Given a graph $G$, we can view each proper vertex-coloring of $G$, i.e., two adjacent vertices of $G$ receive different colors, as a state. And two states are adjacent if the two colorings only differ at one vertex.
If it is allowed to use at most $2\Delta+1$ colors for the proper coloring, where $\Delta$ is the maximum degree of $G$. I am wondering how to prove the state space is connected? I.e., given any two proper coloings of $G$, each time we are allowed to modify the color of one vertex to get a proper coloring, so that we can go from one proper coloring to the other?
If $2\Delta+1$ is not enough, what's about $3\Delta+1$?
$\Delta+2$ colors is always enough, as originally proved by Mark Jerrum here. The idea is that one can move from any one coloring $f$ to another $g$ by considering vertices one by one in any order: when considering vertex $v$, we want to change its color from $f(v)$ (or whatever it currently has) to $g(v)$. Its earlier neighbors are already colored by $g$ so that's ok, while each later neighbor $x$ of $v$ can be recolored to some color that is neither $f(v)$ nor $g(v)$ nor whatever other neighbors of $x$ currently have (this exludes at most $1+1+\Delta-1$ colors).
$\Delta+1$ is not enough as $n$-colorings of a complete graph on $n$ vertices show ($\Delta=n-1$).
See also Cereceda's thesis, Proposition 2.6 and Theorem 2.7, which shows that actually it suffices to used $\mathrm{deg}(G)+2$ colors, where $\mathrm{deg}(G)$ is the degeneracy of $G$.
In case you're wondering: $\chi(G)+2$, or in fact any function of $\chi(G)$, won't work. As a counterexample consider the complete bipartite graph $K_{n,n}$ with colors $1,\dots,n$ on each side – then $\chi=2$, but no color can change if you allow only $\leq n$ colors). Cereceda's thesis has a lot more examples, like planar graphs.
Jerrum's paper shows that with $\geq 2\Delta+1$ colors doing recoloring randomly will reach all colorings fairly quickly, giving an efficient algorithm to estimate the number of colorings, for example.