1. Introduction
Let
,
, be a bounded domain with a Lipschitz boundary. We consider the obstacle problem
where the colon denotes the Frobenius inner product on
, and the admissible set is
Here, is a given obstacle function and prescribes the Dirichlet boundary data. The term denotes the Euclidean inner product in , integrated over .
Problems of this type originate in the variational modelling of constrained deformations in elasticity and non-Newtonian fluid dynamics, where the stress–strain relation depends nonlinearly on the gradient [
1,
2,
3]. Mathematically, they are formulated as variational inequalities, and their well-posedness is established within the theory of monotone operators. The foundational existence results for equations of the form
with monotone coercive operators go back to Minty, Browder, Leray and Lions [
4,
5]. For obstacle problems specifically, the classical theorem of Kinderlehrer and Stampacchia [
6] provides existence under monotonicity, coercivity and strong-weak continuity; a comprehensive modern treatment is given in [
7].
Substantial progress has been made on obstacle problems for nonlinear elliptic operators. In the scalar setting with variable growth, existence and regularity were established in [
8,
9,
10]. For systems under weak monotonicity, Hungerbühler [
11] developed a compactness approach based on the Minty–Browder theorem. More recently, Young measure techniques have been applied to quasilinear systems with non-standard growth [
12,
13]. These works largely focus on
p-growth or variable exponent growth and establish existence under relatively mild structural assumptions.
A parallel line of research addresses operators with a solution-dependent shift in the gradient variable, i.e., . Such couplings arise in models with convection-like terms or in viscoelasticity where the reference configuration depends on the displacement. The shift fundamentally complicates the analysis: when comparing two admissible functions, the operator is evaluated at different shifts, while the standard monotonicity of is available only under equal shifts.
The works most directly related to ours are those of Allalou et al. [
14,
15]. In [
14], the authors treated an obstacle problem without a lower-order term and without shift, under weak monotonicity via Young measures. In [
15], they considered a
p-Laplacian-type problem with both a solution-dependent shift and a lower-order term, again using Young measures under
p-growth. While these works successfully handle the shift coupling, their proofs rely on heavy measure-theoretic machinery.
Our contribution is twofold. First, we combine the solution-dependent shift and the lower-order term within a
unified quadratic framework, avoiding variable exponents and Young measures entirely. Second, we introduce a
three-term decomposition of the duality pairing that explicitly separates (i) the equal-shift monotone part, (ii) the shift-mismatch cross term, and (iii) the lower-order
-term. This decomposition allows us to control the shift mismatch under the explicit smallness condition
where
is the Lipschitz constant of
,
the Lipschitz constant of
,
the Poincaré constant, and
the strong monotonicity modulus. Existence follows from the classical Kinderlehrer–Stampacchia theorem, and uniqueness is obtained from the same decomposition. The smallness condition is transparent, quantitatively verifiable, and expresses the balance between the symmetric monotone structure of
and the asymmetric perturbation induced by
. We emphasise that the three-term decomposition is new, and our assumptions—though stronger than weak monotonicity—are precisely what allow us to bypass Young measures and obtain uniqueness directly.
This paper is organised as follows.
Section 2 collects preliminaries: function spaces, Poincaré’s inequality, the Kinderlehrer–Stampacchia theorem, and the full list of assumptions.
Section 3 establishes existence by verifying the three hypotheses of the theorem.
Section 4 proves uniqueness.
Section 5 discusses the novelty of the decomposition, the smallness condition, possible extensions to non-quadratic growth and local Lipschitz settings, and provides explicit examples.
Section 6 concludes the paper.
2. Preliminaries
We denote by the standard Lebesgue spaces and by the Sobolev space of functions with weak derivatives in . The subspace is the closure of smooth compactly supported functions in the -norm. The duality pairing between and is denoted by . Here, denotes the topological dual space of , i.e., the space of bounded linear functionals on . All vector-valued functions are understood column vectors, and the Frobenius inner product on matrices is denoted by a colon.
We shall use the following Poincaré inequality: there exists a constant
such that
This constant depends only on the domain
and on the dimension
n, and it is finite because
is bounded with the Lipschitz boundary. For a reference on the Poincaré inequality and its dependence on the domain, see, e.g., ([
7], Chapter 6). We do not need its explicit value.
The convex set is nonempty by assumption. It is closed in the strong topology of because the pointwise constraint a.e. is preserved under strong convergence (after passing to a subsequence) and the trace condition is closed. Moreover, is convex due to the linearity of the constraints. We shall also use the fact that for any , the difference lies in , which is crucial for applying Poincaré’s inequality. Indeed, since , their difference also belongs to .
We now make precise the assumptions on the obstacle and the boundary data . Throughout the paper, we suppose that and that on in the sense of traces, i.e., . This condition is standard and ensures that , since, accordingly, the function belongs to . These assumptions are sufficient for our purposes, but they are not minimal. For instance, one could relax the regularity of to with a suitable compatibility condition, or allow to take values in provided the convex set is nonempty in a weaker sense. However, since our focus is on the structural effect of the shift coupling rather than on sharp regularity conditions, we retain the standard hypotheses. We also note that the obstacle condition is interpreted componentwise a.e.; this can be generalized to a partial order induced by a closed convex cone, but we do not pursue such extensions here.
We recall the classical theorem of Kinderlehrer and Stampacchia, which is our main existence tool.
Theorem 1 (Kinderlehrer–Stampacchia [
6])
. Let be a nonempty closed convex subset of a reflexive Banach space Υ, and let be an operator that is monotone, coercive, and strong-weakly continuous. Here, denotes the topological dual space of Υ. Then, there exists such that We recall that monotonicity means
for all
, coercivity means
for some fixed
, and strong-weak continuity means that if
strongly in
, then
weakly in
.
Assumptions
We impose the following hypotheses on the data.
Assumption 1. The function is a Carathéodory function, i.e., is measurable for every and is continuous for a.e. . Moreover, there exist and a constant such that Assumption 2. There exists a constant such that for a.e. and all , Assumption 3. (Strong monotonicity) There exists a constant such that for a.e. and all , Here, denotes the Frobenius norm on matrices, and the left-hand side is the Frobenius inner product of the two matrix differences; the inequality is understood as a scalar inequality in . This condition can be viewed as a quantitative symmetry property of : it expresses a uniform lower bound on the symmetric part of the operator’s variation, ensuring that the energy functional associated with is strictly convex in the gradient variable when the shift is held fixed. In this sense, plays the role of a symmetry modulus that controls the strength of the monotonicity.
Assumption 4. The Lipschitz constant of , the Lipschitz constant of , and the Poincaré constant satisfy This is the crucial smallness condition that ensures the symmetry-breaking perturbation does not destroy the coercive structure. It quantifies the balance between the symmetric monotone part and the asymmetric shift coupling.
We pause here to discuss the naturalness and optimality of the smallness condition
. This condition is sufficient for our proof, but it is by no means necessary. In fact, it arises from the particular way we have chosen to estimate the cross term
using the crude bound
combined with Poincaré and Young’s inequalities. Sharper estimates are possible if one has additional information about the structure of
or
, such as a decomposition into a strongly monotone part and a compact perturbation, or if one works in a smaller subspace where the Poincaré constant can be improved. Moreover, the condition is scale-dependent: it involves the domain-dependent Poincaré constant, and thus it is more restrictive for domains with large diameter. In some situations, one can replace the Poincaré constant by a sharper eigenvalue-related constant (e.g., the first eigenvalue of the Dirichlet Laplacian). We also note that a condition of this type is common in problems with gradient-dependent lower-order couplings; it is reminiscent of the smallness assumptions in the Lax–Milgram framework for perturbed coercive operators. Thus, while the condition is not optimal in a general sense, it is natural and transparent, and it explicitly displays the competition between the monotone part and the shift perturbation. In the discussion section, we indicate possible relaxations under additional structural hypotheses.
Regarding the assumptions on
, global Lipschitz continuity and strong monotonicity are sufficient but not necessary. One could weaken the Lipschitz condition to local Lipschitz continuity if additional compactness arguments are available, or replace strong monotonicity by weak monotonicity together with a coercivity condition. However, in the latter case, uniqueness may fail, and the proof would require more sophisticated tools (e.g., Young measures or pseudo-monotone operator theory). We also note that if the smallness condition is violated, uniqueness is not guaranteed in general; for instance, in the scalar example discussed in
Section 5, the operator may lose coercivity and multiple solutions may appear. Thus, our assumptions are not minimal, but they are convenient and lead to a clean, elementary proof.
Throughout this paper, we assume that is Lipschitz continuous with constant and that .
3. Existence
Define the operator
by
The integral is well-defined owing to the growth condition, which ensures that
whenever
. Indeed, the Lipschitz property of
gives, for a.e.
z,
so the
-norm of the argument is bounded by
, which is finite for
.
Our main theorem is the following.
Theorem 2. (Main result) Assume and the above hypotheses hold. Then, the obstacle problem (1) admits a unique weak solution. The proof is given in Section 3 and Section 4 below, where we verify the three assumptions of the Kinderlehrer–Stampacchia theorem (closedness and convexity of , monotonicity and coercivity of , and strong-weak continuity) and then establish uniqueness. Remark 1. Compared with the Young-measure-based proofs in [15], which treat p-growth problems with shifts under weak monotonicity, the present quadratic framework offers a significant simplification. We bypass the entire measure-theoretic machinery by exploiting the Kinderlehrer–Stampacchia theorem directly. The three-term decomposition isolates the shift mismatch and reduces it to a controlled Lipschitz perturbation, absorbed under the explicit smallness condition (H3). This makes the proof more elementary, more transparent, and yields a quantitative criterion that is readily verifiable from the problem data. Moreover, the condition explicitly exhibits the balance between the symmetric monotone structure and the asymmetric shift coupling, reinforcing the role of symmetry in the well-posedness of the problem. We proceed by verifying the three assumptions of the Kinderlehrer–Stampacchia theorem.
Lemma 1. The set is closed and convex, and for every .
Proof. The closedness and convexity of
were already discussed. To show that
is a bounded linear functional, take any
. Using the growth condition and Hölder’s inequality,
Since u is fixed, the first integral is bounded by , and the second by . By Poincaré’s inequality, . Thus, , so . This proves the boundedness of the linear functional, since the constant depends only on u and the fixed parameters. □
Lemma 2. is monotone and coercive on .
Proof. We first establish monotonicity. Let
. Set
and
. Then,
where
By the strong monotonicity assumption (Assumption 3), applied with the same shift
, we have
For
, using the Lipschitz estimate (Assumption 2) and Young’s inequality with parameter
,
Applying Poincaré’s inequality to
gives
. Choosing
yields
By the smallness condition (Assumption 4),
, so
. Consequently,
which proves monotonicity. In fact, the estimate shows a stronger form of strict monotonicity up to the lower-order term.
For coercivity, fix
. Let
. Define
Again, by Assumption 3 with the same shift
, we have
For
, using the Lipschitz continuity of
(Assumption 2) and
,
Young’s inequality with
gives
Since
, we obtain
hence,
Using the smallness condition (Assumption 4),
, so
. Therefore,
Let
. Then, the right-hand side is at least
. Hence,
This proves coercivity, since the quotient is bounded below by a positive constant multiplied by the norm, which diverges. □
Lemma 3. is strong-weakly continuous.
Proof. Let
strongly in
. By the Lipschitz continuity of
in the matrix variable (Assumption 2) and of
,
To justify the passage to the limit inside the integral, we note that the Carathéodory property ensures that the composition
is measurable. Moreover, the Lipschitz estimate gives
-convergence of the integrands. Therefore, for any
, the map
converges in
(indeed, by Hölder, the
-convergence of the first factor and the
-boundedness of
imply convergence in
). Hence,
and the lower-order term converges by the strong
convergence of
. Therefore,
for all
, which is exactly strong-weak continuity. The Lipschitz assumptions imply that the nonlinearity is continuous from
into
strongly, which is more than sufficient for the required strong-weak continuity. □
Applying the Kinderlehrer–Stampacchia theorem yields the existence of
satisfying
which is precisely the obstacle problem (
1). This completes the existence part: we have verified that
is nonempty, closed and convex (Lemma 1), and
is monotone and coercive (Lemma 2), and strong-weakly continuous (Lemma 3). All hypotheses of the Kinderlehrer–Stampacchia theorem are thus satisfied.
4. Uniqueness
Theorem 3. The solution obtained in Theorem 2 is unique.
Proof. Assume
are two solutions. Taking
in the inequality for
gives
while taking
in the inequality for
gives
Adding these two inequalities yields
or equivalently,
Expanding the left-hand side, we obtain
Decompose the integral as
, where
By strong monotonicity (Assumption 3) with the same shift
, we have
For
, the same estimate as in the monotonicity proof gives
using the smallness condition (Assumption 4). Hence,
Combining with the inequality above yields
which forces
a.e. and
a.e. since
and Poincaré’s inequality applies. Thus, uniqueness follows. We emphasize that the smallness condition is crucial in this argument: without it, the cross term
could dominate the positive part
and prevent uniqueness. □
5. Discussion
In this section we discuss additional aspects that complement the detailed presentation already given in the Introduction. Since the novelty of the three-term decomposition and the role of the smallness condition have been fully elaborated there, we focus here on extensions, concrete examples, and future directions.
5.1. Onthe Assumptions and Extensions to Local Lipschitz Operators
The assumptions of global Lipschitz continuity and strong monotonicity are chosen for clarity and transparency. However, the method can be extended to operators that are only locally Lipschitz, provided additional compactness or growth conditions are imposed. For instance, if
is locally Lipschitz and
is a compact operator from
into
(e.g., if
maps bounded sets into relatively compact sets in
), then the strong convergence of
in
can be recovered via a Vitali-type argument, even without a global Lipschitz bound. Alternatively, if one has control of the form
then the same estimates hold with
replaced by a suitable norm of
. In the absence of such controls, the strong-weak continuity of
may still hold if the operator is pseudo-monotone, but then the uniqueness proof would break down without additional assumptions. We have added a discussion of these possibilities in the revised manuscript.
5.2. Concrete Examples Satisfying the Assumptions
We now provide explicit examples of operators satisfying all the hypotheses.
Example 1 (scalar linear case). Let , , , and , with . Then, , so the smallness condition holds. All other assumptions are trivially satisfied.
Example 2 (matrix-valued linear case)
. Let , where is a uniformly elliptic and bounded matrix-valued function; i.e., there exist such thatfor a.e. and all . Then, . Let (acting componentwise, with a slight abuse of notation), so . Choose small enough such that . Then, all assumptions are satisfied. Example 3 (nonlinear but structurally simple). Let with (which reduces to the linear case) or more generally take with small. Then, (since the derivative of arctan is nonnegative), and one can choose with sufficiently small to satisfy the smallness condition.
5.3. Future Directions
Extensions to p-growth and variable exponent spaces. A natural direction for future work is to extend the results to operators satisfying
p-growth with
, or to variable exponent settings where the growth exponent
depends on the spatial variable. In the
p-growth case, the natural functional setting is the Sobolev space
with
. The operator
would then satisfy
and a Lipschitz-type estimate in the form
(which is the standard
p-Laplacian type structure). In this context, the three-term decomposition can be adapted by replacing the
-based estimates with
-estimates, and the smallness condition would involve the Poincaré constant for
and appropriate embeddings. The coercivity estimate would then yield
provided the shift mismatch is controlled via a suitable
p-version of Young’s inequality. For variable exponent spaces
, the situation is more delicate because the modular and the norm are not directly proportional, and the Poincaré inequality holds in a modular form. Nevertheless, the decomposition principle remains valid, and the smallness condition would involve the modular Poincaré constant and the Lipschitz constants of the
N-function.
On the assumptions on : beyond Lipschitz and strongly monotone operators. As noted in the introduction, the assumptions of global Lipschitz continuity and strong monotonicity are sufficient for our proof, but they can be generalized. For instance, one could consider pseudo-monotone operators in the sense of Leray–Lions, which satisfy a weaker continuity condition and do not require global Lipschitz bounds. In that case, the strong-weak continuity of
would follow from the standard compactness arguments for pseudo-monotone operators, provided the shift
is compact (e.g., if
maps bounded sets in
into bounded sets in
, which is true under Lipschitz continuity). Similarly, one could replace the strong monotonicity by a weak monotonicity condition of the form
with a coercivity condition that ensures the necessary lower bound. The three-term decomposition would then need to be adapted to control the shift mismatch without the explicit Lipschitz constant
, perhaps using the growth and monotonicity structure of
. Such generalizations are of interest, but they would require a more sophisticated functional-analytic apparatus and are beyond the scope of the present work. We also note that the lower-order term
could be replaced by a more general monotone operator in
, provided the corresponding estimates are available.
From the symmetry perspective, it would be interesting to investigate whether the smallness condition can be interpreted as a stability criterion for the symmetric structure of the variational problem. In particular, one could explore how the symmetry modulus relates to the spectral properties of the linearised operator and whether the condition is sharp in the sense of guaranteeing the preservation of the coercive symmetry. Such questions are natural in the context of symmetry-breaking perturbations and may lead to further insights into the qualitative behaviour of solutions.
Orlicz-space extensions. A particularly relevant direction is the generalization of our results to problems with non-standard growth governed by an
N-function, i.e., to the setting of Orlicz–Sobolev spaces. In this framework, the operator
typically satisfies
A-growth conditions and the monotonicity is expressed in terms of the Orlicz modular. The fundamental existence theory for strongly nonlinear elliptic equations in Orlicz spaces was developed by Benkirane and Elmahi [
16]; see also the related work on variational inequalities in Orlicz–Sobolev spaces by Gossez and Mustonen [
17] and the natural growth results of Boccardo, Gallouët and Murat [
18]. These works provide the necessary functional-analytic tools, including versions of the Minty–Browder theorem adapted to Orlicz spaces. Adapting our three-term decomposition to this more general setting would require a Poincaré-type inequality in the Orlicz–Sobolev space, as well as a careful control of the shift mismatch using the modular analogues of Young’s inequality. The current quadratic case serves as a model for such extensions, and we expect that the same decomposition principle will apply, with the smallness condition involving the constants of the
N-function and the modular Poincaré constant. We leave this generalization for future work. For a modern and comprehensive treatment of Orlicz spaces and generalized Orlicz spaces, we refer to [
19].
Another direction is the study of time-dependent obstacle problems, where the operator involves parabolic terms and the shift may depend on time. The stationary analysis presented here serves as a foundation for such developments.
6. Conclusions
In this paper we have established the existence and uniqueness of weak solutions to an obstacle problem for a nonlinear elliptic operator in divergence form, where the principal part contains a solution-dependent shift . The main novelty of our approach is a three-term decomposition of the duality pairing that explicitly separates the equal-shift monotone part, the shift-mismatch cross term, and the lower-order -term. This decomposition is specifically designed to handle the mismatch of shifts that arises when comparing two admissible functions—a difficulty that is inherent to problems with solution-dependent couplings.
Under the structural assumptions that
is globally Lipschitz and strongly monotone with quadratic growth and coercivity, and that
is Lipschitz, we have shown that the cross term can be controlled by means of Young’s inequality and Poincaré’s inequality, provided the smallness condition
holds. This condition is transparent, quantitatively verifiable, and expresses the balance between the symmetric monotone structure of
and the asymmetric perturbation induced by the shift
.
Existence of a solution follows by a direct application of the classical Kinderlehrer–Stampacchia theorem, after verifying monotonicity, coercivity and strong-weak continuity of the associated operator. Uniqueness is obtained from the very same three-term decomposition. Our approach avoids the heavy measure-theoretic machinery—such as Young measures—that has been employed in previous works on related p-growth problems, and instead provides a streamlined proof within a unified quadratic framework.
We have also discussed possible extensions of the method to operators with local Lipschitz regularity, to p-growth and variable exponent settings, and to Orlicz–Sobolev spaces. These directions, as well as time-dependent versions of the problem, constitute natural subjects for future investigation. We believe that the three-term decomposition introduced here may be of independent interest and applicable to a broader class of variational inequalities with solution-dependent perturbations.