A law of large numbers for branching Markov processes by the ergodicity of ancestral lineages
ESAIM: Probability and Statistics, Tome 23 (2019), pp. 638-661.

We are interested in the dynamic of a structured branching population where the trait of each individual moves according to a Markov process. The rate of division of each individual is a function of its trait and when a branching event occurs, the trait of a descendant at birth depends on the trait of the mother. We prove a law of large numbers for the empirical distribution of ancestral trajectories. It ensures that the empirical measure converges to the mean value of the spine which is a time-inhomogeneous Markov process describing the trait of a typical individual along its ancestral lineage. Our approach relies on ergodicity arguments for this time-inhomogeneous Markov process. We apply this technique on the example of a size-structured population with exponential growth in varying environment.

Reçu le :
Accepté le :
DOI : 10.1051/ps/2018029
Classification : 60J80, 60F17, 60F25, 60J85, 92D25
Mots-clés : Branching Markov processes, law of large numbers, time-inhomogeneous Markov process, ergodicity
Marguet, Aline 1

1
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     title = {A law of large numbers for branching {Markov} processes by the ergodicity of ancestral lineages},
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     pages = {638--661},
     publisher = {EDP-Sciences},
     volume = {23},
     year = {2019},
     doi = {10.1051/ps/2018029},
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     language = {en},
     url = {http://archive.numdam.org/articles/10.1051/ps/2018029/}
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Marguet, Aline. A law of large numbers for branching Markov processes by the ergodicity of ancestral lineages. ESAIM: Probability and Statistics, Tome 23 (2019), pp. 638-661. doi : 10.1051/ps/2018029. http://archive.numdam.org/articles/10.1051/ps/2018029/

[1] S. Asmussen and H. Hering, Strong limit theorems for general supercritical branching processes with applications to branching diffusions. Probab. Theory Relat. Fields 36 (1976) 195–212 | MR | Zbl

[2] K.B. Athreya and H.-J. Kang, Some limit theorems for positive recurrent branching Markov chains: I. Adv. Appl. Probab. 30 (1998) 693–710 | DOI | MR | Zbl

[3] K.B. Athreya and H.-J. Kang, Some limit theorems for positive recurrent branching Markov chains: II. Adv. Appl. Probab. 30 (1998) 711–722 | DOI | MR | Zbl

[4] V. Bansaye, Ancestral lineages and limit theorems for branching Markov chains. Available at: (2014) | HAL

[5] V. Bansaye, J.-F. Delmas, L. Marsalle and V.C. Tran, Limit theorems for Markov processes indexed by continuous time Galton-Watson trees. Ann. Appl. Probab. 21 (2011) 2263–2314 | DOI | MR | Zbl

[6] V. Bansaye and C. Huang, Weak law of large numbers for some Markov chains along non homogeneous genealogies. ESAIM: PS 19 (2015) 307–326 | DOI | Numdam | MR | Zbl

[7] V. Bansaye and V.C. Tran, Branching Feller diffusion for cell division with parasite infection. Aléa 8 (2011) 241–242 | MR | Zbl

[8] B. Cloez, Limit theorems for some branching measure-valued processes. Adv. Appl. Probab. 49 (2017) 549–580 | DOI | MR | Zbl

[9] P. Del Moral, Feynman-Kac Formulae. Springer, New York (2004) | DOI | MR | Zbl

[10] J.-F. Delmas and L. Marsalle, Detection of cellular aging in a Galton-Watson process. Stoch. Process. Their Appl. 120 (2010) 2495–2519 | DOI | MR | Zbl

[11] J. Engländer, Law of large numbers for superdiffusions: The non-ergodic case. Ann. Inst. Henri Poincaré Probab. Statist. 45 (2009) 1–6 | DOI | Numdam | MR | Zbl

[12] J. Engländer, S. Harris and A. Kyprianou, Strong law of large numbers for branching diffusions. Ann. Inst. Henri Poincaré Probab. Statist. 46 (2010) 279–298 | DOI | Numdam | MR | Zbl

[13] J. Engländer and A. Winter, Law of large numbers for a class of superdiffusions. Ann. Inst. Henri Poincaré Probab. Statist. 42 (2006) 171–185 | DOI | Numdam | MR | Zbl

[14] S.N. Ethier and T.G. Kurtz, Markov Processes: Characterization and Convergence, Vol. 282. John Wiley & Sons, NJ (2009) | Zbl

[15] N. Fournier and S. Méléard, A microscopic probabilistic description of a locally regulated population and macroscopic approximations. Ann. Appl. Probab. (2004) 1880–1919 | MR | Zbl

[16] H.-O. Georgii and E. Baake, Supercritical multitype branching processes: the ancestral types of typical individuals. Adv. Appl. Probab. (2003) 1090–1110 | DOI | MR | Zbl

[17] J. Guyon, Limit theorems for bifurcating Markov chains. Application to the detection of cellular aging. Ann. Appl. Probab. 17 (2007) 1538–1569 | DOI | MR | Zbl

[18] M. Hairer and J.C. Mattingly, Yet another look at Harris ergodic theorem for Markov chains, in Seminar on Stochastic Analysis, Random Fields and Applications VI. Springer, Basel (2011) 109–117 | MR | Zbl

[19] S. Harris and M. Roberts, A strong law of large numbers for branching processes: almost sure spine events. Electron. Commun. Probab. 19 (2014) 1–6 | DOI | MR | Zbl

[20] M. Hoffmann and A. Olivier, Nonparametric estimation of the division rate of an age dependent branching process. Stoch. Process. Appl. 126 (2016) 1433–1471 | DOI | MR | Zbl

[21] A. Marguet, Uniform sampling in a structured branching population. Preprint (2016) | arXiv | MR

[22] S.P. Meyn and R.L. Tweedie, Markov Chains and Stochastic Stability. Springer Science & Business Media, Berlin (2012) | MR | Zbl

[23] S. Mischler and J. Scher, Spectral analysis of semigroups and growth-fragmentation equations. Ann. Inst. Henri Poincaré (C) Non Linear Anal. 33 (2016) 849–898 | DOI | Numdam | MR | Zbl

[24] Y.-X. Ren, R. Song and R. Zhang, Central limit theorems for supercritical branching Markov processes. J. Funct. Anal. 266 (2014) 1716–1756 | DOI | MR | Zbl

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