2014
DOI: 10.1007/s00440-014-0577-5
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Persistence of integrated stable processes

Abstract: We compute the persistence exponent of the integral of a stable Lévy process in terms of its self-similarity and positivity parameters. This solves a problem raised by Shi (Lower tails of some integrated processes. In: Small deviations and related topics (problem panel 2003). Along the way, we investigate the law of the stable process L evaluated at the first time its integral X hits zero, when the bivariate process (X, L) starts from a coordinate axis. This extends classical formulae by McKean (J Math Kyoto … Show more

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Cited by 10 publications
(19 citation statements)
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References 23 publications
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“…Theorem C is an extension of Theorem A in [12] which dealt with the case µ = 0. In this respect, we should mention that the condition γα > 1 on the drift power is optimal: in the Cauchy case α = γ = 1, the same Theorem A in [12] shows that the lower tail probability exponent depends on µ. Our argument relies in an essential way on the strong Markov property of the bidimensional process {(L (1) t , L t ), t ≥ 0} and is hence specific to the case β = 1.…”
Section: Consider the Positive Random Variablementioning
confidence: 98%
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“…Theorem C is an extension of Theorem A in [12] which dealt with the case µ = 0. In this respect, we should mention that the condition γα > 1 on the drift power is optimal: in the Cauchy case α = γ = 1, the same Theorem A in [12] shows that the lower tail probability exponent depends on µ. Our argument relies in an essential way on the strong Markov property of the bidimensional process {(L (1) t , L t ), t ≥ 0} and is hence specific to the case β = 1.…”
Section: Consider the Positive Random Variablementioning
confidence: 98%
“…Following the notation of [12], we will set θ = ρ α(1 − ρ) + 1 once and for all. The upper bound follows easily from…”
Section: Proof Of Theorem Cmentioning
confidence: 99%
“…where H(δ, η, γ, c) is a positive constant, and it remains to prove that we may exchange the integral and the expectation on the left hand-side of (2.18). To do so, it is sufficient by Lemma 1 in [19] to prove that E |X 1 | Integrating twice by parts, we deduce that…”
Section: 2mentioning
confidence: 99%
“…The upper bound is much more involved, and we shall follow the idea of Profeta-Simon [19]. Applying the Markov property and Fubini's theorem, we have for λ > 0 and taking r ∈ 0, δ 2+γ :…”
Section: 2mentioning
confidence: 99%
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