Hostname: page-component-77c89778f8-n9wrp Total loading time: 0 Render date: 2024-07-24T10:00:09.204Z Has data issue: false hasContentIssue false

The time of completion of a linear birth-growth model

Published online by Cambridge University Press:  19 February 2016

S. N. Chiu*
Affiliation:
Hong Kong Baptist University
C. C. Yin*
Affiliation:
Hong Kong Baptist University and Qufu Normal University
*
Postal address: Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
∗∗ Email address: snchiu@math.hkbu.edu.hk

Abstract

Consider the following birth-growth model in ℝ. Seeds are born randomly according to an inhomogeneous space-time Poisson process. A newly formed point immediately initiates a bi-directional coverage by sending out a growing branch. Each frontier of a branch moves at a constant speed until it meets an opposing one. New seeds continue to form on the uncovered parts on the line. We are interested in the time until a bounded interval is completely covered. The exact and limiting distributions as the length of interval tends to infinity are obtained for this completion time by considering a related Markov process. Moreover, some strong limit results are also established.

Type
Stochastic Geometry and Statistical Applications
Copyright
Copyright © Applied Probability Trust 2000 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Research supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKBU/2075/98P) and also by the National Natural Science Foundation of China.

References

[1] Chiu, S. N. (1995). Limit theorems for the time of completion of Johnson–Mehl tessellations. Adv. Appl. Prob. 27, 889910.Google Scholar
[2] Chiu, S. N. (1997). A central limit theorem for linear Kolmogorov's birth–growth models. Stoch. Proc. Appl. 66, 97106.Google Scholar
[3] Chiu, S. N. and Quine, M. P. (1997). Central limit theory for the number of seeds in a growth model in Rd with inhomogeneous Poisson arrivals. Ann. Appl. Prob. 7, 802814.Google Scholar
[4] Cowan, R. Chiu, S. N. and Holst, L. (1995). A limit theorem for the replication time of a DNA molecule. J. Appl. Prob. 32, 296303.CrossRefGoogle Scholar
[5] Erhardsson, T. (1996). On the number of high excursions of linear growth processes. Stoch. Proc. Appl. 65, 3153.Google Scholar
[6] Holst, L., Quine, M. P. and Robinson, J. (1996). A general stochastic model for nucleation and linear growth. Ann. Appl. Prob. 6, 903921.Google Scholar
[7] Johnson, W. A. and Mehl, R. F. (1939). Reaction kinetics in processes of nucleation and growth. Trans. Amer. Inst. Min. Metal. Petro. Eng. 135, 410458.Google Scholar
[8] Kolmogorov, A. N. (1939). On statistical theory of metal crystallisation. Izv. Akad. Nauk SSSR, Ser. Mat. 3, 355360.Google Scholar
[9] Meijering, J. L. (1953). Interface area, edge length, and number of vertices in crystal aggregates with random nucleation. Philips Res. Rept 8, 270290.Google Scholar
[10] Quine, M. P. and Robinson, J. (1990). A linear random growth model. J. Appl. Prob. 27, 499509.Google Scholar
[11] Quine, M. P. and Robinson, J. (1992). Estimation for a linear growth model. Statist. Prob. Lett. 15, 295297.Google Scholar
[12] Vanderbei, R. J. and Shepp, L. A. (1988). A probabilistic model for the time to unravel a strand of DNA. Commun. Statist.–Stoch. Models 4, 299414.Google Scholar
[13] Wolk, C. P. (1975). Formation of one-dimensional patterns by stochastic processes and by filamentous blue-green algae. Devel. Biol. 46, 370382.Google Scholar