The relaxation time TREL of a finite ergodic Markov chain in continuous time, i.e., the time to reach ergodicity from some initial state distribution, is loosely given in the literature in terms of the eigenvalues Aj of the in-finitesimal generator Q. One uses TREL--0-1 where 0- min,xj0 {ReAj[- Q _]}. This paper establishes for the relaxation time 0 1 the theo-retical soffdity of the time reversible case. It does so by examining the structure of the quadratic distance d(t) to ergodicity. It is shown that, for any function f(j) defined for states j, the correlation function p](v) has the bound]pl(r)] < exp[-0]7 I] and that this inequality is tight. The argument is almost entirely in the real domain
The quantitative long time behavior of absorbing, finite, irreducible Markov processes is considered...
The quantitative long time behavior of absorbing, finite, irreducible Markov processes is considered...
We study a continuous-time random walk, X, on Zd in an environment of dynamic random conductances ta...
The following paper, first written in 1974, was never published other than as part of an internal re...
The finiteness of the mean visit time to state j is used in the characterization of uniform strong e...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
Abstract. For Markov chains in continuous time Keilson(1979) has shown that the relationship between...
We define the spectral gap of a Markov chain on a finite state space as the second-smallest singular...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
This article provides the first procedure for computing a fully data-dependent interval that traps t...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
Consider a Markov process Φ = { Φ (t): t ≥ 0} evolving on a Polish space X. A version of the f -Norm...
The quantitative long time behavior of absorbing, finite, irreducible Markov processes is considered...
The quantitative long time behavior of absorbing, finite, irreducible Markov processes is considered...
We study a continuous-time random walk, X, on Zd in an environment of dynamic random conductances ta...
The following paper, first written in 1974, was never published other than as part of an internal re...
The finiteness of the mean visit time to state j is used in the characterization of uniform strong e...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
Abstract. For Markov chains in continuous time Keilson(1979) has shown that the relationship between...
We define the spectral gap of a Markov chain on a finite state space as the second-smallest singular...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
This article provides the first procedure for computing a fully data-dependent interval that traps t...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
Consider a Markov process Φ = { Φ (t): t ≥ 0} evolving on a Polish space X. A version of the f -Norm...
The quantitative long time behavior of absorbing, finite, irreducible Markov processes is considered...
The quantitative long time behavior of absorbing, finite, irreducible Markov processes is considered...
We study a continuous-time random walk, X, on Zd in an environment of dynamic random conductances ta...