We consider aMarkov chain Monte Carlo approach to the uniform sampling of meanders. Combinatorially, a meanderM = [A : B] is formed by two noncrossing perfect matchings, above A and below B the same endpoints, which form a single closed loop. We prove that meanders are connected under appropriate pairs of balanced local moves, one operating on A and the other on B. We also prove that the subset of meanders with a fixed B is connected under a suitable local move operating on an appropriately defined meandric triple in A. We provide diameter bounds under such moves, tight up to a (worst case) factor of two. The mixing times of the Markov chains remain open. © 2011 Discrete Mathematics and Theoretical Computer Science (DMTCS), Nancy, France.
CITATION STYLE
Heitsch, C. E., & Tetali, P. (2011). Meander graphs. In FPSAC’11 - 23rd International Conference on Formal Power Series and Algebraic Combinatorics (pp. 469–480). https://doi.org/10.46298/dmtcs.2926
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