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Volume 2010, Article ID 931798,7pages doi:10.1155/2010/931798

Research Article

Permanence of a Discrete Model of Mutualism with Infinite Deviating Arguments

Xuepeng Li and Wensheng Yang

School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, Fujian 350007, China

Correspondence should be addressed to Wensheng Yang,[email protected] Received 15 July 2009; Accepted 13 January 2010

Academic Editor: Binggen Zhang

Copyrightq2010 X. Li and W. Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

We propose a discrete model of mutualism with infinite deviating arguments, that isx1n1 x1nexp{r1nK1nα1n

s0J2sx2n−s/1

s0J2sx2n−s−x1n−σ1n}, x2n 1 x2nexp{r2nK2n α2n

s0J1sx1n−s/1

s0J1sx1n−sx2n−σ2n}.

By some Lemmas, sufficient conditions are obtained for the permanence of the system.

1. Introduction

Chen and You1studied the following two species integro-differential model of mutualism:

dN1t

dt r1tN1t

K1t α1t

0 J2sN2t−sds 1

0 J2sN2t−sdsN1t−σ1t

,

dN2t

dt r2tN2t

K2t α2t

0 J1sN1t−sds 1

0 J1sN1t−sdsN2t−σ2t

,

1.1

whereri, Ki, αi, andσi, i1,2 are continuous functions bounded above and below by positive constants: ai > Ki, i 1,2; JiC0,∞,0,∞ and

0Jisds 1, i 1,2.Using the differential inequality theory, they obtained a set of sufficient conditions to ensure the permanence of system1.1. For more background and biological adjustments of system1.1, one could refer to1–4and the references cited therein.

However, many authors5–12have argued that the discrete time models governed by difference equations are more appropriate than the continuous ones when the populations have nonoverlapping generations. Also, since discrete time models can also provide efficient

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computational models of continuous models for numerical simulations, it is reasonable to study discrete time models governed by difference equations. Another permanence is one of the most important topics on the study of population dynamics. One of the most interesting questions in mathematical biology concerns the survival of species in ecological models. It is reasonable to ask for conditions under which the system is permanent.

Motivated by the above question, we consider the permanence of the following discrete model of mutualism with infinite deviating arguments:

x1n1 x1nexp

r1n

K1n α1n

s0J2sx2n−s 1

s0J2sx2n−sx1n−σ1n ,

x2n1 x2nexp

r2n

K2n α2n

s0J1sx1n−s 1

s0J1sx1n−sx2n−σ2n ,

1.2

where xin, i 1,2 is the density of mutualism species i at the nth generation. For {rin},{Kin},{αin},{Jin}, and{σin}, i 1,2 are bounded nonnegative sequences such that

0< rilriu, 0< αliαui, 0< KilKiu, 0< σilσiu, n0

Jin 1. 1.3

Here, for any bounded sequence{an},ausupn∈Nan, alinfn∈Nan.

Let σ supnin, i 1,2},we consider1.2 together with the following initial condition:

xiθ ϕiθ≥0, θN−τ,0 {−τ,−τ1, . . . ,0}, ϕi0>0. 1.4 It is not difficult to see that solutions of1.2and1.4are well defined for alln≥ 0 and satisfy

xin>0, for nZ, i1,2. 1.5 The aim of this paper is, by applying the comparison theorem of difference equation and some lemmas, to obtain a set of sufficient conditions which guarantee the permanence of system1.2.

2. Permanence

In this section, we establish permanence results for system1.2.

Following Comparison Theorem of difference equation is Theorem2.6 of 13, page 241.

Lemma 2.1. LetkNk

0 {k0, k0 1, . . . , k0l, . . .}, r0. For any fixedk, gk, r is a non- decreasing function with respect to r, and for kk0, following inequalities hold: yk 1 ≤ gk, yk, uk1≥gk, uk.Ifyk0uk0, thenykukfor allkk0.

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Now let us consider the following single species discrete model:

Nk1 Nkexp{ak−bkNk}, 2.1

where{ak}and{bk}are strictly positive sequences of real numbers defined forkN {0,1,2, . . .}and 0< alau,0< blbu. Similar to the proof of Propositions 1 and 3 in6, we can obtain the following.

Lemma 2.2. Any solution of system2.1with initial conditionN0>0 satisfies m≤ lim

kinfNk≤ lim

k→∞supNkM, 2.2

where

M 1

bl exp{au−1}, m al bu exp

albuM

. 2.3

Lemma 2.3see14. Letxnand bnbe nonnegative sequences defined onN, andc0 is a constant. If

xncn−1

s0

bsxs, fornN, 2.4

then

xnc n−1

s0

1bs, fornN. 2.5

Lemma 2.4see2. Letx:ZRbe a nonnegative bounded sequences, and letH:NRbe a nonnegative sequence such that

n0Jin 1. Then

nlim→∞infxn≤ lim

n→inf n

s−∞Hnsxs

≤ lim

n→sup

n s−∞

Hnsxs≤ lim

n→∞supxn.

2.6

Proposition 2.5. Letx1n, x2nbe any positive solution of system1.2, then

nlim→∞supxin≤Mi, i1,2, 2.7

where

Miexp 2riu

Kiuαui

, i1,2. 2.8

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Proof. Letx1n, x2nbe any positive solution of system1.2, then from the first equation of system1.2we have

x1n1≤x1nexp

r1n

K1n α1n

s0J2sx2n−s 1

s0J2sx2n−s x1nexp

r1n

K1n 1

s0J2sx2n−1n

s0J2sx2n−s 1

s0J2sx2n−s

x1nexp

r1n K1n

1 α1n

s0J2sx2n−s

s0J2sx2n−s x1nexp{r1nK1n α1n}

x1nexp r1u

K1uαu1 .

2.9

Letx1n exp{u1n}, then

u1n1≤u1n r1u

K1uαu1 r1u

K1uαu1 n

s0

bsxs, 2.10

where

bs

⎧⎨

0, 0≤sn−1,

1, sn. 2.11

Whenu1nis nonnegative sequence, by applying Lemma2.3, it immediately follows that

u1n1≤2r1u

Ku1αu1

. 2.12

Whenu1nis negative sequence,2.12also holds. From2.12, we have

nlim→∞supx1n≤exp 2r1u

K1uαu1

:M1. 2.13

By using the second equation of system1.2, similar to the above analysis, we can obtain

nlim→∞supx2n≤exp 2r2u

K2uαu2

:M2. 2.14

This completes the proof of Proposition2.5.

Now we are in the position of stating the permanence of system1.2.

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Theorem 2.6. Under the assumption1.3, system 1.2 is permanent, that is, there exist positive constantsmi, Mi, i 1,2 which are independent of the solutions of system1.2such that, for any positive solutionx1n, x2nof system1.2with initial condition1.4, one has

mi≤ lim

n→∞infxin≤ lim

nsupxin≤Mi, i1,2. 2.15

Proof. By applying Proposition2.5, we see that to end the proof of Theorem2.6it is enough to show that under the conditions of Theorem2.6

nlim→∞infxin≥mi. 2.16

From Proposition2.5, For allε >0, there exists aN1>0, N1N,For alln > N1,

xin≤Miε. 2.17

According to Lemma2.4, from2.13and2.14we have

nlim→∞sup s0

Jisxin−s lim

n→∞sup

n k−∞

Jin−kxik≤Mi, i1,2. 2.18

For aboveε >0, according to2.18, there exists a positive integerN2, such that, for alln > N2,

s0

Jisxin−sMiε, i1,2. 2.19

Thus, for alln > max{N1, N2}σ, from the first equation of system1.2, it follows that

x1n1≥x1nexp

r1n

Kl1

1 M2ε−M1ε

x1nexp

r1lK1l

1 M2εr1uM1ε

.

2.20

It follows that, fornσ1n, n−1

in−σ1n

x1i1≥ n−1

in−σ1n

x1iexp

r1lK1l

1 M2εr1uM1ε

. 2.21

Hence

x1n≥x1n−σ1nexp

r1lKl1

1 M2εσ1lr1uM1εσ1u

. 2.22

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In other words,

x1n−σ1n≤x1nexp

r1lK1l

1 M2εσ1lr1uM1εσ1u

. 2.23

From the first equation of system1.2and2.23, for alln > max{N1, N2}σ, it follows that

x1n1≥x1nexp

r1lKl1

1 M2εr1uexp

r1lKl1

1 M2εσ1lr1uM1εσ1u

x1n

. 2.24 By applying Lemmas2.1and2.2to2.24, it immediately follows that

nliminfx1n≥ r1lK1l

r1u1 M2εexp

r1lK1l

1 M2εσ1lr1uM1εσ1u

×exp

r1lKl1

1 M2εr1uexp

r1lKl1

1 M2εσ1l r1uM1εσ1u

M1

. 2.25 Settingε → 0, it follows that

nliminfx1n≥ r1lKl1 r1u1M2exp

r1lK1l 1M2

σ1lr1uM1σ1u

×exp

r1lKl1

1M2r1uexp

r1lKl1

1M2σ1lr1uM1σ1u

M1

.

2.26

Similar to the above analysis, from the second equation of system1.2, we have that

nliminfx2n≥ r2lKl2 r2u1M1exp

r2lK2l

1M1σ2lr2uM2σ2u

×exp

r2lKl2

1M1r2uexp

r2lKl2

1M1σ2lr2uM2σ2u

M2

.

2.27

This completes the proof of Theorem2.6.

References

1 F. D. Chen and M. S. You, “Permanence for an integrodifferential model of mutualism,” Applied Mathematics and Computation, vol. 186, no. 1, pp. 30–34, 2007.

2 F. D. Chen, “Permanence in a discrete Lotka-Volterra competition model with deviating arguments,”

Nonlinear Analysis: Real World Applications, vol. 9, no. 5, pp. 2150–2155, 2008.

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3 Y. K. Li and G. T. Xu, “Positive periodic solutions for an integrodifferential model of mutualism,”

Applied Mathematics Letters, vol. 14, no. 5, pp. 525–530, 2001.

4 P. Yang and R. Xu, “Global asymptotic stability of periodic solution in n-species cooperative system with time delays,” Journal of Biomathematics, vol. 13, no. 6, pp. 841–846, 1998.

5 R. P. Agarwal, Difference Equations and Inequalities: Theory, Method and Applications, vol. 228 of Monographs and Textbooks in Pure and Applied Mathematics, Marcel Dekker, New York, NY, USA, 2nd edition, 2000.

6 F. D. Chen, “Permanence and global attractivity of a discrete multispecies Lotka-Volterra competition predator-prey systems,” Applied Mathematics and Computation, vol. 182, no. 1, pp. 3–12, 2006.

7 X. Chen and F. D. Chen, “Stable periodic solution of a discrete periodic Lotka-Volterra competition system with a feedback control,” Applied Mathematics and Computation, vol. 181, no. 2, pp. 1446–1454, 2006.

8 Y. K. Li and L. H. Lu, “Positive periodic solutions of discreten-species food-chain systems,” Applied Mathematics and Computation, vol. 167, no. 1, pp. 324–344, 2005.

9 Y. Muroya, “Persistence and global stability in Lotka-Volterra delay differential systems,” Applied Mathematics Letters, vol. 17, no. 7, pp. 795–800, 2004.

10 Y. Muroya, “Partial survival and extinction of species in discrete nonautonomous Lotka-Volterra systems,” Tokyo Journal of Mathematics, vol. 28, no. 1, pp. 189–200, 2005.

11 X. T. Yang, “Uniform persistence and periodic solutions for a discrete predator-prey system with delays,” Journal of Mathematical Analysis and Applications, vol. 316, no. 1, pp. 161–177, 2006.

12 F. D. Chen, “Permanence for the discrete mutualism model with time delays,” Mathematical and Computer Modelling, vol. 47, no. 3-4, pp. 431–435, 2008.

13 L. Wang and M. Q. Wang, Ordinary Difference Equation, Xinjiang University Press, Xinjiang, China, 1991.

14 Y. Takeuchi, Global Dynamical Properties of Lotka-Volterra Systems, World Scientific, River Edge, NJ, USA, 1996.

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