TY - JOUR
T1 - Population switching under a time-varying environment
AU - Israeli, Tom
AU - Assaf, Michael
N1 - Publisher Copyright:
©2020 American Physical Society.
PY - 2020/2
Y1 - 2020/2
N2 - We study the switching dynamics of a stochastic population subjected to a deterministically time-varying environment. Our approach is demonstrated on a problem of population establishment, which is important in ecology. At the deterministic level, the model we study gives rise to a critical population size beyond which the system experiences establishment. Notably the latter has been shown to be strongly influenced by the interplay between demographic and environmental variations. Here we consider two prototypical examples of a time-varying environment: A temporary change in the environment, and a periodically varying environment. By employing a semiclassical approximation we compute, within exponential accuracy, the change in the establishment probability and mean establishment time of the population, due to the environmental variability. Our analytical results are verified by using a modified Gillespie algorithm which accounts for explicitly time-dependent reaction rates. Importantly, our theoretical approach can also be useful in studying switching dynamics in gene regulatory networks under external variations.
AB - We study the switching dynamics of a stochastic population subjected to a deterministically time-varying environment. Our approach is demonstrated on a problem of population establishment, which is important in ecology. At the deterministic level, the model we study gives rise to a critical population size beyond which the system experiences establishment. Notably the latter has been shown to be strongly influenced by the interplay between demographic and environmental variations. Here we consider two prototypical examples of a time-varying environment: A temporary change in the environment, and a periodically varying environment. By employing a semiclassical approximation we compute, within exponential accuracy, the change in the establishment probability and mean establishment time of the population, due to the environmental variability. Our analytical results are verified by using a modified Gillespie algorithm which accounts for explicitly time-dependent reaction rates. Importantly, our theoretical approach can also be useful in studying switching dynamics in gene regulatory networks under external variations.
UR - http://www.scopus.com/inward/record.url?scp=85080028503&partnerID=8YFLogxK
U2 - 10.1103/PhysRevE.101.022109
DO - 10.1103/PhysRevE.101.022109
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C2 - 32168603
AN - SCOPUS:85080028503
SN - 2470-0045
VL - 101
JO - Physical Review E
JF - Physical Review E
IS - 2
M1 - 022109
ER -