Webspectral gap of the weight matrix [17], [18]. More precisely, the mixing time of a Markov chain with transition probability matrix W quantifies the convergence time of a discrete-time consensus algorithm with weight matrix W to the average. Thus, in this paper we only state our results in terms of the terminology of Markov chain theory. III. Web1 Approximate spectral gaps for Markov chains mixing times in high dimensions 2 Yves F. Atchad ey 3 4 Abstract. This paper introduces a concept of approximate spectral gap to …
Computationally Efficient Estimation of the Spectral Gap of a …
WebThis paper introduces a concept of approximate spectral gap to analyze the mixing time of reversible Markov chain Monte Carlo (MCMC) algorithms for which the usual spectral gap is degenerate or almost degenerate. We use the idea to analyze an MCMC algorithm to sample from mixtures of densities. As an application we study the mixing time of a Gibbs sampler … WebWe begin in the next section by reviewing the relevant definitions and properties of Markov chains, and by giving a precise characterization of when a Markov chain mixes rapidly in terms of its spectral properties. In Section 3 we discuss the notion of conductance and its relation to the spectral gap of thechain. christine armand
[1612.05330] Estimating the Spectral Gap of a Reversible …
WebDec 16, 2016 · The spectral gap of an ergodic and reversible Markov chain is an important parameter measuring the asymptotic rate of convergence. In applications, the transition … WebWe now show how to bound 1 2 by comparing the Dirichlet forms of two Markov chains, one M0with known spectral gap and the other Mwith unknown gap. Let Mand M0be Markov chains on the same state space . For every edge e= (x;y) 2E0(the edge set of M0, i.e. pairs (x,y) with P0(x;y) >0) associate a path in E(the edge set of M) from xto y. Preferably gerd breathing