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Lévy Processes with Marked Jumps I: Limit Theorems

Author

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  • Cécile Delaporte

    (UPMC Univ. Paris 6)

Abstract

Consider a sequence $$({\tilde{Z}}_n,{\tilde{Z}}_n^{{m}})$$ ( Z ~ n , Z ~ n m ) of bivariate Lévy processes, such that $${\tilde{Z}}_n$$ Z ~ n is a spectrally positive Lévy process with finite variation, and $${\tilde{Z}}_n^{{m}}$$ Z ~ n m is the counting process of marks in $$\{0,1\}$$ { 0 , 1 } carried by the jumps of $${\tilde{Z}}_n$$ Z ~ n . The study of these processes is justified by their interpretation as contour processes of a sequence of splitting trees (Lambert in Ann Probab 38(1):348–395, 2010) with mutations at birth. Indeed, this paper is the first part of a work (Delaporte in Lévy processes with marked jumps II: application to a population model with mutations at birth) aiming to establish an invariance principle for the genealogies of such populations enriched with their mutational histories. To this aim, we define a bivariate subordinator that we call the marked ladder height process of $$({\tilde{Z}}_n,{\tilde{Z}}_n^{{m}})$$ ( Z ~ n , Z ~ n m ) , as a generalization of the classical ladder height process to our Lévy processes with marked jumps. Assuming that the sequence $$({\tilde{Z}}_n)$$ ( Z ~ n ) converges towards a Lévy process $$Z$$ Z with infinite variation, we first prove the convergence in distribution, with two possible regimes for the marks, of the marked ladder height process of $$({\tilde{Z}}_n,{\tilde{Z}}_n^{{m}})$$ ( Z ~ n , Z ~ n m ) . Then, we prove the joint convergence in law of $${\tilde{Z}}_n$$ Z ~ n with its local time at the supremum and its marked ladder height process. The proof of this latter result is an adaptation of Chaumont and Doney (Ann Probab 38(4):1368–1389, 2010) to the finite variation case.

Suggested Citation

  • Cécile Delaporte, 2015. "Lévy Processes with Marked Jumps I: Limit Theorems," Journal of Theoretical Probability, Springer, vol. 28(4), pages 1468-1499, December.
  • Handle: RePEc:spr:jotpro:v:28:y:2015:i:4:d:10.1007_s10959-014-0549-9
    DOI: 10.1007/s10959-014-0549-9
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    References listed on IDEAS

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    1. Geiger, Jochen, 1996. "Size-biased and conditioned random splitting trees," Stochastic Processes and their Applications, Elsevier, vol. 65(2), pages 187-207, December.
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