2012
DOI: 10.1090/s0002-9947-2012-05778-3
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Quasi-invariance for heat kernel measures on sub-Riemannian infinite-dimensional Heisenberg groups

Abstract: Abstract. We study heat kernel measures on sub-Riemannian infinitedimensional Heisenberg-like Lie groups. In particular, we show that Cameron-Martin type quasi-invariance results hold in this subelliptic setting and give L p -estimates for the Radon-Nikodym derivatives. The main ingredient in our proof is a generalized curvature-dimension estimate which holds on approximating finite-dimensional projection groups. Such estimates were first introduced by Baudoin and Garofalo in [4].

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Cited by 23 publications
(48 citation statements)
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“…Consequently the sup-normclosability of (E, D) implies lim n E(F − F n ) = 0. Given H ∈ C 1 c (I f,g 0 ) we have in particular 11 lim n N f,g ((F −F n ) 2 , H) = 0 by contractivity and Cauchy-Schwarz. If in addition H(…”
Section: Definitions and Main Resultsmentioning
confidence: 99%
“…Consequently the sup-normclosability of (E, D) implies lim n E(F − F n ) = 0. Given H ∈ C 1 c (I f,g 0 ) we have in particular 11 lim n N f,g ((F −F n ) 2 , H) = 0 by contractivity and Cauchy-Schwarz. If in addition H(…”
Section: Definitions and Main Resultsmentioning
confidence: 99%
“…Proof. We shall use the dimension-free Harnack inequality derived in [6] using the generalized curvature condition. Let…”
Section: An Explicit Inverse Poincaré Inequalitymentioning
confidence: 99%
“…for some constants c, c ′ > 0, see also Lemma 4.2 below for a generalized curvature-dimension condition. According to [3] (see also [6,Proposition 4.7]), this implies the following Harnack inequality of type [17] for some constant C > 0:…”
Section: An Explicit Inverse Poincaré Inequalitymentioning
confidence: 99%
“…[14,15]), quasi-invariance of heat kernel measures in infinite dimensions (e.g. [16,35]), functional inequalities such as Poincaré and log-Sobolev type inequalities (e.g. [13,25,46,56]), and the study of convergence to equilibrium for hypocoercive diffusions (e.g.…”
Section: Introductionmentioning
confidence: 99%