1. Introduction
This paper deals with the nonlinear boundary value problems:
where
(
) is a bounded domain with smooth boundary
and
are the Laplace operator and the real parameter, respectively. This problem arises in thermal explosion theory. In recent years, this kind of problem has no longer been limited to mathematical research. It involves many fields, such as physics, biology, environmental systems and economic systems (see [
1,
2,
3,
4] and the references therein). The nonlinear boundary condition is inspired by the following Dirichlet boundary problem. For example, Rey in [
5] proved the existence of the solution of
where
is a bounded domain. In addition,
is a term of lesser order than
. When
tends to zero, the asymptotic behavior of the solution of (
2) is obtained. In [
6], Tarantello showed the non-uniqueness of solutions for
and
(
),
. Denote by
the dual space of
; then,
will be
where
. When
, Huang [
7] proved that the problem
has a positive solution, where
and
(
), when
and
. For the case of
, Huang also proved the existence of the solution of (
3).
In addition, Ambrosetti et al. [
8] discussed the existence of the below question.
with
.
Some other studies of the existence of Dirichlet boundary value problems can be found in [
4,
9,
10,
11,
12,
13,
14] and the references therein. For the Poisson equations with nonlinear boundary conditions, we recall the following works presented in the literature (see [
15,
16,
17,
18] and the references therein). In [
15], Garcia-Azorero and others discussed the concave–convex problem with the nonlinear boundary conditions.
where
,
and
. If
and
is small, there exist two positive solutions, and for large
there is no positive solution.
In thermal explosion theory, Ko and Prashanth [
17] proved that the two-dimensional elliptic equations
have a positive solution which is not unique, for
. In [
18], Yu and Yan showed that there is a positive solution of the problem
where
. Among them, the authors discuss three cases of
(positive function, negative function and sign changing function).
Gordon et al. [
16] proved the uniqueness and variety of positive solutions for the problem below.
where
,
is a parameter and
is a non subtractive function defined on
, which satisfies
. In addition,
.
Differently from the above papers, consider the problem (
1) in which
, with
and
satisfies the following assumptions.
Hypothesis 1 (H1). is a increasing function and satisfying .
Hypothesis 2 (
H2).
There exists such that for any , we have Remark 1.(H3) indicates that the highest power of g is less than . The function g satisfying this assumption exists. For example, with , so there exists such thatis true. It is well known that the sub- and super-solutions method is an important tool for solving the existence of initial and boundary value problems (see [
19,
20,
21,
22,
23]). In this paper, using the sub- and super-solutions method, we present some new results on the existence of positive solutions for problem (
1).
The definition of energy functional corresponding to the problem (
1) is introduced.
with
.
and
, where the symbol
denotes the surface measure of
.
Definition 1. is a weak solution of (1) if it satisfiesfor any . More precisely,
is a weak solution of (
1) if and only if
is a critical point of
and
u is a positive solution.
Finally, the following results are obtained.
Theorem 1. Let , and g satisfy (H1), (H2) and (H3)
(i)
There exists and , such that (1) has at least one positive solution for . There is no positive solution in (1), for . There are at least two positive solutions in (1), for .(ii)
For , (1) has a minimal positive solution , and the map is increasing. Moreover, for , has a local minimum near zero. This paper is divided into the following sections. In the second section, we list and show several lemmas that can be widely applied. The Lemmas proposed in the third and fourth part are proved under the condition of Theorem 1 and prepare us for the proof of Theorem 1. The fifth part focuses on proving our results.
2. Preliminaries
In this section, we rephrase problem (
1) in the general form
The corresponding definitions of sub-solution and super-solution are given as follows:
Definition 2. A function is called a super-solution of (5) if and Definition 3. A function is called a sub-solution of (5) if and Lemma 1 (see [
24]
). Let and be continuous and g satisfy . If μ and χ are the sub- and super-solutions of problem (5), respectively, such that , then problem (5) has at least one solution u satisfying From the above lemma, it can be seen that if you want to obtain the solution by the sub- and super-solution method, you must prove that the sub-solution is less than or equal to the super-solution.
In order to compare the sub- and the super-solution more conveniently, the following comparison lemma is proposed.
Lemma 2 (see [
17]
). Let satisfy , in , , on . Then in . Lemma 3 (see [
18]
). Let be a continuous function such that is strictly decreasing in . Let satisfy: - (a)
;
- (b)
with c a nonnegative constant and ;
- (c)
. Then in .
Let
. We have the following norm:
where
b is a positive constant. For convenience, take
in the following proof process.
Remark 2. Thanks to the trace imbedding and the imbedding of Cherrier (see [25,26,27]), it follows that is indeed an equivalent norm in . In other words, there are and such that
where
and
.
In the proof, we will apply the next result.
Lemma 4 (see [
28]
). (Rellich–Kondrachov Compactness Theorem) Assume is a bounded open subset of and is . Suppose . Then,for each . When studying the nonlinear problems on the boundary, we should also pay attention to the following embedding conditions on the boundary.
Lemma 5 (see [
29]).
Let be a smooth bounded domain in , . For any , with if , we have the validity of the Sobolev trace embedding of into ; namely, there exists a positive constant S such thatfor all . In order to construct a sub-solution, the following boundary value problem will be used.
where
and
.
Lemma 6 (see [
18]
). Let , . The problem (6) has only solution and on . The second solution of (
1) is proved by variational method. The following lemma will be used.
Lemma 7 (see [
30,
31]
). Let F be a functional on a Banach space X, . Let us assume that there exists such that - (i)
andwith;
- (ii)
andfor somewith.
Let us define and Then, there exists a sequence such that and in (dual of X). 3. Constraints of When Solutions Exist
Proof. Since
, we can seek out
such that for all
there exists
satisfying
Then, the function
verifies
and
It guarantees that
is a super-solution of (
1).
In addition, in order to apply Lemma 1, the existence of sub-solutions needs to be confirmed. For
small enough, the above discussion can deduce
On
, since
g is a nondecreasing
function,
Therefore,
is a sub-solution of problem (
1).
Let
be sufficiently small to satisfy
. Therefore, by Lemma 1, problem (
1) admits a positive solution
u such that
whenever
and thus
.
Next, prove that is finite; namely, there is a positive constant such that .
The following eigenvalue problem,
and
and
are the corresponding minimum eigenvalue and eigenfunction respectively. If
u is a positive solution of (
1) corresponding to parameter
, then
where
is solution of (
8).
Through the computations and
on
, obtain
By taking into account that
, we have
The previous relations (
9) and (
10) imply that
and
. Hence,
and
. □
Lemma 9. Under the assumptions of Theorem 1, the solution of problem (1) exists for all . Proof. Given , from the definition of upper bound, there exists such that when .
Since
and
therefore,
is a super-solution for (
1) when the parameter is
.
As
is small enough to ensure
, by exploiting Lemma 1, there is a positive solution
u of (
1) satisfying
for all
. □
When using variational method to solve such problems, we can usually refer to weak solutions and to the energy functional (
4) associated with problem (
1).
It is easy to verify
and
for any
. Here
,
is given by the definition (
7).
Lemma 10. Suppose that the minimal positive solution of problem (1) exists. Then, for and . Here, is the minimal positive solution of problem (1) for . Proof. Indeed, if
then
and
is a sub-solution of (
1) satisfying
for a small enough
. By Lemma 1, problem (
1) has a positive solution. We obtain
by Lemma 1.
Hence, we get by and the strong maximum principle.
From
and
it can be deduced that
in
by Lemma 2. □
Lemma 11. For all , problem (1) has a positive solution u. Thus, obtains a local minimum in the topology. Proof. There exists
such that
and the minimal positive solution
defined in Lemma
10 and
in
by (
7). Let
be the unique positive solution of (
6) with
Since is strictly decreasing for each , we have in and on . Therefore, in by the Hopf maximum principle and Lemma 3.
Let us define the following cut-off nonlinear function:
and
,
. Then,
is given by
This functional is coercive and bounded from below. Obviously,
when
. Let
be a global minimizer of
on
. Then,
is the solution of
Through the define of
, we obtain
and
in
by Lemma (
2). In addition,
is a solution of (
3).
Let . On the set , . Hence, is a local minimal for . □
Remark 3. We observe that has negative energy .
In fact,
,
and
5. Proof of Theorem
Proof of Theorem 1(i). The first part (i) is divided into two steps: we first prove the existence of the solution, and then prove whether the solution is unique.
Through Lemmas
8–
10, the solution of problem (
1) exists, for any
.
Firstly, the following argument shows the second solution of (
1) exists. Let us look for a second positive solution of the form
, where
is the positive solution found in Lemma 11. The function
v satisfies
with
and
where
and
. For convenience, we write
as
s. The second component on
and
represents a function of
.
Note that
and
is a local minimum of
in
. Let
be the positive part of
v. As
and
Therefore,
with
. From the Lemma
11,
is obtained and
is the local minimum of
in
.
Since
and the highest power of
g is less than the
of (H3),
as
. Fix
such that
. Necessarily,
. Set
and define the mountain-pass level
Clearly, since . We recall the definition of the sequence around the closed set F.
Definition 4. We define the closed setifandif.
Definition 5. means a sequencesuch thatwhereis the dual space of. We have the following two cases:
- (i)
for all .
In this case, Ghoussoub and Preiss proved the existence of such a
sequence (see [
32]). Next, we just need to prove that there is also a
sequence in the following case.
- (ii)
There exists
such that
Note that
implies that (i) holds and (ii) implies
. In the case (ii), we can find
such that
,
with
,
and
for some
with
. By Lemma
7,
hold and there exists a sequence
such that
and
.
Hence, we have and . In addition, for fixed .
Note that
is the local minimum positive solution of
. Thus,
and
where
.
Since
and (
14)
with
,
,
and
, where
satisfies
and
is a constant value.
Therefore, we get the bounded (PS) sequence
of
. Accordingly with the properties of bounded sequences and Lemma 12, we have
Next, let us verify the conditions of the Mountain Pass Theorem (see [
33]). Obviously,
. In the previous proof, we found
such that
,
with
.
Choose a sufficiently large
such that
. For
and
and the critical value
by the mountain pass theorem (see [
33]).
Through the above argument, there is a solution
such that
and
is a critical point of functional
.
Assuming
, the contradiction is obtained from
. Since
in
and
on
, we get
in
by Lemma
2. Therefore,
is the second positive solution of the problem (
1).
When , the problem has a positive solution.
Let
be a sequence satisfying
, where
. Then there exists a sequence of solutions
to problem (
1) for
fulfilling
From Lemma
11,
is uniformly bounded in
and
. In fact,
in
and
on
, where
is the unique positive solution of
Hence, for all , is less than . , for any . Therefore, is a bounded sequence in , so . For parameter , it is proved that the problem has at least one positive solution.
Thirdly, accordingly to (
7), there are no positive solutions for
.
This concludes the proof of the first part (i) of Theorem
1. □
Proof of Theorem 1(ii). Assuming
, (
6) has an only positive solution
by Lemma
6 with
and
Since problem (
1) has a positive solution for any
,
and
by Lemma
3.
Construct the following monotone iteration:
with
. Let
u be an arbitrary solution; then,
is a super-solution of (
1).
Hence,
, by Lemma
2.
Since
, the function
is strictly increasing. For
,
and
This implies by Lemma
2 that
.
Thus,
by iterating this process. In addition,
so
is a minimal positive solution of (
1).
Denote by
the minimal positive solution of (
1) for
. Moreover, by Lemma
10 we get the strict inequality
for
.
Let
as defined above,
for any
. In a sufficiently small neighborhood near the zero point,
Accordingly to the calculation, there exists
. Let
be a minimizing sequence for
, where
. Since the bounded sequence
has convergent subsequence
, there exists
such that
. Clearly,
is established. In addition, since
,
and
by Lemma
5 and the convergence theorem. It also follows that
, according to the compactness of the tracked embedding. Hence, we have
. Since
, there must be
. Based on the above discussion,
is the local minimum of
in the set
. Notice that because
, there is
. The local minimum value can be obtained near zero of
. □
Therefore, Theorem
1 has been fully proved.