hamiltonian cycle uses edges of the original graph.

What remains open

The full class remains unresolved. Approximate results allow some steps that are not edges of the original graph. A preprint claims the exact tour when every face has at most eight edges; unrestricted face sizes remain outside that result.[1] [2]

Why it matters

At each dot a tour uses two of the three connections, leaving one unused. Those unused connections pair up all the dots. Conversely, choosing one such pairing can leave several separate loops instead of a single tour. This connects local pairing choices with global connectedness: the problem asks how the graph’s structure lets those loops become one.[1] [2]

Definitions

4 terms
Hamiltonian cycle

A cycle that visits every vertex exactly once before returning to its starting vertex. Here it must use edges already present in the original graph.[1] [2]

bipartiteness

The property that vertices can be divided into two parts with every edge joining the two parts. No edge joins vertices within either part.[1] [2]

3-connectedness

For a graph with at least four vertices, connectedness after removing any set of fewer than three vertices and their incident edges.[1] [2]

perfect matching

A selection of edges in which each vertex belongs to exactly one selected edge. In a 3-regular graph, removing these edges leaves degree two at every vertex, hence disjoint cycles; one cycle is an additional requirement.[1] [2]

Sources

  1. Approximating Barnette’s Conjecture Michael A. Bekos, Michael Kaufmann and Maximilian Pfister · 2025-11-26
    Notes on Approximating Barnette’s Conjecture

    Conference paper states the full conjecture and an approximate spanning-cycle result.

  2. Barnette Graphs with Faces up to Size 8 are Hamiltonian Tobias Schnieders · 2025-08-05
    Notes on Barnette Graphs with Faces up to Size 8 are Hamiltonian

    Preprint claims a bounded-face case; this restriction is retained.

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