Multiplicity Results for the p(x)-Laplacian Equation with Singular Nonlinearities and Nonlinear Neumann Boundary Condition
Abstract
We investigate the singular Neumann problem involving the p(x)-Laplace operator: (Pλ){−Δp(x)u+|u|p(x)−2u = 1/uδ(x) + f(x, u), in Ω; u > 0, in Ω; |∇u|p(x)−2∂u/∂ν = λuq(x), on ∂Ω}, where is a bounded domain with C2 boundary, λ is a positive parameter, and p(x), q(x), δ(x), and f(x, u) are assumed to satisfy assumptions (H0)–(H5) in the Introduction. Using some variational techniques, we show the existence of a number Λ ∈ (0, ∞) such that problem (Pλ) has two solutions for λ ∈ (0, Λ), one solution for λ = Λ, and no solutions for λ > Λ.
1. Introduction
Definition 1. u ∈ W1,p(x)(Ω) is called a generalized solution of the equation
Obviously, every weak solution of problem (Pλ) is also a generalized solution of (3).
The operator Δp(x)u≔div(|∇u|p(x)−2∇u) is called p(x)-Laplace where p is a continuous nonconstant function. This differential operator is a natural generalization of the p-Laplace operator Δpu≔div(|∇u|p−2∇u), where p > 1 is a real constant. However, the p(x)-Laplace operator possesses more complicated nonlinearity than p-Laplace operator, due to the fact that Δp(x) is not homogeneous. This fact implies some difficulties; for example, we cannot use the Lagrange Multiplier Theorem in many problems involving this operator.
The study of differential and partial differential equations involving variable exponent is a new and an interesting topic. The interest in studying such problems was stimulated by their applications in elastic mechanics, fluid dynamics, electrorheological fluids, image processing, flow in porous media, calculus of variations, nonlinear elasticity theory, heterogeneous porous media models (see Acerbi and Mingione [1], Diening [2]), and so forth. These physical problems were facilitated by the development of Lebesgue and Sobolev spaces with variable exponent.
Results for p(x)-Laplacian problems Neumann boundary conditions are rare (see [7, 8]). In [7], Fan and Deng studied the Neumann problems with p(x)-Laplace operator and the nonlinear potential f(x, u) under appropriate assumptions. By using the subsupersolution method and variation method, the authors get the multiplicity of positive solutions. In [8], Sreenadh and Tiwari extend previous works on nonlinear parametric problems with the p(x)-Laplace operator to the case where the Neumann boundary condition is nonlinear. Precisely, under supplementary hypotheses on p, q, the authors show that there exists a finite number Λ such that the posed problem has two solutions for λ ∈ (0, Λ), one solution for λ = Λ, and no solutions for λ > Λ.
- (H0)
, 1 < p− ≤ p+ < N, and . As usual, p∗(x) = Np(x)/(N − p(x)).
- (H1)
0 < q(x) ∈ Cβ(∂Ω) for some β ∈ (0,1) satisfying 0 ≤ q+ + 1 < p−(p−/p+).
- (H2)
satisfying 0 < δ− ≤ δ+ < 1.
- (H3)
f(x, 0) = 0 and f(x, t)t ≥ 0 for all .
- (H4)
There exist C1, C2 > 0 such that, for γ > 0, with p+ − 1 < γ and p+ < a−.
(6) - (H5)
There exist a constant M > 0 and θ > p+ such that
(7) -
Next we describe in a more precise way our main results.
Theorem 2. Assume that (H0)–(H5) hold and a(x) ≤ p∗(x) = Np(x)/(N − p(x)) in (6). Then there exists Λ > 0 with the following properties:
- (1)
Problem (Pλ) has a solution uλ for every λ ∈ (0, Λ).
- (2)
Problem (Pλ) has a solution if λ = Λ.
- (3)
Problem (Pλ) does not have any solution if λ > Λ.
Theorem 3. Assume that (H0)–(H5) hold and a(x) < p∗(x) in (6). Then, problem (Pλ) has at least two distinct solutions uλ(x) and vλ(x) for every λ ∈ (0, Λ).
This paper is organized as follows. In Section 2, we will recall some basic facts about the variable exponent Lebesgue and Sobolev spaces which we will use later. Proofs of our results will be presented in Sections 3 and 5.
2. Generalized Lebesgue-Sobolev Spaces Setting
Lemma 4. Consider the following:
The following result generalizes the well-known Sobolev embedding theorem.
Theorem 5 (see [10], [11].)Let be an open bounded domain with Lipschitz boundary and assume that with p(x) > 1 for each . If and p(x) ≤ r(x) ≤ p∗(x) for all , then there exists a continuous embedding W1,p(x)(Ω)↪Lr(x)(Ω). Also, the embedding is compact r(x) < p∗(x) almost everywhere in , where
Now, we recall the following boundary trace embedding theorem from [12].
Theorem 6. Let be an open bounded domain with Lipschitz boundary. If q ∈ C(∂Ω) such that
Next we give a comparison principle as follows.
Lemma 7 (see [8], Lemma 3.2.)Let u, v ∈ W1,p(·)(Ω) be nonnegative functions satisfying
We recall the following strong maximum principle from [13].
Theorem 8. Let , for some 0 < β < 1, satisfy 0≨u, 0≨v and
3. Existence of a Solution
Lemma 9. There exists λ0 > 0 such that (Pλ) admits a solution for λ < λ0.
Proof. Using (14) and the embeddings in Theorem 5, we estimate Eλ(u) for as follows:
Hence, noting that 0 < δ+ < 1 and 1 − δ+ < p+ < a−, we can choose r0 > 0 small enough, and there exists δ0 > 0 such that
Since 1 − δ+ < p+ < θ, this implies that Eλ(tu) → −∞ as t → ∞. Thus, Now, let be a minimizing sequence for c0. Then for r0 ∈ (0, r). Now by the Ekeland variational principle, there exists a sequence {vj} such that and
We prove now the existence of positive solution to (Pλ) for 0 < λ < Λ. Precisely, we have the following result.
Lemma 10. Problem (Pλ) possesses a solution uλ for 0 < λ < Λ.
Proof. Fix 0 < λ < λ2 < Λ. λ2 such that there exist solutions to (Pλ) for λ = λ2, say . Note that is a supersolution for (Pλ). It is clear that 0 is not a local minimizer of Eλ on since Eλ(0) = 0 and Eλ(tv) < 0 for t → 0+. Now, we show the existence of a local minimizer of the functional energy. For this, we use the cut-off argument. Define
Now, using the strong maximum principle (see Theorem 8) and since 0 is not a local minimizer of Eλ on By the definition of , and we have
Now, we show the following result.
Lemma 11. There exists at least one positive weak solution for λ = Λ to problem (Pλ).
Proof. Let , λk↑Λ as k → ∞, and be a solution of such that for all x ∈ Ω. Now, taking as test function in , we get
Inserting (36), (37), and (38) in (33), we get It follows that is bounded in W1,p(x)(Ω) since for all x ∈ Ω. Without loss of generality, in W1,p(x)(Ω) and then by the Sobolev imbedding in Lq(x)(Ω) and for a.e. x ∈ Ω. By the L∞(Ω)-regularity results of [13], the boundedness of implies the boundedness of By the C1,α(Ω)-regularity Theorem 16, the boundedness of implies the boundedness of , where α ∈ (0,1) is a constant. Thus, we have in For every v ∈ W1,p(x)(Ω), since is a solution of problem , we have that, for each k,
Then we prove the following nonexistence result.
Lemma 12. Consider the following:
Λ < ∞.
Proof. Let uλ be a solution of (Pλ). Taking φ ≡ 1 as a test function in the weak formulation of (Pλ), we get
Now, we prove that the solution of problem (Pλ) obtained in Lemma 10 is a local minimum for the functional energy associated to problem (Pλ). Precisely, we have the following result.
Lemma 13. Let uλ be the weak solution of problem (Pλ) obtained in Lemma 10. Then, uλ is a local minimum for .
Proof. Fix 0 < λ1 < λ < λ2 < Λ and let be solutions to (Pλ) for λ = λ1 and λ = λ2, respectively, such that . By Lemma 7, on Define the following cut-off functions:
4. C1 versus W1,p(x) Local Minimizers of the Energy
The following lemma is crucial in showing multiplicity of solutions. It has been shown in the case p = 2 in [18] for the case of critical growth functionals Eλ: , , N ≥ 3 and later for critical growth functionals , 1 < p < N, , N ≥ 3 in [19]. A key feature of these latter works is the uniform C1,α estimate they obtain for equations like (Pϵ) but involving two p-Laplace operators. Using constraints based on Lp-norms rather than Sobolev norms as in [19], the equations for which uniform estimates are required can be simplified to a standard type involving only one p-Laplace operator. This approach was followed in [20] in the subcritical case, in [21] in the critical case, in [22–24], and also in this work to deal with the boundary value problem involving the nonlinear p(x)-Laplacian case. More precisely, we have the following result.
Lemma 14. Suppose that conditions (H0)–(H5) are satisfied. Let satisfying
For proving Lemma 14, we will need the following uniform L∞-estimates for a family of solutions to (Pϵ).
Proposition 15. Let be a family of solutions to (Pϵ), where u0 satisfies (52) and solves (Pλ). Let γ > 1 be such that
The proof of Proposition 15 is a consequence of the results proved in Appendix A in [13]. Hence, the regularity results of Saoudi and Ghanmi [13] give the following regularity result for weak solutions to problem (Pλ).
Theorem 16. Let u ∈ W1,p(x)(Ω)∩L∞(Ω) be a solution to problem (Pλ). Then, there exists such that any weak solution to problem (Pλ) belongs to for some α ∈ (0,1).
Proof of Lemma 14. Assume that the conclusion of Lemma 14 is not true. We define the following constraint for each ϵ > 0:
We now consider the following two cases.
(1) Let ρ(uϵ) < ϵ. Then uϵ is also a local minimizer of Eλ in W1,p(x)(Ω). We now show that Eλ admits Gâteaux derivatives on uϵ to derive that uϵ satisfies the Euler-Lagrange equation associated with Eλ. For this, according to Lemma A.2, in the Appendix, we need to prove that such that
Let and for 0 < t ≤ 1 set ξ(t) = Eλ(uϵ + tuη). Then, there exists c(t) satisfying c(t) > ηt such that inf((uϵ + tuη)/d(x)) ≥ c(t) for t > 0. Then, from Lemma A.4 ξ is differentiable for 0 < t ≤ 1 and . Thus,
Now, since s−δ(x) + f(x, s) + λsq(x) is nonincreasing for 0 < s small enough uniformly to x ∈ Ω (by (H1)–(H3)) and from the monotonicity of the operator −Δp(x)u + |u|p(x)−1u, we have that for 0 < η small enough 0 ≤ ξ′(1) − ξ′(t). Therefore, from Taylor’s expansion and since ρ(uϵ) ≤ ϵ, there exists 0 < γ < 1 such that
Now, we deal with the second case.
(2) ρ(uϵ) = ϵ: we again show that uϵ ≥ ηd(x) in Ω for some η > 0. Taking , ξ(t) = Eλ(uϵ + tuη), we obtain as above that ξ′(t) ≤ ξ′(1) < 0 for 0 < t < 1 and 0 < η small enough.
Then ξ(t) = Eλ(uϵ + tuη) is decreasing. This implies that Eλ(uϵ) > Eλ(uϵ + tuη) for t > 0 and using (52)
We first show that μϵ ≤ 0. We argue by contradiction. Suppose that μϵ > 0; then there exists φ ∈ W1,p(x)(Ω) such that
We deal now with the two following cases.
Case 1 (infϵ∈(0,1)μϵ≝l > −∞). In this case, we write (67) in its PDE form as
In this case, from (57), we have that Hence, we can apply Proposition 15 to conclude that for some constant K > 0 independent of ϵ. Therefore, using Theorem 16 we conclude that for some constant C > 0 independent of ϵ and as ϵ → 0+
Now, we deal with the second case.
Case 2 (infϵ∈(0,1)μϵ = −∞). From above, we can assume that μϵ ≤ −1 for 0 < ϵ small enough. Furthermore, we can find a number M > 0 independent of ϵ > 0 and , such that (1/sδ(x) + f(x, s) + με|s|α(x)−2s) and are negative for all |s| ≥ M. Then, from the weak comparison principle (see Lemma 7 and using (uε − M) + as test function) we have that for ϵ > 0 small enough. Now, since u0 ∈ W1,p(x)(Ω) is a C1 local minimizer, u0 is a weak solution to (Pλ); that is, satisfies ess infKu0 > 0 over every compact set K ⊂ Ω and
5. Existence of a Second Weak Solution for 0 < λ < Λ
In this section, we fix λ ∈ (0, Λ) and let 0 < λ1 < λ < λ2 < Λ, and be as in Section 3. Now, we are able to show the existence of a second solution using the generalized Mountain Pass Theorem. Since the functional is not C1, we use the cut-off functional defined in (86). Define the cut-off functions
Lemma 17. The functional satisfies the Palais-Smale condition.
Proof. Let {un} be a (PS) sequence; namely, is bounded and when n → ∞. Then,
Proof of Theorem 3. Firstly, note that for any solution u of (50). Hence, as in Section 3 we can conclude that uλ is a local minimum for in W1,p(x)(Ω). By the strong comparison principle and Hopf lemma, we can conclude that any critical point of is also a critical point of Eλ and hence u also solves (Pλ). It is easy to see that and are a subsolution and a supersolution to the problem associated with the functional energy Therefore, using the approach as in Theorem 2, we prove that this problem has a solution such that vλ is a local minimizer of in the C1 topology. Now, by the comparison principle we can see that vλ ≥ uλ and also vλ solves (Pλ). If vλ≢uλ the conclusion of Theorem 3 holds. That is, we can assume vλ ≡ uλ and uλ is a strict local minimum of in the W1,p(x)(Ω) topology. Then, from Lemma A.4, the functional and note that as t → ∞. Thus, we can apply Lemma 17 combined with the Mountain Pass Theorem to conclude that problem (Pλ) has a solution vλ such that vλ ≠ uλ. Therefore the proof of Theorem 3 is now completed.
Competing Interests
The authors declare that there is no conflict of interests regarding the publication of this article.
Acknowledgments
This work is supported by the Research Center, Scientific Research Deanship, University of Dammam, KSA, under Award no. 2015078.
Appendix
We start with an important technical tool which enables us to estimate the singularity in the Gâteaux derivative of the energy functional defined in (2).
Lemma A.1. Let 0 < δ < 1. Then there exists a constant Cδ > 0 such that the inequality
An elementary proof of this lemma can be found in Takáč [25, Lemma A.1, p. 233]. We continue by showing the Gâteaux differentiability of the energy functional Eλ at a point u ∈ W1,p(x)(Ω) satisfying in Ω with θ1 = maxdist(x)≤σ(p(x)/(p(x) − 1 + δ(x))) (for details see Theorem 4.2 in [16]).
Lemma A.2. Let assumptions (H0)–(H5) be satisfied. Assume that u, v ∈ W1,p(x)(Ω) and u satisfies in Ω. Then we have
Proof. We show the result only for the singular term ; the other two terms are treated in a standard way. So let
Corollary A.3. Let assumptions (H0)–(H5) be satisfied. Then the energy functional is Gâteaux differentiable at every point u ∈ W1,p(x)(Ω) that satisfies in Ω. Its Gâteaux derivative at u is given by
We continue by proving the C1-differentiability of the cut-off energy functional defined below.
Lemma A.4. Let assumptions (H0)–(H5) be satisfied, and w ∈ W1,p(x)(Ω) such that in Ω. Setting for x ∈ Ω
Proof. As in Lemma A.2, we concentrate on the singular term, the others being standard. Let