# finding set of tree decompositions to cover all pairs of vertices

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Let $P(X_i=x)$ represent probability that randomly chosen proper $q$-coloring of an $L\times L$ square grid contains color $x$ at position $i$. How do you efficiently compute $P(X_{i}=X_{j})$ for every pair $(i,j)$?

Fastest known method for counting $q$-proper colorings on grids uses tree decomposition. To extend it to this problem, one needs a set of tree decompositions so that every pair of vertices is contained in some bag. Is anything known about this problem?

Motivation: this is essentially two-point correlation function of Potts model, but also correlation function of self-avoiding walks and few other "all-pairs" problems face the same issue

This post imported from StackExchange MathOverflow at 2015-04-19 11:49 (UTC), posted by SE-user Yaroslav Bulatov

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