دانلود مقاله ISI انگلیسی شماره 8625
عنوان فارسی مقاله

انشعاب هوپف و ثبات برای یک سیستم اقتصادی بیولوژیکی دیفرانسیل جبری

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
8625 2010 9 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Hopf bifurcation and stability for a differential-algebraic biological economic system
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Mathematics and Computation, Volume 217, Issue 1, 1 September 2010, Pages 330–338

کلمات کلیدی
ثبات - انشعاب هوپف - سیستم دیفرانسیل جبری - راه حل دوره ای - برداشت
پیش نمایش مقاله
پیش نمایش مقاله انشعاب هوپف و ثبات برای یک سیستم اقتصادی بیولوژیکی دیفرانسیل جبری

چکیده انگلیسی

In this paper, we analyze the stability and Hopf bifurcation of the biological economic system based on the new normal form and the Hopf bifurcation theorem. The basic model we consider is owed to a ratio-dependent predator–prey system with harvesting, compared with other researches on dynamics of predator–prey population, this system is described by differential-algebraic equations due to economic factor. Here μ as bifurcation parameter, it is found that periodic solutions arise from stable stationary states when the parameter μ increases close to a certain limit. Finally, numerical simulations illustrate the effectiveness of our results.

مقدمه انگلیسی

In recent years, mankind is facing the problems about shortage of resource and worsening environment. So there has been rapidly growing interest in the analysis and modelling of biological systems. From the view of human need, the exploitation of biological resources and harvest of population are commonly practiced in the fields of fishery, wildlife and forestry management. The predator–prey system plays an important and fundamental role among the relationships between the biological population. Many authors [1], [2], [3] and [4] have studied the dynamics of predator–prey models with harvesting, and obtained complex dynamic behavior, such as stability of equilibrium, Hopf bifurcation, limit cycle, Bogdanov–Takens bifurcation and so on. Quite a number of references [5], [6], [7] and [8] have discussed permanence, extinction and periodic solution of predator–prey models. Most of these discussions on biological models are based on normal systems governed by differential equations or difference equations. In daily life, economic profit is a very important factor for governments, merchants and even every citizen, so it is necessary to research biological economic systems, which can be described by differential-algebraic equations or differential-difference-algebraic equations. At present, most of differential-algebraic equations can be found in the general power systems [9] and [10], economic administration [11], mechanical engineering [12] and so on. There are also several biological reports on differential algebraic equations [13] and [14]. Digital control systems of power grids [15] and biological systems, such as neural networks [16] and genetic networks [17], are typical models mixed with both continuous and discrete time sequences which can mathematically be formulated as differential-difference-algebraic equations. In addition, a lot of fundamental analyzing methods for differential algebraic equations and differential-difference-algebraic equations have been presented, such as local stability [18], optimal control [19] and so on. However, to the best of our knowledge, there are few reports on differential-algebraic equations in biological fields. This paper mainly studies the stability and Hopf bifurcation of a new biological economic system formulated by differential-algebraic equations. In what follows, we introduce the new biological economic system. The basic model we consider is based on the following ratio-dependent predator–prey system with harvest where r1, r2 represent growth rate of the prey and predator, respectively, ϵ, θ and α are positive constants, and u and v can be interpreted as the densities of prey and predator populations at time t, respectively, E∗ represents harvesting effort. αvE∗ indicates that the harvests for predator population are proportional to their densities at time t, when there is no harvesting was considered by Zhou et al. [20] in detail. Combining the economic theory of fishery resource [21] proposed by Gordon in 1954, we can obtain a biological economic system expressed by differential algebraic equation The organization of this paper is as follows. In Section 2, the local stability of the nonnegative equilibrium points are discussed by the corresponding characteristic equation of the system (5). In Section 3, we study the Hopf bifurcation of the positive equilibrium point depending on the parameter μ, based on the normal form and Hopf bifurcation theorem, we derive the formula for determining the properties of Hopf bifurcation of the biological economic system (3). In Section 4, numerical simulations are performed to illustrate the effectiveness of our results. Finally, this paper ends by a brief conclusion.

نتیجه گیری انگلیسی

From the above results, we can conclude that the stability properties of the system could switch with parameter μ that is incorporated on the economic profit in the differential-algebraic biological economic system (3). So the government ought to adjust revenue and draw out favorable policy to encourage or improve fishery or abating pollution, so that the population can be driven to steady states, which will contribute to the persistence and sustainable development of the prey-predator ecosystem. Based on the economic theory of Gordon, this paper regards both population (prey and predator) densities and the harvesting as variables, which are governed by differential equations and algebraic equations, and investigates the effects of economic profit on the dynamics of the prey-predator system. In addition, the paper provide a new and efficacious method for the qualitative analysis of the Hopf bifurcation of the differential-algebraic biological economic system. The method may be applied to or the other class of or some more complex nonlinear systems such as system (2) with non-selective harvesting and delay and so on. These issues will be the topics of future research.

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