Regular graph
In graph theory, a regular graph is a graph where each vertex has the same number of neighbors; i.e. every vertex has the same degree or valency. A regular directed graph must also satisfy the stronger condition that the indegree and outdegree of each internal vertex are equal to each other.[1] A regular graph with vertices of degree k is called a k‑regular graph or regular graph of degree k. Also, from the handshaking lemma, a regular graph contains an even number of vertices with odd degree.
Regular graphs of degree at most 2 are easy to classify: a 0-regular graph consists of disconnected vertices, a 1-regular graph consists of disconnected edges, and a 2-regular graph consists of a disjoint union of cycles and infinite chains.
A 3-regular graph is known as a cubic graph.
A strongly regular graph is a regular graph where every adjacent pair of vertices has the same number l of neighbors in common, and every non-adjacent pair of vertices has the same number n of neighbors in common. The smallest graphs that are regular but not strongly regular are the cycle graph and the circulant graph on 6 vertices.
The complete graph Km is strongly regular for any m.
A theorem by Nash-Williams says that every k‑regular graph on 2k + 1 vertices has a Hamiltonian cycle.
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0-regular graph
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1-regular graph
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2-regular graph
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3-regular graph
Existence
It is well known that the necessary and sufficient conditions for a regular graph of order to exist are that and that is even.
Proof: As we know a complete graph has every pair of distinct vertices connected to each other by a unique edge. So edges are maximum in complete graph and number of edges are and degree here is . So . This is the minimum for a particular . Also note that if any regular graph has order then number of edges are so has to be even. [SBR8 Theorem] In such case it is easy to construct regular graphs by considering appropriate parameters for circulant graphs.
Algebraic properties
Let A be the adjacency matrix of a graph. Then the graph is regular if and only if is an eigenvector of A.[2] Its eigenvalue will be the constant degree of the graph. Eigenvectors corresponding to other eigenvalues are orthogonal to , so for such eigenvectors , we have .
A regular graph of degree k is connected if and only if the eigenvalue k has multiplicity one. The "only if" direction is a consequence of the Perron–Frobenius theorem.[2]
There is also a criterion for regular and connected graphs : a graph is connected and regular if and only if the matrix of ones J, with , is in the adjacency algebra of the graph (meaning it is a linear combination of powers of A).[3]
Let G be a k-regular graph with diameter D and eigenvalues of adjacency matrix . If G is not bipartite, then
Generation
Fast algorithms exist to enumerate, up to isomorphism, all regular graphs with a given degree and number of vertices.[5]
See also
References
- ^ Chen, Wai-Kai (1997). Graph Theory and its Engineering Applications. World Scientific. pp. 29. ISBN 978-981-02-1859-1.
- ^ a b Cvetković, D. M.; Doob, M.; and Sachs, H. Spectra of Graphs: Theory and Applications, 3rd rev. enl. ed. New York: Wiley, 1998.
- ^ Curtin, Brian (2005), "Algebraic characterizations of graph regularity conditions", Designs, Codes and Cryptography, 34 (2–3): 241–248, doi:10.1007/s10623-004-4857-4, MR 2128333.
- ^ [1][citation needed]
- ^ Meringer, Markus (1999). "Fast generation of regular graphs and construction of cages" (PDF). Journal of Graph Theory. 30 (2): 137–146. doi:10.1002/(SICI)1097-0118(199902)30:2<137::AID-JGT7>3.0.CO;2-G.
External links
- Weisstein, Eric W. "Regular Graph". MathWorld.
- Weisstein, Eric W. "Strongly Regular Graph". MathWorld.
- GenReg software and data by Markus Meringer.
- Nash-Williams, Crispin (1969), Valency Sequences which force graphs to have Hamiltonian Circuits, University of Waterloo Research Report, Waterloo, Ontario: University of Waterloo