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Graphs · step 10 of 14

Planarity & Euler’s formula

For any connected planar graph drawn without crossings, V − E + F = 2, where F counts faces including the unbounded one. The formula yields hard edge bounds: E ≤ 3V − 6 for simple planar graphs with V ≥ 3, and E ≤ 2V − 4 when the graph is also triangle-free. Violating a bound proves non-planarity in two lines.

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Method: how to approach it

The order below is what examiners expect to see, and each step carries its own marks.

  1. Count V, E and F on a drawingDo not forget the outer face — it is one of the F.
  2. Derive the edge boundEach face is bounded by at least 3 edges and each edge borders at most 2 faces, so 2E ≥ 3F. Substituting into Euler gives E ≤ 3V − 6.
  3. Use the triangle-free boundIf there is no triangle, every face has at least 4 edges, giving 2E ≥ 4F and E ≤ 2V − 4.
  4. Fall back on KuratowskiIf the counting bounds pass, look for a K₅ or K_{3,3} subdivision — that characterises non-planarity exactly.

Worked example

Prove K₅ and K_{3,3} are not planar.

  1. K₅: V = 5 and E = C(5,2) = 10. The bound gives 3V − 6 = 9.
  2. 10 > 9, so K₅ is not planar.
  3. K_{3,3}: V = 6, E = 9. The general bound 3V − 6 = 12 is satisfied, so it does not settle it.
  4. But K_{3,3} is bipartite hence triangle-free, so E ≤ 2V − 4 = 8. Since 9 > 8, it is not planar.

Answer. Neither is planar — K₅ fails E ≤ 3V − 6, and K_{3,3} fails the triangle-free bound E ≤ 2V − 4.

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Planarity & Euler’s formula — frequently asked questions

What is Kuratowski’s theorem?

A graph is planar if and only if it contains no subdivision of K₅ or K_{3,3}. Wagner’s version states the same with minors instead of subdivisions.

How does Euler’s formula change for disconnected graphs?

V − E + F = 1 + c where c is the number of components. The connected case c = 1 gives the familiar 2.

What is the four colour theorem?

Every planar graph is 4-colourable. It follows from planarity’s sparsity but the full proof requires computer-assisted case checking.

The rest of Graphs

Terminology, connectivity, trees, paths and cycles. Each subtopic below has its own method, worked example and mark-losing traps.

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