Permanence and global stability of a May cooperative system with strong and weak cooperative partners

Similar documents
Dynamic behaviors of a stage-structured

Research Article On the Stability Property of the Infection-Free Equilibrium of a Viral Infection Model

Permanence and global attractivity of a nonautonomous modified Leslie-Gower predator-prey model with Holling-type II schemes and a prey refuge

Persistence and global stability in discrete models of Lotka Volterra type

Applied Mathematics Letters. Stationary distribution, ergodicity and extinction of a stochastic generalized logistic system

DYNAMICS IN A COMPETITIVE LOTKA-VOLTERRA PREDATOR-PREY MODEL WITH MULTIPLE DELAYS. Changjin Xu 1. Yusen Wu. 1. Introduction

Global attractivity and positive almost periodic solution of a multispecies discrete mutualism system with time delays

PERMANENCE IN LOGISTIC AND LOTKA-VOLTERRA SYSTEMS WITH DISPERSAL AND TIME DELAYS

Bifurcation and Stability Analysis of a Prey-predator System with a Reserved Area

On a non-autonomous stochastic Lotka-Volterra competitive system

Existence of Positive Periodic Solutions of Mutualism Systems with Several Delays 1

ALMOST PERIODIC SOLUTION OF A MULTISPECIES DISCRETE LOTKA-VOLTERRA MUTUALISM SYSTEM

On the existence of solution to a boundary value problem of fractional differential equation on the infinite interval

Global Stability Analysis on a Predator-Prey Model with Omnivores

LOTKA-VOLTERRA SYSTEMS WITH DELAY

Stationary distribution and pathwise estimation of n-species mutualism system with stochastic perturbation

Research Article The Mathematical Study of Pest Management Strategy

Permanency and Asymptotic Behavior of The Generalized Lotka-Volterra Food Chain System

Monotone variational inequalities, generalized equilibrium problems and fixed point methods

Oscillation theorems for nonlinear fractional difference equations

Dynamical Analysis of a Harvested Predator-prey. Model with Ratio-dependent Response Function. and Prey Refuge

A fixed point problem under two constraint inequalities

A maximum principle for optimal control system with endpoint constraints

On complete convergence and complete moment convergence for weighted sums of ρ -mixing random variables

Stability analysis of a prey-predator model with a reserved area

Strong convergence theorems for total quasi-ϕasymptotically

Global attractivity and positive almost periodic solution of a discrete multispecies Gilpin-Ayala competition system with feedback control

Analysis of a predator prey model with modified Leslie Gower and Holling-type II schemes with time delay

Research Article Existence of Almost-Periodic Solutions for Lotka-Volterra Cooperative Systems with Time Delay

Dynamics of an almost periodic facultative mutualism model with time delays

Approximations to inverse tangent function

Harvesting Model for Fishery Resource with Reserve Area and Modified Effort Function

Newcriteria for H-tensors and an application

Oscillation results for certain forced fractional difference equations with damping term

Positive solutions for integral boundary value problem of two-term fractional differential equations

Anti-synchronization of a new hyperchaotic system via small-gain theorem

The Split Common Fixed Point Problem for Asymptotically Quasi-Nonexpansive Mappings in the Intermediate Sense

Some inequalities for unitarily invariant norms of matrices

Available online at Adv. Fixed Point Theory, 3 (2013), No. 4, ISSN:

ROLE OF TIME-DELAY IN AN ECOTOXICOLOGICAL PROBLEM

Time-delay feedback control in a delayed dynamical chaos system and its applications

Some new sequences that converge to the Ioachimescu constant

Solution of fractional differential equations via α ψ-geraghty type mappings

Global dynamics of a predator-prey system with Holling type II functional response

EXISTENCE OF POSITIVE PERIODIC SOLUTIONS OF DISCRETE MODEL FOR THE INTERACTION OF DEMAND AND SUPPLY. S. H. Saker

Research Article Convex Polyhedron Method to Stability of Continuous Systems with Two Additive Time-Varying Delay Components

The Generalized Viscosity Implicit Rules of Asymptotically Nonexpansive Mappings in Hilbert Spaces

ESAIM: M2AN Modélisation Mathématique et Analyse Numérique M2AN, Vol. 37, N o 2, 2003, pp DOI: /m2an:

MUtualism, an interaction of two-species of organisms

Dynamics of Modified Leslie-Gower Predator-Prey Model with Predator Harvesting

Two Modifications of the Beverton Holt Equation

Physics: spring-mass system, planet motion, pendulum. Biology: ecology problem, neural conduction, epidemics

Wirtinger inequality using Bessel functions

Hopf-Fold Bifurcation Analysis in a Delayed Predator-prey Models

Ordinary Differential Equations

Optimal bounds for Neuman-Sándor mean in terms of the convex combination of the logarithmic and the second Seiffert means

New hybrid conjugate gradient methods with the generalized Wolfe line search

Some new continued fraction sequence convergent to the Somos quadratic recurrence constant

1.Introduction: 2. The Model. Key words: Prey, Predator, Seasonality, Stability, Bifurcations, Chaos.

Research Article Solvability for a Coupled System of Fractional Integrodifferential Equations with m-point Boundary Conditions on the Half-Line

Some identities related to Riemann zeta-function

Optimal harvesting policy of a stochastic delay predator-prey model with Lévy jumps

DYNAMICS IN 3-SPECIES PREDATOR-PREY MODELS WITH TIME DELAYS. Wei Feng

x 2 F 1 = 0 K 2 v 2 E 1 E 2 F 2 = 0 v 1 K 1 x 1

Extinction and the Allee Effect in an Age Structured Population Model

Fourier series of sums of products of ordered Bell and poly-bernoulli functions

Multiplesolutionsofap-Laplacian model involving a fractional derivative

Boundary value problems for fractional differential equations with three-point fractional integral boundary conditions

Global Qualitative Analysis for a Ratio-Dependent Predator Prey Model with Delay 1

JOURNAL OF MATH SCIENCES -JMS- Url: Jl. Pemuda, No. 339 Kolaka Southeast Sulawesi, Indonesia

Stochastic Viral Dynamics with Beddington-DeAngelis Functional Response

Research Article The Stability of Gauss Model Having One-Prey and Two-Predators

Lyapunov-type inequalities and disconjugacy for some nonlinear difference system

A general theorem on the stability of a class of functional equations including quadratic additive functional equations

Research Article Multiple Periodic Solutions of a Nonautonomous Plant-Hare Model

Available online at J. Math. Comput. Sci. 4 (2014), No. 5, ISSN:

Existence and multiplicity of positive solutions of a one-dimensional mean curvature equation in Minkowski space

Research Article Permanence of a Discrete Predator-Prey Systems with Beddington-DeAngelis Functional Response and Feedback Controls

Workshop on Theoretical Ecology and Global Change March 2009

New results on the existences of solutions of the Dirichlet problem with respect to the Schrödinger-prey operator and their applications

On modeling two immune effectors two strain antigen interaction

Research Article A Novel Differential Evolution Invasive Weed Optimization Algorithm for Solving Nonlinear Equations Systems

DISSIPATION CONTROL OF AN N-SPECIES FOOD CHAIN SYSTEM

On the split equality common fixed point problem for quasi-nonexpansive multi-valued mappings in Banach spaces

Lecture 20/Lab 21: Systems of Nonlinear ODEs

GENERALIZATION OF GRONWALL S INEQUALITY AND ITS APPLICATIONS IN FUNCTIONAL DIFFERENTIAL EQUATIONS

On the stabilizing effect of specialist predators on founder-controlled communities

Stability and Hopf bifurcation of a ratio-dependent predator prey model with time delay and stage structure

Jacobi spectral collocation method for the approximate solution of multidimensional nonlinear Volterra integral equation

Model Stability Analysis of Marine Ecosystem

Equilibrium points, stability and numerical solutions of fractional-order predator prey and rabies models

Iterative common solutions of fixed point and variational inequality problems

Qualitative and Quantitative Approaches in Dynamics of Two Different Prey-Predator Systems

Research Article Almost Periodic Solutions of Prey-Predator Discrete Models with Delay

A Stochastic Viral Infection Model with General Functional Response

Runge-Kutta Method for Solving Uncertain Differential Equations

The iterative methods for solving nonlinear matrix equation X + A X 1 A + B X 1 B = Q

Extensions of interpolation between the arithmetic-geometric mean inequality for matrices

Analysis of a delayed predator-prey model with ratio-dependent functional response and quadratic harvesting. Peng Feng

Additive functional inequalities in Banach spaces

Transcription:

Zhao et al. Advances in Difference Equations 08 08:7 https://doi.org/0.86/s366-08-68-5 R E S E A R C H Open Access ermanence and global stability of a May cooperative system with strong and weak cooperative partners Liang Zhao * BinQin and Fengde Chen * Correspondence: zhaoliang00809@yeah.net College of Information and Statistics Guangxi University of Finance and Economics Nanning.R. China Full list of author information is available at the end of the article Abstract In this paper a May cooperative system with strong and weak cooperative partners is proposed. First by using differential inequality theory we obtain the permanence and non-permanence of the system. Second we discuss the existence of the positive equilibrium point and boundary equilibrium point after that by constructing suitable Lyapunov functions it is shown that the equilibrium points are globally asymptotically stable in the positive octant. Finally examples together with their numerical simulations show the feasibility of the main results. MSC: 34C05; 34C5 Keywords: Cooperative system; Strong; Weak; Global stability Introduction Cooperative system is an important system in the field of biology and the importance of the system is the same as for prey predator and competitive systems. Many scholars have done research on the cooperative ecosystem see []. May []describedacooperative system with the following equations: dx = r x x c x a + b x. dx = r x x a + b x c x where x x are the densities of the species x x at time t respectivelyr i refers to the intrinsic rate of population x i i =andb i i = refers to the coefficients of cooperation r i a i b i c i i = are positive constants. His research shows that the cooperative system has a unique positive equilibrium point and it is globally asymptotically stable. Cui and Chen [] think that a non-autonomous form is more reasonable. They put forward the following cooperation system: dx = r x tx c tx a t+b tx. dx = r x tx c tx a t+b tx The Authors 08. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ which permits unrestricted use distribution and reproduction in any medium provided you give appropriate credit to the original authors and the source provide a link to the Creative Commons license and indicate if changes were made.

Zhao et al. Advances in Difference Equations 08 08:7 age of 3 where the function r i t a i t b i t c i t i = are continuous functions and bounded above and below by positive constants. Under the premise of r i t a i t b i t c i t i = are periodic function they get the sufficient conditions which guarantee the global asymptotic stability of positive periodic solutions of this system. In view of the influence of time delay species interactions and feedback Chen Liao and Huang [3] proposed the following n-species cooperationsystem: dx i t du i t [ = r i tx i t a i t+ n j=j i b ijt 0 ] x i t T ij K ij sx j t + s ds c itx i t 0 d i tu i tx i t e i tx i t H i su i t + s ds τ i 0 = α i tu i t+β i tx i t+r i t G i sx i t + s ds η i.3 where x i t i =...nis the density of cooperation species X i u i t i =...n is the feedback control variable. The authors obtained the sufficient conditions which guarantee the permanence by using differential inequality theory. For more work as regards the system we can refer to [4 6]. In the real world individual organisms are associated with a strong and weak differential. Mohammadi [3] proposed a Leslie Gower predator prey model: d = b αh dh d = =α c c H r a H.4 where b α c c r a are positive constants the predators can distinguish between strong and weak prey and predator eats only weak prey when a prey becomes weak it does not become strong again; by constructing a suitable Lyapunov function it is shown that the unique equilibrium point is stable in the positive octant. Conversely in many cooperative ecosystems partners like strong partners because the strong partners are more conducive to their survival. This shows that the cooperative object should only be part instead of the whole. There are two populations: The partner H whosetotaldensityish is divided into two categories H. denotes the strong partner density and H denotes the weak. Of the other partner the total density is. The May cooperative model. is our basic model and we consider the following assumptions to improve the model: A The partner can distinguish between strong partner and weak partner H and the partner cooperates only with strong partner. A When provided with food resources the weak partner H has no negative influence on the stronger partner that is to say the weak partners can only eat the food after thestrongoneshaveusedenough.

Zhao et al. Advances in Difference Equations 08 08:7 age 3 of 3 A 3 Due to the lack of sufficient food resources once it becomes weak the weak partner H and their descendants will no longer be strong. A 4 The rate of becoming weak is described by the simple mass action α H. By the above assumptions we propose a model as follows: d = c αh dh d = r = H α + d eh c.5 where r i a i b i c i d i = are positive constants. The structureof this articleasfollows. In Sect. we will introduce several useful lemmas and prove permanence and non-permanence. In Sect. 3 we will discuss the existence of the equilibrium point. In Sect. 4 global stability of equilibrium points is studied. In Sect. 5 two examples are given to show the feasibility of our results. We end this paper by a brief discussion. ermanence and non-permanence In view of the actual ecological implications of system.5 we assume that the initial value H i 0 > 0 i =0 > 0 in system.5. Obviously any solution of system.5 remains positive for all t 0. Lemma. see [4] Let a >0b >0. I If dx xb ax then lim inf t + xt b for t 0 and x0 > 0. a II If dx xb ax then lim sup t + xt b for t 0 and x0 > 0. a Lemma. see [5] Let a >0b >0. If dx x b ax then lim t + xt=0for t 0 and x0 > 0. Theorem. If the assumptions B and B hold B M = αd e >0 α a c +b ea c c +b c +c B > then system.5 is permanent. roof Let t H t t T be any positive solution of system.5 from the second equation of system.5 it followsthat dh H d eh. According to Lemma.we have lim inf H t d def = H t + i > 0.. e

Zhao et al. Advances in Difference Equations 08 08:7 age 4 of 3 For any positive constant ε small enough it follows from. that there exists a large enough T >0suchthat H t>h i ε t T.. From the third equation we have d r c. According to Lemma.we have lim sup t def = s > 0..3 t + c For any positive constant ε small enough it follows from.3 that there exists a large enough T > T such that t s + ε t T..4 By applying.and.4 from the first equation of system.5 we have d According to Lemma.we have s + ε c αhi ε t T. lim sup t αhi ε s + ε t + +a c + b c s + ε. Letting ε 0 and by applying.and.3 a c + b lim sup t M def = H s > 0..5 t + a c c + b c + c For any positive constant ε small enough it follows from.5 that there exists a large enough T 3 > T such that t H s + ε t T 3..6 Then the second equation of.5leads to dh H α H s + ε + d eh t T3. According to Lemma.we have lim sup t + H t αhs + ε+d. e

Zhao et al. Advances in Difference Equations 08 08:7 age 5 of 3 Letting ε 0 in the above inequality leads to lim sup H t αhs + d def = H s t + e..7 For any positive constant ε small enough it follows from.7 that there exists a large enough T 4 > T 3 such that H t H s + ε t T 4..8 Then substituting.8 into the first equation of.5 we have d c αhs + ε t T 4. a According to Lemma.we have lim inf t αhs + ε a t + a c +. Letting ε 0 and by applying.5and.7 lim inf t M α H s def = H t + i > 0..9 e From the third equation of system.5 it follows that d r c. a According to Lemma.we have lim inf t a def = i..0 t + a c +..3.5.7.9 and.0 show that if the assumptions B B holdthen system.5ispermanent. Theorem. If the assumption B 3 holds B 3 M = αd e <0 then the weak partners H and partners are permanent the strong partners are nonpermanent. roof Let t H t T be any positive solutions of system.5fort 0. From the proof Theorem.weknow d s + ε c αhi ε t T. Noting that condition B 3 impliesthat αhi ε <0.

Zhao et al. Advances in Difference Equations 08 08:7 age 6 of 3 According to Lemma.we have lim t + t = 0.. By applying. from the second equation of system.5 it is easy to prove that lim t + H t= d e...3.0.and. show that if the assumptions B 3 hold then the weak partners H and partners are permanent the strong partners are non-permanent. 3 Existence of equilibrium point Theorem 3. If the assumption B holds then system.5 have a unique positive equilibrium point. roof We determine the positive equilibrium of the system.5 through solving the following equations: a +b c αh =0 α + d eh =0 a +b c =0. 3. Here we transform Eqs. 3. into the following form: H a +b c =0 a +b c =0 α + d eh =0 3. where a = Ma b = Mb c =c + αd /M from the first and second equations of 3. e we have DH + E + F = 0 3.3 where D = b a c c + b c + c F = a a c + b + E = [ a c ++c a + a a c + a b b a c + b ]. From the terms D and F of 3.3 we know that there is a unique positive solutions H. Substitute H into the second and third equations of 3.. Then system.5hasaunique positive equilibrium point E H H. Theorem 3. Clearly the system.5 has an equilibrium point E 0 H.

Zhao et al. Advances in Difference Equations 08 08:7 age 7 of 3 4 Global stability Theorem 4. If the assumptions B and B 4 hold B 4 α < a c e a +b H s then the positive equilibrium of system.5 is globally asymptotically stable. roof Inspired by the idea of Li Han and Chen [7]andLeon[8] the following Lyapunov function is presented: We define L : { H R 3 + : >0H >0 >0} R by L H =η H H θ H a + b θθ dθ + η θ a + b θθ dθ + η 3 H H H ln H H where η = η = b H a + b H /r b η 3 =/a. The function L H is defined continuous and positive definite for all H > 0. and the minimum L H = 0 occurs at the equilibrium point H H T. Calculating the derivative of L along the solution t H t t T of the system.5 we have where dl = η H c αh + η 3 H H αh + d eh + η r = η H αh H c H H + η 3 H H α H H e H H c + + η r = η H αh H c + H a + b H H c H H b H + + η r c + At+Bt At= η b H + + η r b a + b H α Bt= H H + η 3 H H α H H e H H b H a + b H η H H η r H H H H c H H + η 3 α H H H η3 e H H. Now we prove At Bt are negative definite.

Zhao et al. Advances in Difference Equations 08 08:7 age 8 of 3 Let At def = a +b a +b Y T AY where Y = H T and η η b H A = a +b + η r b η b H a +b + η r b a +b H η r a +b H. 4. Note first that both of the off-diagonal elements of matrix A are negative and η b H η η r + η r b a + b H = η η r b H = η η r b H thus At 0. Noting that ab θa + b θ b a + b H b a + b H θ > 0 it follows + >0 η b H η r b a + b H α Bt H H θ + H H r c H H θ θ + η 3α H H θ r c a + b H s η 3 αθ + H H η3 e H H α η 3α a θ θ η 3 e η 3αθ αθ a H H H H. Denote δ = c a +b H s α a θ η 3α θ and δ = η 3 c η 3αθ αθ a.thentaking η 3 = αea +αeb H s θ = θ = a a c c + a α + b H sα gives δ = ea c e a α b H s α a a c e + a α + b H s α δ = a c e a α b H s α a ea + b H s. From B 4 we know that δ i >0i =.ItiseasytoseethatBt 0. Obvious dl <0forallH >0H >0 > 0 except the equilibrium point H H where dl = 0. According to the Lyapunov asymptotic stability theorem [9] the equilibrium point H H is globally asymptotically stable in the interior of R 3 +.Thiscompletesthe proof. Theorem 4. If the assumptions B 3 and B 5 hold B 5 α < c e then the equilibrium point E 0 H system is globally asymptotically stable.

Zhao et al. Advances in Difference Equations 08 08:7 age 9 of 3 roof We define L : { H R 3 + : >0H >0 >0} R by L H =η H 0 a + b θ dθ + η θ a + b θθ dθ + η 3 H H H ln H H where η =η = a /r b η 3 =/a. The function L H is defined continuous and positive definite for all H > 0. and the minimum L H =0occurs at the equilibrium point H H T. Calculating the derivative of L along the solution t H t t T of the system.5 we have where dl = η + η r = η + η r c αh c αh H c + η 3 H H α eh H c + a = η αh H c + η 3 H H α eh H + η r Ct+Dt Ct= α Dt= η 3 α + η 3 H H α + d eh c + b a η H η r + η r b a H H Now we prove Ct Dt isnegativedefinite. Let Ct def = a +b a +b Y T CY where Y = T c H η 3eH H. η η r r b a C = η r b. 4. a η r Note first that both of the off-diagonal elements of matrix A are negative and η r b η η r = η r η η r b a 4a = 3η r >0 4 thus Ct 0.

Zhao et al. Advances in Difference Equations 08 08:7 age 0 of 3 Noting that ab θa + b θ θ >0from. for sufficiently small constant ε 0 >0there is an integer T >0suchthatift > T b t<ε 0 it follows that α Bt H θ + θ H H c H + η 3α H θ + η 3αθ H H η 3 eh H r c α η 3α H a + ε 0 a θ θ η 3 e η 3αθ αθ H H. a Denote δ = c a +ε 0 α a θ η 3α θ and δ = η 3 c η 3αθ αθ a.thentaking gives η 3 = a θ = θ = αea +αeε 0 a c c + a + α ε 0 δ = ea c e a α α ε 0 a a c e + a α + α ε 0 δ = a c e a α α ε 0. a ea + ε 0 From B 5 we know that for sufficiently small constant ε 0 >0δ i >0i =.Itiseasyto see that Dt 0. Obviously dl <0forallH >0H >0 > 0 except the equilibrium point 0 H where dl = 0. According to the Lyapunov asymptotic stability theorem [9] the equilibrium point 0 H is globally asymptotically stable in the interior of R 3 +.Thiscompletesthe proof. 5 Example and numeric simulation Consider the following system: d =3 + H 0 dh d = = H 0.3 + H.5. +0.8 5. By calculation we have M = αd e =0.9>0α =0.09<8< a c e a +b H s anditiseasytosee that the conditions B andb 4 are verified. It follows from Theorem 4. that there is a unique positive equilibrium point H H = 0.383868.057580 0.57 of system 5. and it is globally asymptotically stable. Our numerical simulation supports our result see Fig..

Zhao et al. Advances in Difference Equations 08 08:7 age of 3 Figure Dynamical behavior of system 5. with initial values 0.4. 0.7 T 0. 0.8 0. T and 0.5 0.6 0.3 T Consider the following system: d =3 + 3.5H 3 dh d = = H 3.5 + H.5. +0.8 5. By calculation we have M = αd e = 0.<0α = 0.89 < a c e a +b H s =itiseasyto see that the conditions B 3 andb 5 are verified. It follows from Theorem 3. that there is a unique positive equilibrium point H = 00.5 of system 5. anditis globally asymptotically stable. Our numerical simulation supports our result see Fig.. 6 Discussion In this paper a May cooperative system with strong and weak cooperative partners is studied. We obtained the sufficient conditions that guarantee the permanence nonpermanence and the global stability of the equilibrium points. By comparing the conditions of B andb 3 we found that as α becomes larger and larger the strong partner changes from persistent to extinct. The ecological explanation is that more and more the strong partner become a weak partner thus we have extinction of the strong. The above numerical simulations also supports this conclusion. At the end of this paper we point out that conditions B andb 3 can be weakened or even are unnecessary. This problem is very interesting and worthy of further study in the future.

Zhao et al. Advances in Difference Equations 08 08:7 age of 3 Figure Dynamical behavior of system 5. with initial values 0.4.4 0.8 T 0. 0.9 0.3 T and. 0.5 0. T Acknowledgements The research was supported by Guangxi College Enhancing Youth s Capacity roject 07KY0599 and the Scientific Research Development Fund of Young Researchers of Guangxi University of Finance and Economics 07QNB8. Competing interests The authors declare that there is no conflict of interests. Authors contributions All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript. Author details College of Information and Statistics Guangxi University of Finance and Economics Nanning.R. China. College of Mathematics and Computer Science Fuzhou University Fuzhou.R. China. ublisher s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Received: 9 January 08 Accepted: May 08 References. May R.M.: Theoretical Ecology rinciples and Applications. Sounders hiladelphia 976. Cui J.A. Chen L.S.: Global asymptotic stability in a nonautonomous cooperative system. Syst. Sci. Math. Sci. 6 44 5 993 3. Chen F.D. Liao X.Y. Huang Z.K.: The dynamic behavior of N-species cooperation system with continuous time delays and feedback controls. Appl. Math. Comput. 8 803 85 006 4. Chen L.J. Xie X.D.: ermanence of an N-species cooperation system with continuous time delays and feedback controls. Nonlinear Anal. Real World Appl. 34 38 0 5. Nasertayoob. Vaezpour S.M.: ermanence and existence of positive periodic solution for a multi-species cooperation system with continuous time delays feedback control and periodic external source. Adv. Differ. Equ. 0 Article ID 56 0 6. Muhammadhaji A. Teng Z.D. Abdurahman X.: ermanence and extinction analysis for a delayed ratio-dependent cooperative system with stage structure. Afr. Math. 54897 909 04 7. Li Z. Han M.A. Chen F.D.: Influence of feedback controls on an autonomous Lotka Volterra competitive system with infinite delays. Nonlinear Anal. Real World Appl. 440 43 03 8. Leon C.V.D.: Lyapunov functions for two-species cooperative systems. Appl. Math. Comput. 95 493 497 0 9. Yang K. Miao Z.S. Chen F.D. Xie X.D.: Influence of single feedback control variable on an autonomous Holling-II type cooperative system. J. Math. Anal. Appl. 435874 888 06 0. Miao Z.S. Xie X.D. u L.Q.: Dynamic behaviors of a periodic Lotka Volterra commensal symbiosis model with impulsive. Commun. Math. Biol. Neurosci. 05 Article ID 3 05

Zhao et al. Advances in Difference Equations 08 08:7 age 3 of 3. Xie X.D. Miao Z.S. Xue Y.L.: ositive periodic solution of a discrete Lotka Volterra commensal symbiosis model. Commun. Math. Biol. Neurosci. 05 Article ID 05. Wu R.X. Lin L. Zhou X.Y.: A commensal symbiosis model with Holling type functional response. J. Math. Comput. Sci. 6 364 37 06 3. Mohammadi H. Mahzoon M.: Effect of weak prey in Leslie Gower predator prey model. Appl. Math. Comput. 44 96 04 03 4. Chen F.D.: On a nonlinear nonautonomous predator prey model with diffusion and distributed delay. Comput. Appl. Math. 80 33 49 005 5. Chen F.D. Chen W.L. Wu Y.M. Ma Z.Z.: ermanence of a stage-structured predator prey system. Appl. Math. Comput. 978856 8864 03