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Eulerian and Hamiltonian Graphs: Examples and Counterexamples
1 · Prerequisites
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The Konigsberg bridges multigraph has four odd-degree vertices and no Euler trail
Example
Model the four land regions in the Konigsberg bridges problem by four vertices, with one multigraph edge for each of the seven bridges. The four vertex degrees are . Consequently no walk can cross every bridge exactly once.
Facts & Assumptions
Given: The connected four-vertex, seven-edge Konigsberg multigraph with degrees .
Parallel bridges are distinct multigraph edges, and degree counts their incident ends (Degree in a multigraph, indegree and outdegree in a digraph, and their underlying connectivity).
A connected finite multigraph has an Euler trail exactly when it has zero or two odd-degree vertices (A connected finite undirected multigraph has an Euler trail if and only if it has zero or two odd-degree vertices; an open Euler trail occurs exactly in the two-vertex case).
Verification
Counting the bridge ends incident with the four land regions gives degrees , so all four vertices have odd degree.
Since four is neither zero nor two, [L1] rules out an Euler trail. Such a trail would be exactly a crossing of every bridge once.
Two triangles sharing one vertex form an Eulerian graph with no Hamilton cycle
Statement refuted
Every finite simple graph with an Euler circuit has a Hamilton cycle.
Counterexample
Let have vertices and edges
Thus consists of two triangles sharing only . It is Eulerian but not Hamiltonian.
Facts & Assumptions
Given: The explicitly displayed finite simple graph .
A connected finite multigraph has an Euler circuit exactly when every degree is even (Euler's theorem and Hierholzer's construction: a connected finite undirected multigraph has an Euler circuit if and only if every degree is even).
If a graph has a Hamilton cycle, deleting a nonempty proper set leaves at most components (If has a Hamilton cycle, then deleting any nonempty proper vertex set leaves at most connected components).
A triangle is the cycle graph (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
A finite simple graph can be regarded as the multigraph with the same vertex and edge sets and with each edge assigned its two endpoints (Multigraphs, loops and directed graphs as variants distinct from the default finite simple graph).
Verification
Regard as the corresponding multigraph from [F2]. It is connected, , and each of has degree two. Hence every degree is even, and [L1] gives an Euler circuit; explicitly, uses every edge once.
Deleting leaves the two disjoint edges and , hence two connected components. Since , [L2] shows that cannot have a Hamilton cycle.
Thus is Eulerian and non-Hamiltonian, refuting the proposed implication.
is Hamiltonian but has no Euler circuit
Statement refuted
Every Hamiltonian finite simple graph has an Euler circuit.
Counterexample
The complete graph has a Hamilton cycle but no Euler circuit.
Facts & Assumptions
Given: The complete graph on vertices .
A complete graph contains every edge between distinct vertices (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
A Hamilton cycle visits every vertex exactly once before returning to its start (Hamilton paths, Hamilton cycles, Hamiltonian graphs and Hamilton-connected graphs).
Degree is the number of neighbours (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
A finite simple graph can be regarded as the multigraph with the same vertex and edge sets and the evident endpoint map (Multigraphs, loops and directed graphs as variants distinct from the default finite simple graph).
A connected finite multigraph has an Euler circuit exactly when every degree is even (Euler's theorem and Hierholzer's construction: a connected finite undirected multigraph has an Euler circuit if and only if every degree is even).
Verification
By completeness, is a cycle through all four vertices, so is Hamiltonian.
Every vertex is adjacent to the other three, so every degree is three. Regard as the corresponding multigraph from [F4]. It is connected, but its degrees are odd; [L1] therefore rules out an Euler circuit.
Hence Hamiltonicity does not imply existence of an Euler circuit.
has a Hamilton path but no Hamilton cycle
Statement refuted
Every finite simple graph with a Hamilton path has a Hamilton cycle.
Counterexample
The path graph has vertices and edges .
Facts & Assumptions
Given: The path graph .
The graph has the displayed vertices and consecutive edges (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
A Hamilton path contains every vertex exactly once (Hamilton paths, Hamilton cycles, Hamiltonian graphs and Hamilton-connected graphs).
A Hamiltonian graph satisfies the vertex-deletion component bound (If has a Hamilton cycle, then deleting any nonempty proper vertex set leaves at most connected components).
Verification
The path uses both edges and contains every vertex exactly once, so it is a Hamilton path.
Deleting the middle vertex leaves two isolated vertices, hence two components. This violates [L1] for the singleton set , so has no Hamilton cycle.
Therefore a Hamilton path need not extend to a Hamilton cycle.
Two disjoint copies of show that Dirac's bound cannot be lowered to for even
Statement refuted
For even , every -vertex graph with is Hamiltonian.
Counterexample
For , let be the disjoint union of two copies of . Then and , but is not Hamiltonian.
Facts & Assumptions
Given: An integer and two vertex-disjoint copies of with no edge between them.
Every vertex of is adjacent to the other vertices (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices, Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
A Hamiltonian graph has a spanning cycle and is connected (Hamilton paths, Hamilton cycles, Hamiltonian graphs and Hamilton-connected graphs, Connected graphs and connected components defined by the existence of vertex paths).
Dirac's theorem uses the stronger threshold (Dirac's theorem: every -vertex graph with and is Hamiltonian).
Verification
The graph has vertices. Every vertex has precisely the other vertices in its own copy as neighbours, so .
The two copies are distinct connected components because no edge joins them. Hence is disconnected and cannot be Hamiltonian by [F2].
At the endpoint , the construction is two disjoint edges on four vertices, with minimum degree , so the same failure occurs.
Thus lowering the threshold in [L1] by one for even order would make the theorem false.
has a Hamilton cycle
Example
Let the two parts of be and . Then
is a Hamilton cycle.
Facts & Assumptions
Given: The displayed bipartition of .
Every vertex in is adjacent to every vertex in , and there are no edges within a part (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
A Hamilton cycle visits every vertex exactly once before returning to its initial vertex (Hamilton paths, Hamilton cycles, Hamiltonian graphs and Hamilton-connected graphs).
Verification
Each consecutive pair in the displayed cyclic list has one endpoint in and one in , so all six required edges occur by [F1].
Before returning to , the list contains each of the six vertices exactly once. It is therefore a Hamilton cycle by [F2].
with one new vertex adjacent to two clique vertices satisfies Ore's condition but not Dirac's condition
Example
Start with the clique on and add a vertex adjacent exactly to and . The resulting five-vertex graph satisfies Ore's condition but not Dirac's minimum-degree condition, and it has the Hamilton cycle .
Facts & Assumptions
Given: The explicitly described five-vertex graph .
A complete graph contains every edge between its distinct vertices (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Degree counts neighbours, and minimum degree is the least vertex degree (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
Ore's condition implies Hamiltonicity for graphs of order at least three (Ore's theorem: an -vertex graph with and for every nonadjacent pair is Hamiltonian).
Dirac's sufficient condition is (Dirac's theorem: every -vertex graph with and is Hamiltonian).
Verification
The degree multiset is : has degree two, have degree four, and have degree three. Thus , so Dirac's hypothesis [L2] fails.
Directly, every consecutive pair in is an edge, and the list visits all five vertices once before returning.
The only nonedges are and . Each has endpoint-degree sum , so Ore's condition holds; [L1] therefore confirms Hamiltonicity.
Hence Ore's condition can hold when Dirac's condition does not, and the displayed Hamilton cycle verifies the conclusion.
A transitive tournament has a directed Hamilton path and no directed cycle
Example
On with , orient the edge between and as exactly when . This transitive tournament has the directed Hamilton path and has no directed cycle.
Facts & Assumptions
Given: The displayed orientation of the complete graph on .
A tournament chooses exactly one arc direction between each distinct pair (A tournament is an orientation of a complete finite graph).
Directed paths and cycles must follow all displayed arc directions (Directed walks, trails, paths and cycles, and strong connectivity).
Every nonempty tournament has a directed Hamilton path (Redei's theorem: every nonempty tournament has a directed Hamilton path).
Verification
For each distinct pair , exactly one of and holds, so the construction is a tournament by [F1]. Each arc in the list points forward, and the list contains every vertex once, so it is a directed Hamilton path, explicitly realizing [L1].
Along every directed walk in this tournament, the vertex label strictly increases at each positive-length step. Such a walk cannot return to its initial label, so no directed cycle exists.
Thus a tournament may have a directed Hamilton path while having no directed cycle.
The directed -cycle is a strongly connected tournament with a directed Hamilton cycle
Example
Let have vertices and arcs
Then is a strongly connected tournament, and is a directed Hamilton cycle.
Facts & Assumptions
Given: The three explicitly displayed arcs.
A tournament has exactly one directed arc between each pair of distinct vertices (A tournament is an orientation of a complete finite graph).
Strong connectivity requires a directed path for each ordered vertex pair, and a directed Hamilton cycle visits every vertex once before returning (Directed walks, trails, paths and cycles, and strong connectivity).
Camion's theorem gives a directed Hamilton cycle in every strong tournament of order at least three (Camion's theorem: every strongly connected tournament on at least three vertices has a directed Hamilton cycle).
Verification
The three arcs orient the three unordered vertex pairs exactly once, so is a tournament. The ordered pairs are joined directly, while are joined by the two-arc paths through the remaining vertex. Hence is strongly connected.
The closed list follows the three arcs and visits every vertex once before returning, so it is a directed Hamilton cycle, as [L1] predicts.
This verifies all three assertions in the example.
Sources
Standard references
Recommended treatments; not extraction sources.