Abstract
We consider a stochastic population model, where the intrinsic or demographic noise causes cycling between states before the population eventually goes extinct. A master equation approach coupled with a (Wentzel–Kramers–Brillouin) WKB approximation is used to construct the optimal path to extinction. In addition, a probabilistic argument is used to understand the pre-extinction dynamics and approximate the mean time to extinction. Analytical results agree well with numerical Monte Carlo simulations. A control method is implemented to decrease the mean time to extinction. Analytical results quantify the effectiveness of the control and agree well with numerical simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 3122-3137 |
| Number of pages | 16 |
| Journal | Bulletin of Mathematical Biology |
| Volume | 76 |
| Issue number | 12 |
| DOIs | |
| State | Published - 6 Dec 2014 |
Keywords
- Master equation
- Mean time to extinction
- Pre-extinction dynamics
- Stochastic population models
- WKB approximation
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