Probability Surveys
previous :: next

Proof(s) of the Lamperti representation of continuous-state branching processes

Ma. Emilia Caballero, Amaury Lambert, and Gerónimo Uribe Bravo
Source: Probab. Surveys Volume 6 (2009), 62-89.

Abstract

This paper uses two new ingredients, namely stochastic differential equations satisfied by continuous-state branching processes (CSBPs), and a topology under which the Lamperti transformation is continuous, in order to provide self-contained proofs of Lamperti’s 1967 representation of CSBPs in terms of spectrally positive Lévy processes. The first proof is a direct probabilistic proof, and the second one uses approximations by discrete processes, for which the Lamperti representation is evident.

First Page: Show Hide
Primary Subjects: 60J80
Secondary Subjects: 60B10, 60G44, 60G51, 60H20
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.ps/1259677176
Digital Object Identifier: doi:10.1214/09-PS154
Zentralblatt MATH identifier: 05728613
Mathematical Reviews number (MathSciNet): MR2592395

References

[1] Bertoin, J. (1996). Lévy processes. Cambridge Tracts in Mathematics, Vol. 121. Cambridge University Press, Cambridge.
Mathematical Reviews (MathSciNet): MR1406564
[2] Bertoin, J. (1997). Cauchy’s principal value of local times of Lévy processes with no negative jumps via continuous branching processes. Electron. J. Probab. 2, no. 6, 12 pp. (electronic).
Mathematical Reviews (MathSciNet): MR1475864
[3] Bertoin, J. (2000). Subordinators, Lévy processes with no negative jumps and branching processes. MaPhySto Lecture Notes Series No. 8.
[4] Bertoin, J. and Le Gall, J.-F. (2005). Stochastic flows associated to coalescent processes. II. Stochastic differential equations. Ann. Inst. H. Poincaré Probab. Statist. 41, 3, 307–333.
Mathematical Reviews (MathSciNet): MR2139022
Zentralblatt MATH: 1119.60024
Digital Object Identifier: doi:10.1016/j.anihpb.2004.07.003
[5] Bertoin, J. and Le Gall, J.-F. (2006). Stochastic flows associated to coalescent processes. III. Limit theorems. Illinois J. Math. 50, 1-4, 147–181 (electronic).
Mathematical Reviews (MathSciNet): MR2247827
Zentralblatt MATH: 1110.60026
Project Euclid: euclid.ijm/1258059473
[6] Bertoin, J. and Yor, M. (2005). Exponential functionals of Lévy processes. Probab. Surv. 2, 191–212 (electronic).
Mathematical Reviews (MathSciNet): MR2178044
Digital Object Identifier: doi:10.1214/154957805100000122
Project Euclid: euclid.ps/1127136329
[7] Billingsley, P. (1999). Convergence of probability measures, Second ed. Wiley Series in Probability and Statistics: Probability and Statistics. John Wiley & Sons Inc., New York. A Wiley-Interscience Publication.
Mathematical Reviews (MathSciNet): MR1700749
[8] Bingham, N. H. (1976). Continuous branching processes and spectral positivity. Stochastic Processes Appl. 4, 3, 217–242.
Mathematical Reviews (MathSciNet): MR410961
Zentralblatt MATH: 0338.60051
Digital Object Identifier: doi:10.1016/0304-4149(76)90011-9
[9] Dawson, D. A. and Li, Z. (2006). Skew convolution semigroups and affine Markov processes. Ann. Probab. 34, 3, 1103–1142.
Mathematical Reviews (MathSciNet): MR2243880
Zentralblatt MATH: 1102.60065
Digital Object Identifier: doi:10.1214/009117905000000747
Project Euclid: euclid.aop/1151418494
[10] Dynkin, E. B. (1965). Markov processes. Vols. I, II. Translated with the authorization and assistance of the author by J. Fabius, V. Greenberg, A. Maitra, G. Majone. Die Grundlehren der Mathematischen Wi ssenschaften, Bände 121, Vol. 122. Academic Press Inc., Publishers, New York.
Mathematical Reviews (MathSciNet): MR193671
[11] Ethier, S. N. and Kurtz, T. G. (1986). Markov processes. Characterization and convergence. Wiley Series in Probability and Mathematical Statistics: Probability and Mathematical Statistics. John Wiley & Sons Inc., New York.
Mathematical Reviews (MathSciNet): MR838085
[12] Gīhman, Ĭ. Ī. and Skorohod, A. V. (1980). The theory of stochastic processes. I, English ed. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], Vol. 210. Springer-Verlag, Berlin. Translated from the Russian by Samuel Kotz.
[13] Grimvall, A. (1974). On the convergence of sequences of branching processes. Ann. Probability 2, 1027–1045.
Mathematical Reviews (MathSciNet): MR362529
Digital Object Identifier: doi:10.1214/aop/1176996496
[14] Helland, I. S. (1978). Continuity of a class of random time transformations. Stochastic Processes Appl. 7, 1, 79–99.
Mathematical Reviews (MathSciNet): MR488203
Digital Object Identifier: doi:10.1016/0304-4149(78)90040-6
[15] Ikeda, N. and Watanabe, S. (1989). Stochastic differential equations and diffusion processes, Second ed. North-Holland Mathematical Library, Vol. 24. North-Holland Publishing Co., Amsterdam.
Mathematical Reviews (MathSciNet): MR1011252
[16] Jacod, J. and Shiryaev, A. N. (2003). Limit theorems for stochastic processes, Second ed. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], Vol. 288. Springer-Verlag, Berlin.
Mathematical Reviews (MathSciNet): MR1943877
[17] Kallenberg, O. (2002). Foundations of modern probability, Second ed. Probability and its Applications (New York). Springer-Verlag, New York.
Mathematical Reviews (MathSciNet): MR1876169
[18] Kawazu, K. and Watanabe, S. (1971). Branching processes with immigration and related limit theorems. Teor. Verojatnost. i Primenen. 16, 34–51.
Mathematical Reviews (MathSciNet): MR290475
[19] Kyprianou, A. E. (2006). Introductory lectures on fluctuations of Lévy processes with applications. Universitext. Springer-Verlag, Berlin.
Mathematical Reviews (MathSciNet): MR2250061
[20] Lamperti, J. (1967a). Continuous state branching processes. Bull. Amer. Math. Soc. 73, 382–386.
Mathematical Reviews (MathSciNet): MR208685
Digital Object Identifier: doi:10.1090/S0002-9904-1967-11762-2
Project Euclid: euclid.bams/1183528846
[21] Lamperti, J. (1967b). The limit of a sequence of branching processes. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 7, 271–288.
Mathematical Reviews (MathSciNet): MR217893
Digital Object Identifier: doi:10.1007/BF01844446
[22] Lamperti, J. (1967c). Limiting distributions for branching processes. In Proc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66), Vol. II: Contributions to Probability Theory, Part 2. Univ. California Press, Berkeley, Calif., 225–241.
Mathematical Reviews (MathSciNet): MR219148
Zentralblatt MATH: 0238.60066
[23] Lamperti, J. (1972). Semi-stable Markov processes. I. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 22, 205–225.
Mathematical Reviews (MathSciNet): MR307358
Digital Object Identifier: doi:10.1007/BF00536091
[24] Le Gall, J.-F. (1999). Spatial branching processes, random snakes and partial differential equations. Lectures in Mathematics ETH Zürich. Birkhäuser Verlag, Basel.
[25] Pagès, G. (1986). Un théorème de convergence fonctionnelle pour les intégrales stochastiques. In Séminaire de Probabilités, XX, 1984/85. Lecture Notes in Math., Vol. 1204. Springer, Berlin, 572–611.
Mathematical Reviews (MathSciNet): MR942045
[26] Silverstein, M. L. (1967/1968). A new approach to local times. J. Math. Mech. 17, 1023–1054.
Mathematical Reviews (MathSciNet): MR226734
Zentralblatt MATH: 0184.41101
[27] Whitt, W. (1980). Some useful functions for functional limit theorems. Math. Oper. Res. 5, 1, 67–85.
Mathematical Reviews (MathSciNet): MR561155
Zentralblatt MATH: 0428.60010
Digital Object Identifier: doi:10.1287/moor.5.1.67
previous :: next

2012 © IMS and ISI/Bernoulli Society

Probability Surveys

Probability Surveys