Cereceda's conjecture

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Unsolved problem in mathematics
Can every two -colorings of a -degenerate graph be transformed into each other by quadratically many steps that change the color of one vertex at a time?
The 3-colorings of a path graph, which has degeneracy one. The diameter of this space of colorings is four: it takes four steps to get from either of the top two colorings to the bottom one.

In the mathematics of graph coloring, Cereceda’s conjecture is an unsolved problem on the distance between pairs of colorings of sparse graphs. It states that, for two different colorings of a graph of degeneracy d, both using at most d + 2 colors, it should be possible to reconfigure one coloring into the other by changing the color of one vertex at a time, using a number of steps that is quadratic in the size of the graph. The conjecture is named after Luis Cereceda, who formulated it in his 2007 doctoral dissertation.

The degeneracy of an undirected graph G is the smallest number d such that every non-empty subgraph of G has at least one vertex of degree at most d. If one repeatedly removes a minimum-degree vertex from G until no vertices are left, then the largest of the degrees of the vertices at the time of their removal will be exactly d, and this method of repeated removal can be used to compute the degeneracy of any graph in linear time. Greedy coloring the vertices in the reverse of this removal ordering will automatically produce a coloring with at most d + 1 colors, and for some graphs (such as complete graphs and odd-length cycle graphs) this number of colors is optimal.[1]

For colorings with d + 1 colors, it may not be possible to move from one coloring to another by changing the color of one vertex at a time. In particular, it is never possible to move between 2-colorings of a forest (the graphs of degeneracy 1) or between (d + 1)-colorings of a complete graph in this way; their colorings are said to be frozen.[2] Cycle graphs of length other than four also have disconnected families of (d + 1)-colorings.[3] However, with one additional color, using colorings with d + 2 colors, all pairs of colorings can be connected to each other by sequences of moves of this type. It follows from this that an appropriately designed random walk on the space of (d + 2)-colorings, using moves of this type, is mixing. This means that the random walk will eventually converge to the discrete uniform distribution on these colorings as its steady state, in which all colorings have equal probability of being chosen. More precisely, the random walk proceeds by repeatedly choosing a uniformly random vertex and choosing uniformly at random among all the available colors for that vertex, including the color it already had; this process is called the Glauber dynamics.[4]

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