SIAM Journal on Computing
Random Structures & Algorithms
A semidefinite bound for mixing rates of Markov chains
Proceedings of the workshop on Randomized algorithms and computation
Fast convergence of the Glauber dynamics for sampling independent sets
Random Structures & Algorithms - Special issue on statistical physics methods in discrete probability, combinatorics, and theoretical computer science
On Markov chains for independent sets
Journal of Algorithms
Mixing Time for a Markov Chain on Cladograms
Combinatorics, Probability and Computing
A polynomial-time approximation algorithm for the permanent of a matrix with nonnegative entries
Journal of the ACM (JACM)
Hi-index | 0.00 |
A cladogram is an unrooted tree with labeled leaves and unlabeled internal branchpoints of degree 3. Aldous has studied a Markov chain on the set of n-leaf cladograms in which each transition consists of removing a random leaf and its incident edge from the tree and then reattaching the leaf to a random edge of the remaining tree. Using coupling methods, Aldous showed that the relaxation time (i.e., the inverse of the spectral gap) for this chain is O(n3). Here, we use a method based on distinguished paths to prove an O(n2) bound for the relaxation time, establishing a conjecture of Aldous.