Abstract
The paper deals with semilinear operator equations involving iterates of a strongly monotone symmetric linear operator. In particular there are consider semilinear polyharmonic equations subject to the Navier boundary conditions. A careful analysis is made on the energetic spaces associated to such problems and a number of existence results are obtained by using a fixed point approach.
Authors
Radu Precup
Babes-Bolyai University, Cluj-Napoca, Romania
Tiberiu Popoviciu Institute of Numerical Analysis, Romanian Academy
Keywords
polyharmonic equation, iterates of symmetric linear operators, energetic space
Paper coordinates
R. Precup, Semilinear problems with poly-Laplace type operators, Proceedings of the Romanian Academy Series A, 23 (2022) no. 4, pp. 319-328.
About this paper
Publisher Name
DOI
Print ISSN
1454-9069
Online ISSN
1454-9069
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Paper (preprint) in HTML form
Semilinear problems with poly-Laplace type operators
Abstract
The paper deals with semilinear operator equations involving iterates of a strongly monotone symmetric linear operator. In particular there are consider semilinear polyharmonic equations subject to the Navier boundary conditions. A careful analysis is made on the energetic spaces associated to such problems and a number of existence results are obtained by using a fixed point approach.
Mathematics Classification: 35J40, 46E35, 47J25
Key words: Polyharmonic equation, iterates of symmetric linear operators, energetic space.
1 Introduction
There is known the bi-Laplace equation whose solutions are called biharmonic functions. The equation arises as a model for the elastic equilibrium in the theory of elasticity. Also there are known its generalizations, the poly-Laplace equations whose solutions are said to be polyharmonic of order (see, [9] and [10]). The operator is referred as the bi-Laplacian and is said to be the Laplacian of order The non-homogeneous versions of these equations are
and when considered in a domain in case there has been added the boundary condition
(1.1) |
where is the unit normal vector to the boundary, or the boundary condition
(1.2) |
(see [8]). For condition (1.1) can be generalized following Lauricella [7] as follows
and (1.2), as suggested by Riquier [13], by
For the classical theory of polyharmonic functions we refer the reader to the volume [9] which brings together the entire contribution of Miron Nicolescu to this field and which allows obtaining information on contributions originating from old, less accessible publications.
Modern theory has introduced the concept of weak solution and Sobolev spaces as natural framework for the study of these operators and of the associated semilinear problems. Thus the problem
(1.3) |
involving the natural boundary condition can be naturally addressed in endowed with the equivalent norm Other studies (see, e.g., [1], [2], [4] and [11]) have aimed to treat problems of type (1.3) under the boundary conditions on (called Navier boundary conditions [5]) by looking for solutions in the space with norm The problem is that the condition ”on ” not being a natural boundary condition it does not follow from the variational formulation of the problem. This is the reason to restrict the study to a subspace of functions in order to give a meaning to the equality on the boundary. This will be one of our main goals in this work. Roughly speaking we suggest that the iterative nature of the differential operator to reflect on its energetic space and consequently on some basic inequalities. We lead this discussion more generally considering instead of Laplacian a strongly monotone symmetric linear operator Thus our results will concern semilinear operator equations of the form
where is the -th iterate of defined recursively by The whole approach is based on the theory of the energetic space associated to There are thus obtained existence results for the problem
(1.4) |
where is given and is on the position of a perturbation of In particular, we obtain results for semilinear poly-Laplace equations.
2 Preliminaries
In this section we recall the notion of energetic space (see [14]) and some related results.
2.1 The energetic space
Let be a real Hilbert space with the inner product and the norm Let be a linear subspace of and be a strongly monotone symmetric linear operator, that is, a linear operator satisfying
(2.1) |
and some constant Then, endowed with the energetic inner product
and the energetic norm
becomes a pre-Hilbert space. Its completion (see, e.g., [6, Section I 4.3]) denoted by is called the energetic space of In virtue of (2.1), any Cauchy sequence in the energetic norm is also a Cauchy sequence in the norm This allows us to see as a subset of the original complete space and the elements of as limits in of Cauchy sequences from Furthemore, the energetic inner product and norm can be extended from to by
where and are Cauchy sequences in that converge in to and respectively.
2.2 Abstract Poincaré’s inequality
Inequality (2.1) can be extended by density from to showing that
(2.2) |
Thus is an embedding constant for the continuous inclusion We call this inequality Poincaré’s inequality.
If the embedding is compact, then there is a largest embedding constant and the inequality is reached. Indeed, if we denote
then and if we take any minimizing sequence , that is
then using the compactness of the embedding and passing eventually to a subsequence we can assume that in for some Furthermore, from the identity
since we deduce
as Hence is a Cauchy sequence in Let be such that in Then in too, and the uniqueness of the limit implies that Consequently, that is Thus the infimum is reached and is the best constant in (2.2). Thus, in case that the embedding is compact, Poincaré’s inequality reads as follows:
2.3 The dual of the energetic space
Having for the dual spaces we have and if, based on Riesz’ theorem, we assume the identification then one has
In addition, from (2.2) we also have
(2.3) |
Indeed, if then for any one has where by we mean the value of a linear functional at a given element. Then
Notice in case that the embedding is compact, so is the embedding and in (2.3) we may take as in (2.2) the best constant
2.4 Extension of operator
Clearly we can define the linear operator by
In particular, if then since one has which by the density of into can be extended to all Thus the functionals and act identically in The last one is a continuous linear functional on which in virtue of Riesz’s representation theorem is identified with In this sense, as continuous linear functionals on one has and therefore can be seen as an extension of from to It is common to use the same symbol for the extension Thus
2.5 The inverse of operator
In the previous subsection we have that for every there is a unique element denoted with
(2.4) |
Conversely, for every by Riesz’s theorem, there is a unique element with
Clearly and thus Hence the inverse of is the operator defined by
The two linear operators and are isometries between and Indeed, letting in (2.4) gives
whence The converse inequality comes from
Hence
2.6 Weak solutions to linear operator equations
Consider the operator equation associated to
By a (strong) solution we mean an element such that Obviously this is possible if By a weak solution we mean an element satisfying the identity
When speaking about weak solutions we may assume more generally that In view of the previous subsection, for each the equation has a unique weak solution, namely
Note that looking for weak solutions to a semilinear equation
where is any mapping, reduces to solving the fixed point equation
3 Semilinear operator equations involving iterates of a symmetric linear operator
We now come back to problem (1.4), where is a linear operator as in Introduction.
3.1
Functional framework
Looking at the required conditions on the elements to belong to the energetic space of the operator we may seek solutions in the space
Here for Since and one has
(3.1) |
We endow with the inner product and norm
Note that the functional is indeed a norm on since if for some one has then whence and so on until we obtain
Lemma 3.1
The space endowed with the inner product is a Hilbert space which continuously embeds in
Proof. Let be any Cauchy sequence in Then is Cauchy in so convergent in to some Since the embedding is continuous, we then have in Next, the continuity of from to implies in Repeating the above reasoning we arrive to the conclusion that in that is in This proves that is complete.
Knowing the operator from to and the inclusions (3.1) we immediately can see that for every there is a unique namely which solves the non-homogeneous equation
Consequently, solving a semi-linear equation of the form
where is any mapping, is equivalent to the fixed point equation
for the operator
3.2 Existence and uniqueness under a Lipschitz condition
Using Banach contraction principle we obtain the following result on problem (1.4).
Theorem 3.2
Let satisfy
(3.2) |
for all and some nonnegative constants If
(3.3) |
then problem (1.4) has a unique solution
Proof. Problem (1.4) is equivalent to the fixed point equation
Using (3.2) and Poincaré’s inequality (2.2), for any we have
Furthermore, for ant one has
Repeating the above estimations for we obtain
(3.5) |
Then
which in view of (3.3) shows that the operator
is a contraction on The conclusion now follows from Banach contraction principle.
3.3 Existence under a linear growth condition
If instead of the Lipschitz condition (3.2) we only have a linear growth condition on and we assume that the embedding is compact, then we can still prove the existence of at least one solution by using Schauder’s fixed point theorem.
Theorem 3.3
Proof. As above we now have
Since and is a self mapping of the closed ball of centered at the origin and of radius On the other hand can be decomposed as
where
All these operators are continuous and bounded (send bounded sets to bounded sets) and is compact. As a result their composition is completely continuous. Now the conclusion follows from Schauder’s fixed point theorem applied to in the ball
3.4 Existence via a priori bounds
We may replace the growth condition on by a sign type condition as shows the following theorem.
Theorem 3.4
Assume that is completely continuous and satisfies
(3.8) |
for all and some Then problem (1.4) has at least one solution . Moreover, any solution of the problem satisfies
(3.9) |
Proof. Using a similar reasoning as in the previous proof we can show that the operator is completely continuous. We now prove that the set of all possible solutions of the equations
for is bounded as (3.9) shows. Indeed, if is such a solution, then
Next since based on (3.8), one has
It follows that
whence (3.9). The existence of a solution is guaranteed by the Leray-Schauder principle.
4 Semilinear problems with poly-Laplace operators
The results established in Section 3 can be easily applied to problems involving poly-Laplace operators, more exactly to the problem
(4.1) |
Here is bounded open, and Hence
Also the compactness of the imbedding holds and the imbedding constant in Poincaré’s inequality is where is the first eigenvalue of the Dirichlet problem for Laplacian (for the theory of elliptic problems, see, e.g., [3] or [12]).
In this case, is the superposition operator
Theorem 3.2 yields the following result.
Corollary 4.1
Proof. According to the main theorem abut Nemytskii’s superposition operator, maps to In addition, for any from (4.2) we find
Thus Theorem 3.2 is applicable and gives the result.
Theorem 3.3 yields the following result.
Corollary 4.2
Using Theorem 3.4 we obtain the following result.
Corollary 4.3
Let satisfy the Carathéodory conditions and
(4.4) |
for all a.e. some nonnegative constants a number and a function where In addition assume that
for every and some Then problem (4.1) has at least one solution Moreover, any solution satisfies
Proof. Let Clearly Hence the embedding is continuous, while since the embedding is compact. In addition since from (4.4) we have that Nemytskii’s superposition operator is well-defined, continuous and bounded from to Then our operator can be decomposed as where
Since is compact one deduces that is completely continuous.
We now check condition (3.8). For one has
Hence the assumptions of Theorem 3.4 are fulfilled and the conclusion follows.
In contrast with the general case of equations involving iterates of a linear operator the case of the Laplace operator is a special one due to the representation of the Laplacian as a composition of two differential operators, the gradient and the divergence. This particularity allows nonlinear terms of semilinear equations also to depend on gradient. Thus, instead of problem (4.1) we can consider more generally the problem
(4.5) |
Then looking to extend to this problem the results in Corollaries 4.1 and 4.2, the expression of constant in (3.3) should be completed by terms involving odd powers of (). For example, if is such that
for all and (where applied to vectors from notation stands for the Euclidian norm), then trying to follow the estimation made for (3.2) we arrive to the final sum
According to (3.5) we have
which help in the estimation
Then the analogue of (3.2) for the new operator
is the estimate
Thus the contraction condition guaranteeing the existence and uniqueness of the solution of (4.5) is now
An analogue result to Corollary 4.2 can be established under the growth condition on
and the same condition on the constants and
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