Ergodic stationary distribution and practical application of a hybrid stochastic cholera transmission model with waning vaccine‐induced immunity under nonlinear regime switching

2021 ◽  
Author(s):  
Baoquan Zhou ◽  
Daqing Jiang ◽  
Bingtao Han ◽  
Tasawar Hayat
Keyword(s):  
Stationary Distribution ◽  
Regime Switching ◽  
Nonlinear Regime ◽  
Transmission Model ◽  
Practical Application ◽  
Induced Immunity

scholarly journals Stationary distribution of a stochastic hybrid phytoplankton model with allelopathy

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Weiming Ji ◽  
Zhaojuan Wang ◽  
Guixin Hu
Keyword(s):  
Stationary Distribution ◽  
Regime Switching ◽  
Heterocapsa Triquetra

Abstract This research proposes and delves into a stochastic competitive phytoplankton model with allelopathy and regime-switching. Sufficient criteria are proffered to ensure that the model possesses a unique ergodic stationary distribution (UESD). Furthermore, it is testified that these criteria are sharp on certain conditions. Some critical functions of regime-switching on the existence of a UESD of the model are disclosed: regime-switching could lead to the appearance of the UESD. The theoretical findings are also applied to research the evolution of Heterocapsa triquetra and Chrysocromulina polylepis.

Long-time behavior of Lévy-driven Ornstein–Uhlenbeck processes with regime switching

2020 ◽  
Vol 57 (1) ◽  
pp. 266-279
Author(s):  
Zhongwei Liao ◽  
Jinghai Shao
Keyword(s):  
Stationary Distribution ◽  
Regime Switching ◽  
Lévy Noise ◽  
Time Behavior ◽  
Long Time Behavior ◽  
Lévy Measure ◽  
Uhlenbeck Process ◽  
Ornstein Uhlenbeck Process ◽  
Long Time ◽  
Levy Noise

AbstractWe investigate the long-time behavior of the Ornstein–Uhlenbeck process driven by Lévy noise with regime switching. We provide explicit criteria on the transience and recurrence of this process. Contrasted with the Ornstein–Uhlenbeck process driven simply by Brownian motion, whose stationary distribution must be light-tailed, both the jumps caused by the Lévy noise and the regime switching described by a Markov chain can derive the heavy-tailed property of the stationary distribution. The different role played by the Lévy measure and the regime-switching process is clearly characterized.

scholarly journals Dynamics of a stochastic HIV/AIDS model with treatment under regime switching

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Miaomiao Gao ◽  
Daqing Jiang ◽  
Tasawar Hayat ◽  
Ahmed Alsaedi ◽  
Bashir Ahmad
Keyword(s):  
Stationary Distribution ◽  
Regime Switching ◽  
Lyapunov Functions ◽  
Sufficient Conditions ◽  
Aids Model ◽  
Telegraph Noise ◽  
Spread Dynamics ◽  
Global Positive Solution ◽  
Theoretical Results ◽  
Hiv Aids

<p style='text-indent:20px;'>This paper focuses on the spread dynamics of an HIV/AIDS model with multiple stages of infection and treatment, which is disturbed by both white noise and telegraph noise. Switching between different environmental states is governed by Markov chain. Firstly, we prove the existence and uniqueness of the global positive solution. Then we investigate the existence of a unique ergodic stationary distribution by constructing suitable Lyapunov functions with regime switching. Furthermore, sufficient conditions for extinction of the disease are derived. The conditions presented for the existence of stationary distribution improve and generalize the previous results. Finally, numerical examples are given to illustrate our theoretical results.</p>

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