Approximate counting, uniform generation and rapidly mixing Markov chains
Information and Computation
Balls and bins: a study in negative dependence
Random Structures & Algorithms
A second threshold for the hard-core model on a Bethe lattice
Random Structures & Algorithms - Isaac Newton Institute Programme “Computation, Combinatorics and Probability”: Part I
Mixing in time and space for lattice spin systems: A combinatorial view
Random Structures & Algorithms - Isaac Newton Institute Programme “Computation, Combinatorics and Probability”: Part II
Counting independent sets up to the tree threshold
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Optimal phylogenetic reconstruction
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Randomly coloring planar graphs with fewer colors than the maximum degree
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Fast mixing for independent sets, colorings, and other models on trees
Random Structures & Algorithms
Reconstruction for Models on Random Graphs
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
Algorithmic Barriers from Phase Transitions
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
Phase transition for the mixing time of the Glauber dynamics for coloring regular trees
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
A very simple algorithm for estimating the number of k‐colorings of a low‐degree graph
Random Structures & Algorithms
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We study the effect of boundary conditions on the relaxation time of the Glauber dynamics for the hardcore lattice gas model on the n-vertex regular b-ary tree of height h. The hard-core model is defined on independent sets weighted by an activity (or fugacity) λ on trees. Reconstruction studies the effect of a 'typical' boundary condition, i.e., fixed assignment to the leaves, on the root. The threshold for when reconstruction occurs (and a typical boundary influences the root in the limit h → ∞) has been of considerable recent interest since it appears to be connected to the efficiency of certain local algorithms on locally tree-like graphs. The reconstruction threshold occurs at ω ≈ ln b/b where λ = ω(1 + ω)b is a convenient re-parameterization of the model. We prove that for all boundary conditions, the relaxation time τ in the non-reconstruction region is fast, namely τ = O (n1+ob(1)) for any ω ≤ ln b/b. In the reconstruction region, for all boundary conditions, we prove τ = O (n1+δ+ob(1)) for ω = (1 + ω) ln b/b, for every δ 0. In contrast, we construct a boundary condition, for which the Glauber dynamics slows down in the reconstruction region, namely τ = Ω (n1+δ-ob(1)) for ω = (1 + δ) ln b/b, for every δ 0. The interesting part of our proof is this lower bound result, which uses a general technique that transforms an algorithm to prove reconstruction into a set in the state space of the Glauber dynamics with poor conductance.