The worst-case distance to stationarity is
The Path coupling theorem says that if a coupling contracts an integer-valued path metric by a factor for every adjacent pair, then
Couple two configurations differing at one vertex by choosing the same update vertex and the same uniform random number for the heat-bath update. Updating removes the disagreement. Updating a nonneighbor of cannot create one. At a neighbor , the two conditional plus-spin probabilities differ by at most , using the supplied identity. Since has at most neighbors, the expected Hamming distance after one step is at most
The Hamming diameter is , so the Path coupling theorem gives
Writing and gives
Make two states adjacent when one can pair every disagreement except at most one, equivalently when , and give every such edge length one. Pairing a deletion with an insertion as a swap and then handling the excess disagreements constructs a path of length ; every edge changes by at most one, so this is the corresponding path metric.
For adjacent states, couple the lazy coin and coordinate choices so that a distinguished disagreement is removed whenever its coordinate is selected, matching a compensating coordinate in the swap case. A direct check of the nested and equal-cardinality cases gives
The Path coupling theorem extends this to all pairs. Since , part (a), with up to an absolute constant, gives
Give the state graph the unit-edge path metric. The construction in part (i) shows that its diameter is at most . It remains to couple one step from neighbouring states and .
Pair the choice in the first chain with in the second, and pair every with itself; use the same proposed vertex in both chains. When the pair is removed, the chains coalesce whenever is not in the closed neighbourhood of . This has probability at least
When a common is removed, the distance can increase from one to at most two only if lies in one of the closed neighbourhoods of and , an event of probability at most
Therefore
where the last inequality uses . The Path coupling theorem extends this contraction to arbitrary starting distributions. Since , part (a) with diameter at most yields