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Dual graph

 
(¦dü·əl ′graf)

(mathematics) A planar graph corresponding to a planar map obtained by replacing each country with its capital and each common boundary by an arc joining the two countries.


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G′ is the dual graph of G

In mathematics, a dual graph of a given planar graph G is a graph which has a vertex for each plane region of G, and an edge for each edge in G joining two neighboring regions, for a certain embedding of G. The term "dual" is used because this property is symmetric, meaning that if H is a dual of G, then G is a dual of H (if G is connected). The same notation of duality may also be used for more general embeddings of graphs on manifolds.

Contents

Properties

  • The dual of a plane graph is a plane graph (which may have loops and multiple edges [1]).
  • If G is a connected graph and if G′ is a dual of G then G is a dual of G′.
G′ and G″ are duals for G, but they are not isomorphic.
  • Dual graphs are not unique, in the sense that the same graph can have non-isomorphic dual graphs because the dual graph depends on a particular plane embedding. In the picture, G′ and G″ are not isomorphic because G′ has a vertex with degree 6 (the outer region) but G″ doesn't (see diagram).

Because of the dualism, any result involving counting regions and vertices can be dualized by exchanging them.

Algebraic dual

Let G be a connected graph. An algebraic dual of G is a graph G so that G and G have the same set of edges, any cycle of G is a cut of G, and any cut of G is a cycle of G. Every planar graph has an algebraic dual which is in general not unique (any dual defined by a plane embedding will do). The converse is actually true, as settled by Whitney:

A connected graph G is planar if and only if it has an algebraic dual.

The same fact can be expressed in the theory of matroids: if M is the graphic matroid of a graph G, then the dual matroid of M is a graphic matroid if and only if G is planar. If G is planar, the dual matroid is the graphic matroid of the dual graph of G.

Notes

  1. ^ Here we consider that graphs may have loops and multiple edges to avoid uncommon considerations

References


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