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Oscillation and Stability of Delay Models in Biology

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Abstract

Environmental variation plays an important role in many biological and ecological dynamical systems. This monograph focuses on the study of oscillation and the stability of delay models occurring in biology. The book presents recent research results on the qualitative behavior of mathematical models under different physical and environmental conditions, covering dynamics including the distribution and consumption of food. Researchers in the fields of mathematical modeling, mathematical biology, and population dynamics will be particularly interested in this material. © 2014 Springer International Publishing Switzerland. All rights are reserved.
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ISBN 978-3-319-06556-4
Ravi P.Agarwal· DonalO'Regan
Samir H.Saker
Oscillation and
Stability of
Delay Models
in Biology
Oscillation and Stability of Delay
Models in Biology
Agarwal · O'Regan · Saker
Ravi P.Agarwal· DonalO'Regan· Samir H.Saker
Oscillation and Stability of Delay Models in Biology
Environmental variation plays an important role in many biological and ecological
dynamical systems. This monograph focuses on the study of oscillation and the
stability of delay models occurring in biology. The book presents recent research
results on the qualitative behavior of mathematical models under dierent physical
and environmental conditions, covering dynamics including the distribution and
consumption of food. Researchers in the elds of mathematical modeling, mathematical
biology, and population dynamics will be particularly interested in this material.
Mathematics
9 783319 065564

Chapters (6)

All processes in organisms, from the interaction of molecules to complex functions of the brain and other organs, obey physical laws. Mathematical modeling is an important step towards uncovering the organizational principles and dynamic behavior of biological systems.
The qualitative study of mathematical models is important in applied mathematics, physics, meteorology, engineering, and population dynamics. In this chapter, we are concerned with the oscillation of solutions of different types of delay logistic models about their positive steady states.
The stability of the equilibrium points is important in the study of mathematical models. The equilibrium point \(\overline{N}\) is locally stable if the solution of the model N(t) approaches \(\overline{N}\) as time increases for all the initial values, in some neighborhood of \(\overline{N}\).
Differential equation with piecewise continuous argument (or DEPCA) will be discussed in this chapter.
Smith [66] reasoned that a food-limited population in its growing stage requires food for both maintenance and growth, whereas, when the population has reached saturation level, food is needed for maintenance only. On the basis of these assumptions, Smith derived a model of the form $$\displaystyle{ \frac{dN(t)} {dt} = rN(t) \frac{K - N(t)} {K + crN(t)} }$$ (5.1) which is called the “food limited” population . Here N, r, and K are the mass of the population, the rate of increase with unlimited food, and the value of N at saturation, respectively. The constant 1∕c is the rate of replacement of mass in the population at saturation. Since a realistic model must include some of the past history of the population, Gopalsamy, Kulenovic and Ladas introduced the delay in (5.1) and considered the equation $$\displaystyle{ \frac{dN(t)} {dt} = rN(t) \frac{K - N(t-\tau )} {K + crN(t-\tau )}, }$$ as the delay “food-limited” population model, where r, K, c, and τ are positive constants.
Population dispersal plays an important role in the population dynamics which arises from environmental and ecological gradients in the habitat. We assume that the systems under consideration are allowed to diffuse spatially besides evolving in time. The spatial diffusion arises from the tendency of species to migrate towards regions of lower population density where the life is better. The most familiar model systems incorporating these features are reaction diffusion equations.
... Therefore, we decide to introduce time delay into the ecological system cooperating to the delay feature of morphogens. Since time delay can cause disturbance, loss of stability of the equilibrium state and emergence of bifurcation phenomenon in the system, that can bring rich dynamical behaviors (see [1,2,7,8,11,13,15,[18][19][20][21]). In this paper, for our particular interests, we add the distributed delay into system (1.2) and investigate the rich dynamics of the system. ...
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This paper is committed to study the dynamical behaviors of a generalized reaction-diffusion Maginu model with distributed delay. We investigate the stability of the positive equilibrium and the existence of periodic solutions bifurcating from the positive equilibrium. Further, by using the center manifold theorem and the normal form theory, we derive the precise conditions to judge the bifurcation direction and the stability of the bifurcating periodic solutions. Importantly, we deduce the exact conditions in terms of the diffusion coefficients to guarantee the occurrence of Turing instability for both homogeneous equilibrium solution and the Hopf bifurcating periodic solutions. Intuitively, numerical simulations are used to support our theoretical analysis.
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... Nowadays impulsive differential equations are attracting a lot of attention. They appear in the study of several real world problems (see, for instance, [1,2,15]). In general, it is well known that several natural phenomena are driven by differential equations, but the description of some real world problems subjected to sudden changes in their stated became very interesting from the mathematical point of view because they should be described considering systems of differential equations with impulses. ...
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... IDEs are related to mechanical systems,theoretical physics, chemistry, control theory and so on. Hence, they are regarded as an effective mathematical tool to solve some real-world problems in the applied sciences (see, for instance, [1][2][3][4]). Many authors are devoted to the existence of solutions to IDEs. ...
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... where x = x(t) and y = y(t) represent the densities of two species at time t, respectively; a 1 and a 2 represent the intrinsic growth rate of the two species, b 1 and b 2 are positive constants, p ≥ 1, c 1 > 0. The authors investigated the properties of equilibria of the system. It is well known that delays can have great impact on the dynamics of a system, for example, delays can induce oscillations [Agarwal et al., 2014], induce chaotic behaviors [Kuang, 1993], delays can cause the loss of stability of equilibria and induce bifurcation phenomena [Niu & Jiang, 2013;Yuan et al., 2015;Su & Zou, 2014;Wang & Wei, 2019;Chen & Wei, 2015;Zhang et al., 2009;Yan & Chu, 2006;Liao et al., 2014;Zhang et al., 2010]. In 2010, Zhang et al. [2010] proposed the following predatorprey model with a discrete delay and a distributed delay ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩ dx(t) dt = x(t)((r 1 − a 11 x(t) − a 12 y(t − τ )), ...
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... Nowadays, the study of qualitative properties of ordinary differential equations attracts considerable attention from the scientific community due to numerous applications of them to several contexts, such as Biology, Physics, Chemistry, and Dynamical Systems. For some details related to the recent studies on oscillation and non-oscillation properties, exponential stability, instability, existence of unbounded solutions of the equations under consideration, we refer the reader to the books [1,2]. ...
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... Then, models describing viscoelastic bodies colliding systems with delay and impulses are more appropriate (see [1] and references therein for a review). The models appear in the study of several real-world problems (see, for instance, [2][3][4]). In general, it is well-known that several natural phenomena are driven by impulsive differential equations. ...
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