Abstract
This article is mainly concerned with a predator–prey model with Holling type functional response, where the stage structure and harvesting are considered. Firstly, we discuss the local stability of various equilibria by using the characteristic equation technique. Then, by constructing upper and lower solutions, we prove the existence of traveling waves connecting two steady states.
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Avoid common mistakes on your manuscript.
1 Introduction
The dynamics between species are very complex. Since the predator–prey model with diffusion exists widely in the natural environment, a variety of models have been studied. A fundamental predator–prey model with diffusion is given by
There have been a lot of works on system (1). In [1,2,3], by using the shooting method, Dunbar established the existence of various kinds of traveling waves for system (1) with Holling type-I and Holling type-II functional responses. Following Dunbar’s ideas, traveling waves of (1) with different kinds of f(u) were studied in [4,5,6,7,8,9,10,11,12].
As we all know, species at different stages may behave differently, so it seems necessary to investigate the predator–prey models with stage structure. Recently, Zhang et al. [13], Ge and He [14], Zhang and Xu [15], and Ge et al. [16] studied the properties of traveling wave solutions of various kinds of predator–prey models with stage structure.
On the other hand, for economic reasons, human needs to exploit biological resources and harvest some biological species. Therefore, it is necessary to study the suitable population model with harvesting. Recently, Hong and Weng [17], Lv et al. [18], Hong and Weng [19], and Xia et al. [20] concerned the traveling waves of various kinds of predator–prey models, where the harvesting and stage structure were considered.
In this paper, we will concentrate on the following predator–prey system with Holling type functional response
where
We make the following assumptions for model (2).
-
(A1)
All parameters are positive. \(u_1(x,t),u_2(x,t),v(x,t)\) represent the densities of the immature and mature prey–predator species at time t and location x, respectively; \(D_i(i=1,2,3)\) are the diffusion coefficients.
-
(A2)
a is the birth rate of immature prey population; \(d_i(i=1,2)\) are the death rate of immature and mature prey population, respectively; \(a_{ii}(i=1,2)\) are the intra-specific competition rate of immature and mature prey population, respectively; \(a_1\) and \(\frac{b}{a_1}\) are the growth rate and environmental carrying capacity of predator population, respectively; \(q_i(i=2,3)\) are the catch ability coefficient of the mature prey and predator species, respectively; \(e_i(i=2,3)\) are the harvesting effort of the mature prey and predator species, respectively.
-
(A3)
The term \(ae^{-d_1\tau }\int _{-\infty }^{+\infty }G(\tau ,x-y)u_2(y,t-\tau )\hbox {d}y\) stands for the number of prey population which leave immature individuals to mature individuals at time t and location x. \(\frac{u_2^p(x,t)v(x,t)}{1+mu_2^p(x,t)}\) represents the Holling type functional response.
This article is organized as follows. We analyze the stability of the equilibria first in Sect. 2. In Sect. 3, by using Schauder’s fixed point theorem, an existence theorem of traveling waves connecting two steady states is derived. The main contribution of this article is the construction and verification of upper–lower solutions. These works are done in Sect. 4.
2 Local Stability of Equilibria
Note that \(u_1(x,t)\) is independent of the last two equations of system (2); for simplicity , we denote \(u_2(x,t)\) by u(x, t) to obtain the following system
Let
It is easy to know that system (3) has the following equilibria
We assume that
due to the background of our system. The linearized system of (3) at any equilibrium \((u^*,v^*)\) is
Let \(\lambda \) be a complex number and \(\sigma \) be a real number. We know that Eq. (4) admits non-trivial solutions with the form
if and only if
where
(5) is equivalent to
Theorem 1
\(E_0(0,0)\) is an unstable equilibrium.
Proof
Letting \((u^*,v^*)=(0,0)\) in (6), we obtain
Thus, either
or
Let
Then,
Therefore, there exists a \(\sigma _*>0\) such that \(f(0,\sigma _*)>0\). Since \(f(\infty ,\sigma _*)<0\), the equation \(\lambda =f(\lambda ,\sigma _*)\) has at least one root \(\lambda _*>0\). And Eq. (7) with \(\sigma =\sigma _*\) has at least one root \(\lambda _*>0\). That is, \(E_0(0,0)\) is an unstable equilibrium. \(\square \)
Theorem 2
\(E_1\left( \nicefrac {\vartheta _1}{a_{22}},0\right) \) is an unstable equilibrium.
Proof
Letting \((u^*,v^*)=\left( \nicefrac {\vartheta _1}{a_{22}},0\right) \) in (6), we obtain that either
or
It is easy to see that Eq. (10) has at least one root \((\lambda _*,\sigma _*)\) with \(\lambda _*>0\).
\(E_1\left( \nicefrac {\vartheta _1}{a_{22}},0\right) \) is an unstable equilibrium. \(\square \)
Theorem 3
\(E_2\left( 0,\nicefrac {\vartheta _2}{b}\right) \) is an unstable equilibrium.
Proof
Letting \((u^*,v^*)=\left( 0,\nicefrac {\vartheta _2}{b}\right) \) in (6), it follows that either
or
From the proof of Theorem 1, we know that Eq. (11) has at least one root \((\lambda _*,\sigma _*)\) with \(\lambda _*>0\). \(E_2\left( 0,\nicefrac {\vartheta _2}{b}\right) \) is an unstable equilibrium. \(\square \)
Now, we consider the stability of the positive equilibrium \(E_3(u^+,v^+)\), which is given by the following system
The above system can be rewritten as
where
Noting \(A_0>0\) and \(A_7<0\), thus Eq. (13) possesses at least one root \(u^+>0\).
Theorem 4
If \(a_{22}\ge \frac{a_{23}\left( m(u^{+})^p+1-p\right) (u^+)^{p-2}v^+}{(1+m(u^{+})^p)^2}\) holds, then \(E_3(u^+,v^+)\) is a locally
asymptotically stable equilibrium.
Proof
Denote
Letting \((u^*,v^*)=(u^+,v^+)\) in (6), from \(\vartheta _2-bv^++\gamma _1(u^{+})^p=0\), we have
Suppose that there is a \((\mu _1+i\omega _1,\sigma _1)\) satisfying (14) with \(\mu _1\ge 0\), and note that
The direct computation gives us
as \(a_{22}\ge \frac{a_{23}\left( m(u^{+})^p+1-p\right) (u^+)^{p-2}v^+}{(1+m(u^{+})^p)^2}\), a contradiction. Thus, if \((\lambda ,\sigma )=(\mu +i\omega ,\sigma )\) satisfies (14), we must have \(\mu <0\). \(E_3(u^+,v^+)\) is a locally asymptotically stable equilibrium. \(\square \)
3 Existence of Traveling Waves
Substituting \((u(x,t),v(x,t))=(\phi (x+ct),\psi (x+ct))\) into (3), for simplicity, denoting the traveling wave coordinate \(x+ct\) by t, it follows that
where
We will look for the non-trivial and nonnegative solutions of system (15) which satisfy the following asymptotic boundary conditions
Let
and
Choosing
we define two operators \(H=(H_2,H_3)\) and \(F=(F_2,F_3)\) from \(C_{[0,M]}({\mathbb {R}},{\mathbb {R}}^2)\) to \(C({\mathbb {R}},{\mathbb {R}}^2)\) by
where
For \(\mu \in (0,\min \{-\lambda _{21},\lambda _{22},-\lambda _{31},\lambda _{32}\})\), define
and
Then, it is easy to check that \((B_{\mu }({\mathbb {R}},{\mathbb {R}}^2),|\cdot |_\mu )\) is a Banach space.
The operators \(H_i(i=2,3)\) and \(F_i(i=2,3)\) admit the following properties.
Lemma 1
For sufficiently large \(\beta _2,\beta _3\) satisfying (18), we have
for \(t\in {\mathbb {R}}\) with \(0\le \phi _2(t)\le \phi _1(t)\le M_2, 0\le \psi _2(t)\le \psi _1(t)\le M_3\).
Proof
Let
Then,
\(f(\phi )\) is increasing on \([0,+\infty )\). For \(0\le \phi _2\le \phi _1\le M_2\), according to Lagrange mean value theorem, we have
where \(\phi _2\le \xi \le \phi _1\). Thus,
From the definition of \(H=(H_2,H_3)\) and note (18), we have
\(\square \)
Lemma 2
For sufficiently large \(\beta _2,\beta _3\) satisfying (18), we have
for \(t\in {\mathbb {R}}\) with \(0\le \phi _2(t)\le \phi _1(t)\le M_2, 0\le \psi _2(t)\le \psi _1(t)\le M_3\).
Proof
From the definition of \(F_i(i=2,3)\), we can see that \(F_i(i=2,3)\) enjoys the same properties as \(H_i(i=2,3)\) stated in Lemma 1. \(\square \)
Lemma 3
\(F=(F_2,F_3)\) is continuous with respect to the norm \(|\cdot |_\mu \) in \(B_{\mu }({\mathbb {R}},{\mathbb {R}}^2)\).
Proof
Note that
If \(\varPhi =(\phi _1,\psi _1), \varPsi =(\phi _2,\psi _2)\in B_{\mu }({\mathbb {R}},{\mathbb {R}}^2)\), we have
where
Therefore, \(H_2:B_{\mu }({\mathbb {R}},{\mathbb {R}}^2)\rightarrow B_{\mu }({\mathbb {R}},{\mathbb {R}})\) is continuous with respect to the norm \(|\cdot |_\mu \). Using the same method, we can prove that
where
And thus, \(H_3:B_{\mu }({\mathbb {R}},{\mathbb {R}}^2)\rightarrow B_{\mu }({\mathbb {R}},{\mathbb {R}})\) is continuous with respect to the norm \(|\cdot |_\mu \).
The proof of \(F_2\) and \(F_3\) which are continuous with respect to the norm \(|\cdot |_\mu \) can be found in [19], and we omit it here. The proof is complete. \(\square \)
Definition 1
A pair of continuous functions \({\overline{\rho }}(t)=({\overline{\phi }}(t),{\overline{\psi }}(t))\) and \({\underline{\rho }}(t)=({\underline{\phi }}(t),\) \({\underline{\psi }}(t))\) are called a pair of upper–lower solutions of (15), if there exists a set \({\mathcal {S}}=\{s_i\in {\mathbb {R}},i=1,2,\ldots ,n\}\) with finite points such that \({\overline{\rho }}(t)\) and \({\underline{\rho }}(t)\) are twice continuously differentiable on \({\mathbb {R}}\backslash {\mathcal {S}}\) and satisfy
and
for \(t\in {\mathbb {R}}\backslash {\mathcal {S}}\).
Now we assume that a pair of upper–lower solutions \(({\overline{\phi }}(t),{\overline{\psi }}(t))\) and \(({\underline{\phi }}(t),{\underline{\psi }}(t))\) are given such that
-
(P1)
\((0,0)\le ({\underline{\phi }}(t),{\underline{\psi }}(t))\le ({\overline{\phi }}(t),{\overline{\psi }}(t))\le (M_2,M_3)\).
-
(P2)
\(\lim _{t\rightarrow -\infty }({\overline{\phi }}(t),{\overline{\psi }}(t))=(0,0),\)
\(\lim _{t\rightarrow +\infty }({\underline{\phi }}(t),{\underline{\psi }}(t)) =\lim _{t\rightarrow +\infty }({\overline{\phi }}(t),{\overline{\psi }}(t))=(u^+,v^+)\).
-
(P3)
\({\overline{\phi }}'(t+)\le {\overline{\phi }}'(t-)\) and \({\underline{\phi }}'(t+)\ge {\underline{\phi }}'(t-)\) for \(t\in {\mathbb {R}}\).
Define a profile set \(\varGamma \) as follows:
We have the following results. And the proofs can be found in [19], and we omit it here.
Lemma 4
\(F(\varGamma )\subset \varGamma \).
Lemma 5
\(F:\varGamma \rightarrow \varGamma \) is compact with respect to the decay norm \(|\cdot |_\mu \).
Theorem 5
Suppose that there are a pair of upper–lower solutions \({\overline{\rho }}(t)=({\overline{\phi }}(t),{\overline{\psi }}(t))\) and \({\underline{\rho }}(t)=({\underline{\phi }}(t),{\underline{\psi }}(t))\) for (15) satisfying (P1)-(P3). Then, system (15) has a traveling wave solution.
4 Construction of Upper–Lower Solutions
Firstly, we have the following lemma.
Lemma 6
Assume that
hold. Then, there exist \(\varepsilon _1\in \left( 0,(\sqrt{2}-1)u^+\right) \) and \(\varepsilon _2\in \left( 0,\nicefrac {v^+}{2}\right) \) such that
where \(\varepsilon _0>0\) is a constant.
Proof
Let
Obviously,
If (19) hold, then there exist \(\varepsilon _i^*(i=1,2)\) such that
and
\(\square \)
The following assumption will be imposed throughout this section.
Remark 1
If \(\vartheta _1>\frac{(4+2\sqrt{2})a_{23}(u^+)^{p-1}M_3}{1+m(u^{+})^p}\), then we know that
On the other hand, since \(a_{22}\ge \frac{(3+2\sqrt{2})a_{23}(u^+)^{p-2}M_3}{1+m(u^{+})^p}\), we have
Thus, by Theorem 4, we know that \((u^+,v^+)\) is locally asymptotic stable. Since
we have that
It is not difficult to verify
In order to construct upper–lower solutions for (15), we consider the following functions
By a direct calculation, we have
Let
and
From the above observation, we conclude that \(\varDelta _1(\lambda ,c)=0\) has two distinct positive roots \(\lambda _1(c)\) and \(\lambda _2(c)\) for \(c>c_1\). And \(\varDelta _2(\lambda ,c)=0\) has two distinct positive roots \(\lambda _3(c)\) and \(\lambda _4(c)\) for \(c>c_2\).
Let \(c>c^*:=\max \{c_1,c_2\}\) be fixed, \(q>1, \lambda _i=\lambda _i(c) (i=1,2,3,4)\),
Denote
Then, \(L_1({\bar{t}}_3)=0, L_2({\bar{t}}_4)=0\) with \({\bar{t}}_3=-\frac{\ln q}{(\eta -1)\lambda _1}, {\bar{t}}_4=-\frac{\ln q}{(\eta -1)\lambda _3}\). Let \(\varepsilon _1,\varepsilon _2\) be defined as in Lemma 6. For sufficiently small \(\lambda >0\), we choose \(q>1\) large enough such that
respectively. Here,
and \(|t_i|(i=3,4)\) are large enough. Now we define the following functions
We can verify that \(({\overline{\phi }}(t),{\overline{\psi }}(t))\) and \(({\underline{\phi }}(t),{\underline{\psi }}(t))\) satisfy (P1)–(P3). Furthermore, if \(q>1\) is large enough, then it is easy to know that
Lemma 7
Assume that (21) holds and \(q>1\) is large enough. Then \(({\overline{\phi }}(t),{\overline{\psi }}(t))\) is an upper solution of (15).
Proof
For \(({\overline{\phi }}(t),{\overline{\psi }}(t))\in C({\mathbb {R}},{\mathbb {R}}^2)\), if \(t\le t_1\), then \({\overline{\phi }}(t)=e^{\lambda _1t}\). If \(t-y-c\tau \le t_1\), then \({\overline{\phi }}(t-y-c\tau )=e^{\lambda _1(t-y-c\tau )}\); if \(t-y-c\tau >t_1\), then \({\overline{\phi }}(t-y-c\tau )=\min \{M_2,u^++u^+e^{-\lambda (t-y-c\tau )}\}\le e^{\lambda _1(t-y-c\tau )}\). Thus,
When \(t>t_1\), if \({\overline{\phi }}(t)=M_2\), note that \({\overline{\phi }}(t-y-c\tau )\le M_2\). We have from the definition of \(M_2\) that
Otherwise, \({\overline{\phi }}(t)=u^++u^+e^{-\lambda t}, {\underline{\psi }}(t)=v^+-\varepsilon _2e^{-\lambda t}\). If \(t-y-c\tau \le t_1\), then \({\overline{\phi }}(t-y-c\tau )=e^{\lambda _1(t-y-c\tau )}\le u^++u^+e^{-\lambda (t-y-c\tau )}\); if \(t-y-c\tau >t_1\), then \({\overline{\phi }}(t-y-c\tau )=u^++u^+e^{-\lambda (t-y-c\tau )}\). Therefore, we have
Since \(a_{22}\ge \frac{(3+2\sqrt{2})a_{23}(u^+)^{p-2}M_3}{1+m(u^{+})^p}\), we have
and there exists \(\lambda _1^*\) such that \(\varDelta _1(-\lambda ,c)-\frac{3}{2}a_{22}u^{+}<0\) for \(\lambda \in (0,\lambda _1^*)\). On the other hand, using \(\varepsilon _2\in \left( 0,\nicefrac {v^+}{2}\right) \), we obtain
Hence, we can get
for any \(\lambda \in (0,\lambda _1^*)\).
If \(t\le t_2\), then \({\overline{\psi }}(t)=e^{\lambda _3t}+qe^{\eta \lambda _3t}, {\overline{\phi }}(t)=e^{\lambda _1t}\). We have
Note \(\varDelta _2(\eta \lambda _3,c)<0\) by (24). Let \(q>1\) be large enough, then \(-t_2>0\) is also large enough such that
which leads to
When \(t>t_2\), if \({\overline{\psi }}(t)=M_3\), note that \({\overline{\phi }}(t)\le M_2\), using \(M_3\ge \frac{a_1-q_3e_3+a_{32}M_2^p}{b}\), we have
Otherwise, \({\overline{\psi }}(t)=v^++v^+e^{-\lambda t}, {\overline{\phi }}(t)\le u^++u^+e^{-\lambda t}\), then
Note that \(\varDelta _2(0,c)-bv^+=\vartheta _2-bv^+=-\frac{a_{32}(u^{+})^p}{1+m(u^{+})^p}<0\); thus, there exists \(\lambda _2^*\) such that \(\varDelta _2(-\lambda ,c)-bv^+<0\) for \(\lambda \in (0,\lambda _2^*)\). On the other hand, let
Note that for \(p\in {\mathbb {N}}, p\ge 2\), we have \(2^{p+1}-p-2>2^p-\nicefrac {1}{2}\). By (21) and Remark 1, we have
Thus, we can choose \(\delta _0>0\) such that
for \(\delta \in [1,1+\delta _0]\). Let \(\delta ^*=1+\delta _0\).
If \(t\in (t_2,0]\), noting \(e^{-\lambda t}\) is decreasing on \((t_2,0]\), we can choose \(\lambda _3^*>0\) small enough such that \(e^{-\lambda _3^*t_2}=1+\delta _0=\delta ^*\). Thus, we have \(1\le e^{-\lambda t}<\delta ^*\) for \(t\in (t_2,0]\) and \(\lambda \in (0,\lambda _3^*)\). Therefore, \(I_2(\lambda ,t)>0\) for \(t\in (t_2,0]\).
If \(t>0\), noting \(2^{p+1}-p-2>p+1\), we have
Summarizing the above discussions, we have
for any \(\lambda \in (0,\min \{\lambda _2^*,\lambda _3^*\})\). Thus, \(({\overline{\phi }}(t),{\overline{\psi }}(t))\) is an upper solution of (15). \(\square \)
Lemma 8
Assume that (21) holds and \(q>1\) is large enough. Then, \(({\underline{\phi }}(t),{\underline{\psi }}(t))\) is a lower solution of (15).
Proof
For \(({\underline{\phi }}(t),{\underline{\psi }}(t))\in C({\mathbb {R}},{\mathbb {R}}^2)\), if \(t\le t_3\), then \({\underline{\phi }}(t)=e^{\lambda _1t}-qe^{\eta \lambda _1t}, {\overline{\psi }}(t)\le e^{\lambda _3t}+qe^{\eta \lambda _3t}\). If \(t-y-c\tau \le t_3\), then \({\underline{\phi }}(t-y-c\tau )=e^{\lambda _1(t-y-c\tau )}-qe^{\eta \lambda _1(t-y-c\tau )}\); if \(t-y-c\tau >t_3\), then \({\underline{\phi }}(t-y-c\tau )=u^+-\varepsilon _1e^{-\lambda (t-y-c\tau )}\ge e^{\lambda _1(t-y-c\tau )}-qe^{\eta \lambda _1(t-y-c\tau )}\). Therefore, we have
Note from (24) that \(\varDelta _1(\eta \lambda _1,c)<0\) and \(p\lambda _1+\eta \lambda _3-\eta \lambda _1>0\). Let \(q>1\) be large enough, then \(-t_3>0\) is also large enough such that
which leads to
Therefore,
If \(t>t_3\), then \({\underline{\phi }}(t)=u^+-\varepsilon _1e^{-\lambda t}, {\overline{\psi }}(t)\le v^++v^+e^{-\lambda t}\). If \(t-y-c\tau \le t_3\), then \({\underline{\phi }}(t-y-c\tau )=e^{\lambda _1(t-y-c\tau )}-qe^{\eta \lambda _1(t-y-c\tau )}\ge u^+-\varepsilon _1e^{-\lambda (t-y-c\tau )}\); if \(t-y-c\tau >t_3\), then \({\underline{\phi }}(t-y-c\tau )=u^+-\varepsilon _1e^{-\lambda (t-y-c\tau )}\). Thus,
Note that \(-\varDelta _1(0,c)+(4-2\sqrt{2})a_{22}u^+=-\vartheta _1+(4-2\sqrt{2})a_{22}u^+>0\) by (21) and Remark 1. We can choose \(\lambda _4^*>0\) such that \(-\varDelta _1(-\lambda ,c)+(4-2\sqrt{2})a_{22}u^+>0\) for \(\lambda \in (0,\lambda _4^*)\). Let
By Lemma 6, we can choose \(\delta _1>0\) such that
for \(\delta \in [\varepsilon _1,\varepsilon _1+\delta _1]\). Let \(\delta ^{**}=\varepsilon _1+\delta _1\).
If \(t\in (t_3,0]\), noting that \(\varepsilon _1e^{-\lambda t}\) is decreasing on \((t_3,0]\), we can choose \(\lambda _5^*>0\) small enough such that \(\varepsilon _1e^{-\lambda _5^*t_3}=\varepsilon _1+\delta _1=\delta ^{**}\). Thus, we have \(\varepsilon _1\le \varepsilon _1e^{-\lambda t}<\delta ^{**}\) for \(t\in (t_3,0]\) and \(\lambda \in (0,\lambda _5^*)\). Therefore,
If \(t>0\), then we have
Since \(\max \left\{ (2\sqrt{2}-2)a_{22}u^+\varepsilon _1 -a_{22}\varepsilon _1^2\right\} =(3-2\sqrt{2})a_{22}(u^{+})^2\) and
we know that there exists \(\varepsilon _1^{**}(0<\varepsilon _1^{**}<(\sqrt{2}-1)u^+)\) such that
Taking \(\varepsilon _1'=\max \{\varepsilon _1^{*},\varepsilon _1^{**}\}\), we obtain \(I_3(\lambda ,t)\ge 0\) for \(\varepsilon _1\in \left( \varepsilon _1',(\sqrt{2}-1)u^+\right) \).
Summarizing the above discussions, we have
for any \(\lambda \in (0,\min \{\lambda _4^*,\lambda _5^*\})\).
For \({\underline{\psi }}(t)\), if \(t\le t_4\), then \({\underline{\psi }}(t)=e^{\lambda _3t}-qe^{\eta \lambda _3t}\). Therefore, we obtain
If \(t>t_4\), then \({\underline{\psi }}(t)=v^+-\varepsilon _2e^{-\lambda t}, {\underline{\phi }}(t)\ge u^+-\varepsilon _1e^{-\lambda t}\), we have
Since \(-\varDelta _2(0,c)+bv^+=-\vartheta _2+bv^+=\frac{a_{32}(u^{+})^p}{1+m(u^{+})^p}>0\). We can choose \(\lambda _6^*>0\) such that \(-\varDelta _2(-\lambda ,c)+bv^+>0\) for \(\lambda \in (0,\lambda _6^*)\). Let
By Lemma 6, we can choose \(\delta _2>0\) such that
for \(\delta \in [\varepsilon _2,\varepsilon _2+\delta _2]\). Let \(\delta ^{***}=\varepsilon _2+\delta _2\).
If \(t\in (t_4,0]\), noting that \(\varepsilon _2e^{-\lambda t}\) is decreasing on \((t_4,0]\), we can choose \(\lambda _7^*>0\) small enough such that \(\varepsilon _2e^{-\lambda _7^*t_4}=\varepsilon _2+\delta _2=\delta ^{***}\). Thus, we have \(\varepsilon _2\le \varepsilon _2e^{-\lambda t}<\delta ^{***}\) for \(t\in (t_4,0]\) and \(\lambda \in (0,\lambda _7^*)\). Therefore,
If \(t>0\), using \(\varepsilon _1\in \left( 0,(\sqrt{2}-1)u^+\right) \) and \(\varepsilon _2\in \left( 0,\nicefrac {v^+}{2}\right) \), we get
If p is odd, we have
If p is even, we have
Therefore,
On the other hand, if \(\varepsilon _2=\nicefrac {v^+}{2}\), then
Thus, there exists \(\varepsilon _2^{**}\left( 0<\varepsilon _2^{**}<\nicefrac {v^+}{2}\right) \) such that
Taking \(\varepsilon '_2=\max \{\varepsilon _2^{*},\varepsilon _2^{**}\}\), we obtain \(I_4(\lambda ,t)\ge 0\) for \(\varepsilon _2\in \left( \varepsilon '_2,\nicefrac {v^+}{2}\right) \).
Summarizing the above discussions, we have
for \(\lambda \in (0,\min \{\lambda _6^*,\lambda _7^*\})\). Thus, \(({\underline{\phi }}(t),{\underline{\psi }}(t))\) is a lower solution of (15). \(\square \)
Now we obtain and state the main result in this paper.
Theorem 6
Assume that
hold. Then, for every \(c>c^*\), system (3) has a traveling wave solution \((\phi (t),\psi (t))\) connecting two equilibria \(E_0(0,0)\) and \(E_3(u^+,v^+)\). Furthermore,
Proof
The existence result can be obtained by Theorem 5 and Lemmas 7–8. And now we prove (28). Because
we have
which leads to
Therefore, (28) is proved. \(\square \)
References
Dunbar, S.R.: Travelling wave solutions of diffusive Lotka–Volterra equations. J. Math. Biol. 17, 11–32 (1983)
Dunbar, S.R.: Traveling wave solutions of diffusive Lotka–Volterra equations: a heteroclinic connection in \({\mathbb{R}}^4\). Trans. Am. Math. Soc. 286, 557–594 (1984)
Dunbar, S.R.: Traveling waves in diffusive predator–prey equations: periodic orbits and point-to-periodic heteroclinic orbits. SIAM J. Appl. Math. 46, 1057–1078 (1986)
Huang, J., Lu, G., Ruan, G.: Existence of traveling wave solutions in a diffusive predator–prey model. J. Math. Biol. 46, 132–152 (2003)
Li, W., Wu, S.: Traveling waves in a diffusive predator–prey model with Holling type-III functional response. Chaos Solitons Fractals 37, 476–486 (2008)
Yang, D., Liu, L., Wang, H.: Traveling wave solution in a diffusive predator–prey system with Holling type-IV functional response. Abstr. Appl. Anal. 409264 (2014)
Lin, X., Weng, P., Wu, C.: Traveling wave solutions for a predator–prey system with Sigmoidal response function. J. Dyn. Differ. Equ. 23, 903–921 (2011)
Huang, Y., Weng, P.: Periodic traveling wave train and point-to-periodic traveling wave for a diffusive predator-prey system with Ivlev-type functional response. J. Math. Anal. Appl. 417, 376–393 (2014)
Wu, C., Yang, Y., Weng, P.: Traveling waves in a diffusive predator–prey system of Holling type: point-to-point and point-to-periodic heteroclinic orbits. Chaos Solitons Fractals 48, 43–53 (2013)
Hsu, C., Yang, C., Yang, T., Yang, T.: Existence of traveling wave solutions for diffusive predator–prey type systems. J. Differ. Equ. 252, 3040–3075 (2012)
Huang, W.: Traveling wave solutions for a class of predator–prey systems. J. Dyn. Differ. Equ. 24, 633–644 (2012)
Huang, Y., Weng, P.: Traveling waves for a diffusive predator–prey system with general functional response. Nonlinear Anal. Real. World Appl. 14, 940–959 (2013)
Zhang, G., Li, W., Lin, G.: Traveling waves in delayed predator–prey systems with nonlocal diffusion and stage structure. Math. Comput. Model. 49, 1021–1029 (2009)
Ge, Z., He, Y.: Traveling wavefronts for a two-species predator-prey system with diffusion terms and stage structure. Appl. Math. Model. 33, 1356–1365 (2009)
Zhang, X., Xu, R.: Traveling waves of a diffusive predator–prey model with nonlocal delay and stage structure. J. Math. Anal. Appl. 373, 475–484 (2011)
Ge, Z., He, Y., Song, L.: Traveling wavefronts for a two-species ratio-dependent predator–prey system with diffusion terms and stage structure. Nonlinear Anal. Real. World Appl. 10, 1691–1701 (2009)
Hong, K., Weng, P.: Stability and traveling waves of diffusive predator–prey model with age-structure and nonlocal effect. J. Appl. Anal. Comput. 2, 173–192 (2012)
Lv, Y., Yuan, R., Pei, Y.: Effect of harvesting, delay and diffusion in a generalist predator–prey model. Appl. Math. Comput. 226, 348–366 (2014)
Hong, K., Weng, P.: Stability and traveling waves of a stage-structured predator–prey model with Holling type-II functional response and harvesting. Nonlinear Anal. Real. World Appl. 14, 83–103 (2013)
Xia, J., Yu, Z., Zheng, S.: Stability and traveling waves in a Beddington–DeAngelis type stage-structured predator–prey reaction–diffusion systems with nonlocal delays and harvesting. Adv. Differ. Equ. 1, 65 (2017)
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by V. Ravichandran.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This work was supported by the Scientific Research Foundation of Ludong University under Grant [No. LY2015003].
Rights and permissions
About this article
Cite this article
Yan, W. Traveling Waves in a Stage-Structured Predator–Prey Model with Holling Type Functional Response. Bull. Malays. Math. Sci. Soc. 44, 407–434 (2021). https://doi.org/10.1007/s40840-020-00953-4
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40840-020-00953-4