Research Article A Lotka-Volterra Competition Model with Cross-Diffusion

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Hindawi Publishing Corporation
Abstract and Applied Analysis
Volume 2013, Article ID 624352, 5 pages
http://dx.doi.org/10.1155/2013/624352
Research Article
A Lotka-Volterra Competition Model with Cross-Diffusion
Wenyan Chen and Ya Chen
Department of Mathematics, Southeast University, Nanjing 210018, China
Correspondence should be addressed to Wenyan Chen; wychen@seu.edu.cn
Received 9 October 2012; Revised 24 January 2013; Accepted 29 January 2013
Academic Editor: Lan Xu
Copyright © 2013 W. Chen and Y. Chen. 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.
A Lotka-Volterra competition model with cross-diffusions under homogeneous Dirichlet boundary condition is considered, where
cross-diffusions are included in such a way that the two species run away from each other because of the competition between them.
Using the method of upper and lower solutions, sufficient conditions for the existence of positive solutions are provided when the
cross-diffusions are sufficiently small. Furthermore, the investigation of nonexistence of positive solutions is also presented.
1. Introduction
In this paper, we deal with the following Lotka-Volterra
competition model with cross-diffusions:
−Δ (𝑒 + 𝛼V) = 𝑒 (π‘Ž − 𝑒 − 𝑐V) ,
π‘₯ ∈ Ω,
−Δ (𝛽𝑒 + V) = V (𝑏 − V − 𝑑𝑒) ,
π‘₯ ∈ Ω,
𝑒 = V = 0,
(1)
π‘₯ ∈ πœ•Ω,
where Ω is a bounded domain in R𝑁 with smooth boundary
πœ•Ω and all parameters π‘Ž, 𝑏, 𝑐, 𝑑, 𝛼, 𝛽 are positive constants.
𝑒 and V stand for the densities of the two competitors; π‘Ž
and 𝑏 are the intrinsic growth rates of 𝑒 and V, respectively;
𝑐 and 𝑑 are the competitive parameters between the two
species; Here 𝛼 and 𝛽 are referred to as cross-diffusions.
Cross-diffusions express the two species run away from each
other because of the competition between them. In this paper,
the boundary condition is under homogeneous Dirichlet
boundary condition which in biologically means that the
boundary is not suitable for both species and they will all die
on the boundary, and this is an ideal case.
In order to describe the meaning of cross-diffusions in
this model (1) from the biological point, we give the general
model with intrinsic diffusion and cross-diffusion:
πœ•π‘’
= div {π‘˜11 (𝑒, V) ∇𝑒 + π‘˜12 (𝑒, V) ∇V} + 𝑓 (𝑒, V) ,
πœ•π‘‘
(2)
πœ•V
= div {π‘˜21 (𝑒, V) ∇𝑒 + π‘˜22 (𝑒, V) ∇V} + 𝑔 (𝑒, V) ,
πœ•π‘‘
where 𝑒 and V stand for the densities of the two species,
intrinsic diffusion parameters π‘˜11 (𝑒, V), π‘˜22 (𝑒, V) > 0, crossdiffusion parameters π‘˜12 (𝑒, V), π‘˜21 (𝑒, V),
𝐽𝑒 = − {π‘˜11 (𝑒, V) ∇𝑒 + π‘˜12 (𝑒, V) ∇V} ,
𝐽V = − {π‘˜21 (𝑒, V) ∇𝑒 + π‘˜22 (𝑒, V) ∇V}
(3)
can be seen as the out-flux vector of 𝑒 and V at π‘₯. The
cross-diffusion parameters π‘˜12 (𝑒, V), π‘˜21 (𝑒, V) ≥ 0 imply
that the two competitors 𝑒 and V diffuse in the direction
of lower contrary of their competitor to avoid each other.
𝑓(𝑒, V), 𝑔(𝑒, V) are response function and in this paper the
classical Logistic Type is considered and 𝛼, 𝛽 ≥ 0. More
biological meaning of the system can be seen in [1–3].
The method of upper and lower solutions is a useful
tool to study the existence of solutions of elliptic systems.
However, there are many difficulties in investigating the
existences of positive solutions of strongly coupled elliptic
systems. Recently, by changing general strongly coupled
elliptic systems into weakly coupled ones, the author in paper
[4] gives the method to judge the solutions existence of
elliptic systems by using the Schauder theorem. Furthermore,
the method can be used to solve the existence of solutions
of strongly coupled elliptic systems. In [5] Ko and Ryu
2
Abstract and Applied Analysis
investigate Lotka-Volterra prey-predator model with crossdiffusion:
−Δ𝑒 = 𝑒 (π‘Ž1 − 𝑒 − 𝑏12 V) ,
π‘₯ ∈ Ω,
−𝐷Δ𝑒 − ΔV = V (π‘Ž2 + 𝑏21 𝑒 − V) ,
𝑒 = V = 0,
π‘₯ ∈ Ω,
𝑒 = 𝐴∗ (𝑀, 𝑧) ,
Here 𝐷 may be positive or negative. Using the developing
method of upper and lower solutions in [4], the author gave
a sufficient conditions for the existence of positive solutions
to (4). Inspired by the paper [5], we investigate the existence
and nonexistence of positive solutions to (1).
The main goal of this paper is to provide sufficient
conditions for the existence of positive solutions to (1) when
the cross-diffusions 𝛼 and 𝛽 are small. More precisely, we have
the following theorem. Let πœ† 1 > 0 be the principal eigenvalue
of −Δ under homogeneous Dirichlet boundary condition. It is
well known that the principal eigenfunction πœ™ corresponding
to πœ† 1 does not change sign in Ω and ||πœ™||∞ = 1.
Theorem 1. If min{π‘Ž−𝑐𝑏, 𝑏−π‘‘π‘Ž} > πœ† 1 , then there exist positive
constants 𝛼 = 𝛼(π‘Ž, 𝑏, 𝑐, 𝑑, Ω), 𝛽 = 𝛽(π‘Ž, 𝑏, 𝑐, 𝑑, Ω), when 𝛼 <
𝛼, 𝛽 < 𝛽, (1) has at least one positive solution.
For 𝛼 = 𝛽 = 0, (1) is the Lotka-Volterra competition
model under homogeneous Dirichlet boundary condition. In
[6, 7], the authors use different methods to prove the existence
of positive solutions, a sufficient condition for the existence
is min{π‘Ž − 𝑐𝑏, 𝑏 − π‘‘π‘Ž} > πœ† 1 . The conclusion implies that
weakly cross-diffusion does not affect the existence of positive
solution.
This paper is organized as follows. In Section 2, the
existence theorem of solutions for a general class of strongly
coupled elliptic systems is presented using the method of
upper and lower solutions. In Section 3, sufficient conditions
for the existence and nonexistence of positive solutions of (1)
are investigated. Moreover, we give the corresponding results
simply if the competitive system only has one cross-diffusion.
2. The Existence Theorem of Solutions for
a Class of Strongly Coupled Elliptic Systems
In this section, we presented the existence theorem of solutions for a general class of strongly coupled elliptic systems:
π‘₯ ∈ Ω,
−Δ𝐡 (𝑒, V) = 𝑓2 (𝑒, V) ,
π‘₯ ∈ Ω,
𝑒 = V = 0,
(5)
π‘₯ ∈ πœ•Ω.
Here let 𝐴, 𝐡, 𝑓1 , 𝑓2 satisfy the following hypotheses conditions.
(H1) π‘ˆ, 𝑉 are domain in R2 , (0, 0) ∈ π‘ˆ. (𝐴, 𝐡) is a 𝐢2
function about (𝑒, V) from π‘ˆ to 𝑉, 𝐴(0, 0) = 𝐡(0, 0) =
0, and have a continuous inverse (𝐴∗ , 𝐡∗ ) ∈ 𝐢2 (𝑉, π‘ˆ).
Then for all (𝑒, V) ∈ π‘ˆ, let
𝑀 = 𝐴 (𝑒, V) ,
𝑧 = 𝐡 (𝑒, V) .
V = 𝐡∗ (𝑀, 𝑧) .
(7)
(4)
π‘₯ ∈ πœ•Ω.
−Δ𝐴 (𝑒, V) = 𝑓1 (𝑒, V) ,
There exists only one (𝑀, 𝑧) ∈ 𝑉, satisfying
(6)
(H2) The function 𝐴∗ is increasing in 𝑀 and decreasing in
𝑧; 𝐡∗ is decreasing in 𝑀 and increasing in 𝑧.
(H3) The functions 𝑓1 (𝑒, V), 𝑓2 (𝑒, V) are Lipschitz continuous in π‘ˆ, and there exist positive constants 𝑀1 , 𝑀2
such that for all (𝑒, V) ∈ π‘ˆ, the function 𝑓1 (𝑒, V) +
𝑀1 𝐴(𝑒, V) is increasing in 𝑒; the function 𝑓2 (𝑒, V) +
𝑀2 𝐡(𝑒, V) is increasing in V.
According to the hypothesis (H1), (5) can be rewritten as
the following equal PDE equations:
−Δ𝑀 + 𝑀1 𝑀 = 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝑧 + 𝑀2 𝑧 = 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
𝑒 = 𝐴∗ (𝑀, 𝑧) ,
V = 𝐡∗ (𝑀, 𝑧) ,
𝑀 = 𝑧 = 0,
π‘₯ ∈ Ω,
(8)
π‘₯ ∈ πœ•Ω.
Remark 2. According to the hypothesis (H1), (5) can also be
equal to the following weakly coupled elliptic equations:
−Δ𝑀 = 𝑓1 (𝐴∗ (𝑀, 𝑧) , 𝐡∗ (𝑀, 𝑧)) := 𝑔1 (𝑀, 𝑧) ,
π‘₯ ∈ Ω,
−Δ𝑧 = 𝑓2 (𝐴∗ (𝑀, 𝑧) , 𝐡∗ (𝑀, 𝑧)) := 𝑔2 (𝑀, 𝑧) ,
π‘₯ ∈ Ω, (9)
𝑀 = 𝑧 = 0,
π‘₯ ∈ πœ•Ω.
In its pure form, (9) is simpler than (8). However, due
to the complicity of mixed functions 𝑔1 (𝑀(π‘₯), 𝑧(π‘₯)) and
𝑔2 (𝑀(π‘₯), 𝑧(π‘₯)), it is difficult to find the solutions of (9)
directly. Therefore, we discuss (8).
Assume functions 𝑒, V, 𝑒, V ∈ 𝐢(Ω), 𝑀, 𝑧, 𝑀, 𝑧 ∈
𝐢𝛼 (Ω) β‹‚ 𝐢2 (Ω), the values of functions (𝑒, V) and (𝑒, V) are
in 𝑉 and the values of functions (𝑀, 𝑧) and (𝑀, 𝑧) are in π‘ˆ. To
describe easily, let
π‘ˆ = {𝑒 ∈ 𝐢 (Ω) : 𝑒 (π‘₯) ≤ 𝑒 (π‘₯) ≤ 𝑒 (π‘₯)} ,
𝑉 = {𝑒 ∈ 𝐢 (Ω) : V (π‘₯) ≤ V (π‘₯) ≤ V (π‘₯)} .
(10)
According the definition of upper and lower solutions in
[4] and conditions (H1)–(H3), we give the definition of upper
and lower solutions of (5).
Definition 3. A pair of functions ((𝑒, V, 𝑀, 𝑧), (𝑒, V, 𝑀, 𝑧)) are
called upper and lower solutions of (9) provided that they
Abstract and Applied Analysis
3
satisfy the relation (𝑒, V, 𝑀, 𝑧) ≥ (𝑒, V, 𝑀, 𝑧), and for all (𝑒, V) ∈
π‘ˆ × π‘‰, satisfy the following inequalities:
−Δ𝑀 + 𝑀1 𝑀 ≥ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝑧 + 𝑀2 𝑧 ≥ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝑀 + 𝑀1 𝑀 ≤ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝑧 + 𝑀2 𝑧 ≤ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
𝑒 ≥ 𝐴∗ (𝑀, 𝑧) ,
V ≥ 𝐡∗ (𝑀, 𝑧) ,
π‘₯ ∈ Ω,
𝑒 ≤ 𝐴∗ (𝑀, 𝑧) ,
V ≤ 𝐡∗ (𝑀, 𝑧) ,
π‘₯ ∈ Ω,
𝑀 ≥ 0 ≥ 𝑀,
𝑧 ≥ 0 ≥ 𝑧,
Lemma 6. If the functions 𝑒, V ∈ 𝐢1 (Ω) satisfy 𝑒|πœ•Ω = V|πœ•Ω =
0, 𝑒|Ω > 0, (πœ•π‘’/πœ•πœˆ)|πœ•Ω < 0, 𝜈 is the outer unit normal vector
of πœ•Ω, then there exists positive constant πœ€, such that 𝑒(π‘₯) >
πœ€V(π‘₯), for all π‘₯ ∈ Ω.
(11)
𝑒 = 0,
We can have the following conclusion from [4, Theorem
2.1].
Proposition 4. Assume that (8) has coupled upper and lower
solutions ((𝑒, V, 𝑀, 𝑧), (𝑒, V, 𝑀, 𝑧)), then there exists at least one
solution (𝑒, V, 𝑀, 𝑧), satisfying the relation
(𝑒, V, 𝑀, 𝑧) ≤ (𝑒, V, 𝑀, 𝑧) ≤ (𝑒, V, 𝑀, 𝑧) .
(12)
Furthermore, (𝑒, V) is the solution of (5).
Next, if 𝑒, V, 𝑒, V satisfy
V = 𝐡∗ (𝑀, 𝑧) ,
𝑒 = 𝐴∗ (𝑀, 𝑧) ,
V = 𝐡∗ (𝑀, 𝑧) ,
(13)
𝑧 = 𝐡 (𝑒, V) ,
𝑀 = 𝐴 (𝑒, V) ,
𝑧 = 𝐡 (𝑒, V) ,
(14)
(11) can be rewritten as
π‘₯ ∈ Ω,
(17)
π‘₯ ∈ πœ•Ω.
Lemma 7. If π‘Ž > πœ† 1 , then (17) has a unique positive solution
πœƒπ‘Ž satisfying πœƒπ‘Ž ≤ π‘Ž. In addition, πœƒπ‘Ž is increasing with respect
to π‘Ž.
3. A Lotka-Volterra Competition Model with
Two Cross-Diffusions
In this section, the existence of positive solutions of (1)
corresponding to 𝛼 ≥ 0, 𝛽 ≥ 0, is investigated by applying
Theorem 5 to prove Theorem 1.
Proof. We seek some positive constants 𝑅, 𝐾, 𝛿, 𝑅, 𝐾 > πœ† 1
sufficiently large and 𝛿 sufficiently small, Lemma 6 may
guarantee the existence of πœƒπ‘… and πœƒπΎ . It can be easily known
from Hopf boundary lemma:
πœ•πœ™
(π‘₯) < 0,
πœ•πœˆ
then
𝑀 = 𝐴 (𝑒, V) ,
For the equation:
−Δ𝑒 = 𝑒 (π‘Ž − 𝑒) ,
π‘₯ ∈ πœ•Ω.
𝑒 = 𝐴∗ (𝑀, 𝑧) ,
To make sure the upper and lower solutions reasonable,
we give the following two lemmas; more details can be found
in [8, 9].
πœ•πœƒπ‘…
(π‘₯) < 0,
πœ•πœˆ
πœ•πœƒπΎ
(π‘₯) < 0,
πœ•πœˆ
∀π‘₯ ∈ πœ•Ω.
Observe that min{π‘Ž − 𝑐𝑏, 𝑏 − π‘‘π‘Ž} > πœ† 1 , using Lemma 7, we
can have 𝑅, 𝐾, 𝛿, π‘Ž < 𝑅 < (𝑏 − πœ† 1 )/𝑑, 𝑏 < 𝐾 < (π‘Ž − πœ† 1 )/𝑐,
satisfying the following three conditions:
(i) π›Ώπœ™(π‘₯) < πœƒπ‘… (π‘₯), π›Ώπœ™(π‘₯) < πœƒπΎ (π‘₯), for all π‘₯ ∈ Ω;
−Δ𝐴 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ≥ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
(ii) (πœ•(πœƒπ‘… − π›Ώπœ™)/πœ•πœˆ)(π‘₯) < 0, (πœ•(πœƒπΎ − π›Ώπœ™)/πœ•πœˆ)(π‘₯) < 0;
−Δ𝐡 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ≥ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
(iii) 𝛿 < min{π‘Ž − πœ† 1 − 𝑐𝐾, 𝑏 − πœ† 1 − 𝑑𝑅}.
−Δ𝐴 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ≤ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐡 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ≤ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
𝐴 (𝑒, V) ≥ 0 ≥ 𝐴 (𝑒, V) ,
π‘₯ ∈ πœ•Ω.
(15)
𝐡 (𝑒, V) ≥ 0 ≥ 𝐡 (𝑒, V) ,
Synthetically, we have the following result.
Theorem 5. If there is a pair of functions ((𝑒, V), (𝑒, V)),
satisfying
(𝑒, V, 𝐴 (𝑒, V) , 𝐡 (𝑒, V)) ≥ (𝑒, V, 𝐴 (𝑒, V) , 𝐡 (𝑒, V)) ,
(16)
and for all (𝑒, V) ∈ π‘ˆ × π‘‰, (15) is satisfied, then (5) has at
least one solution (𝑒, V), satisfying the relation (𝑒, V) ≤ (𝑒, V) ≤
(𝑒, V).
(18)
Let 𝑀1 = 2𝑅+𝑐𝐾, 𝑀2 = 2𝐾+𝑑𝑅. Using Lemma 7 again,
there exist 𝛼 = 𝛼(π‘Ž, 𝑏, 𝑐, 𝑑, Ω) < 1, 𝛽 = 𝛽(π‘Ž, 𝑏, 𝑐, 𝑑, Ω) < 1,
for all (𝜌, 𝜏) ∈ [0, 𝛼) × [0, 𝛽), for all π‘₯ ∈ Ω, satisfying
(iv) πœƒπ‘… − π›Ώπœ™ > 𝜌(πœƒπΎ − π›Ώπœ™), πœƒπΎ − π›Ώπœ™ > 𝜏(πœƒπ‘… − π›Ώπœ™);
(v) (𝑅 − π‘Ž)πœƒπ‘… > 𝜌[𝑀1 πœƒπΎ − (𝑀1 + πœ† 1 )π›Ώπœ™], (𝐾 − 𝑏)πœƒπΎ >
𝜏[𝑀2 πœƒπ‘… − (𝑀2 + πœ† 1 )π›Ώπœ™];
(vi) (π‘Ž − πœ† 1 − 𝛿 − 𝑐𝐾)π›Ώπœ™ > 𝜌[(𝐾 + 𝑀1 − πœƒπΎ )πœƒπΎ − 𝑀1 π›Ώπœ™];
(vii) (𝑏 − πœ† 1 − 𝛿 − 𝑑𝑅)π›Ώπœ™ > 𝜏[(𝑅 + 𝑀2 − πœƒπ‘… )πœƒπ‘… − 𝑀2 π›Ώπœ™].
We will verify 𝛼, 𝛽 satisfying Theorem 5. Suppose that
(𝛼, 𝛽) ∈ [0, 𝛼) × [0, 𝛽). Then we construct a pair of upper and
lower solutions of the form
(𝑒, V) = (πœƒπ‘… , πœƒπΎ ) ,
(𝑒, V) = (π›Ώπœ™, π›Ώπœ™) ,
(19)
4
Abstract and Applied Analysis
where 𝛿 satisfies conditions (i)–(iii). Let
𝐴 (𝑒, V) = 𝑒 + 𝛼V,
𝐡 (𝑒, V) = 𝛽𝑒 + V.
Theorem 8. Any positive solutions (𝑒, V) of (1) have a priori
bound; that is
(20)
𝑒 (π‘₯) ≤
Then
𝐴∗ (𝑀, 𝑧) =
𝑀 − 𝛼𝑧
,
1 − 𝛼𝛽
𝐡∗ (𝑀, 𝑧) =
𝑧 − 𝛽𝑀
.
1 − 𝛼𝛽
𝑒=
𝑓2 (𝑒, V) = V (𝑏 − V − 𝑑𝑒) .
(22)
And for all (𝑒, V) ∈ π‘ˆ, we have
[𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V)]V = 𝑏 − 2V − 𝑑𝑒 + 𝑀2
𝑀 − 𝛼𝑧
,
1 − 𝛼𝛽
(26)
(23)
V=
𝑧 − 𝛽𝑀
.
1 − 𝛼𝛽
(27)
Equation (1) can be rewritten as
−Δ𝑀 =
𝑧 − 𝛽𝑀
𝑀 − 𝛼𝑧
𝑀 − 𝛼𝑧
(π‘Ž −
−𝑐
),
1 − 𝛼𝛽
1 − 𝛼𝛽
1 − 𝛼𝛽
π‘₯ ∈ Ω,
−Δ𝑧 =
𝑧 − 𝛽𝑀
𝑧 − 𝛽𝑀
𝑀 − 𝛼𝑧
(𝑏 −
−𝑑
),
1 − 𝛼𝛽
1 − 𝛼𝛽
1 − 𝛼𝛽
π‘₯ ∈ Ω,
(𝑀, 𝑧) = (0, 0) ,
[𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V)]𝑒 = π‘Ž − 2𝑒 − 𝑐V + 𝑀1
≥ −2𝑅 − 𝑐𝐾 + 𝑀1 = 0,
π‘Ž
.
𝑐
V (π‘₯) ≤
Proof. Let 𝑀 = 𝑒 + 𝛼V, 𝑧 = 𝛽𝑒 + V; then
(21)
By simply computing, (H1) and (H2) are satisfied, where π‘ˆ =
[0, 𝑅] × [0, 𝐾], 𝑉 = [0, 𝑅 + 𝛼𝐾] × [0, 𝐾 + 𝛽𝑅].
Note
𝑓1 (𝑒, V) = 𝑒 (π‘Ž − 𝑒 − 𝑐V) ,
𝑏
,
𝑑
(28)
π‘₯ ∈ πœ•Ω.
Since (𝑒, V) > (0, 0), it easily follows that 𝑀−𝛼𝑧 > 0, 𝑧−𝛽𝑀 >
0. Assume that 𝑧(π‘₯) attains its positive maximum at π‘₯0 ∈ Ω,
then
π‘Ž (1 − 𝛼𝛽) − 𝑀 (π‘₯0 ) + 𝛼𝑧 (π‘₯0 ) − 𝑐𝑧 (π‘₯0 ) + 𝑐𝛽𝑀 (π‘₯0 ) > 0
≥ −2𝐾 − 𝑑𝑅 + 𝑀2 = 0.
So (H3) is satisfied; observer that 𝑒|πœ•Ω = V|πœ•Ω = 𝑒|πœ•Ω =
V|πœ•Ω = 0, (𝑒, V) ≥ (𝑒, V) and (iv) and (15) and the boundary
conditions of (16) can be checked. Therefore, if we want to
obtain the existence of solutions through [4, Theorem 2.1], we
should only verify for all (𝑒, V) ∈ π‘ˆ × π‘‰,
−Δ𝐴 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ≥ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐡 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ≥ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐴 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ≤ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐡 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ≤ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω.
(24)
Because 𝑓1 is decreasing in V, 𝑓2 is decreasing in 𝑒, and 𝐴(𝑒, V)
is increasing in V, 𝐡(𝑒, V) is increasing in 𝑒, only to verify the
following inequations:
π‘Ž (1 − 𝛼𝛽) − 𝑐𝑧 (π‘₯0 ) + 𝑐𝛽𝛼𝑧 (π‘₯0 ) > 0,
𝑧 (π‘₯) ≤ 𝑧 (π‘₯0 ) ≤
π‘Ž
𝑐
(29)
so that
V = 𝑧 − 𝛽𝑒 ≤ 𝑧 (π‘₯0 ) ≤
π‘Ž
.
𝑐
Similarly, we can obtain the desired result
𝑒≤
𝑏
.
𝑑
(31)
Theorem 9. If one of the following conditions:
(i) 𝑏 ≤ π‘Žπ‘‘, πœ† 1 ≥ (𝑏 + 𝑐𝛽(𝑏/𝑑))/(1 − 𝛼𝛽);
(ii) (1 − (𝛼 + 𝛽)/2)πœ† 1 ≥ max{π‘Ž, 𝑏};
−Δ𝐴 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ≥ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐡 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ≥ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐴 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ≤ 𝑓1 (𝑒, V) + 𝑀1 𝐴 (𝑒, V) ,
π‘₯ ∈ Ω,
−Δ𝐡 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ≤ 𝑓2 (𝑒, V) + 𝑀2 𝐡 (𝑒, V) ,
π‘₯ ∈ Ω.
(25)
∫ |∇𝑒|2 𝑑π‘₯ + 𝛼 ∫ ∇𝑒∇V𝑑π‘₯ = ∫ 𝑒2 (π‘Ž − 𝑒 − 𝑐V) 𝑑π‘₯,
It is easy to check (25) by (v), (vi), and (vii). So from
[4, Theorem 2.1], (1) has a solution (𝑒, V), in addition (𝑒, V) ≥
(𝑒, V) ≥ (𝑒, V) > (0, 0).
𝛼 ∫ |∇V|2 𝑑π‘₯ + ∫ ∇𝑒∇V𝑑π‘₯ = ∫ 𝑒V (π‘Ž − 𝑒 − 𝑐V) 𝑑π‘₯,
In the end, before investigating the nonexistence of
positive solutions of (1), we give its priori bound of positive
solutions.
(30)
is satisfied, then (1) with 𝛼 < 𝛼, 𝛽 < 𝛽 has no positive solution.
Proof. Multiplying 𝑒 and V to the first and second equations
in (1), and integrating these equations on Ω, we have
Ω
Ω
Ω
Ω
Ω
Ω
2
𝛽 ∫ |∇𝑒| 𝑑π‘₯ + ∫ ∇𝑒∇V𝑑π‘₯ = ∫ 𝑒V (𝑏 − V − 𝑑𝑒) 𝑑π‘₯,
Ω
Ω
Ω
∫ |∇V|2 𝑑π‘₯ + 𝛽 ∫ ∇𝑒∇V𝑑π‘₯ = ∫ V2 (𝑏 − V − 𝑑𝑒) 𝑑π‘₯.
Ω
Ω
Ω
(32)
Abstract and Applied Analysis
5
(i) Suppose, by contradiction that (1) has a positive
solution (𝑒, V), then the second and fourth equations in (32)
yield
≥ [(1 −
𝛼+𝛽
) πœ† 1 − π‘Ž] ∫ 𝑒2 𝑑π‘₯
2
Ω
+ [(1 −
∫ V3 𝑑π‘₯ + 𝛽 ∫ 𝑒V (π‘Ž − 𝑒) 𝑑π‘₯
Ω
𝛼+𝛽
) πœ† 1 − 𝑏] ∫ V2 𝑑π‘₯ ≥ 0.
2
Ω
(36)
Ω
= − (1 − 𝛼𝛽) ∫ |∇V|2 𝑑π‘₯ + 𝛽 ∫ 𝑐𝑒V2 𝑑π‘₯
Ω
Ω
(33)
+ ∫ V2 (𝑏 − 𝑑𝑒) 𝑑π‘₯.
Ω
Since 𝑒 ≤ 𝑏/𝑑 by Theorem 8, the left-hand side of (33)
must be positive. On the other hand, the Poincare inequality,
β€–∇Vβ€–2𝐿2 ≥ πœ† 1 β€–Vβ€–2𝐿2 , for V ∈ π‘Š21 (Ω) and the given assumption
shows the following contradiction:
However, this results in a contradiction since the right-hand
side of (35) is clearly strictly negative by the positivity of 𝑒
and V.
Remark 10. Before closing this section, more sufficient conditions of the nonexistence of positive solutions of (1) with
𝛼 + 𝛽 > 0, 𝛼𝛽 = 0 are investigated. Take 𝛼 = 0, 𝛽 > 0 for
example, then (1) may be reduced as
−Δ𝑒 = 𝑒 (π‘Ž − 𝑒 − 𝑐V) ,
π‘₯ ∈ Ω,
−Δ (𝛽𝑒 + V) = V (𝑏 − V − 𝑑𝑒) ,
2
2
2
− (1 − 𝛼𝛽) ∫ |∇V| 𝑑π‘₯ + 𝛽 ∫ 𝑐𝑒V 𝑑π‘₯ + ∫ V (𝑏 − 𝑑𝑒) 𝑑π‘₯
Ω
Ω
≤ − [(1 − 𝛼𝛽) πœ† 1 − 𝑐𝛽
(𝑒, V) = (0, 0) ,
Ω
𝑏
− 𝑏] ∫ V2 𝑑π‘₯ ≤ 0.
𝑑
Ω
π‘₯ ∈ Ω,
(37)
π‘₯ ∈ πœ•Ω.
Using the same method, we can obtain that (37) has no positive solution, if one of the following conditions is satisfied:
(34)
(ii) A contraction argument is also used assuming that (1)
has a positive solution (𝑒, V). Adding the first equation to the
fourth equation, and then subtracting π‘Ž ∫٠𝑒2 𝑑π‘₯ + 𝑏 ∫Ω V2 𝑑π‘₯
from the both sides, the following identity is obtained:
(i) πœ† 1 ≥ 𝑏 + π›½π‘π‘Ž;
(ii) πœ† 1 ≥ π‘Ž;
(iii) (1 − 𝛽/2)πœ† 1 ≥ max{π‘Ž, 𝑏};
(iv) 𝑐 < 1 < π‘Ž/𝑏 and (1 − 𝑑)/𝛽 ≤ πœ† 1 /(𝑏 + π›½π‘Ž) ≤ 1.
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∫ |∇𝑒|2 𝑑π‘₯ + (𝛼 + 𝛽) ∫ ∇𝑒∇V𝑑π‘₯
Ω
Ω
+ ∫ |∇V|2 𝑑π‘₯ − π‘Ž ∫ 𝑒2 𝑑π‘₯ − 𝑏 ∫ V2 𝑑π‘₯
Ω
Ω
Ω
(35)
= − ∫ 𝑒2 (𝑒 + 𝑐V) 𝑑π‘₯ − ∫ V2 (V + 𝑑𝑒) 𝑑π‘₯.
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𝛼+𝛽
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≥ [(1 −
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2
Ω
⋅ ∫ |∇ (𝑒 + V)|2 𝑑π‘₯+[(1 −
Ω
Ω
𝛼+𝛽
) πœ† 1 − 𝑏]∫ V2 𝑑π‘₯
2
Ω
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