2006
DOI: 10.1215/s0012-7094-06-13415-4
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Markov chains in smooth Banach spaces and Gromov-hyperbolic metric spaces

Abstract: A metric space X has Markov-type 2 if for any reversible finite-state Markov chain {Z t } (with Z 0 chosen according to the stationary distribution) and any map f from the state space to X, the distance, who showed its importance for the Lipschitz extension problem. Until now, however, only Hilbert space (and metric spaces that embed bi-Lipschitzly into it) was known to have Markov-type 2. We show that every Banach space with modulus of smoothness of power-type 2 (in particular, L p for p > 2) has Markov-type … Show more

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Cited by 92 publications
(144 citation statements)
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“…Theorem 1.1 isolates a geometric property (uniform smoothness) of the target space X which lies at the heart of the phenomenon discovered by Guentner and Kaminker. Our proof is a modification of the martingale method developed by Naor, Peres, Schramm and Sheffield in [28] for estimating the speed of stationary reversible Markov chains in uniformly smooth Banach spaces. This method requires several adaptations in the present setting since the random walk {W t } ∞ t=0 is not stationary-we refer to Section 2 for the details.…”
Section: Theorem 11 Let X Be a Banach Space Which Has Modulus Of Smmentioning
confidence: 99%
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“…Theorem 1.1 isolates a geometric property (uniform smoothness) of the target space X which lies at the heart of the phenomenon discovered by Guentner and Kaminker. Our proof is a modification of the martingale method developed by Naor, Peres, Schramm and Sheffield in [28] for estimating the speed of stationary reversible Markov chains in uniformly smooth Banach spaces. This method requires several adaptations in the present setting since the random walk {W t } ∞ t=0 is not stationary-we refer to Section 2 for the details.…”
Section: Theorem 11 Let X Be a Banach Space Which Has Modulus Of Smmentioning
confidence: 99%
“…Its proof is a modification of the method that was used in [28] to study the Markov type of uniformly smooth Banach spaces.…”
Section: Equivariant Compression and Random Walksmentioning
confidence: 99%
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“…In the forthcoming formulations, a subset of M is said to be − dense if its distance 2 from each point of M is less than , and − separated if the distance between every two distinct points of the set is more than or equal to . Proposition 2.1 (see [NPSS,Corollary 6.2…”
Section: Proofs Of Theorem 15 and Corollary 19mentioning
confidence: 96%