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Qualitative properties of a p-Laplacian population model with delay
Advances in Difference Equations volume 2017, Article number: 13 (2017)
Abstract
This paper is concerned with qualitative properties of the evolutionary p-Laplacian population model with delay. We first establish the existence of solutions of the model by using the method of parabolic regularization and energy estimate and give the uniqueness by a recursive process. Then, combining the upper and lower solution method and the oscillation theory of functional differential equations, we obtain the oscillation of all positive solutions about the positive equilibrium.
1 Introduction
This paper is concerned with the following evolutionary p-Laplacian with delay:
subject to the initial and boundary value conditions
where \(\Omega\subset\mathbb {R}^{N}\) is a bounded domain with smooth boundary, \(p\geq2\), \(a, b, c, \tau>0\) are all constants, \(m, n>0\) are integers satisfying \(m < n\), \(0< d(t)\in C([0,+\infty))\), and \(\eta\in L^{\infty}(\Omega\times[-\tau,0]) \cap L^{p}(-\tau,0; W^{1,p}(\Omega))\) is a nonnegative function satisfying some suitable compatibility conditions.
The equations of the form (1.1) have been suggested as a mathematical model of the general Logistic model with delay in biology [1]. The functions \(u(x,t)\) represent the spatial density of the population at space x and time t, the diffusion term \(\operatorname{div}(|\nabla u|^{p-2}\nabla u)\) represents the effect of dispersion in the habitat, which models a tendency to avoid crowding, and the speed of the diffusion is rather slow since \(p>2\), τ is the generation time, the boundary conditions (1.2) describe the living environment at the boundary and that there is no migration of individuals across the boundary ∂Ω, a denotes the birth rate, b is the inter-specific competition, which represents an advantage to the species in grouping together, in that it adds to the growth rate in regions of high population density, whereas c is the intra-specific competition for resources that inhibits population growth.
In the last few decades, there are many works on the existence and uniqueness of solutions for parabolic equations with delay(s) (see [2–7] and the references therein). For example, Hino et al. [2] studied the existence of almost periodic solutions of parabolic equations with infinity delay in Banach spaces. In [3], the authors established the existence of positive travelling fronts for N-dimensional delayed reaction diffusion systems. Pao [4, 5] discussed the global existence and uniqueness of coupled system of nonlinear parabolic equations with both continuous and discrete delays. However, most of the results in the literature are concerned with linear and semilinear parabolic equations with delay(s). But for the quasilinear parabolic equation, especially for the degenerate or singular parabolic equations, with delay(s) in nonlinear source terms, as far as we know, there are very few results.
The oscillation of solutions for delayed evolutionary equations has received widespread attention; see, for example, [8–14] and the references therein. For the ODE model, Gopalsamy and Ladas [8] studied the oscillation and asymptotic behavior of
The oscillation of all positive solutions about the positive equilibrium \(N^{*}\) is established, and the equilibrium \(N^{*}\) attracts the solutions of the initial value problem globally. It is known that the density of the population is not only dependent on time but also on the position in space. So, taking the spatial structure into account, in [11], the author investigated the oscillation of the positive equilibrium for the general Logistic model with linear diffusion. Then, in 1997, the asymptotic stability of system (1.1)-(1.3) without delay was investigated [12]. It is worth mentioning the works by Wang and Wang et al. [15, 16], who studied the oscillation of the population model for the case \(p=2\) of (1.1). Using the upper and lower solution method and theory of functional differential equation, the authors showed that all positive solutions of the model oscillate about the positive equilibrium. However, comparing to the linear diffusion equation with the property of infinite speed of propagation of perturbations, it should be more reasonable to introduce the nonlinear diffusion version of equation (1.1), namely
The advantage of this modified version lies in that it involves non-Newtonian filtration diffusion, which is more suitable to the real-world applications.
Motivated by [15], in the present paper, we investigate the oscillation of (1.1)-(1.3). As far as we know, few works concerned with the oscillation property were obtained for the quasilinear parabolic equations such as a non-Newtonian filtration equation with delay. The biggest difficulty lies in that the oscillation property is studied on a point-to-point basis. In fact, for the linear partial differential systems with delay, we can discuss the oscillation theory of classical solutions (see, e.g., [11, 14–17], and the references therein). However, because of the degeneracy and the singularity, equation (1.1) might not have classical solutions in general. Therefore, before studying the oscillation property, we require that solutions of problem (1.1)-(1.3) are appropriately smooth, which makes us have to first discuss the existence and uniqueness of a Hölder continuous solution. Using the method of parabolic regularization method and energy estimate, we investigate the existence of solutions for (1.1)-(1.3). Especially, we show the Hölder continuity of solutions. Then, according to a recursive process, we also give the uniqueness of the solution. Based on these results, we find that, for the non-Newtonian filtration equation, the oscillation phenomenon may occur. By employing the upper and lower solution method and the oscillation theory of functional differential equation, we establish a sufficient condition for all positive solutions of the equation to oscillate about the positive equilibrium.
This paper is organized as follows. In Section 2, we introduce some basic assumptions and the definition of weak solutions. Section 3 is devoted to the study of the existence of solutions. In Section 4, we establish the uniqueness of the solution. In Section 5, we investigate the oscillation of the solution and present some examples that show the applicability of our results.
2 Preliminaries
As preliminaries, in this section, we present the basic assumptions and the definition of weak solutions. First, we introduce some notations. For any \(T>0\), let
and denote
Because of the degeneracy and singularity, equation (1.1) may not have classical solutions in general, and hence we consider nonnegative solutions of equation (1.1) in the following weak sense.
Definition 2.1
A function \(u\in E\) is said to be a weak solution of problem (1.1)-(1.3) if for any \(T>0\), \(\varphi\in\mathring{C}^{\infty}(\overline{Q_{T}})\), and \(h(x)\in C_{0}^{\infty}(\Omega)\), we have the following integral equality:
and
In what follows, we also give the definition of quasi-upper and quasi-lower solutions.
Definition 2.2
A pair of functions \(\tilde{u}(x,t), \hat{u}(x,t)\in E\) is said to be coupled quasi-upper and quasi-lower solutions of equations (1.1)-(1.3) if \(\tilde{u}(x,t)\geq\hat{u}(x,t)\) in \(\Omega\times(-\tau,T)\) and they satisfy
in the weak sense, where \(\langle\hat{u},\tilde{u}\rangle\equiv\{u\in C(Q_{T}):\hat{u}\le u\le\tilde{u}\}\).
3 The existence of solutions
In this section, we study the existence of solutions for problem (1.1)-(1.3).
To study the existence of solutions, let us first consider the regularized problem
where \(\eta_{\varepsilon}(x,\theta)\) is a positive bounded function in \(C^{\infty}(Q_{\tau})\) satisfying the condition
The desired solution of problem (1.1)-(1.3) will be obtained by the limit of some subsequence of solutions \(u_{\varepsilon}\) of the regularized problem (3.1)-(3.3). We first need to establish the existence of solutions \(u_{\varepsilon}\), which can be done by using the method of upper and lower solutions and associated monotone iterations.
Theorem 3.1
If \(\eta_{\varepsilon}(x,\theta)>0\) for \((x,\theta)\in\Omega\times[-\tau,0)\), then (3.1)-(3.3) have a unique positive global solution in \(\Omega\times(-\tau,+\infty)\).
Proof
Since \(a > 0, c > 0\), and \(m < n\), without loss of generality, we may suppose that the maximum of the function \(f(s)=a+bs^{m}-cs^{n}\) is equal to M (\(M\geq a > 0\)) when \(s > 0\). Let \(\tilde{u}=M^{*}e^{M(t+\tau)}\), \(\hat{u}=0\), where \(M^{*}\geq \max_{(x,t)\in\Omega\times[-\tau,0)}\eta(x,t)\). It is easy to verify that, for any \(T> 0\), two functions ũ, û in \(\Omega\times(-\tau,T)\) are a couple of upper and lower solutions of (3.1)-(3.3). By Theorem 2.2 of [10], (3.1)-(3.3) have a unique solution \(u_{\varepsilon}(x, t)\) in \(\Omega\times(-\tau,T)\) and \(u_{\varepsilon}(x,t)\in \langle 0,\tilde{u}\rangle\). Since T is arbitrary and \(\eta_{\varepsilon}(x,\theta)\) is positive, (3.1)-(3.3) have a unique continuous positive global solution \(u_{\varepsilon}(x,t)\) in \(\Omega\times(-\tau,+\infty)\). □
We need the following lemma for the a priori estimates on solutions \(u_{\varepsilon}\).
Lemma 3.1
There exists a positive constant \(C_{GN}\) such that, for all \(u\in W^{1,p}(\Omega)\),
with \(0<\theta\le s<p^{*}\) and \(a=(\frac{N}{\theta}-\frac{N}{s})(1-\frac{N}{p}+\frac{N}{\theta})^{-1}\), where \(p^{*}=\frac{Np}{N-p}\) when \(N>p\) and \(p^{*}=\infty\) when \(N\le p\).
Lemma 3.2
Assume that \(u_{\varepsilon}\) is a solution of (3.1)-(3.3). Then there exists a positive constant C, independent of ε, such that
Proof
Multiplying equation (3.1) by \(u_{\varepsilon}^{s}\) (\(s\geq0\)) and integrating over Ω, we have
Here
Therefore, we have
Then,
where \(d_{m}=\min_{[0,T]}d(t)\). Let
Then inequality (3.4) with \(s=s_{k}\) becomes
To estimate the terms on the right-hand side of inequality (3.5), we apply Lemma 3.1 with \(\theta=1, s=\alpha_{k}\), and \(a=\frac{1-\frac{1}{\alpha_{k}}}{1-\frac{1}{p}+\frac{1}{N}}\) to get
and thus
where \(C_{1}\) is a constant independent of k.
Since \(a\alpha_{k}\in(0,\frac{Np(p-1)}{N(p-1)+p})\), we can apply Young’s inequality to estimate
and get
Applying the Poincaré inequality
we have
Since \(\|u_{k}(t)\|_{1}=\|u_{k-1}(t)\|_{\alpha_{k-1}}^{\alpha_{k-1}}\), we have
where \(C_{3}\) is a constant independent of k, and \(\chi_{k-1}=\max\{1, \sup_{t\in[0,T]}\|u_{k-1}(t)\|_{\alpha_{k-1}}\}\). Taking the continuity of \(\|u_{k}(t)\|_{\alpha_{k}}\) into account, we get that there exists \(t_{0}\) at which \(\|u_{k}(t)\|_{\alpha_{k}}\) reaches its maximum value, and then we have
where \(C_{4}\) is a constant independent of k, and \(\lambda=p^{\frac{(p-1)^{2}N}{p}}>1\). Therefore,
namely,
where \(f(k)=p^{k+1}-p^{k-1}-k-2\). Letting \(k\rightarrow\infty\), we get
where \(C_{5}\) is a constant independent of k and ε.
In what follows, we estimate \(\sup_{t\in[0,T]}\|u_{\varepsilon}(t)\|_{2}\).
Multiplying equation (3.1) by \(u_{\varepsilon}\) and integrating the resulting relation over Ω, we have
which, together with \(\int_{\Omega}d(t)(|\nabla u_{\varepsilon}|^{2}+\varepsilon)^{(p-2)/2}| \nabla u_{\varepsilon}|^{2}\,dx\geq0\), implies that
By Gronwall’s inequality we have
Therefore,
which, together with (3.7), gives \(\|u_{\varepsilon}\|_{L^{\infty}(Q_{T})}\le C\) for some C independent of ε. Thus, the proof of this lemma is completed. □
Lemma 3.3
Assume that \(u_{\varepsilon}\) is a solution of problem (3.1)-(3.3). Then there exists a positive constant C, independent of ε, such that
Proof
Integrating (3.8) over Ω, we have
Then,
that is,
which implies
Therefore, we get
Thus, the proof of this lemma is completed. □
Lemma 3.4
Assume that \(u_{\varepsilon}\) is a solution of problem (3.1)-(3.3). Then there exists a positive constant C, independent of ε, such that
Proof
Multiplying equation (3.1) by \(\frac{\partial u_{\varepsilon}}{\partial t}/d(t)\) and integrating over \(Q_{T}\), we have
Then,
that is,
which implies
Then, we have
So, we have
Therefore, we get
Thus, the proof of this lemma is completed. □
We are now in a position to present the proof of the existence of generalized solutions for problem (1.1)-(1.3).
Theorem 3.2
The initial and boundary value problem (1.1)-(1.3) admits at least one solution.
Proof
Let \(\varepsilon=1/h \) (\(h=1,2,\ldots\)), and let \(u_{h}\) be a solution of problem (3.1)-(3.3). According to Lemmas 3.2, 3.2, and 3.4, we see that
Furthermore, we can obtain the Hölder norm estimate of solutions
It suffices to prove that, for any \(t_{0}\in(0,T)\), u satisfies (3.9) on \(\Omega\times(t_{0},T)\).
Consider the mollifier
For any \(x_{1},x_{2}\in\Omega\),
Hence, by Lemma 3.3,
Here and below, C denotes a constant independent of ϵ.
Let \(0<\epsilon<t_{0}<t_{1}<t_{2}<T\), \(B(\Delta t)=B_{(\Delta t)^{1/2}}(x_{0})\), \(\zeta\in C_{0}^{1}(B(\Delta t))\), \(x_{0}\in\Omega\), \(\Delta t=t_{2}-t_{1}\). Then
Noting that, for any fixed \((x,t)\in Q_{T}\) with \(0 < \epsilon< t_{0} < t < T - \epsilon\), \(J_{\epsilon}(x-y,t-\gamma)\in C_{0}^{1}(Q_{T})\), from the regularized problem (3.1)-(3.3) we obtain
Substituting this into (3.11) gives
Now choose \(\delta(s)\in C_{0}^{1}(\mathbb{R})\) such that \(\delta(s)\geq 0\), \(\delta(s)=0\) for \(|s|\geq1\), and \(\int_{\mathbb{R}}\delta(s)\,ds=1\). For \(l>0\), define \(\delta_{l}(s)=\frac{1}{l}\delta(\frac{s}{l})\). By approximation we see that (3.12) holds for \(\zeta\in W_{0}^{1,1}(B(\Delta t))\). Thus, if we choose
in (3.12), then we have
Note that, for \(x\in B(\Delta t)\), \(\lim_{l\rightarrow0}\zeta_{l}(x)=1\), and if \(|x-x_{0}|<(\Delta t)^{1/2}-h\), then \(\delta_{l}((\Delta t)^{1/2}-|x-x_{0}|-2l)=0\), \(\delta_{l}\le\frac{C}{l}\), and
From (3.13) by Lemma 3.3 we obtain
Letting \(l\rightarrow0\) yields
from which by the mean value theorem it follows that there exists \(x^{*}\in B(\Delta t)\) such that
Using this inequality and (3.10), we derive
Combining (3.10) with (3.14), we have
where C is independent of h. The Hölder norm estimate of solutions is completed.
So by the Arzelà-Ascoli theorem there exist a subsequence of \(\{u_{h}\}^{\infty}_{h=1}\), supposed to be \(\{u_{h}\}^{\infty}_{h=1}\) itself, and a function
such that
Furthermore, for any \(\varphi\in C^{1}(\overline{Q}_{T})\), we have
(see Chapter 2 in [18]). Letting \(h\rightarrow\infty\) in
we see that u satisfies the integral identity in the definition of generalized solutions. So, problem (1.1)-(1.3) admits a solution u that satisfies
Moreover, from the arbitrariness of \(T>0\) we easily to see that the solution exists globally. □
4 The uniqueness of a solution
In this section, we study the uniqueness of a solution for problem (1.1)-(1.3). Our main result is the following.
Theorem 4.1
The solution of the initial and boundary value problem (1.1)-(1.3) is unique.
Proof
Assume that there exist nonnegative bounded functions \(u_{1}(x,t)\) and \(u_{2}(x,t)\) satisfying (1.1)-(1.3). We can see that
and
In fact, when \(t\in[0,\tau]\), that is, \(t-\tau\in[-\tau,0]\), we have \(u(x,t-\tau)=\eta(x,t-\tau)\). Then
Let \(H_{\varepsilon}(s)=\int_{0}^{s}h_{\varepsilon}\,d\rho\), \(h_{\varepsilon}(s)=\frac{2}{\varepsilon} (1-\frac{|s|}{\varepsilon } )_{+}\). Clearly, we can see that \(h_{\varepsilon}\in C(\mathbb{R})\) and, for all \(s\in\mathbb{R}\),
Multiplying the equation in (4.1) by \(H_{\varepsilon}(u_{1}-u_{2})\) and integrating by parts over \(\Omega\times[0,t]\), we have
Letting \(\varepsilon\rightarrow0\) in (4.2) (see Chapter 3 in [18]), we obtain
Since the maximum of the function \(f(s)=a+bs^{m}-cs^{n}\) is equal to M \((M\geq a > 0)\) when \(s > 0\), we have
Therefore,
It follows from Gronwall’s inequality that
which implies that
So we have
As in the previous proof, we arrive at
Thus,
that is, the solution of problem (1.1)-(1.3) is unique in \(\Omega\times[0,\tau]\).
When \(t\in[\tau,2\tau]\), that is, \(t-\tau\in[0,\tau]\), we have \(u_{1}(x,t-\tau)=u_{2}(x,t-\tau), (x,t)\in\Omega\times[0,\tau]\). Similarly to the previous proof, we easily obtain
By a recursive process we obtain
Thus, the uniqueness of the solution for (1.1)-(1.3) is obtained. The proof of Theorem 4.1 is completed. □
5 The oscillation of solutions
In this section, we show the oscillation of all positive solutions for problem (1.1)-(1.3) about the positive equilibrium. Due to the degeneracy of the equation, the oscillation is required to be analyzed in the frame of weak solutions rather than classical solutions. However, for simplicity of our arguments, we may assume that the solutions are appropriately smooth since we may consider approximate solutions of the approximate problem (3.1)-(3.3) and finally get the desired oscillation properties of problem (1.1)-(1.3) after a limit process.
Now, we give the definition of oscillation properties of solutions, as did in [15].
Definition 5.1
We say that the solution \(u(x, t)\) in \(\Omega\times\mathbb{R_{+}}\) of (1.1)-(1.3) oscillates about the positive equilibrium \(u^{*}\) if for any \(T > 0\), there exists \((x_{0},t_{0})\in\Omega\times[T,+\infty)\) such that \(u(x_{0}, t_{0})=u^{*}\); otherwise, we say that \(u(x,t)\) does not oscillate about \(u^{*}\).
In order to obtain the oscillation of solutions, we first consider the existence and uniqueness conditions of the positive equilibrium of equation (1.1) and give conditions for nonexistence of ultimately positive solution or negative solution of the evolutionary p-Laplacian with delay.
Lemma 5.1
Equation (1.1) has a unique positive equilibrium \(u^{*}\) that satisfies
Moreover, \(a+bu^{m}-cu^{n}<0\) if \(u>u^{*}\) and \(a+bu^{m}-cu^{n}>0\) if \(0< u< u^{*}\).
Proof
By the zero point theorem, since \(a > 0\) and \(c > 0\), it is clear that equation (1.1) has a unique positive equilibrium. Then, we also have
and
The proof of Lemma 5.1 is completed. □
The following lemma is from p.84 of [17].
Lemma 5.2
Assume that
Then
-
(1)
the nonlinear differential inequality with delay \(y'(t)+p(t)f(y(t-\tau))\le0\) has no ultimately positive solution;
-
(2)
the nonlinear differential inequality with delay \(y'(t)+p(t)f(y(t-\tau))\geq0\) has no ultimately negative solution.
In the following, we investigate a sufficient condition for all positive solutions of (1.1)-(1.3) to oscillate about the positive equilibrium.
Theorem 5.1
Suppose that
Then all positive solutions of problem (1.1)-(1.3) oscillate about the positive equilibrium.
Proof
Let \(u(x,t)\) be a nonoscillatory solution of system (1.1)-(1.3). By Definition 5.1 there exists \(T>0\) such that \(u(x,t)>u^{*}\) or \(u(x,t)< u^{*}\) when \((x,t)\in\Omega\times[T,+\infty)\). Therefore, we need to consider these two cases.
Case 1: \(u(x,t)>u^{*}\) for \((x,t)\in\Omega\times[T,+\infty)\). In general, we may suppose that \(u(x,t-\tau)>u^{*}\).
Let \(M(x,t)=u(x,t)-u^{*}>0\), \((x,t)\in\Omega\times[T,+\infty)\). We can see that
and
Substituting \(M(x,t)=u(x,t)-u^{*}\) into (1.1), since \(a+bu^{m}-cu^{n}<0\) for \(u>u^{*}\) and \(cu^{*(n-m)}-b>0\), by (5.1) we get
Since
it is clear that \(C_{m}^{k}< C^{n-m+k}_{n}\). At the same time, we observe from condition (5.2) that \(b-cu^{*(n-m)}<0\), which implies that
which gives
Integrating this inequality over Ω, we have
By the “Green formula” and boundary condition (1.2) we get
Therefore, if \(v(t)=\frac{1}{|\Omega|}\int_{\Omega}M(x,t)\,dx\) (\(t\geq T\)), then \(v(t)>0\). It follows from (5.4) and (5.5) that
which implies that \(v(t)\) is an ultimately positive solution of inequality (5.6).
On the other hand, condition (5.2) gives \((cnu^{*(n-1)}-mb)u^{*m}\tau>\frac{1}{e}\). This, combined with Lemma 5.2, yields that the differential inequality with delay (5.6) has no ultimately positive solution. This is a contradiction. Therefore, case 1 does not hold.
Case 2: \(0 < u(x,t) < u^{*}\) for \((x,t)\in\Omega\times[T,+\infty)\). Without loss of generality, we may also suppose that \(0< u(x,t-\tau)< u^{*}\).
Let \(u(x,t)=u^{*}e^{w(x,t)}\). Then we have \(w(x,t)<0\) and \(w(x,t-\tau)<0\). Taking \(u(x,t)=u^{*}e^{w(x,t)}\) in (1.1), with the help of (5.1) and the condition \(cu^{*(n-m)}-b>0\) \((m\geq2)\), we easily see that
Since \(bu^{*m}-cu^{*n}<0\) (due to \(cu^{*(n-m)}-b>0\)) and \(w(x,t-\tau)<0\), we obtain
Notice that \(a+bu^{*m}-cu^{*n}=0\). Then
Integrating (5.7) over Ω, we have
Denote \(v(t)=\frac{1}{|\Omega|}\int_{\Omega}w(x,t)\,dx<0\) (\(t\geq T\)). Then \(v(t)\) is the ultimately negative solution of the following differential inequality with delay:
Here \(f(v(t))=\frac{1}{|\Omega|}\int_{\Omega }(a+cu^{*n}e^{(n-1)w(x,t)})(e^{w(x,t)}-1)\,dx\).
On the other hand,
and
According to condition (5.2) and Lemma 5.2, we see that the differential inequality with delay (5.8) has no ultimately negative solution. This is a contradiction. Therefore, case 2 does not hold, too. That is to say, all positive solutions of problem (1.1)-(1.3) oscillate about the positive equilibrium. The proof of Theorem 5.1 is completed. □
Next, we give an example to show this phenomenon.
Example
Consider the following p-Laplacian population model with delay:
subject to the initial and boundary value conditions
It is obvious that \(u^{*}=1\) is the unique positive equilibrium of equation (5.9). For any initial \(\eta(x,\theta)\geq0\) with \(\eta(x,\theta)\not\equiv0\), we deduce from Theorem 3.2 that problem (5.9)-(5.11) has a unique continuous positive global solution \(u(x,t)\). It is not hard to check that problem (5.9)-(5.11) satisfies the conditions of Theorem 5.1.
In fact, we can take \(a=1\), \(b=1\), \(c=3\), \(d(t)=1\), \(\tau=\frac{1}{e}\), \(m=3\), \(n=4\). Then,
It follows from Theorem 5.1 that all positive solutions of this equation oscillate about the positive equilibrium \(u^{*}=1\).
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Acknowledgements
This work is partially supported by the National Science Foundation of China (11301345, 11671155, 11471127), the Project of Young Creative Talents in Higher Education of Guangdong (No. 2015KQNCX019) and Natural Science Foundation of SZU (201545).
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Yang, Y., Deng, J. Qualitative properties of a p-Laplacian population model with delay. Adv Differ Equ 2017, 13 (2017). https://doi.org/10.1186/s13662-017-1073-x
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DOI: https://doi.org/10.1186/s13662-017-1073-x