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Given a proper -colouring
of a graph
, consider the following 'mixing process:'
- \item choose a vertex
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A natural problem arises: Can every -colouring of
be generated from
by repeatedly applying this process? If so, we say that
is
-mixing.
The problem of determining if a graph is -mixing and several related problems have been studied in a series of recent papers [1,2,4-6]. The authors of [4] provide examples which show that a graph can be
-mixing but not
-mixing for integers
. For example, given
consider the bipartite graph
which is obtained by deleting a perfect matching from
. It is an easy exercise to show that for
is
-mixing if and only if
and
. This example motivates the following definition.
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An analogous definition can be made for circular colouring. Recall, a -colouring of a graph is a mapping
such that if
, then
. As with ordinary colourings, we say that a graph
is
-mixing if all
-colourings of
can be generated from a single
-colouring
by recolouring one vertex at a time.
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Several bounds on the circular mixing threshold are obtained in [3], including the following which relates the circular mixing threshold to the mixing threshold.
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As a corollary, we have the following: if , then
. However, examples in [3] show that the ratio
can be arbitrarily large in general.
Regarding the problem of determining if is rational, it is worth mentioning that there are no known examples of graphs
for which
is not an integer.
Other problems are also given in [3]. One can check that and
. However, the only graphs which are known to satisfy
are in some sense related to
, eg. trees and complete bipartite graphs.
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Using an example from [4], it is shown in [3] that if is an integer, then there is a graph
such that
if and only if
. A natural question to ask is whether a similar result holds for the circular chromatic number. Again, certain bipartite graphs are an exception.
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Also, the example of shows that the circular mixing threshold is, in general, not attained. However, the following problem is open.
For more precise versions of the last three questions, see [3].
Bibliography
[1] P. Bonsma and L. Cereceda. Finding paths between graph colourings: PSPACE-completeness and superpolynomial distances. Theoret. Comput. Sci. 410 (2009), (50): 5215--5226.
[2] P. Bonsma, L. Cereceda, J. van den Heuvel, and M. Johnson. Finding paths between graph colourings: Computational complexity and possible distances. Electronic Notes in Discrete Mathematics 29 (2007): 463--469.
*[3] R. C. Brewster and J. A. Noel. Mixing Homomorphisms and Extending Circular Colourings. Submitted. pdf.
[4] L. Cereceda, J. van den Heuvel, and M. Johnson. Connectedness of the graph of vertex-colourings. Discrete Math. 308 (2008), (5-6): 913--919.
[5] L. Cereceda, J. van den Heuvel, and M. Johnson. Mixing 3-colourings in bipartite graphs. European J. Combin. 30 (2009), (7): 1593--1606.
[6] L. Cereceda, J. van den Heuvel, and M. Johnson. Finding paths between 3-colorings. Journal of Graph Theory, 67 (2011), (1): 69--82.
[7] J. A. Noel. "Jonathan Noel - Mixing Circular Colourings." Webpage.
* indicates original appearance(s) of problem.