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Lower and upper solutions method to the fully elastic cantilever beam equation with support


The aim of this paper is to consider a fully cantilever beam equation with one end fixed and the other connected to a resilient supporting device, that is,

$$ \textstyle\begin{cases} u^{(4)}(t)=f(t,u(t),u'(t),u''(t),u'''(t)), \quad t\in [0,1], \\ u(0)=u'(0)=0, \\ u''(1)=0,\qquad u'''(1)=g(u(1)), \end{cases} $$

where \(f:[0,1]\times \mathbb{R}^{4}\rightarrow \mathbb{R}\), \(g: \mathbb{R}\rightarrow \mathbb{R}\) are continuous functions. Under the assumption of monotonicity, two existence results for solutions are acquired with the monotone iterative technique and the auxiliary truncated function method.


In this paper, we investigate a fully fourth-order differential equation with nonlinear boundary condition

$$ \textstyle\begin{cases} u^{(4)}(t)=f(t,u(t),u'(t),u''(t),u'''(t)), \quad t\in [0,1], \\ u(0)=u'(0)=0, \\ u''(1)=0, \qquad u'''(1)=g(u(1)), \end{cases} $$

where \(f:[0,1]\times \mathbb{R}^{4}\rightarrow \mathbb{R}\), \(g: \mathbb{R}\rightarrow \mathbb{R}\) are continuous functions.

The two-point boundary value problems (BVPs) of fourth-order differential equations are the mathematical models for describing the states of elastic beams. It is generally known that the elastic beams are one of the basic structures of modern architecture, aircraft, and ships. Due to their practical mathematical models and extensive application background, they have attracted the general attention of researchers, see [121] and the references therein.

The solvability for the cantilever beam equations with zero boundary conditions \(u(0)=u'(0)=u''(1)=u'''(1)=0\) has been researched by many scholars (see [5, 1012, 18, 20, 21]). Specially, in [1012], Li considered the cantilever beam equation

$$ \textstyle\begin{cases} u^{(4)}(t)=f(t,u(t),u'(t),u''(t),u'''(t)), \quad t\in [0,1], \\ u(0)=u'(0)=u''(1)=u'''(1)=0, \end{cases} $$

and studied the existence of solutions or positive solutions by means of the fixed point theorem of completely continuous operators, the fixed point index theory in cones, and the lower and upper solutions method, respectively. It should be noted that in the above works, all the lower-order derivatives of unknown function are involved in the nonlinear function, which greatly generalizes and extends many early results.

It is common knowledge that in the force analysis of beams, the physical meaning of the derivatives \(u'(t)\), \(u''(t)\), \(u'''(t)\), and \(u^{(4)}(t)\) of \(u(t)\) are slope, bending moment, shear force, and load density, respectively (see [1, 6, 7, 1114]). Thus, the nonlinear boundary condition

$$ u(0)=u'(0)=u''(1)=0, \qquad u'''(1)=g\bigl(u(1)\bigr), $$

indicates that the shear force is equal to \(g(u(1))\), which implies that there may be a nonlinear relationship between the displacement \(u(1)\) and the vertical force, as well as \(u''(1)=0\) denotes that the beam has no bending moment at \(t=1\), so it is supported on the bearing g. Therefore, BVP (1.1) simulates the static deformation for a spring beam of length 1 in which the left end is fixed and the right end is linked together with an elastic bearing device described by g, which is the cantilever beam equation with support in engineering and mechanics.

Owing to its specific boundary condition and realistic physical meaning, the solvability for cantilever equation (1.1) has been studied by some scholars, see [24, 7, 8, 13, 14, 17, 19]. In [4, 13, 14, 17, 19]. The existence theory of solutions for the cantilever beam equation with nonlinear boundary condition (1.3) was studied under the condition that the nonlinear term f does not involve the derivative terms of deformation function u. In [2, 7, 8], the solvability conclusions were obtained by some fixed point theorems and monotone iterative method under the conditions that the nonlinear function f only contains the first-order derivative term. Recently, Azarnavid et al. [3] used the reproducing kernel space method to construct an analytical approximate solution for BVP (1.1). However, because of the influence of fully derivative terms in the nonlinear function f and the nonlinearity of the boundary condition, the solvability for BVP (1.1) has not been studied extensively. In particular, as far as we know, there are fewer results on the equations of fully cantilever beam with nonlinear boundary conditions by using the method involving lower and upper solutions.

Inspired by the above literature, in the present paper, we utilize the monotone iterative technique involving lower and upper solutions and the auxiliary truncation function method to discuss the existence of solutions for BVP (1.1) between lower solution and upper solution. In order to study BVP (1.1), we put forward some reasonable monotonicity assumptions for the nonlinear functions f and g. Indeed, in order to reasonably introduce the definition of lower or upper solutions, we also consider the function g. Therefore, our results generalize and improve many results in the existing literature, which are new and meaningful. Our main results and proof processes are presented in Sect. 3, and two examples are given to verify our results in Sect. 4. In the following section, we introduce the definitions of lower and upper solutions and provide some preliminary results, which are useful in the proof.


Denote \(I=[0,1]\). Let \(C(I)\) be a continuous function space with the norm \({\|u\|}_{C}=\max_{t\in I}|u(t)|\), and \(C^{n}(I)\) (\(n=1,2,3,4\)) be an n-order continuous differentiable function space with the norm \({\|u\|}_{C^{n}}=\max {\{\|u\|}_{C},{\|u'\|}_{C},\ldots ,{\|u^{(n)}\|}_{C} \}\). Set \(C^{+}(I)=\{u\in C(I) \mid u(t)\geq 0, t\in I\}\), which is a positive cone of \(C(I)\).

Firstly, with regard to the linear boundary value problem (LBVP)

$$ \textstyle\begin{cases} u^{(4)}(t)=h(t), \quad t\in I, \\ u(0)=u'(0)=u''(1)=u'''(1)=0. \end{cases} $$

By [10], we know that, for given \(h\in C(I)\), LBVP (2.1) has a unique solution

$$ u(t)= \int ^{1}_{0}G(t,s)h(s)\,ds:=Sh(t), \quad t\in I, $$

where the Green function is defined by

$$ G(t,s)=\frac{1}{6} \textstyle\begin{cases} t^{2}(3s-t),& 0\leq t \leq s \leq 1, \\ s^{2}(3t-s),& 0\leq s \leq t \leq 1. \end{cases} $$

From (2.2) and (2.3), it is easy to find that \(S:C(I)\rightarrow C^{4}(I)\) is a bounded linear operator. Moreover, \(S:C(I)\rightarrow C^{3}(I)\) is completely continuous based on the compactness of imbedding \(C^{4}(I)\hookrightarrow C^{3}(I)\).

Next, we consider the LBVP corresponding to BVP (1.1)

$$ \textstyle\begin{cases} u^{(4)}(t)=h(t), \quad t\in I, \\ u(0)=u'(0)=0, \\ u''(1)=0,\qquad u'''(1)=\gamma , \end{cases} $$

where \(\gamma \leq 0\) is a constant.

With a simple calculation, for each \(h\in C(I)\),

$$ u(t)= \int ^{1}_{0}G(t,s)h(s)\,ds-\gamma \varphi (t), \quad t\in I, $$

is the unique solution of LBVP (2.4), where \(G(t, s)\) is defined by (2.3) and

$$ \varphi (t)=\frac{1}{2}t^{2}-\frac{1}{6}t^{3}, \quad t\in I. $$

As a matter of fact, by (2.4) and (2.5), one can find that the solutions of BVP (1.1) can be expressed by

$$ u(t)= \int ^{1}_{0}G(t,s)f\bigl(t,u(t),u'(t),u''(t),u'''(t) \bigr)\,ds-g\bigl(u(1)\bigr) \varphi (t):=Tu(t), $$

which suggests that the solutions of BVP (1.1) are equivalent to the fixed points of the operator T. For \(u\in C^{3}(I)\), define operators \(B:C^{3}(I)\rightarrow C^{3}(I)\) and \(F:C^{3}(I)\rightarrow C(I)\) by

$$\begin{aligned}& B(u) (t)=-g\bigl(u(1)\bigr)\varphi (t), \quad t\in I, \end{aligned}$$
$$\begin{aligned}& F(u) (t)=f\bigl(t,u(t),u'(t),u''(t),u'''(t) \bigr),\quad t\in I. \end{aligned}$$

Thus, for every \(u\in C^{3}(I)\),

$$ Tu=(S\circ F) (u)+Bu. $$

Lemma 2.1

For every \(u\in C^{3}(I)\), \(B:C^{3}(I)\rightarrow C^{3}(I)\) is a completely continuous operator and \({\|Bu\|}_{C^{3}}=|g(u(1))|\).


By (2.6), for any \(t\in I\),

$$ \varphi '(t)=t\biggl(1-\frac{1}{2}t\biggr)\geq 0,\qquad \varphi ''(t)=1-t\geq 0,\qquad \varphi '''(t)=-1< 0. $$

Hence, we can conclude that

$$\begin{aligned}& \max_{t\in I} \bigl\vert \varphi (t) \bigr\vert =\varphi (1)=\frac{1}{3},\qquad \max_{t\in I} \bigl\vert \varphi '(t) \bigr\vert =\varphi '(1)= \frac{1}{2}, \\& \max_{t\in I} \bigl\vert \varphi ''(t) \bigr\vert =\varphi ''(0)=1, \qquad \max _{t\in I} \bigl\vert \varphi '''(t) \bigr\vert =1. \end{aligned}$$

Then, from (2.8), it follows that, for any \(u\in C^{3}(I)\),

$$\begin{aligned}& \Vert Bu \Vert _{C}=\max_{t\in I} \bigl\vert -g\bigl(u(1)\bigr)\varphi (t) \bigr\vert =\frac{1}{3} \bigl\vert g \bigl(u(1)\bigr) \bigr\vert , \\& \bigl\Vert (Bu)' \bigr\Vert _{C}=\max _{t\in I} \bigl\vert -g\bigl(u(1)\bigr)\varphi '(t) \bigr\vert = \frac{1}{2} \bigl\vert g\bigl(u(1) \bigr) \bigr\vert , \\& \bigl\Vert (Bu)'' \bigr\Vert _{C}=\max_{t\in I} \bigl\vert -g\bigl(u(1)\bigr) \varphi ''(t) \bigr\vert = \bigl\vert g \bigl(u(1)\bigr) \bigr\vert , \\& \bigl\Vert (Bu)''' \bigr\Vert _{C}=\max_{t\in I} \bigl\vert -g\bigl(u(1)\bigr) \varphi '''(t) \bigr\vert = \bigl\vert g\bigl(u(1)\bigr) \bigr\vert , \end{aligned}$$

and \(B:C^{3}(I)\rightarrow C^{3}(I)\) is completely continuous. Evidently,

$$ \Vert Bu \Vert _{C^{3}}=\max \bigl\{ \Vert Bu \Vert _{C}, \bigl\Vert (Bu)' \bigr\Vert _{C}, \bigl\Vert (Bu)'' \bigr\Vert _{C}, \bigl\Vert (Bu)''' \bigr\Vert _{C}\bigr\} = \bigl\vert g\bigl(u(1)\bigr) \bigr\vert . $$

The proof is completed. □

Now, we establish the following comparison principle.

Lemma 2.2

Let \(\gamma \leq 0\) be a constant and \(u\in C^{(4)}(I)\) satisfy

$$ \textstyle\begin{cases} u^{(4)}(t)\geq 0, \quad t\in I, \\ u(0)\geq 0, \qquad u'(0)\geq 0,\qquad u''(1)\geq 0,\qquad u'''(1)\leq \gamma , \end{cases} $$

then for any \(t\in I\), \(u(t)\geq 0\), \(u'(t)\geq 0\), \(u''(t)\geq 0\), \(u'''(t)\leq \gamma \).


By the definition of integral, for any \(t\in I\),

$$\begin{aligned}& u'''(t)=u'''(1)- \int ^{1}_{t}u^{(4)}(s)\,ds\leq \gamma , \\& u''(t)=u''(1)- \int ^{1}_{t}u'''(s) \,ds\geq -\gamma (1-t)\geq 0, \\& u'(t)=u'(0)+ \int ^{t}_{0}u''(s) \,ds\geq 0, \\& u(t)=u(0)+ \int ^{t}_{0}u'(s)\,ds\geq 0. \end{aligned}$$

The proof is completed. □

Definition 2.3

If \(\alpha (t)\in C^{4}(I)\) satisfies

$$ \textstyle\begin{cases} \alpha ^{(4)}(t)\leq f(t,\alpha (t),\alpha '(t),\alpha ''(t),\alpha '''(t)),\quad t\in I, \\ \alpha (0)\leq 0,\qquad \alpha '(0)\leq 0, \qquad \alpha ''(1)\leq 0,\qquad \alpha '''(1) \geq g(\alpha (1)), \end{cases} $$

then \(\alpha (t)\) is named a lower solution of BVP (1.1). And if the inequalities in the above are all reversed, then \(\alpha (t)\) is named an upper solution of BVP (1.1).

Lemma 2.4

Let \(\alpha (t)\) and \(\beta (t)\) be a pair of lower and upper solutions for BVP (1.1) with \(\alpha '''(t)\geq \beta '''(t)\) for every \(t\in I\). Then

$$ \alpha (t)\leq \beta (t), \qquad \alpha '(t)\leq \beta '(t),\qquad \alpha ''(t) \leq \beta ''(t), \quad t\in I. $$


Denote \(u(t)=\beta (t)-\alpha (t)\), then \(u'''(t)\leq 0\). By Definition 2.3,

$$ u(0)\geq 0,\qquad u'(0)\geq 0, \qquad u''(1) \geq 0. $$

So, for any \(t\in I\), we can figure out that

$$\begin{aligned}& u''(t)=u''(1)- \int ^{1}_{t}u'''(s) \geq 0, \\& u'(t)=u'(0)+ \int ^{t}_{0}u''(s) \geq 0, \\& u(t)=u(0)+ \int ^{t}_{0}u'(s)\geq 0. \end{aligned}$$

At this point, the proof is finished. □

For convenience, we recommend a semi-ordering “” in \(C^{3}(I)\):

$$ \alpha \preceq \beta \quad \Leftrightarrow \quad \alpha \leq \beta ,\qquad \alpha ' \leq \beta ', \qquad \alpha ''\leq \beta '', \qquad \alpha '''\geq \beta ''', $$

we note that \(\beta \succeq \alpha \) is equal to \(\alpha \preceq \beta \). Let \(\alpha ,\beta \in C^{3}(I)\) and \(\alpha \preceq \beta \), we also introduce the order-interval in \(C^{3}(I)\):

$$ \mathcal{D}_{\alpha }^{\beta }=\bigl\{ u\in C^{3}(I) \mid \alpha \preceq u \preceq \beta \bigr\} , $$

then \(\mathcal{D}_{\alpha }^{\beta }\subset C^{3}(I)\) is a nonempty bounded convex closed set.

At the end of this section, we present an important result, which will be used in Sect. 3.

Lemma 2.5

Let \(f:I\times \mathbb{R}^{4}\rightarrow \mathbb{R}\), \(g:\mathbb{R} \rightarrow \mathbb{R}\) be boundary continuous functions, then BVP (1.1) has a solution \(u\in C^{4}(I)\).


Obviously, \(F:C^{3}(I)\rightarrow C(I)\) is bounded and continuous. Thus, \(S\circ F:C^{3}(I)\rightarrow C^{3}(I)\) is completely continuous, which implies that \(T:C^{3}(I)\rightarrow C^{3}(I)\) is a completely continuous operator. Here, we apply the Schauder fixed point theorem to testify that there is a fixed point for the operator T in \(C^{3}(I)\).

By the boundedness of f and g, there exist constants \(M_{1}, M_{2}>0\) such that

$$ \Vert Fu \Vert _{C}\leq M_{1}, \qquad \bigl\vert g\bigl(u(1)\bigr) \bigr\vert \leq M_{2}, \quad u\in C^{3}(I). $$

Choose \(R\geq M_{1}\|S\|+M_{2}\), and define a closed bounded convex set \(\Omega =\{u\in C^{3}(I):\|u\|_{C^{3}}\leq R\}\), where \(\|S\|\) is the norm of operator S in \(C^{3}(I)\). For \(u\in \Omega \), one can find

$$\begin{aligned} \Vert Tu \Vert _{C^{3}} \leq & \bigl\Vert SF(u) \bigr\Vert _{C^{3}}+ \Vert Bu \Vert _{C^{3}} \\ \leq & \Vert S \Vert \cdot \Vert Fu \Vert _{C}+ \bigl\vert g\bigl(u(1)\bigr) \bigr\vert \\ \leq &M_{1} \Vert S \Vert +M_{2}\leq R, \end{aligned}$$

it shows that \(T(\Omega )\subset \Omega \). Hence, the Schauder fixed point theorem guarantees that the operator T has a fixed point \(u\in \Omega \), which is a solution of BVP (1.1). □

Main results

Theorem 3.1

Let \(\alpha (t)\) and \(\beta (t)\) be a pair of lower and upper solutions of BVP (1.1) with \(\alpha '''(t)\geq \beta '''(t)\) for every \(t\in I\). If the following conditions are established:

  1. (H1)

    \(f:I\times \mathbb{R}^{4}\rightarrow \mathbb{R}\) is continuous and satisfies:

    1. (i)

      \(f(t,x_{0},x_{1},x_{2},x_{3})\) is increasing with respect to \(x_{0}\), \(x_{1}\), and \(x_{2}\) in \([\alpha (t),\beta (t)]\times [\alpha '(t),\beta '(t)]\times [\alpha ''(t), \beta ''(t)]\) for every \(t\in I\), \(x_{3}\in [\beta '''(t),\alpha '''(t)]\);

    2. (ii)

      \(f(t,x_{0},x_{1},x_{2},x_{3})\) is decreasing with respect to \(x_{3}\) in \([\beta '''(t),\alpha '''(t)]\) for every \(t\in I\), \(x_{i}\in [\alpha ^{(i)}(t),\beta ^{(i)}(t)]\) (\(i=0,1,2\)).

  2. (H2)

    \(g:\mathbb{R}\rightarrow \mathbb{R}\) is continuous and decreasing with respect to x in \([\alpha (t),\beta (t)]\) for every \(t\in I\).

Then there exists maximal solution and minimal solution \(\underline{u}\) for BVP (1.1) in \(\mathcal{D}_{\alpha }^{\beta }\).


It is easy to know that \(\alpha \preceq \beta \) by Lemma 2.4. Let \(F:C^{3}(I)\rightarrow C(I)\) be defined by (2.9), then F is continuous. Based on (H1), we can certify that

$$ u_{1}\preceq u_{2}\quad \Rightarrow\quad F(u_{1})\leq F(u_{2}), \quad u_{1}, u_{2} \in \mathcal{D}_{\alpha }^{\beta }. $$

Since S is completely continuous, thus \(S\circ F:\mathcal{D}_{\alpha }^{\beta }\rightarrow C^{3}(I)\) is completely continuous. Therefore, \(T:\mathcal{D}_{\alpha }^{\beta }\rightarrow C^{3}(I)\) is a completely continuous operator.

Next, we will accomplish the proof in three steps:

I. We prove that \(T:\mathcal{D}_{\alpha }^{\beta }\rightarrow \mathcal{D}_{\alpha }^{ \beta }\) is an order-increasing operator under the semi-ordering “”, namely

$$ \alpha \preceq u_{1}\preceq u_{2}\preceq \beta \quad \Rightarrow \quad \alpha \preceq Tu_{1}\preceq Tu_{2} \preceq \beta . $$

To this end, let \(x=Tu=(S\circ F)(u)+Bu\) for \(u\in \mathcal{D}_{\alpha }^{\beta }\). Denote \(h=F(u)\), \(\gamma =g(u(1))\), then \(x=Tu\) is the solution of LBVP (2.4) and satisfies

$$ \textstyle\begin{cases} x^{(4)}(t)=f(t,u(t),u'(t),u''(t),u'''(t)), \quad t\in I, \\ x(0)=x'(0)=0, \\ x''(1)=0, \qquad x'''(1)=g(u(1)). \end{cases} $$

Using the definition of lower solution together with (H1),

$$ (x-\alpha )^{(4)}(t)\geq F(u) (t)-F(\alpha ) (t)\geq 0. $$

By the boundary conditions and (H2), one can find

$$\begin{aligned}& (x-\alpha ) (0)\geq 0,\qquad (x-\alpha )'(0)\geq 0, \\& (x-\alpha )''(1)\geq 0, \qquad (x-\alpha )'''(1)\leq g\bigl(u(1)\bigr)-g \bigl(\alpha (1)\bigr) \leq 0. \end{aligned}$$

Thus, according to Lemma 2.2, for every \(t\in I\),

$$\begin{aligned}& (x-\alpha ) (t)\geq 0, \qquad (x-\alpha )'(t)\geq 0, \\& (x-\alpha )''(t)\geq 0,\qquad (x-\alpha )'''(t)\leq g\bigl(u(1)\bigr)-g \bigl(\alpha (1)\bigr) \leq 0, \end{aligned}$$

which means \(\alpha \preceq x\). Similarly, one can see \(x\preceq \beta \). Therefore, \(\alpha \preceq x\preceq \beta \), that is, \(T:\mathcal{D}_{\alpha }^{\beta }\rightarrow \mathcal{D}_{\alpha }^{ \beta }\).

Furthermore, for every \(u_{1}, u_{2}\in \mathcal{D}_{\alpha }^{\beta }\) with \(u_{1}\preceq u_{2}\), denote \(x_{1}=Tu_{1}\), \(x_{2}=Tu_{2}\), then \(x_{1}\), \(x_{2}\) satisfy equation (3.3), respectively. Combining with (H1) and (H2), we obtain that

$$\begin{aligned}& (x_{2}-x_{1})^{(4)}(t)=F(u_{2}) (t)-F(u_{1}) (t)\geq 0,\quad t\in I, \\& (x_{2}-x_{1}) (0)\geq 0, \qquad (x_{2}-x_{1})'(0) \geq 0, \\& (x_{2}-x_{1})''(1)\geq 0, \qquad (x_{2}-x_{1})'''(1)=g \bigl(u_{2}(1)\bigr)-g\bigl(u_{1}(1)\bigr) \leq 0. \end{aligned}$$

By Lemma 2.2, for every \(t\in I\), we have

$$ (x_{2}-x_{1}) (t)\geq 0, (x_{2}-x_{1})'(t) \geq 0, \qquad (x_{2}-x_{1})''(t) \geq 0, (x_{2}-x_{1})'''(t) \leq 0, $$

which implies that \(Tu_{1}\preceq Tu_{2}\).

II. We testify that BVP (1.1) has a solution in \(\mathcal{D}_{\alpha }^{\beta }\).

Taking \(\alpha _{0}=\alpha \), \(\beta _{0}=\beta \), establish iterative sequences

$$ \alpha _{n}=T\alpha _{n-1},\qquad \beta _{n}=T\beta _{n-1},\quad n=1,2, \ldots . $$

Using (3.2), we can easily confirm that \(\alpha _{n}\) and \(\beta _{n}\) satisfy the monotone conditions:

$$ \alpha _{0}\preceq \alpha _{1}\preceq \cdots \preceq \alpha _{n} \preceq \beta _{n}\preceq \cdots \preceq \beta _{1}\preceq \beta _{0},\quad n=1,2,\ldots . $$

From the compactness of T, it follows that \(\{\alpha _{n}\}, \{\beta _{n}\}\subset T(\mathcal{D}_{\alpha }^{ \beta })\) are relatively compact in \(C^{3}(I)\). Hence, by (3.5), \(\{\alpha _{n}\}\) and \(\{\beta _{n}\}\) are uniformly convergent in \(C^{3}(I)\), which means that there exist \(\underline{u}, \overline{u}\in C^{3}(I)\) such that \(\alpha _{n}\rightarrow \underline{u}\), \(\beta _{n}\rightarrow \overline{u}\). With the convexity and closeness of \(\mathcal{D}_{\alpha }^{\beta }\), \(\underline{u}, \overline{u}\in \mathcal{D}_{\alpha }^{\beta }\). By (3.4) and the continuity of T, one can deduce \(\underline{u}=T\underline{u}\), \(\overline{u}=T\overline{u}\). Thus, \(\underline{u}\) and are the solutions of BVP (1.1) in \(\mathcal{D}_{\alpha }^{\beta }\).

III. We demonstrate that \(\underline{u}\) and are the minimal and maximal solutions of BVP (1.1) in \(\mathcal{D}_{\alpha }^{\beta }\), respectively.

Let \(u\in \mathcal{D}_{\alpha }^{\beta }\) be a solution of BVP (1.1), then \(\alpha \preceq u\preceq \beta \), by (3.2),

$$ \alpha _{n}\preceq u\preceq \beta _{n}, \quad n=1,2, \ldots . $$

Setting \(n\rightarrow \infty \), then

$$ \underline{u}\preceq u\preceq \overline{u}. $$

Consequently, \(\underline{u}\) and are the minimal and maximal solutions of BVP (1.1) in \(\mathcal{D}_{\alpha }^{\beta }\), respectively.

The proof is finished. □

On the basis of the above argument, it is easy to draw the following corollary.

Corollary 3.2

Suppose that the conditions of Theorem 3.1are established. Constructing iterative sequences \(\{\alpha _{n}\}\) and \(\{\beta _{n}\}\) with \(\alpha _{0}=\alpha \), \(\beta _{0}=\beta \) by the iterative equation

$$ \textstyle\begin{cases} u_{n}^{(4)}(t)=f(t,u_{n-1}(t),u_{n-1}'(t),u_{n-1}''(t),u_{n-1}'''(t)),\quad t\in I, \\ u_{n}(0)=u_{n}'(0)=0, \\ u_{n}''(1)=0, \qquad u_{n}'''(1)=g(u_{n-1}(1)), \end{cases} $$

then (3.5) holds and

$$ \lim_{n\rightarrow \infty }\alpha _{n}^{(i)}(t)= \underline{u}^{(i)}(t),\qquad \lim_{n\rightarrow \infty }\beta _{n}^{(i)}(t)=\underline{u}^{(i)}(t),\quad i=0,1,2,3, $$

uniformly for \(t\in I\), where \(\underline{u}\) and are the minimal and maximal solutions of BVP (1.1) in \(\mathcal{D}_{\alpha }^{\beta }\), respectively.

Theorem 3.1 guarantees the existence results for BVP (1.1) in the order-interval \(\mathcal{D}_{\alpha }^{\beta }\) under the assumptions that f and g are monotonic. Now, we weaken the monotonicity assumption and prove the existence results for BVP (1.1) between lower and upper solutions by using the classical auxiliary truncation function method.

Theorem 3.3

Let \(\alpha (t)\) and \(\beta (t)\) be a pair of lower and upper solutions of BVP (1.1) with \(\alpha '''(t)\geq \beta '''(t)\) for every \(t\in I\). If the following conditions are established:

  1. (H3)

    \(f:I\times \mathbb{R}^{4}\rightarrow \mathbb{R}\) is continuous, and for any \(t\in I\), \((x_{0},x_{1},x_{2})\in [\alpha (t),\beta (t)]\times [\alpha '(t), \beta '(t)]\times [\alpha ''(t),\beta ''(t)]\),

    $$\begin{aligned}& f\bigl(t,x_{0},x_{1},x_{2},\alpha '''(t)\bigr)\geq f\bigl(t,\alpha (t),\alpha '(t), \alpha ''(t),\alpha '''(t)\bigr), \\& f\bigl(t,x_{0},x_{1},x_{2},\beta '''(t)\bigr)\leq f\bigl(t,\beta (t), \beta '(t), \beta ''(t),\beta '''(t)\bigr); \end{aligned}$$
  2. (H4)

    \(g:\mathbb{R}\rightarrow \mathbb{R}\) is continuous, and for any \(t\in I\), \(x\in [\alpha (t),\beta (t)]\),

    $$ g\bigl(\beta (t)\bigr)\leq g(x)\leq g\bigl(\alpha (t)\bigr). $$

Then there is at least one solution \(u\in \mathcal{D}_{\alpha }^{\beta }\) for BVP (1.1).


By Lemma 2.4, we know that \(\alpha \preceq \beta \). For any \(t\in I\), \(x\in \mathbb{R}\), let

$$\begin{aligned}& \eta _{i}(t,x)=\min \bigl\{ \max \bigl\{ \alpha ^{(i)}(t),x \bigr\} ,\beta ^{(i)}(t)\bigr\} ,\quad i=0,1,2, \\& \eta _{3}(t,x)=\min \bigl\{ \max \bigl\{ \beta '''(t),x \bigr\} ,\alpha '''(t)\bigr\} . \end{aligned}$$

Then \(\eta _{i}:I\times \mathbb{R}\rightarrow \mathbb{R}\) (\(i=0,1,2,3\)) are continuous functions and satisfy

$$\begin{aligned}& \alpha ^{(i)}(t)\leq \eta _{i}(t,x)\leq \beta ^{(i)}(t),\quad i=0,1,2, \\& \beta '''(t)\leq \eta _{3}(t,x)\leq \alpha '''(t) \end{aligned}$$

for any \(t\in I\), \(x\in \mathbb{R}\). Now, we construct a truncating function of f as follows:

$$ f^{*}(t,x_{0},x_{1},x_{2},x_{3})=f \bigl(t,\eta _{0}(t, x_{0}),\eta _{1}(t, x_{1}), \eta _{2}(t, x_{2}),\eta _{3}(t, x_{3})\bigr)+ \frac{x_{3}-\eta _{3}(t, x_{3})}{1+ x_{3}^{ 2}} $$

for any \(t\in I\) and \(x_{i}\in \mathbb{R}\) (\(i=0,1,2,3\)). According to the definition of \(\eta _{i}(t,x)\) (\(i=0,1,2,3\)), \(f^{*}:I\times \mathbb{R}^{4}\rightarrow \mathbb{R}\) is a bounded continuous function. Hence, by Lemma 2.5, there exists a solution \(u_{0}\in C^{4}(I)\) for BVP

$$ \textstyle\begin{cases} u^{(4)}(t)=f^{*}(t,u(t),u'(t),u''(t),u'''(t)), \quad t\in I, \\ u(0)=u'(0)=0, \\ u''(1)=0,\qquad u'''(1)=g(u(1)). \end{cases} $$

Here, we show that \(u_{0}\) is also a solution of BVP (1.1) in \(\mathcal{D}_{\alpha }^{\beta }\). Firstly, we check that

$$ \beta '''\leq u_{0}''' \leq \alpha '''. $$

Suppose on the contrary, then there exists \(t_{0}\in [0,1]\) such that

$$ u_{0}'''(t_{0})- \alpha '''(t_{0})=\max _{t\in [0,1]}\bigl(u_{0}'''(t)- \alpha '''(t)\bigr)>0. $$

We can prove that \(t_{0}\neq 1\). In fact, since \(\eta _{i}(t,\alpha ^{(i)}(t))=\alpha ^{(i)}(t)\) (\(i=0,1,2,3\)) for any \(t\in I\), we infer that

$$\begin{aligned}& f^{*}\bigl(t,\alpha (t),\alpha '(t),\alpha ''(t),\alpha '''(t) \bigr) \\& \quad = f\bigl(t,\eta _{0}\bigl(t,\alpha (t)\bigr),\eta _{1}\bigl(t,\alpha '(t)\bigr),\eta _{2} \bigl(t, \alpha ''(t)\bigr),\eta _{3} \bigl(t,\alpha '''(t)\bigr)\bigr)+ \frac{\alpha '''(t)-\eta _{3}(t,\alpha '''(t))}{1+ [\alpha '''(t)]^{2}} \\& \quad = f\bigl(t,\alpha (t),\alpha '(t),\alpha ''(t),\alpha '''(t) \bigr) \\& \quad \geq \alpha ^{(4)}(t), \end{aligned}$$

which means that \(\alpha (t)\) is a lower solution of BVP (3.8). Thus, \(\alpha (1)\leq u_{0}(1)\), combining with (H4), it is quite evident that

$$ u_{0}'''(1)=g \bigl(u_{0}(1)\bigr)\leq g\bigl(\alpha (1)\bigr)\leq \alpha '''(1). $$

Hence, by (3.10), there exists \(t_{0}\in [0,1)\) such that

$$\begin{aligned}& u_{0}'''(t_{0})- \alpha '''(t_{0})>0, \end{aligned}$$
$$\begin{aligned}& u_{0}^{(4)}(t_{0})-\alpha ^{(4)}(t_{0})\leq 0. \end{aligned}$$

In addition, by the definition of \(\eta _{3}\), we can obtain that

$$ \eta _{3}\bigl(t_{0},u_{0}'''(t_{0}) \bigr)=\alpha '''(t_{0}). $$

Then, by BVP (3.8), we can deduce that

$$\begin{aligned} u^{(4)}(t_{0}) =&f^{*}\bigl(t_{0},u_{0}(t_{0}),u'_{0}(t_{0}),u''_{0}(t_{0}),u'''_{0}(t_{0}) \bigr) \\ =&f\bigl(t_{0},\eta _{0}\bigl(t_{0},u_{0}(t_{0}) \bigr),\eta _{1}\bigl(t_{0},u_{0}'(t_{0}) \bigr), \eta _{2}\bigl(t_{0},u_{0}''(t_{0}) \bigr),\alpha '''(t_{0}) \bigr) \\ &{}+\frac{u_{0}'''(t_{0})-\alpha '''(t_{0})}{1+ [u_{0}'''(t_{0})]^{2}} \\ \geq & f\bigl(t_{0},\alpha (t_{0}),\alpha '(t_{0}),\alpha ''(t_{0}), \alpha '''(t_{0}) \bigr)+ \frac{u_{0}'''(t_{0})-\alpha '''(t_{0})}{1+ [u_{0}'''(t_{0})]^{2}} \\ >&f\bigl(t_{0},\alpha (t_{0}),\alpha '(t_{0}),\alpha ''(t_{0}), \alpha '''(t_{0})\bigr) \\ \geq &\alpha ^{(4)}(t_{0}). \end{aligned}$$

Therefore, we get a contradiction. Hence \(u_{0}'''\leq \alpha '''\) holds.

Using an analogous technique, \(\beta '''\leq u_{0}'''\) holds, and so (3.9) is valid. It follows from Lemma 2.4 that \(u_{0}\in \mathcal{D}^{\beta }_{\alpha }\). By the definition of \(\eta _{i}(t,x)\),

$$ \eta _{i}\bigl(t,u_{0}^{(i)}(t) \bigr)=u_{0}^{(i)}(t), \quad t\in I, i=0,1,2,3. $$

Therefore, by BVP (3.8), we can get that, for any \(t\in I\),

$$\begin{aligned} u^{(4)}_{0}(t) =&f^{*}\bigl(t,u_{0}(t),u'_{0}(t),u''_{0}(t),u'''_{0}(t) \bigr) \\ =&f\bigl(t,\eta _{0}\bigl(t,u_{0}(t)\bigr),\eta _{1}\bigl(t,u_{0}'(t)\bigr),\eta _{2}\bigl(t,u_{0}''(t) \bigr), \eta _{3}\bigl(t,u_{0}'''(t) \bigr)\bigr)+ \frac{u_{0}'''(t)-\eta _{3}}{1+ [u_{0}'''(t)]^{2}} \\ =&f\bigl(t,u_{0}(t),u'_{0}(t),u''_{0}(t),u'''_{0}(t) \bigr). \end{aligned}$$

It means that \(u_{0}\in \mathcal{D}_{\alpha }^{\beta }\) is a solution of BVP (1.1). □


Example 4.1

Consider the following nonlinear BVP:

$$ \textstyle\begin{cases} u^{(4)}(t)=\frac{\sin t}{9}u(t)+\frac{1}{8}u'(t)u''(t)+ \frac{\cos t}{9}u''(t)-\frac{1}{4}u'''(t)+\frac{1}{3}e^{-t}, \quad t \in I, \\ u(0)=u'(0)=0, \\ u''(1)=0,\qquad u'''(1)=\frac{1-u(1)}{5+u(1)}-\frac{1}{5}. \end{cases} $$

Obviously, \(\alpha (t)\equiv 0\) is a lower solution of BVP (4.1). Now we prove that BVP (4.1) has an upper solution

$$ \beta (t)=e^{-t}+t-1\geq 0, \quad t\in I. $$


$$ \beta '(t)=1-e^{-t}\geq 0, \qquad \beta ''(t)=e^{-t}\geq 0,\qquad \beta '''(t)=-e^{-t} \leq 0. $$

Corresponding to BVP (1.1),

$$\begin{aligned}& f(t,x_{0},x_{1},x_{2},x_{3})= \frac{\sin t}{9}x_{0}+\frac{1}{8}x_{1}x_{2}+ \frac{\cos t}{9}x_{2}-\frac{1}{4}x_{3}+ \frac{1}{3}e^{-t}, \\& g(x)=\frac{1-x}{5+x}-\frac{1}{5}. \end{aligned}$$

Then, we can obtain that, for every \(t\in I\),

$$\begin{aligned} f\bigl(t,\beta ,\beta ',\beta '', \beta '''\bigr) =& \frac{\sin t}{9}\beta (t)+ \frac{1}{8}\beta '(t) \beta ''(t)+\frac{\cos t}{9}\beta ''(t)- \frac{1}{4}\beta '''(t)+\frac{1}{3}e^{-t} \\ =&\frac{\sin t}{9}(t-1)+\frac{\sin t}{9}e^{-t}+ \frac{e^{-t}}{8}\bigl(1-e^{-t}\bigr)+ \frac{\cos t}{9}e^{-t}+ \frac{1}{4}e^{-t}+\frac{1}{3}e^{-t} \\ \leq &\frac{\sqrt{2}}{9}\sin \biggl(t+\frac{\pi }{4} \biggr)e^{-t}+\frac{2}{3} \cdot \frac{e^{-t}}{8}+ \frac{1}{4}e^{-t}+\frac{1}{3}e^{-t} \\ < &e^{-t}=\beta ^{(4)}(t), \end{aligned}$$


$$\begin{aligned}& \beta (0)=0, \qquad \beta '(0)=0, \qquad \beta ''(1)=\frac{1}{e}>0, \\& g\bigl(\beta (1)\bigr)-\beta '''(1)= \frac{1-e^{-1}}{5+e^{-1}}-\frac{1}{5}+ \frac{1}{e}= \frac{19+5e^{-1}}{5e(5+e^{-1})}>0, \end{aligned}$$

that is, \(\beta '''(1)< g(\beta (1))\). Those imply that \(\beta (t)\) is an upper solution of BVP (4.1) with \(\beta '''(t)\leq \alpha '''(t)\).

Moreover, it is quite obvious that \(f(t,x_{0},x_{1},x_{2},x_{3})\) is increasing on \(x_{0}\), \(x_{1}\), and \(x_{2}\) in \([0,\beta (t)]\times [0,\beta '(t)]\times [0,\beta ''(t)]\) and decreasing on \(x_{3}\) in \([\beta '''(t),0]\); \(g(x)\) is decreasing on x in \([0,\beta (t)]\), which indicate that f and g satisfy (H1) and (H2). Then, by Theorem 3.1, BVP (4.1) has maximal solution and minimal solution \(\underline{u}\) in \(\mathcal{D}_{0}^{\beta }\).

Example 4.2

Consider the following nonlinear BVP:

$$ \textstyle\begin{cases} u^{(4)}(t)=\frac{\sin t}{9}u(t)+\frac{1}{8}u'(t)u''(t)+ \frac{\cos t}{9}u''(t)+\frac{1}{4}(u'''(t))^{3}+\frac{1}{3}e^{-t}, \quad t\in I, \\ u(0)=u'(0)=0, \\ u''(1)=0,\qquad u'''(1)=\frac{1-u(1)}{5+u(1)}-\frac{1}{5}. \end{cases} $$

We can check that \(\alpha (t)\equiv 0\) and \(\beta (t)=e^{-t}+t-1\) are a pair of lower and upper solutions for BVP (4.2) with \(\beta '''(t)\leq \alpha '''(t)\) for every \(t\in I\). In view of the fact that

$$ f(t,x_{0},x_{1},x_{2},x_{3})= \frac{\sin t}{9}x_{0}+\frac{1}{8}x_{1}x_{2}+ \frac{\cos t}{9}x_{2}+\frac{1}{4}x_{3}^{3}+ \frac{1}{3}e^{-t} $$

is nondecreasing on \(x_{3}\), Theorem 3.1 does not apply to BVP (4.2). However, it is easy to see that \(f(t,x_{0},x_{1},x_{2},x_{3})\) is increasing on \(x_{0}\), \(x_{1}\), and \(x_{2}\) in \(\mathbb{R}^{3}\), and

$$ g(x)=\frac{1-x}{5+x}-\frac{1}{5} $$

is decreasing on x, then conditions (H3) and (H4) are valid. Therefore, by Theorem 3.3, BVP (4.2) has at least one solution in \(\mathcal{D}_{0}^{\beta }\).

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The author is most grateful to the editor Professor and anonymous referees for the careful reading of the manuscript and valuable suggestions that helped in significantly improving an earlier version of this paper.


This work was supported by NNSF of China (Nos. 11661071 and 12061062).

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Wei, M., Li, Y. & Li, G. Lower and upper solutions method to the fully elastic cantilever beam equation with support. Adv Differ Equ 2021, 301 (2021).

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  • 34B15
  • 34L30
  • 47N10


  • Fully fourth-order boundary value problem
  • Cantilever beam equation
  • Nonlinear boundary condition
  • Monotone iterative technique
  • Lower and upper solutions