2007
DOI: 10.1007/s00440-007-0081-2
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Fragmentation associated with Lévy processes using snake

Abstract: We consider the height process of a Lévy process with no negative jumps, and its associated continuous tree representation. Using Lévy snake tools developed by Le Gall-Le Jan and Duquesne-Le Gall, with an underlying Poisson process, we construct a fragmentation process, which in the stable case corresponds to the selfsimilar fragmentation described by Miermont. For the general fragmentation process we compute a family of dislocation measures as well as the law of the size of a tagged fragment. We also give a s… Show more

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Cited by 26 publications
(172 citation statements)
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“…We will see in Section 4.2 that the measure ν nod is the same as the measure ν in the case of a tree without Brownian part (β = 0). Thus the proof of Part 1 of Theorem 1.1 is the same as in [1]. Only Part 2 needs a proof.…”
Section: The Dislocation Measurementioning
confidence: 92%
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“…We will see in Section 4.2 that the measure ν nod is the same as the measure ν in the case of a tree without Brownian part (β = 0). Thus the proof of Part 1 of Theorem 1.1 is the same as in [1]. Only Part 2 needs a proof.…”
Section: The Dislocation Measurementioning
confidence: 92%
“…with the same normalization as in [1]. We say that a CRT coded by its associated height process H is a Lévy CRT.…”
Section: Definition 21 We Say That a Metric Space (T D) Is A Realmentioning
confidence: 99%
“…Remark 2.8. From [1] (see Theorem 6.1 and Proposition 6.3 in Section 6.1), there is a relationship between the infinitesimal generator of ρ and the infinitesimal generator of the exploration process, ρ (θ) , associated to a Lévy process with exponent ψ (θ) , where…”
Section: 3mentioning
confidence: 99%
“…The strong Markov property of the exploration process is a fundamental property and has been proved in [7]. In [1], the exploration process is used in order to construct a fragmentation process associated to a Lévy process using Markov properties and martingale problems.…”
Section: Introductionmentioning
confidence: 99%
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