2021
DOI: 10.1007/s00285-021-01613-2
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Stationary distributions of persistent ecological systems

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Cited by 11 publications
(5 citation statements)
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“…Discontinuous dynamical systems find pervasive applications across various domains, from electrical circuits and mechanical systems to biological processes, see [1][2][3]. These systems frequently exhibit abrupt changes, discontinuities, or switching phenomena, leading to sudden state transitions or impacts.…”
Section: Introduction and Statement Of The Main Resultsmentioning
confidence: 99%
“…Discontinuous dynamical systems find pervasive applications across various domains, from electrical circuits and mechanical systems to biological processes, see [1][2][3]. These systems frequently exhibit abrupt changes, discontinuities, or switching phenomena, leading to sudden state transitions or impacts.…”
Section: Introduction and Statement Of The Main Resultsmentioning
confidence: 99%
“…Such hybrid systems occur in neuroscience (Anderson et al. 2015b ), cell biology (Bressloff 2014 ), and ecology (Hening and Li 2021 ; Hening et al. 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…Recent work by Hening et al has further extended this work to stochastic switching systems that can exhibit discontinuous changes in conditionally deterministic dynamics. Such hybrid systems occur in neuroscience (Anderson et al 2015b), cell biology (Bressloff 2014), and ecology (Hening and Li 2021;. In an ecological context, Hening et al (2020) classified the resulting systems by analyzing their stationary distributions.…”
Section: Discussionmentioning
confidence: 99%
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“…These results are generalized in [10] to allow parameters to change according to a piecewise deterministic Markov chain, and a fast algorithm for computing the stationary EJP 27 (2022), paper 85. distributions is also given. I expect that for density-dependent Markov chains and SDEs of the form (2.1), since N → 0 as N → ∞ a similar result holds if we use the invasion rates defined for the corresponding deterministic system x = F (x), and define permanence and impermanence according to whether the time to hit the boundary is long or short as a function of N .…”
Section: Related Workmentioning
confidence: 99%