Periodic solutions of stochastic delay differential equations and applications to logistic equation and neural networks
Dingshi Li,Daoyi Xu +1 more
TLDR
In this paper, the authors considered a class of periodic Ito-delay differential equations by using the properties of periodic Markov processes, and some sufficient conditions for the existence of periodic so-lution of the delay equations are given.Abstract:
. In this paper, we consider a class of periodic Itoˆ stochasticdelay differential equations by using the properties of periodic Markovprocesses, and some sufficient conditions for the existence of periodic so-lution of the delay equations are given. These existence theorems improvethe results obtained by Itoˆ et al. [6], Bainov et al. [1] and Xu et al. [15].As applications, we study the existence of periodic solution of periodicstochastic logistic equation and periodic stochastic neural networks withinfinite delays, respectively. The theorem for the existence of periodic so-lution of periodic stochastic logistic equation improve the result obtainedby Jiang et al. [7]. 1. IntroductionSince Itoˆ introduced his stochastic calculus about 50 years ago, the theory ofstochastic differential equations has been developed very quickly [1–15,17]. Itis now being recognized to be not only richer than the corresponding theory ofdifferential equations without stochastic perturbation but also represent a morenatural framework for mathematical modeling of many real-world phenomena.Now there also exists a well-developed qualitative theory of stochastic differ-ential equations [6,10,12]. However, not so much has been developed in thedirection of the periodically stochastic differential equations. Till now only afew papers have been published on this topic [1,3,4,15,17]. In papers [3,6], theauthors got the conditions for the existence of periodic solution of differentialequations with random right sides. Hasminskii in [4] gave some basic resultson the existence of periodic solution of stochastic differential equations withoutdelays. But, the above results can not be used to check the existence of peri-odic solution of general stochastic delay differential equations. In [15], Xu etread more
Citations
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Dynamical Analysis of a Class of Prey-Predator Model with Beddington-DeAngelis Functional Response, Stochastic Perturbation, and Impulsive Toxicant Input
TL;DR: It is proved that the stochastic prey-predator system in a polluted environment with Beddington-DeAngelis functional response is ergodic and has a stationary distribution when the concentration of toxicant is a positive constant.
Journal ArticleDOI
Stochastic periodic solution of a non-autonomous toxic-producing phytoplankton allelopathy model with environmental fluctuation
TL;DR: The results show that the allelopathic effect plays an important role in the existence of the stochastic periodic solution, for example it can lead to the decrease of the peaks of the cyclic outbreaks of the harmful algal blooms.
Journal ArticleDOI
Stationary distribution and periodic solution for stochastic predator-prey systems with nonlinear predator harvesting
TL;DR: The result shows that, the relatively weakerwhite noise will strengthen the stability of the system, but the stronger white noise will result in the extinction of one or two species.
Journal ArticleDOI
The periodic solutions of a stochastic chemostat model with periodic washout rate
TL;DR: It is observed that there exists a unique boundary periodic solution of the stochastic model which is globally attractive.
Journal ArticleDOI
Existence and uniqueness theorems for periodic Markov process and applications to stochastic functional differential equations
Hongxiao Hu,Liguang Xu +1 more
TL;DR: In this paper, sufficient conditions for the existence and uniqueness of the periodic Markov process are given, and numerical simulations are presented to illustrate the main results, including the existence, uniqueness and global attractivity of periodic solution for the periodic stochastic n-species Lotka-Voltrra competitive model.
References
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Book
Introduction to the Theory and Applications of Functional Differential Equations
TL;DR: Theoretical background of functional differential equation models is described in this article, where boundary value problems and Periodic Solutions of Differential Equations (PSE) problems are discussed.
Book
Exponential Stability of Stochastic Differential Equations
TL;DR: In this article, the authors present a systematic study of stochastic differential delay equations driven by nonlinear integrators, detailing various exponential stabilities for large-scale systems and large-dimensional systems.
Journal ArticleDOI
On stationary solutions of a stochastic differential equation.
Kiyosi Itô,Makiko Nisio +1 more
Abstract: : Discussed are: (1) Inequalities concerning stochastic integrals; (2) Totally bounded sets of stochastic processes; (3) The approximate sum of a stochastic intergral; (4) One sided solutions; (5) Stationary solutions; (6) Borel algebras related to the stationary solutions; (7) Lipschitz conditions; (8) Linear coefficients; (9) Diffusion theorems; (10) A modified Girsanov example; (11) A deterministic example; and (12) A two-dimensional example.
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Exponential stability and instability of stochastic neural networks 1
X.X. Liao,Xuerong Mao +1 more
TL;DR: In this paper, the Geral theory on the almost sure exponential stability and instability of the stochastically perturbed neural network is first established, and the theory is then applied to investigate stochastic stabilization and destabilization of the network.