2009
DOI: 10.1214/09-aop457
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Small deviations of general Lévy processes

Abstract: We study the small deviation problem log P(sup t∈[0,1] |Xt| ≤ ε), as ε → 0, for general Lévy processes X. The techniques enable us to determine the asymptotic rate for general real-valued Lévy processes, which we demonstrate with many examples.As a particular consequence, we show that a Lévy process with nonvanishing Gaussian component has the same (strong) asymptotic small deviation rate as the corresponding Brownian motion.F. AURZADA AND S. DEREICH Further, f ∼ g means that lim f /g = 1. We also use f gThis … Show more

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Cited by 18 publications
(31 citation statements)
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“…The main motivation for this paper originates from the recent work Aurzada and Dereich [2], where a framework for obtaining the small deviation rate (1.2) for general Lévy processes (but fixed t) is provided. The difficulty in passing over from the small deviation estimate to the respective LIL concerns circumventing the independence assumption of the Borel-Cantelli lemma.…”
Section: Introductionmentioning
confidence: 99%
“…The main motivation for this paper originates from the recent work Aurzada and Dereich [2], where a framework for obtaining the small deviation rate (1.2) for general Lévy processes (but fixed t) is provided. The difficulty in passing over from the small deviation estimate to the respective LIL concerns circumventing the independence assumption of the Borel-Cantelli lemma.…”
Section: Introductionmentioning
confidence: 99%
“…We will need the following system of SDEs which is nothing but the Galerkin approximation of (1): (35) where the sequence { k ; k ∈ N} is defined by (2)…”
Section: Proof Of Theorem 37: Exponential Mixing By Coupling Methodsmentioning
confidence: 99%
“…However, one can get this asymptotic behaviour for Gaussian processes (see, e.g., [12] and [11]) or real-valued Lévy processes (see [2]). There is a large amount of literature on small ball probabilities in the Gaussian setting and one can consult the survey article [12].…”
Section: Small Ball Problem and Chung's Law Of Iterated Logarithmmentioning
confidence: 99%