2001
DOI: 10.1006/jfan.2001.3776
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Weak Poincaré Inequalities and L2-Convergence Rates of Markov Semigroups

Abstract: In order to describe L 2 -convergence rates slower than exponential, the weak Poincare inequality is introduced. It is shown that the convergence rate of a Markov semigroup and the corresponding weak Poincare inequality can be determined by each other. Conditions for the weak Poincare inequality to hold are presented, which are easy to check and which hold in many applications. The weak Poincare inequality is also studied by using isoperimetric inequalities for diffusion and jump processes. Some typical exampl… Show more

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Cited by 157 publications
(224 citation statements)
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“…This result is actually true and shown (using another route) in [18] It is nevertheless interesting, at least for counter examples to know some sufficient conditions for the usual (SGP). If N = 1 a necessary and sufficient condition was obtained by Muckenhoupt (see [3] chapter 6).…”
Section: Examples: Rmentioning
confidence: 52%
See 1 more Smart Citation
“…This result is actually true and shown (using another route) in [18] It is nevertheless interesting, at least for counter examples to know some sufficient conditions for the usual (SGP). If N = 1 a necessary and sufficient condition was obtained by Muckenhoupt (see [3] chapter 6).…”
Section: Examples: Rmentioning
confidence: 52%
“…The usual spectral gap (or Poincaré) inequality will be denoted by (SGP). A weaker one introduced by Röckner and Wang (see [18]) called the weak spectral gap property (WSGP) is discussed in [1] and in section 5 of [6]. In particular (DLSI)+(WSGP) implies (TLSI) originally due to Mathieu ([17]) is shown in [6] Proposition 5.13.…”
Section: Some Notation and General Resultsmentioning
confidence: 99%
“…Therefore, we can apply Theorem 2.2 of [22] (see also [30] and [6]) and we get the following algebraic rate of convergence…”
Section: Weakly Converges Toũ(t) As N → ∞mentioning
confidence: 99%
“…The proof includes a result on the algebraic L 2 -convergence rate of the semi-group (Section 4.4). The key point is the derivation of a Nash type inequality which provides an estimate for convergence rates slower than exponential ( [22], [6], [30]). The diffusion coefficient is given by an infrared regularization of the thermal conductivity obtained in [4], [5], with a proper renormalization (13).…”
Section: Introductionmentioning
confidence: 99%
“…Next, we consider the weak Poincaré inequality introduced in [23], which describes the general convergence rate of the associated semigroup:…”
Section: The Dirichlet Formsmentioning
confidence: 99%