Abstract
This paper deals with the existence and multiplicity of positive solutions for a system of second-order discrete boundary value problem. The main results are obtained via Jensen’s inequalities, properties of concave and convex functions, and the Krasnosel’skii-Zabreiko fixed point theorem. Furthermore, concave and convex functions are employed to emphasize the coupling behaviors of nonlinear terms \(f\) and \(g\) and we provide two explicit examples to illustrate our main results and the coupling behaviors.
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1 Introduction
The study of discrete boundary value problems has captured special attention in the last years. We refer reader to the recent results [1–9] and the references therein. The studies regarding such type of problems can be placed at the interface of certain mathematical fields such as nonlinear partial differential equations and numerical analysis. On the other hand, they are strongly motivated by their applicability in mathematical physics.
Besides, we note that some systems of discrete boundary value problems (include integer-order and fractional order) are investigated by several authors in recent years, for example, see [10–13].
Sun and Li in [10] studied the following boundary value problem of discrete systems
subject to the boundary value conditions
They obtained, under some assumptions on \(f_1,f_2\), some sufficient conditions for the existence of one or two positive solutions to the system using nonlinear alternative of Leray-Schauder type and Krasnosel’skii fixed point theorem in a cone.
Henderson et al. [11] considered the following systems of three-point discrete boundary value problems, as a generalization of [10]
subject to the boundary value conditions
where \(\eta \in \{1,2,\ldots ,N-1\},\alpha >0,\beta >0,\lambda ,\mu >0\) and \(f,g,a, \mathrm{and}\, b\) are non-negative. They deduced the existence of the eigenvalues \(\lambda \) and \(\mu \) yielding at least one positive solutions to the systems (1.2) under some assumptions on \(f,g,a\), and \(b\) with weakly coupling behaviors. Their main tools is the Guo-Krasnosel’skii fixed point theorem in cones.
In [12], Goodrich generalized (1.2) to the following discrete fractional difference boundary value problem with more general boundary conditions
for \(\ t\in [0,b]_{{\mathbb {N}}_0}, \) subject to the nonlocal boundary value conditions
It should be noted that the paper generalizes some results both on discrete fractional boundary value problems and on discrete integer-order boundary value problems. We also note that the conditions on \(f,g\) and processing methods as well as the fixed point theorem, employed in the paper, are similar to those given by Henderson in [11].
Motivated by the above, we shall also investigate the existence of positive solution to the following system of second-order Dirichlet boundary value problem of discrete system
where \(T > 2\) is a fixed positive integer number, \(\triangle u(k)=u(k+1)-u(k), \triangle ^2u(k)=\triangle (\triangle u(k))\), \(f,g: \{1,2,\ldots ,T\}\times {\mathbb {R}}^+\times {\mathbb {R}}^+\rightarrow {\mathbb {R}}^+ ({\mathbb {R}}^+:=[0,+\infty ))\) are continuous. By positive solution of the problem (1.4), we mean that a pair of \((u,v)\) solves (1.4) and is non-negative and nontrivial.
Different to [11, 12], we will not study the problem of eigenvalue yielding a positive solution but lay emphasis on the coupling conditions of \(f\) and \(g\), which yield at least one positive solution. Although the papers have considered some problems similar to the problem (1.4), the nonlinearities \(f\) and \(g\) were weakly coupled. So [10–12] can not include ours. Our paper has the following characteristics: in our assumptions on the nonlinearities \(f\) and \(g\), they have a stronger coupling behaviors, which are characterized by convex and concave functions. We establish the existence of one or two positive solutions for boundary value problem (1.4) via the well-known Krasnosel’skii-Zabreiko fixed point theorem in a cone. Moreover, a priori estimates achieved by Jensen’s inequality and the first eigenvalue of relevant operator are applied in our calculation.
The rest of the paper is organized as follows. In Sect. 2, we introduce some lemmas which are used in main results. In Sect. 3, Some results on the existence of one or two positive solutions to boundary value the problem (1.4) are established. In Sect. 4, we offer two examples to illustrate our main results.
2 Preliminaries
Denote
Let \(E\) be the Banach space of real valued functions defined on the discrete interval \({\mathbb {T}}_2\) with the norm \(\Vert u\Vert =\max _{k\in {\mathbb {T}}_2}|u(k)|\), and therefore, \({\mathcal {X}}=E\times E\) with norm \(\Vert (u,v)\Vert =\max \{\Vert u\Vert ,\Vert v\Vert \}\) is also a Banach space. Let
and \(B_r=\{x\in {\mathcal {X}}: \Vert x\Vert < r\}\) for \(r>0\). It is easy to see \({\mathcal {P}}=P\times P\) is a cone in \({\mathcal {X}}\), and the partial ordering \(\le \) in \({\mathcal {X}}\) is induced by \({\mathcal {P}}\). We call \((u,v)\le (x,y)\), if \((x,y)-(u,v)\in {\mathcal {P}} \).
Lemma 2.1
(see [11]) Let \(h(k)\in C({\mathbb {T}}_1, {\mathbb {R}}^+)\). Then the following Dirichlet boundary value problem of discrete system
is equivalent to
where
Moreover, we easily obtain that \(G(k,l)\) has the following properties (see [13, Lemma 2]):
-
(1)
\(G(k,l)>0\) and \(G(k,l)=G(l,k)\), for \((k,l)\in {\mathbb {T}}_1\times {\mathbb {T}}_1\);
-
(2)
\(G(l,l)/T\le G(k,l)\le G(l,l) \), for \((k,l)\in {\mathbb {T}}_1\times {\mathbb {T}}_1\).
From Lemma 2.1, it is clear that the discrete system (1.4) is equivalent to
and by the above properties of \(G(k,l)\), it is easy to obtain \(u(k)\ge \Vert u\Vert /T, v(k)\ge \Vert v\Vert /T \) for \(k\in {\mathbb {T}}_1\), i.e., \(u,v \in P\).
For \( u,v\in P, k\in {\mathbb {T}}_2\), define operators \({\mathcal {T,S}}: \mathcal {P}\rightarrow E \) by
and operator \({\mathcal {A}}:{\mathcal {P}}\rightarrow {\mathcal {X}}\) by
Lemma 2.2
The operators \({\mathcal {T,S}}:\) \({\mathcal {P}}\rightarrow P\) are completely continuous, and then \({\mathcal {A}}: {\mathcal {P}}\rightarrow {\mathcal {P}}\) is completely continuous.
Proof
From the non-negativity of \(G(k,l)\) and \(f\), it follows that \({\mathcal {T}}(u,v)(k)\ge 0,\ {\mathcal {S}}(u,v)(k)\ge 0,\) for \(k\in {\mathbb {T}}_2\). Moreover, by (2) in Lemma 2.1, one gets
for \(k\in {\mathbb {T}}_1\). Therefore, \({\mathcal {T}}(u,v)(k)\ge \Vert {\mathcal {T}}(u,v)\Vert /T.\) This indicates that \({\mathcal {T}}: {\mathcal {P}}\rightarrow P\). Similarly, we may also prove that \({\mathcal {S}}: {\mathcal {P}}\rightarrow P\). Thus, from the definition of operator \({\mathcal {A}}\), we conclude that \({\mathcal {A}}: {\mathcal {P}}\rightarrow {\mathcal {P}}\).
A relatively straightforward application of the Arzela-Ascoil theorem reveals that both operators \({\mathcal {T}}\) and \({\mathcal {S}}\) are completely continuous. Hence \({\mathcal {A}}\) is a completely continusous operator. This completes the proof.\(\square \)
From the definition of operator \({\mathcal {A}}\), we note that the problem (1.4) has a pair of positive solutions if and only if the operator \({\mathcal {A}}\) has a fixed point in \({\mathcal {P}}\).
Lemma 2.3
Let \(\phi (k)=\sin (k\pi )/(T+1),\ k\in {\mathbb {T}}_2 ,\ \lambda =4\sin ^2(\pi /(2T+2)).\) Then
Proof
From [6, Lemma 2.2], we acquire that \(\lambda \sum _{l=1}^{T}G(k,l)\phi (l)= \phi (k), k\in {\mathbb {T}}_2 \). Since \(\phi (k)\) vanishes at \(k=0, \ T+1\), we have \(\lambda \sum _{l=1}^{T}G(k,l)\phi (l)= \phi (k), k\in {\mathbb {T}}_1\). By (1) in Lemma 2.1, we see \(G(k,l)\) is a symmetric function about \(k,l\in {\mathbb {T}}_1\), that is, \(G(k,l)=G(l,k)\). Thus \(\lambda \sum _{l=1}^{T}G(l,k)\phi (l)= \phi (k)\) for \(k\in {\mathbb {T}}_1\). Hence, (2.6) is true. This completes the proof.\(\square \)
Lemma 2.4
(see [14]) Let \(E\) be a real Banach space and \(P\) a cone in \(E\). \(B_R\) and \(B_r\) are bounded open sets in E, and 0 \(\in B_r, \overline{B}_r \subset B_{R}. \,A:(\overline{B}_R\backslash B_r)\cap P\rightarrow P\) is a completely continuous operator. If either (1) \(Av\nleqslant v\) for each \(P\cap \partial B_r\) and \(Av\ngeqslant v\) for each \(P\cap \partial B_R\) or (2) \(Av\ngeqslant v\) for each \(P\cap \partial B_r\) and \(Av\nleqslant v\) for each \(P\cap \partial B_R\), then \(A\) has at least one fixed point on \((B_R\backslash \overline{B}_r)\cap P\).
3 Main Results
In this section, we set
and \(\lambda \) is defined by Lemma 2.3. Now we list our assumptions.
(H1) There exist \(p,q\in C({\mathbb {R}}^+,{\mathbb {R}}^+)\) and constant \(c>0\) such that \(p\) is concave on \({\mathbb {R}}^+\),
and
(H2) There exist \(\alpha ,\beta \in C({\mathbb {R}}^+,{\mathbb {R}}^+)\) and a sufficiently small constant \(r>0\) such that \(\alpha \) is convex and strictly increasing on \({\mathbb {R}}^+\),
and
(H3) There exist \(p,q\in C({\mathbb {R}}^+,{\mathbb {R}}^+)\) and a sufficiently small constant \(r>0\) such that \(p\) is concave and nondecreasing on \({\mathbb {R}}^+\),
and
(H4) There exist four non-negative constants \(a,\ b,\ c,\ d\), and \(e>0\) such that \(\lambda >a,\ \lambda >d \) and \((\lambda -a)(\lambda -d)>bc\),
(H5) There exists \(M>0\) such that
(H6) There exists \(N>0\) such that
where \(\eta := T/\sum _{l=1}^{T}G(l,l)\).
Remark 3.1
Equation (3.2) implies that \(\lim _{t\rightarrow +\infty }p(t)=+\infty \), and \(p\) is concave on \({\mathbb {R}}^+\), therefore, \(p\) is strictly increasing on \({\mathbb {R}}^+\).
Theorem 3.1
Suppose (H1) and (H2) hold. Then problem (1.4) has at least one positive solution.
Proof
If (H2) holds, we claim that
For contradiction, we assume that there exists \((u,v)\in {\mathcal {P}}\cap \partial {B}_r\) such that \((u,v) \le {\mathcal {A}}(u,v)\), that is, \(u\le {\mathcal {T}}(u,v), v\le {\mathcal {S}}(u,v)\). By (3.3), it follows that
\(\forall (k,u,v)\in {\mathbb {T}}_1\times [0,r]\times [0,r]\), and then
It follows from (3.4) that \(\alpha (K\beta (0))\le 0\). Note that \(\beta \in C({\mathbb {R}}^+,{\mathbb {R}}^+)\) and \(\alpha \) is strictly increasing, we get \(\alpha (0)\le \alpha (K\beta (0))\le 0\), and then \(\alpha (0)=0\) for \(\alpha \in C({\mathbb {R}}^+,{\mathbb {R}}^+)\). Furthermore, we can get
by convex nature of \(\alpha \) and Jensen’s inequality. Substituting (3.11) into the first inequality in (3.10), we acquire
Multiply both sides of the above inequality by \(\phi (k)\) and sum for \(k=1\) to \(T\), and by (2.6) and (3.4) to obtain
Which implies \(\sum _{k=1}^{T}\phi (k)u(k)=0\) since \(\gamma _2\in (0,1)\), therefore, \(u\equiv 0\). Equations (3.4) and (3.11) lead to
Since \(\alpha \) is strictly increasing, then \(v\equiv 0\), which contradict \((u,v)\in {\mathcal {P}}\cap \partial B_r\). Hence, (3.8) is true.
On the other hand, if (H1) holds, by (3.1) and the definitions of \({\mathcal {T}}\) and \({\mathcal {S}}\), we see
where \(c_1=Kc\). Let
Then we shall prove that \({\mathcal {M}}_1\) is bounded in \({\mathcal {P}}\). In fact, if \((u,v)\in {\mathcal {M}}_1\), then \(u\ge {\mathcal {T}}(u,v)\) and \(v\ge {\mathcal {S}}(u,v)\). From (3.12), it follows that
By the concavity and increasing nature of \(p\) and the second inequality of (3.13), in view of Jensen’s inequality and \(p(a+b)\le p(a)+p(b)\) for \(a,b\ge 0\) (see Lemma 5 in [15]), we obtain
Substitute (3.14) into the first inequality of (3.13), and use (3.2) to obtain
where \(c_2=2Kc+Kp(c_1)\). Multiply both sides of the above by \(\phi (k)\) and sum for \(k=1\) to \(T\) and use (2.6) to obtain
Consequently, \(\sum _{k=1}^{T}u(k)\phi (k)\le c_2\sum _{k=1}^{T}\phi (k)/(\gamma _1-1)\). By (2.1), we acquire
therefore,
Multiply the first inequality of (3.13) by \(\phi (k)\) and sum for \(k=1\) to \(T\) and use (2.6) to obtain
which implies
For any \((u,v)\in {\mathcal {M}}_1\), we first assume \(v\not \equiv 0\), thus \(p(\Vert v\Vert )>0\) by Remark 3.1. And from \(v\in P\), it follows that
Consequently, by (3.19) we get \(p(\Vert v\Vert )\le T\lambda ( \Vert u\Vert +c_1).\)
By Remark 3.1, we know that \(p\) is strictly increasing, thus \(v\) is bounded and then there exists \(c_3>0\) such that
(If the \(v\equiv 0\), then the inequality \(\Vert v\Vert \le c_3\) also hold. So we first assume \(v\not \equiv 0\).) According to (3.20) and (3.18) we know \({\mathcal {M}}_1\) is bounded in \({\mathcal {P}}\). Set \(R> \sup {\mathcal {M}}_1\) and \(R>r\), then
Consequently, by (2) in Lemma 2.4, (3.8) and (3.21) indicate that \({\mathcal {A}}\) has at least one fixed point in \((B_R\backslash \overline{B}_r)\cap {\mathcal {P}}\). Therefore, (1.4) has at least one positive solution. This completes the proof.
Theorem 3.2
Assume (H3) and (H4) hold, then problem (1.4) has at least one positive solution.
Proof
By (3.5), we have
for \((k,u,v)\in {\mathbb {T}}_1\times [0,r]\times [0,r]\). Let
If \((u,v)\in {\mathcal {M}}_2\), then \(u\ge {\mathcal {T}}(u,v), v\ge {\mathcal {S}}(u,v)\), that is,
By the increasing and concave nature of \(p\) together with the second inequality of (3.23), applying Jensen’s inequality, it follows that
Substituting the inequality (3.24) into the first inequality of (3.23), we obtain
Multiply both sides of the above by \(\phi (k)\) and sum for \(k=1\) to \(T\), and use (2.6) and (3.6) to obtain
Since \(\gamma _3>1\), it implies \(\sum _{k=1}^{T}u(k)\phi (k)=0\), and then \(u\equiv 0\). It follows from the first inequality of (3.23) that \(p(v)=0\), thus \(v\equiv 0\) as \(p\) is nondecreasing (see Lemma 2.5 in [16]). It proves \({\mathcal {M}}_2=\{(0,0)\}\). Hence
On other hand, for all \( (k,u,v)\in {\mathbb {T}}_1\times {\mathbb {R}}^+\times {\mathbb {R}}^+\), it follows that by (3.7),
Next, we will prove that there exists a number \(R>r\) such that set
is bounded. Let \((u,v)\in {\mathcal {M}}_3\). Then, by (3.26),
Multiply both sides of the above by \(\phi (k)\) and sum for \(k=1\) to \(T\) and use (2.6) to obtain
which can be written in the form
By (3.7), let \(\rho :=(\lambda -a)(\lambda -d)-bc\), the above implies
from which we have
Noting that \((u,v)\in {\mathcal {P}}\), we obtain
and thus
This proves \({\mathcal {M}}_3\) is bounded. Taking \(R>\max \{\sup {\mathcal {M}}_3, r\}\), we obtain
By (1) in Lemma 2.4, (3.25) and (3.28) indicate \({\mathcal {A}}\) has at least one fixed point in \((B_R\backslash \overline{B}_r)\cap {\mathcal {P}}\). Therefore (1.4) has at least one positive solution. This completes the proof.\(\square \)
Theorem 3.3
Assume that (H1), (H3), and (H5) hold. Then problem (1.4) has at least two positive solutions.
Proof
By (H5), we have
for any \((k,u,v)\in {\mathbb {T}}_1\times \partial B_M\times \partial B_M\), from which we obtain
It implies that
On the other hand, by (H1) and (H3), we take \(R>M\) and \(0<r<M\) such that (3.21) and (3.25) hold (see Theorem 3.1 and 3.2). Combining (3.21), (3.25) and (3.29), by Lemma 2.4, we acquire \(\mathcal {A}\) has at least two positive fixed points, one in \((B_R\backslash \overline{B}_M)\cap {\mathcal {P}}\) and another in \((B_M\backslash \overline{B}_r)\cap {\mathcal {P}}\). Thus (1.4) has at least two positive solutions. The proof is completed.\(\square \)
Theorem 3.4
Suppose (H2), (H4), and (H6) hold. Then problem (1.4) has at least two positive solutions.
Proof
By (H6) and (2) in Lemma 2.1, we have
for any \((k,u,v)\in {\mathbb {T}}_1\times \partial B_N\times \partial B_N\), from which we obtain
which implies that
On the other hand, by (H2) and (H4), we take \(0<r<N\) and \(R>N\) such that (3.8) and (3.28) hold (See Theorem 3.1 and 3.2). Combining (3.8), (3.28) and (3.30), by Lemma 2.4, we acquire \({\mathcal {A}}\) has at least two positive fixed points, one in \((B_R\backslash \overline{B}_N)\cap {\mathcal {P}}\) and another in \((B_N\backslash \overline{B}_r)\cap {\mathcal {P}}\). Thus (1.4) has at least two positive solutions. The proof is completed.\(\square \)
4 Numerical Examples
We now present two numerical examples illustrating Theorem 3.1 and 3.2, respectively.
Example 4.1
Consider the problem, for \(k\in {\mathbb {T}}_2=\{0,1,2,\ldots ,51\}\),
In the following, we will check that the example (4.1) fits the conditions (H1) and (H2).
First, we compute \(K=325\) and \(\lambda =0.0038\). We have set
Set \(p(v)=v^{4/5}/2+10\) and \(q(u)=u^2/1300+1/5\). Then \(p,q:[0,+\infty )\rightarrow [0,+\infty )\) are continuous and \(p\) is concave. Observe that
and that
So, there exist constant \(c=10>0\) such that (3.1) of (H1) holds.
Moreover, taking \(\gamma _1=100>1\), we get
that is, inequality (3.2) of (H1) holds.
On the other hand, we shall check that conditions (H2) are satisfied. Set \(\alpha (v)=21v^{3/2}/5\) and \(\beta (u)=11u^2/3250\). Then \(\alpha ,\beta :[0,+\infty )\rightarrow [0,+\infty )\) are continuous and \(\alpha \) is convex and strictly increasing.
Obviously, for \(\Vert u\Vert \le 0.03=:r, \Vert v\Vert \le 0.03\) we observe that \(f(k,u,v)\le \alpha (v) \) and that \(g(k,u,v)\le \beta (u)\). Moreover, taking \(\gamma _2=0.99<1\), we obtain \(\alpha (K\beta (u))\le 0.0046u, \forall u\in [0,r]\). Thus, condition (H2) holds.
In summary, the example (4.1) fits the conditions of Theorem 3.1 and has at least one positive solution by the theorem.
Example 4.2
Consider the problem, for \(k\in {\mathbb {T}}_2=\{0,1,2,\ldots ,41\}\),
In the following, we will check that the example (4.2) fits the conditions (H3) and (H4).
First, we find \(K=210\) and \(\lambda =0.0059\). We have set
Set \(p(v)=\ln (v+1)\) and \(q(u)=u^2\). Then \(p,q:[0,+\infty )\rightarrow [0,+\infty )\) are continuous and \(p\) is concave and nondecreasing. We observe that
and
In fact, when \(r:=1.2\) the inequality (3.5) holds.
Moreover,
for \(\gamma _3=100,\forall u\in [0,r]\). So, (H3) holds.
In the following, we shall check (H4) is satisfied. Set \(a=0.0009 <\lambda ,b=0.004,e=0.5\) and \(c=0.006,d=0.0009<\lambda \), then \((\lambda -a)(\lambda -d)=2.5\times 10^{-5}>bc=2.4\times 10^{-5}.\) We get
and
Thus, (H4) holds. Therefore, we conclude that (4.2) has at least one solution by Theorem 3.2.
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Ding, Y., Xu, J. & Wei, Z. Positive Solutions for a System of Discrete Boundary Value Problem. Bull. Malays. Math. Sci. Soc. 38, 1207–1221 (2015). https://doi.org/10.1007/s40840-014-0063-3
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DOI: https://doi.org/10.1007/s40840-014-0063-3
Keywords
- Boundary value problem
- Positive solution
- Fixed point theorem
- Discrete systems
- Concave function and convex function