Abstract
The paper contains several results on the existence of limits for the first two moments of the popular model in the population dynamics: continuous-time branching random walks on the multidimensional lattice \(\mathbb Z^d\), \(d\ge 1\), with immigration and infinite number of initial particles. Additional result concerns the Lyapunov stability of the moments with respect to small perturbations of the parameters of the model such as mortality rate, the rate of the birth of \((n-1)\) offsprings and, finally, the immigration rate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Han, D., Molchanov, S., Whitmeyer, J.: Population processes with immigration. In: Panov, V. (ed.) Modern Problems of Stochastic Analysis and Statistics—Selected Contributions in Honor of Valentin Konakov, Springer, Heidelberg (2017), in press
Kolmogorov, A.N., Petrovskii, I.G., Piskunov, N.S.: A study of the diffusion equation with increase in the quality of matter, and its application to a biological problem. Bull. Moscow Univ. Math. Ser. A 1(6), 1–26 (1937). in Russian
Kondratiev, Y., Kutoviy, O., Pirogov, S.: Correlation functions and invariant measures in continuous contact model. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 11(2), 231–258 (2008)
Molchanov, S., Whitmeyer, J.: Spatial models of population processes. In: Panov, V. (ed.) Modern Problems of Stochastic Analysis and Statistics—Selected Contributions in Honor of Valentin Konakov, Springer, Heidelberg (2017), in press
Oksendal, B.: Stochastic Differential Equations. An Inroduction with Applications., 6th edn. Springer, Heidelberg (2005)
Yarovaya, E.B.: Branching random walks in a heterogeneous environment. Center of Applied Investigations of the Faculty of Mechanics and Mathematics of the Moscow State University, Moscow (2007), in Russian
Acknowledgments
Yu. Makarova and E. Yarovaya were supported by the Russain Foundation for Basic Research (RFBR), project No. 17-01-00468. S. Molchanov was supported by the Russain Science Foundation (RSF), project No. 17-11-01098.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Han, D., Makarova, Y., Molchanov, S., Yarovaya, E. (2017). Branching Random Walks with Immigration. In: Rykov, V., Singpurwalla, N., Zubkov, A. (eds) Analytical and Computational Methods in Probability Theory. ACMPT 2017. Lecture Notes in Computer Science(), vol 10684. Springer, Cham. https://doi.org/10.1007/978-3-319-71504-9_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-71504-9_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-71503-2
Online ISBN: 978-3-319-71504-9
eBook Packages: Computer ScienceComputer Science (R0)