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−s−x2n−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−sds −N1t−σ1t
,
dN2t
dt r2tN2t
K2t α2t∞
0 J1sN1t−sds 1∞
0 J1sN1t−sds −N2t−σ2t
,
1.1
whereri, Ki, αi, andσi, i1,2 are continuous functions bounded above and below by positive constants: ai > Ki, i 1,2; Ji ∈ C0,∞,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
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−s −x1n−σ1n ,
x2n1 x2nexp
r2n
K2n α2n∞
s0J1sx1n−s 1∞
s0J1sx1n−s −x2n−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< ril≤riu, 0< αli≤αui, 0< Kil≤Kiu, 0< σil≤σiu, ∞ n0
Jin 1. 1.3
Here, for any bounded sequence{an},ausupn∈Nan, alinfn∈Nan.
Let σ supn{σin, i 1,2},we consider1.2 together with the following initial condition:
xiθ ϕiθ≥0, θ∈N−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 n∈Z, 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. Letk ∈ Nk
0 {k0, k0 1, . . . , k0l, . . .}, r ≥ 0. For any fixedk, gk, r is a non- decreasing function with respect to r, and for k ≥ k0, following inequalities hold: yk 1 ≤ gk, yk, uk1≥gk, uk.Ifyk0≤uk0, thenyk≤ukfor allk≥k0.
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 fork∈N {0,1,2, . . .}and 0< al≤au,0< bl ≤bu. 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
k→∞infNk≤ lim
k→∞supNk≤M, 2.2
where
M 1
bl exp{au−1}, m al bu exp
al−buM
. 2.3
Lemma 2.3see14. Letxnand bnbe nonnegative sequences defined onN, andc ≥ 0 is a constant. If
xn≤cn−1
s0
bsxs, forn∈N, 2.4
then
xn≤c n−1
s0
1bs, forn∈N. 2.5
Lemma 2.4see2. Letx:Z → Rbe a nonnegative bounded sequences, and letH:N → Rbe a nonnegative sequence such that∞
n0Jin 1. Then
nlim→∞infxn≤ lim
n→∞inf n
s−∞Hn−sxs
≤ lim
n→∞sup
n s−∞
Hn−sxs≤ 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
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−sα1n∞
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≤s≤n−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.
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
n→∞supxin≤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, N1∈N,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−s≤Miε, 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 M2ε−r1uM1ε
.
2.20
It follows that, forn≥σ1n, n−1
in−σ1n
x1i1≥ n−1
in−σ1n
x1iexp
r1lK1l
1 M2ε−r1uM1ε
. 2.21
Hence
x1n≥x1n−σ1nexp
r1lKl1
1 M2εσ1l −r1uM1εσ1u
. 2.22
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 M2ε−r1uexp
− r1lKl1
1 M2εσ1lr1uM1εσ1u
x1n
. 2.24 By applying Lemmas2.1and2.2to2.24, it immediately follows that
nlim→∞infx1n≥ r1lK1l
r1u1 M2εexp
r1lK1l
1 M2εσ1l−r1uM1εσ1u
×exp
r1lKl1
1 M2ε−r1uexp
− r1lKl1
1 M2εσ1l r1uM1εσ1u
M1
. 2.25 Settingε → 0, it follows that
nlim→∞infx1n≥ r1lKl1 r1u1M2exp
r1lK1l 1M2
σ1l −r1uM1σ1u
×exp
r1lKl1
1M2 −r1uexp
− r1lKl1
1M2σ1lr1uM1σ1u
M1
.
2.26
Similar to the above analysis, from the second equation of system1.2, we have that
nlim→∞infx2n≥ r2lKl2 r2u1M1exp
r2lK2l
1M1σ2l −r2uM2σ2u
×exp
r2lKl2
1M1 −r2uexp
− r2lKl2
1M1σ2lr2uM2σ2u
M2
.
2.27
This completes the proof of Theorem2.6.
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