1. Introduction
In this paper, we shall establish the existence of extremal solutions for the nonlinear fourth-order differential equation
where
.
Recently, differential equations of fourth-order have received more and more attention due to their various applications in science and engineering such as physics, control of dynamical systems etc. For example, The cantilever beam equation of problem (
1) is a simplified mechanical model. This cantilever beam equation models the deformations of an elastic beam in equilibrium state, whose one end-point is fixed and the other is free [
1,
2]. Owing to its significance in physics, a number of works are devoted to the existence of solutions of fourth-order differential equations with different boundary conditions [
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14]. The methods used in these works are the Krasnosel’skii’s fixed point theorem [
3,
4], critical point theorem [
5], the contraction mapping principle [
6,
7,
8], the topological degree theory [
9,
10] the fixed point index [
10,
11,
12], the Ekeland variational principle [
13], and bifurcation theory [
14].
The existence of positive solutions for the simply fourth-order boundary value problem
which
f does not contain any derivative terms has been discussed by several authors, see [
2,
15,
16,
17]. In References [
15,
16,
17], (
2) appears as a special case of the
focal boundary value problems for
and
. In all these works the Krasnoselskii’s fixed point theorem are applied.
For the cantilever beam equation with a nonlinear boundary condition of third-order derivative
the existence of solutions was considered by Ma [
18] and Ma et al. [
19] respectively based on variational methods and the contraction principle. The boundary condition in (
3) may be interpreted in a material sense as the beam having a clamped end at
and a shear force resting on the bearing
g at
.
For the nonlinear fourth-order boundary value problem
the existence of positive solutions has also been discussed by making use of the monotonically iterative technique and applying the successively approximate method, see [
20].
Alves et al. [
21] considered the cantilever beam equation
where
is continuous. The existence of monotone positive solutions is obtained by using the monotone iteration method.
Many scholars have considered the case of the fourth-order boundary value problem that
f contains the fully derivative terms
In [
22], Li used the fixed point index theory in cones to obtain the existence results of problem (
16) when
is superlinear or sublinear growth on
. In [
23], Li and Chen extended the existence result by letting
f may be superlinear growth and have negative value. Using the method of lower and upper solutions and the monotone iterative technique, some existence results are obtained in [
24]. For fully fourth-order nonlinear BVPs with other boundary conditions, the existence of solutions has been discussed by the use of nonlinear analysis method such as the lower and upper solution method [
25], Rus’s contraction mapping [
26], the monotone iterative technique [
27], the Fourier analysis method and Leray-Schauder fixed point theorem [
28]. However, the key to the application of the monotone iterative technique use in [
21,
24,
27] is the monotonicity assumptions on nonlinearity
f.
Inspired by the work mentioned above, the aim of this paper is to discuss the existence of extremal solutions to the boundary value problem of the nonlinear differential Equation (
1) by the monotone iterative technique and the upper and lower solution method. According to the author’s knowledge, it is the first application of this method to such problems under nomonotonicity assumptions on unknown function and monotonicity assumptions on the first order derivative of unknown function in nonlinearity. The paper is organized as follows. In
Section 2, we present here the necessary lemmas and establish two new comparison results. In
Section 3, we give the definitions of the upper and lower solutions and obtain the existence results of extremal solutions of the problems (
1) and (
2).
2. Preliminaries
In this sections, we present Green’s function, some lemmas and comparison results that will be used to prove our main results.
Let be a Banach space endowed with the maximum norm .
Lemma 1 ([
21]).
For , the linear boundary value problemhas the unique solutionwhere is the Green’s function defined by From the expression of
G, we easily verify that
, the partial derivative of
to
t, is given by
Lemma 2 ([
19,
22]).
The following inequalities hold true.- (1)
- (2)
- (3)
- (4)
Lemma 3. Assume that the nonnegative constant M satisfiesthe boundary value problemhas the unique solutionwhere Proof. By Lemma 1, we know the solution of problem (
7) as follows
Define the operator
given by
and let
It is clear that the operator
T is a positive linear continuous operator, and we can rewrite (
8) as
where
I stands for the identity operator. For any
, by the definition of operator norm, it follows that
Note that
, then we get
Thus, the operator
T is a contraction mapping. By Banach fixed-point theorem,
T has a unique fixed point in
E, or equivalently, the problem (
7) has a unique solution
.
It follows from the perturbation theorem of identity operator that
has a bounded inverse operator
Though direct calculation, we have
then, we can obtain
Thus, we have
Similarly, we can obtain
and
This is,
Thus, we get the solution of problem (4)
□
Remark 1. It follows from the proof of Lemma 3 that the series
converges uniformly on
and all functions
,
,
are continuous on
. Furthermore, by the differentiability of parametrized integrals, we obtain
and
This together with the expression of
implies that
,
are continuous on
.
Define
by
Based on the continuity of functions H and , standard arguments show that the following lemma hold.
Lemma 4. F is complete continuous.
Lemma 5. (Comparison result) Assume satisfieswhere the nonnegative constant M satisfying (6) andthen and for . Proof. Let
and
,
,
,
, then
for
and
. By Lemma 3, the linear problem (
7) has a unique solution
Moreover,
Now, we consider
for
. Let
, by Lemma 2, we have
Let
, we have
Thus, we can gain
Since
and
is convergence, we get
By (
12), we know
for
.
Next, we claim that
for
. Let
, then we have
By simple calculation and deduction, we can get
and
By (
13), we have
Thus, we can obtain that
for
.
Next, we consider
for
. Let
, we gain
Let
, we obtain
Therefore, we know
Since
and
is convergence, we get
By (
14), we know
for
.
Lastly, we consider
for
, where
Though calculation and deduction, we have
and
By (
15), we get
Thus, we can obtain that
for
. □
If the condition replaced by , the result in Lemma 5 may be invalid. However, similar to the proof of Lemma 5, we have the following comparison result.
Lemma 6. Assume satisfieswhere the nonnegative constant M satisfying (6), (12) andthen for . 3. Main Results
Definition 1. A function is called a lower solution of problem (1) if it satisfies Definition 2. A function is called a upper solution of problem (1) if it satisfies For
, we write
if and only if
and
for all
. In such a case, we denote
In the following, we list the assumptions to be used throughout our main results.
Assume that the functions
are lower and upper solutions of the problem (
1) respectively, and
.
For fixed , is monotone nondecreasing to y.
The function
satisfies
where
satisfying Lemma 5 and
.
Theorem 1. Assume that M satisfies , and . Then there exist monotone sequences which converge in to the extremal solutions of the problem (1) in , respectively. Proof. For any
, we consider the following problem:
From the proof of Lemma 1, the problem (
17) has a unique solution
, which can be expressed as
Define an operator
written as
So,
is a solution of the problem (
17) if and only if
is the fixed point of
A.
Define a Nemytsky operator
written as
Obviously,
and
A is compact. Moreover, the operator
A has the following properties:
- (i)
, ;
- (ii)
, if .
To prove (i), let
, and
. Then from condition
and the definition of the lower solution, we obtain
Then, from Lemma 5, we get
for
, that is,
. Similarly, we can prove that
.
To prove (ii), let
with
. Suppose that
. Let
. By condition
, we get
By Lemma 5, we deduce
which implies
. Therefore,
A is a monotone operator on
.
Let
, by (i) and (ii), we have
and
Note that
and
are monotone nondecreasing and are bounded from above, and that
and
are monotone nonincreasing and are bounded from below. Then, by the completely continuity of operator
A and
for all
, we obtain
uniformly on
, respectively. And the limit functions
are solutions of the problem (1).
In the following, we prove
,
are extremal solutions of the problem (
1) in
. Let
be a solution of the problem (
1). In view of the monotonicity of
A and
, we conclude
which yields
Therefore, we have
. This shows
and
are minimal solution and maximal solution of the problem (
1) in
, respectively. This ends the proof. □
For the boundary value problem (
2), appears as the special case of problem (
1) that
f does not contain first-order derivative term, the definition of the upper and lower solutions can be weakened.
Definition 3 ([
24]).
A function is called a lower solution of problem (2) if it satisfies Definition 4 ([
24]).
A function is called a upper solution of problem (2) if it satisfies Based on Lemma 6, we present the existence of extremal solutions for problem (
2).
Theorem 2. Assume that is continuous, problem (2) has a lower solution and an upper solution with for , and f satisfies the following condition:where satisfying Lemma 6 and . Then there exist monotone sequences which converge in to the extremal solutions of the problem (2) in , respectively. 4. Example
Take
,
and
, then we have
and
It shows that condition
of Theorem 1 holds.
Note that the definition of f, f is monotone nondecreasing to for fixed . Therefore, the condition of Theorem 1 holds.
Let
. Then, for
,
,
,
where
satisfying Lemma 5. Thus, the condition
of Theorem 1 holds.
In consequence, the problem (
18) has the extremal solutions in
.