This paper studies the equivalence of exponential ergodicity and L2-exponential convergence mainly for continuous-time Markov chains. In the reversible case, we show that the known criteria for exponential ergodicity are also criteria for L2-exponential convergence. Until now, no criterion for L2-exponential convergence has appeared in the literature. Some estimates for the rate of convergence of exponentially ergodic Markov chains are presented. These estimates are practical once the stationary distribution is known. Finally, the reversible part of the main result is extended to the Markov processes with general state space.Exponential ergodicity Spectral gap Quadratic form Markov chains
We argue that the spectral theory of non-reversible Markov chains may often be more effectively cast...
In this paper we survey approaches to studying the ergodicity of aperiodic and irre-ducible Markov c...
An exponential smoothing procedure applied to a homogeneous Markovian observation sequence generates...
AbstractThis paper studies the equivalence of exponential ergodicity and L2-exponential convergence ...
For Lp convergence rates of a time homogeneous Markov process, sufficient conditions are given in te...
AbstractFor Lp convergence rates of a time homogeneous Markov process, sufficient conditions are giv...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
We continue the work of improving the rate of convergence of ergodic homogeneous Markov chains. The ...
New improved rates of convergence for ergodic homogeneous Markov chains are studied. Examples of com...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
We give computable bounds on the rate of convergence of the transition probabil-ities to the station...
We argue that the spectral theory of non-reversible Markov chains may often be more effectively cast...
In this paper we survey approaches to studying the ergodicity of aperiodic and irre-ducible Markov c...
An exponential smoothing procedure applied to a homogeneous Markovian observation sequence generates...
AbstractThis paper studies the equivalence of exponential ergodicity and L2-exponential convergence ...
For Lp convergence rates of a time homogeneous Markov process, sufficient conditions are given in te...
AbstractFor Lp convergence rates of a time homogeneous Markov process, sufficient conditions are giv...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
We continue the work of improving the rate of convergence of ergodic homogeneous Markov chains. The ...
New improved rates of convergence for ergodic homogeneous Markov chains are studied. Examples of com...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
AbstractIn this paper, subgeometric ergodicity is investigated for continuous-time Markov chains. Se...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
We give computable bounds on the rate of convergence of the transition probabil-ities to the station...
We argue that the spectral theory of non-reversible Markov chains may often be more effectively cast...
In this paper we survey approaches to studying the ergodicity of aperiodic and irre-ducible Markov c...
An exponential smoothing procedure applied to a homogeneous Markovian observation sequence generates...