Consider an ergodic Markov operator M reversible with respect to a probability measure µ on a general measurable space. It is shown that if M is bounded from L2pµq to Lppµq, where p ą 2, then it admits a spectral gap. This result answers positively a conjecture raised by Høegh-Krohn and Simon [33] in a semi-group context. The proof is based on isoperimetric considerations and especially on Cheeger inequalities of higher order for weighted finite graphs recently obtained by Lee, Gharan and Trevisan [25]. It provides a quantitative link between hyperboundedness and an eigenvalue different from the spectral gap in general. In addition, the usual Cheeger and Buser inequalities are extended to higher eigenvalues in the compact Riemannian setting
AbstractWe introduce a set of multi-way dual Cheeger constants and prove universal higher-order dual...
AbstractLet E be a Polish space equipped with a probability measure μ on its Borel σ-field B, and π ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
An argument is missing in the previous version about Buser's inequality. This part has been removed....
AbstractWe introduce a certain kind of strong ergodicity condition to study the existence of spectra...
We argue that the spectral theory of non-reversible Markov chains may often be more effectively cast...
International audienceApplying quantitative perturbation theory for linear operators, we prove nonas...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
International audienceIt is shown that if a Markov map T on a noncommutative probability space M has...
Abstract. In this paper, we develop bounds on the distribution function of the empirical mean for ge...
In this paper, we develop bounds on the distribution function of the empirical mean for general ergo...
AbstractLet L be a reversible Markovian generator on a finite set V. Relations between the spectral ...
19 pagesInternational audience\.{Z}uk proved that if a finitely generated group admits a Cayley grap...
In this paper, we deal with a Markov chain on a measurable state space $(\mathbb{X},\mathcal{X})$ wh...
Abstract. In this paper, we develop bounds on the distribution function of the empirical mean for ge...
AbstractWe introduce a set of multi-way dual Cheeger constants and prove universal higher-order dual...
AbstractLet E be a Polish space equipped with a probability measure μ on its Borel σ-field B, and π ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
An argument is missing in the previous version about Buser's inequality. This part has been removed....
AbstractWe introduce a certain kind of strong ergodicity condition to study the existence of spectra...
We argue that the spectral theory of non-reversible Markov chains may often be more effectively cast...
International audienceApplying quantitative perturbation theory for linear operators, we prove nonas...
C. Mattingly The aim of this note is to present an elementary proof of a variation of Harris’ ergodi...
International audienceIt is shown that if a Markov map T on a noncommutative probability space M has...
Abstract. In this paper, we develop bounds on the distribution function of the empirical mean for ge...
In this paper, we develop bounds on the distribution function of the empirical mean for general ergo...
AbstractLet L be a reversible Markovian generator on a finite set V. Relations between the spectral ...
19 pagesInternational audience\.{Z}uk proved that if a finitely generated group admits a Cayley grap...
In this paper, we deal with a Markov chain on a measurable state space $(\mathbb{X},\mathcal{X})$ wh...
Abstract. In this paper, we develop bounds on the distribution function of the empirical mean for ge...
AbstractWe introduce a set of multi-way dual Cheeger constants and prove universal higher-order dual...
AbstractLet E be a Polish space equipped with a probability measure μ on its Borel σ-field B, and π ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...