1. Introduction
Consider the following system of differential inclusions subject to the Dirichlet boundary condition:
on a bounded domain
for
with a Lipschitz boundary
. For a later use,
denotes the Lebesgue measure of
. In (
1) we have, for
and
, the
-Laplacian
,
-Laplacian
,
-Laplacian
, and
-Laplacian
. Throughout the paper, corresponding to any real number
we denote
(the Hölder conjugate of
r). Furthermore,
and
denote the first eigenvalues of
and
, respectively (see
Section 2 for a brief review).
The multivalued term in the inclusion (
1) is expressed as the generalized gradient
of a locally Lipschitz function
, so pointwise
is a subset of
. We reference [
1] for the subdifferentiation of locally Lipschitz functionals. Some basic elements are presented in
Section 2. Any
is a point of
; thus, it has two components, i.e.,
. Hence, (
1) is a system of two differential inclusions that we call hemivariational inclusions because they involve generalized gradients. The inclusion problem (
1) incorporates systems of equations with discontinuous nonlinearities. Differential equations with discontinuous nonlinearities via the generalized gradients were first studied in [
2].
According to the definition of generalized gradient, it is apparent that each solution to system (
1) solves the inequality problem.
where the notation
stands for the generalized directional derivative of the locally Lipschitz function
F on
. Problem (
2) is a hemivariational inequality in the product space
. The interest in hemivariational inequalities is that they allow nonconvex potentials. For the study of hemivariational inequalities, we refer to [
3,
4,
5,
6,
7].
For the locally Lipschitz function , we assume the following condition:
- (H)
There are positive constants
,
,
,
,
,
,
,
, with
,
, and
such that
and
for all and .
In the statement of (
1), there are two parameters
and
. The leading operators are
and
, for which the ellipticity condition fails when
and
, which is the main point of our work (note that
and
are arbitrary real numbers). In this case, they become the so-called competing operators that were introduced in [
8]. Precisely, a competing operator was defined in reference [
8] as
versus
((
-Laplacian) for
. The essential feature of such an operator is that the ellipticity property is lost. For any
and any scalar
, the following expression does not have a constant sign when
varies:
Systems of differential equations with competing operators were investigated in [
9].
Due to the possible loss of ellipticity for system (
1), we introduce a new type of solution called a generalized solution. It is said that
is a generalized solution to problem (
1) if there exists a sequence
such that
- (i)
in as for ;
- (ii)
in as , with for , and a.e. on ;
- (iii)
and .
The notion of a generalized solution was proposed in [
10] for differential equations driven by competing operators and in [
9] for systems of differential equations with competing operators. The notion of a generalized solution for hemivariational inequalities with competing operators was recently introduced in [
7]. Here, for the first time, we define the generalized solution for a system of hemivariational inclusions exhibiting competing operators.
We also introduce the notion of a weak solution to system (
1). By a weak solution to system (
1), we understand any pair
for which the following holds:
with
satisfying
a.e. on
. Equivalently, (
3) can be written in the system form as follows:
with
as in (
3), where the equalities hold in dual spaces
and
. Notice that any weak solution to system (
1) is a generalized solution. Indeed, if
is a weak solution, it is sufficient to take
and
in the definition of a generalized solution.
Our main results read as follows.
Theorem 1. Assume that condition (H) holds. Then, there exists a generalized solution to system (1) for every . Theorem 2. Assume that condition (H) holds. If and , then each generalized solution to system (1) is a weak solution. In particular, if and , system (1) possesses a weak solution. In the proof of Theorem 1, we make use of approximation through finite dimensional subspaces via a Galerkin basis combined with minimization and nonsmooth analysis. We obtain a priori estimates, which are of independent interest in the context of competing operators. The proof of Theorem 2 relies on properties of the underlying spaces and of operators of the p-Laplacian type. We end the paper with an example illustrating the applicability of our results.
The rest of the paper is organized as follows.
Section 2 is devoted to the related mathematical background.
Section 3 contains the needed minimization results and estimates.
Section 4 sets forth the finite dimensional approximation approach.
Section 4 presents the proofs of Theorems 1 and 2, as well as an example.
2. Mathematical Background
Given a Banach space X with the norm , denotes the dual space of X, and denotes the duality pairing between X and . The norm convergence in X and is denoted by →, and the weak convergence is denoted by ⇀.
We outline basic elements of nonsmooth analysis. For a detailed treatment, we refer to [
1]. A function
on a Banach space
X is called locally Lipschitz if, for every point
, there are an open neighborhood
U of
u and a constant
such that
The generalized directional derivative of a locally Lipschitz function
at point
in direction
is defined by
and the generalized gradient of
G at
is the following set
The following relation links the two notions:
We illustrate these definitions in two significant situations. For a continuous and convex function , the generalized gradient coincides with the subdifferential of G in the sense of convex analysis. If the function is continuously differentiable, the generalized gradient of G is just the differential of G.
We also mention a few things regarding the driving operators in system (
1) (or hemivariational inequality (
2)). Given any number
, the Sobolev space
is endowed with the norm
, where
denotes the
norm. The dual space of
is
. As usual,
denotes the Sobolev critical exponent, that is,
if
and
otherwise. The Rellich–Kondrachov embedding theorem ensures that
is compactly embedded into
for every
. In particular, there exists a positive constant
such that
For the background of Sobolev spaces, we refer to [
11]. Here, we solely recall that a Banach space
with
is separable. This implies the existence of a Galerkin basis of space
, meaning a sequence
of vector subspaces of
satisfying
- (a)
;
- (b)
;
- (c)
.
We refer to [
12] for background related to Galerkin bases.
The negative
r-Laplacian
is the operator (nonlinear if
) given by
The first eigenvalue of
is given by
More details can be found, e.g., in [
3]. Since
and
, there are the continuous embeddings
and
, which can be readily verified through Hölder’s inequality. Therefore, the sums
and
entering system (
1) are well defined.