Chvátal’s toughness conjecture

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Subjects: Graph theory

Collections: Graphs and coloring

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The problem

Remove some junctions from a network and count the separated pieces left behind. A tough network needs many removals to create many pieces. Chvátal asks whether enough toughness always guarantees a round trip visiting every junction once.[1] [2]

Scope

Existence of an absolute toughness threshold guaranteeing Hamiltonian cycles in all finite simple graphs on at least three vertices.

What remains open

“Enough” must mean a single fixed threshold, usable for networks of every size. Recent results find cycles covering almost all vertices when the required toughness grows with size. That leaves both the fixed-threshold and complete-coverage requirements.[1] [2]

Why it matters

Removing one or more junctions from a round trip cannot leave more separated pieces than junctions removed. That gives a way to rule out a spanning trip by inspecting how a network breaks apart, without trying every route. Toughness asks whether a stronger version of this necessary fragmentation test can become a general guarantee. It connects resistance to splitting with the existence of one complete traversal.[1] [2]

Research directions

1 direction to explore

Definitions

2 terms
toughness

The smallest ratio of removed vertices to remaining components, considering every deletion that leaves at least two components. A large value rules out cuts that create many pieces cheaply. Complete graphs are assigned infinite toughness.[1] [2]

induced

An induced subgraph on selected vertices retains every edge of the original graph between those vertices. Excluding a specified induced pattern restricts the graph family; a theorem with that exclusion need not hold for all graphs.[2]

Sources

Partial results
Micha Christoph, Zach Hunter and Benny Sudakov

Almost spanning cycles from growing toughness. Scope: t=ω(log³n), arbitrary finite simple graphs.

Neither an absolute threshold nor all-vertex coverage.

Source date: 2026-09-24Theorem 1.7 gives (1−o(1))n cycle vertices.Read the source ↗
Songling Shan and Arthur Tanyel

A fixed threshold works for a new forbidden-induced-subgraph class. Scope: 11-tough (2 P₂∪P₁)-free graphs on at least three vertices.

The induced-subgraph restriction is essential to the stated result.

Source date: 2025-06-15Theorem 2 gives a Hamiltonian cycle.Read the source ↗
  1. Thinning and sprinkling: from robust sampling to almost Hamiltonicity Micha Christoph, Zach Hunter and Benny Sudakov · 2026-09-24
    Notes on Thinning and sprinkling: from robust sampling to almost Hamiltonicity

    Theorem1.7 requires t/log³n→∞. Theorem1.8 requires d/(log³n loglogn)→∞; neither theorem gives a spanning cycle at constant toughness or all degrees.

  2. Hamilton cycles in tough (2P₂ ∪ P₁)-free graphs Songling Shan and Arthur Tanyel · 2025-06-15
    Notes on Hamilton cycles in tough (2P₂ ∪ P₁)-free graphs

    Supports constant-toughness formulation and a restricted forbidden-induced-subgraph theorem; excludes generality beyond that graph class.

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