Estimates of eigenvalues of an elliptic differential system in divergence form
Abstract.
In this paper, we compute universal estimates of eigenvalues of a coupled system of elliptic differential equations in divergence form on a bounded domain in Euclidean space. As an application, we show an interesting case of rigidity inequalities of the eigenvalues of the Laplacian, more precisely, we consider a countable family of bounded domains in Gaussian shrinking soliton that makes the behavior of known estimates of the eigenvalues of the Laplacian invariant by a first-order perturbation of the Laplacian. We also address the Gaussian expanding soliton case in two different settings. We finish with the special case of divergence-free tensors which is closely related to the Cheng-Yau operator.
Key words and phrases:
Eigenvalue problems, Estimate of eigenvalues, Elliptic differential system, Gaussian soliton, Rigidity results.2010 Mathematics Subject Classification:
Primary 47A75; Secondary 47F05, 35P15, 53C24, 53C251. Introduction
Let be the -dimensional Euclidean space with its canonical metric , and be a bounded domain with smooth boundary . Let us consider a symmetric positive definite -tensor on and a function , so that we can define a second-order elliptic differential operator in the -divergence form as follows:
(1.1) |
where stands for the divergence operator and for the gradient operator. Since is bounded, there exist two positive real constants and , such that , where is the -tensor identity on .
The analysis of the sequence of the eigenvalues of elliptic differential operators in divergence forms in bounded domains in is an interesting topic in both mathematics and physics. In particular, problems linking the shape of a domain to the spectrum of an operator are among the most fascinating of mathematical analysis. One of the reasons which make them so attractive is that they involve different fields of mathematics such as spectral theory, Riemannian geometry, and partial differential equations. Not only the literature about this subject is already very rich, but also it is not unlikely that operators in divergence forms may play a fundamental role in the understanding of countless physical facts.
In this paper, we address the eigenvalue problem for an operator which is a second-order perturbation of . More precisely, we compute universal estimates of the eigenvalues of the coupled system of second-order elliptic differential equations, namely:
(1.2) |
where is a vector-valued function from to , the constant is non-negative and .
We will see that is a formally self-adjoint operator in the Hilbert space of all vector-valued functions that vanish on in the sense of the trace. It follows from inner product induced by Eqs. (3.3) and (3.4) in Section 3. Thus the eigenvalue problem (1.2) has a real and discrete spectrum
(1.3) |
where each is repeated according to its multiplicity.
A special case that we can obtain from Problem 1.2 occurs when is divergence-free, see Problem 6.2. For the sake of convenience, we address this case in Section 6. Some results from Problems 1.4 and 1.5 below are particular cases of this section. However, these two latter problems still remain prototype for us. In the next two paragraphs, we make brief comments about them.
When is a constant and is the identity operator on , Problem (1.2) becomes
(1.4) |
where and is the Laplacian operator on . The operator is known as Lamé’s operator. In the -dimensional case it shows up in the elasticity theory and is determined by the positive constants of Lamé, so the assumption is justified. For further details on this issue, the interested reader can consult Pleijel [16] or Kawohl and Sweers [11]. It is worth mentioning here the works of Levine and Protter [12], Livitin and Parnovski [13], Hook [10], Cheng and Yang [5] and Chen et al. [3] in which we can find some interesting estimates of the eigenvalues of Problem (1.4). We will be more precise later when we will discuss the three latter papers.
When is not necessarily constant and , Problem (1.2) is rewritten as
(1.5) |
where and is the drifted Laplacian operator on . The drifted Laplacian as well as the Bakry-Emery Ricci tensor are the most appropriate geometric objects to study the smooth metric measure spaces . In particular, the Bakry-Emery Ricci tensor has been especially studied in the theory of Ricci solitons, since a gradient Ricci soliton is characterized by , for some constant .
In Corollary 2.5, we show an interesting case of rigidity inequalities of eigenvalues of the Laplacian in a countable family of bounded domains in Gaussian shrinking soliton by taking a specific isoparametric function as being the drifting function , see Remarks 2.2 and 2.3. We address the Gaussian expanding soliton case in Corollaries 2.6 and 2.7.
Throughout this paper stands for the weight volume form on and for the Euclidean norm. Moreover, let us define
so that
(1.6) |
Henceforth, since there is no danger of confusion, we are using the same notation for the norm in (1.6) as well as for the canonical norm of a real-valued function in .
Our proofs will be facilitated by analyzing the more general setting in which the function is not necessarily constant and is not necessarily the identity. In this case, we prove a universal quadratic estimate for the eigenvalues of Problem (1.2), which is an essential tool to obtain some of our estimates.
Theorem 1.1.
Let be a bounded domain and be a normalized eigenfunction corresponding to -th eigenvalue of Problem (1.2). Then, for any positive integer , we get
where
(1.7) |
and .
Remark 1.1.
Notice that the constant in Eq. (1.7) has been appropriately defined such that , for .
We identify the quadratic estimate in Theorem 1.1 as the most appropriate inequality for the applications of our results. In particular, the constant in (1.7) has a crucial importance for us.
Theorem 1.1 is an extension for on vector-valued functions of the well-known Yang’s estimate of the eigenvalues of the Laplacian on real-valued functions. Its proof is motivated by the corresponding results for the Laplacian on real-valued functions case by Yang [20], for on vector-valued functions case by Chen et al. [3, Theorem 1.1], and for on real-valued functions case by Gomes and Miranda [9].
We also prove an estimate for the sum of lower order eigenvalues in terms of the first eigenvalue and its correspondent eigenfunction.
Theorem 1.2.
Let be a bounded domain, be the -th eigenvalue of Problem (1.2), for , and be a normalized eigenfunction corresponding to the first eigenvalue. Then, we get
2. Applications
We begin this section by defining a known class of the functions which is closely related to our applications. A nonconstant smooth function is called transnormal function if
(2.1) |
for some smooth function on the range of in . The function is called an isoparametric function if it moreover satisfies
(2.2) |
for some continuous function on the range of in .
Eq. (2.1) implies that the level set hypersurfaces of are parallel hypersurfaces and it follows from Eq. (2.2) that these hypersurfaces have constant mean curvature. Isoparametric functions appear in the isoparametric hypersurfaces theory (i.e., has constant principal curvatures) systematically developed by Cartan [2] on space forms. Wang [18] considered the problem of extending this theory to a general Riemannian manifold and studied some properties of (2.1) and (2.2) more closely. Notice that isoparametric functions exist on a large class of spaces (e.g. symmetric spaces) other than space forms. Currently, new examples of isoparametric functions on Riemannian manifolds have been discovered, for instance, the potential function of any noncompact gradient Ricci soliton with constant scalar curvature is an isoparametric function, since we can assume that (after a possible rescaling) satisfies and , see, e.g., Chow et al. [7]. In particular, the potential function of the Gaussian shrinking soliton is an isoparametric function, see Example 2.1. This latter fact and a brief analysis of the constant in (1.7) were the main motivations to consider the isoparametric function to give some applications of our results. The quadratic estimate below is a basic result for it.
Corollary 2.1.
Let be a bounded domain and be a normalized eigenfunction corresponding to -th eigenvalue of Problem (1.5). Then, for any positive integer , we get
(2.3) |
where . Moreover, , for .
Proof.
The following corollary is an immediate consequence of Theorem 1.2.
Corollary 2.2.
Let be a bounded domain, be the -th eigenvalue of Problem (1.5), for , and be a normalized eigenfunction corresponding to the first eigenvalue. Then, we get
(2.4) |
where and .
Notice that the appearance of the constant is natural, since we did not impose any restriction on the function . We highlight that this constant has an unexpected geometric interpretation. Indeed, let us consider the warped metric on the product , where stands for the canonical metric in the domain , whereas is the canonical metric of the unit sphere , so that the scalar curvature of is given by . Hence, we can obtain as supremum of the scalar curvature on the warped product . Moreover, we ask the following natural question:
Question 1.
We give an answer to this question by using a specific family of domains in Gaussian shrinking soliton. More precisely, we consider a countable family of bounded domains in that makes the behavior of known estimates of eigenvalues of the Laplacian invariant by a first-order perturbation of the Laplacian, see Corollary 2.5.
Now, as mentioned in the introduction, we immediately recover the following inequality:
(2.7) |
which has been obtained by Chen et al. [3, Corollary 1.2] for Problem (1.4). Indeed, it follows from (2.5) and (2.6), since and we can take to be a constant. Moreover, Inequality (2.7) implies Theorem 1.1 in Cheng and Yang [5], whereas [5, Theorem 1.1] implies Theorem 10 in Hook [10]. However, we highlight that Inequality (2.6) provides an estimate for the eigenvalues of Problem (1.4) which is better than Inequality (2.7).
In the case of Problem (1.5), we can see that Inequality (2.4) is better than Inequality (1.7) in Du and Bezerra [8]; whereas Inequality (2.6) is better than Inequality (1.3) again in [8].
Besides, from Inequality (2.6) and following the steps of the proof of [9, Theorem 3], we obtain the inequalities:
Corollary 2.3.
Proof.
Again from (2.6) and by applying the recursion formula of Cheng and Yang [4], we obtain the following corollary.
Proof.
From the classical Weyl’s asymptotic formula for the eigenvalues [19], we know that estimate (2.11) is optimal in the sense of the order on .
Remark 2.1.
If , then the inequalities of eigenvalues (2.6) and (2.11) have the same behavior as the known estimates of the eigenvalues of , see Inequality (2.7) and Chen et al. [3, Corollary 1.4], respectively. In the same way, the inequalities of eigenvalues (2.3) and (2.3) imply
which have the same behavior as the inequalities of the eigenvalue of obtained by Chen et al. [3, Corollary 1.3].
Remark 2.2.
For case, if for some function (possibly radial or isoparametric), then the inequalities (2.4), (2.6), (2.3) and (2.11) have the same behavior as the known estimates of the eigenvalues of the Laplacian, see [1, Inequality (6.2)], [20, Theorem 1], [4, Inequality (1.8)] and [4, Corollary 2.1], respectively.
Example 2.1 below is a special case of . To see this, let us consider an isoparametric function on , where is any nonzero real number, an integer with and . It is easy to verify that
In particular, if , the function is the potential function of the Gaussian shrinking () or expanding () soliton on . We now take into the equation of in Corollary 2.1, so that,
(2.12) |
With these considerations in mind, we write the next two examples.
Example 2.1.
Let us consider the family of bounded domains in Gaussian shrinking or expanding soliton given by
where is a rational number, and stands for the open ball of radius centered at the origin in . So,
(a) Shrinking case:
(b) Expanding case:
Example 2.2.
Let us consider the domain to be the open ball of radius centered at the origin in Gaussian shrinking or expanding soliton . From Eq. (2.12), we easily see that for both shrinking and expanding case.
We are now in the right position to give the interesting applications that we had promised.
Corollary 2.5 (Non-dependence of ).
Let us consider the family of domains given by Example 2.1 in Gaussian shrinking soliton . Let be the -th eigenvalue of the drifted Laplacian on real-valued functions, with drifting function , on each with Dirichlet boundary condition. Then, we get
and
Proof.
Remark 2.3.
Now, we will address the expanding case.
Corollary 2.6.
Let be the open ball of radius centered at the origin in Gaussian expanding soliton . Let be the first eigenvalue of the drifted Laplacian on real-valued functions, with drifting function , on with Dirichlet boundary condition. Then, we have
and the next estimate for the sum of lower order eigenvalues of in terms of the first eigenvalue
(2.13) |
Proof.
Let and be the first and second eigenvalues of the drifted Laplacian on real-valued functions on with Dirichlet boundary condition, respectively. If , then both and are concave functions on the closure of the convex domain . Thus, we can apply Theorem 3 by Ma and Liu [14] to obtain
(2.14) |
On the other hand, note that we can use (2.3) or (2.11), for , to get
(2.15) |
Combining (2.14) and (2.15), we conclude that
Corollary 2.7.
Let us consider the family of domains given by Example 2.1 in Gaussian expanding soliton . Let be the -th eigenvalue of the drifted Laplacian on real-valued functions, with drifting function , on each with Dirichlet boundary condition. Then, it is valid the following estimate for the sum of lower order eigenvalues of in terms of the first eigenvalue:
Proof.
In fact, we can use (2.4), for , to deduce the required estimate. ∎
Remark 2.4.
3. Preliminaries
This section is brief and serves to set the stage, introducing some basic notation and describing what is meant by the properties of a -tensor in a bounded domain with smooth boundary .
Throughout the paper, we will be constantly using the identification of a -tensor with its associated -tensor by the equation
In particular, the tensor will be identified with the identity in . From the definition of -divergence of (see Eq. (1.1)) and the usual properties of divergence of vector fields, one has
(3.1) |
for all .
Notice that the -divergence form of on allows us to check that the divergence theorem remains true in the form
(3.2) |
In particular, for ,
where and are the weight volume form on and the volume form on the boundary induced by the outward unit normal vector on , respectively. Thus, the integration by parts formula is given by
(3.3) |
for all . Hence, is a formally self-adjoint operator in the space of all real-valued functions in that vanish on in the sense of the trace. Furthermore, from (3.1) and (3.2) we obtain
(3.4) |
for all vector-valued function and both from to , with vanishing on .
We conclude that is a formally self-adjoint operator in the Hilbert space of all vector-valued functions that vanish on in the sense of the trace, with inner product induced by Eqs. (3.3) and (3.4). Thus the eigenvalue problem (1.2) has a real and discrete spectrum , where each is repeated according to its multiplicity.
It is worth mentioning here the paper by Gomes and Miranda [9, Section 2] from which we know some geometric motivations to work with the operator in the -divergence form in bounded domains in Riemannian manifolds. They showed that it appears as the trace of a -tensor on a Riemannian manifold , and computed a Bochner-type formula for it. An interesting fact is that Eq. of [9] relates the operator to Cheng and Yau’s operator defined in [6]. In particular, if we take to be the Einstein tensor, then this latter relation is likely to have applications in physics.
For a vector-valued function from to , we define
Now, we are considering two definitions for , and since there is no danger of confusion, we are using the same notation for both definitions. Let be a vector field on , we define
and
(3.5) |
Moreover, for all real-valued functions it is immediate from the properties of and the symmetry of that
So, the following equation is well understood for a vector-valued function and a real-valued function
(3.6) |
Besides, we are using the classical norms: and . We observe that implies
(3.7) |
In particular, we obtain
(3.8) |
4. Three technical lemmas
In order to prove our first theorem we will need three technical lemmas. The first one is motivated by the corresponding results for Problem (1.4) proven by Chen et al. [3, Lemma 2.1] and for Problem (1.5) proven by Du and Bezerra [8, Lemma 2.1]. Here, we follow the steps of the proof of Lemma 2.1 in [3] with appropriate adaptations for .
Lemma 4.1.
Let be a bounded domain, be the i-th eigenvalue of Problem (1.2) and be a normalized vector-valued eigenfunction corresponding to . Then, for any and any positive constant , we obtain
Proof.
Let be a normalized vector-valued eigenfunction corresponding to , i.e., it satisfies
(4.1) |
Since is the minimum value of the Rayleigh quotient (see, e.g., [15, Theorem 9.43]), we must have
(4.2) |
for any nonzero vector-valued function satisfying
Let us denote by to consider the vector-valued functions given by
(4.3) |
so that
(4.4) |
Then, we can take in (4.2) and use formula (3.4) to obtain
(4.5) |
i.e.,
Therefore,
(4.6) |
But, from (4.3)
then
Thus,
(4.7) |
So, replacing (4) into (4), we obtain
(4.8) |
Hence, from (4.5) and (4), we have
(4.9) |
Using integration by parts formula (3.3) and (4.3), we get
(4.10) |
where
(4.11) |
Moreover, by straightforward computation from (3.1), (3.2) and (4.3), we have
(4.12) |
Putting
(4.13) |
By a similar computation as in [3, Eq. (2.9)], from (4.1) and (4.11), we get
then
Thus,
(4.14) |
Furthermore, from (4) and (4.13), we have
(4.15) |
For any constant , from (4.4), (4.10) and the inequality of Cauchy-Schwarz, we infer
hence, using (4.14) and (4.15), we obtain
Summing over from to , we obtain
(4.16) |
Since and , we have
and
Therefore, from (4), we get
whence
This finishes the proof of Lemma 4.1. ∎
The proof of the next lemma follows the steps of the proof of Proposition 2 in Gomes and Miranda [9] with appropriate adaptations for vector-valued functions from to .
Lemma 4.2.
Let be a bounded domain, be the -th eigenvalue of Problem (1.2) and be a normalized vector-valued eigenfunction corresponding to . Then, for any positive integer , we get
Proof.
Let be the coordinate functions of , then taking in Lemma 4.1 and summing over from 1 to , we get
Therefore,
(4.17) |
By straightforward computation, we have
Similarly to the calculations in [9, Eq. (3.23)], we obtain
From [9, Eq. (3.24)], for all , we get
then, using (3), we obtain
Moreover,
Substituting the previous equalities into (4) and remembering that , we get
(4.18) |
Since , then . Hence from (4)
(4.19) |
Furthermore, since is arbitrary positive constant, putting
into (4), we obtain the required inequality and complete the proof of Lemma 4.2. ∎
With these considerations in mind, we can rewrite the previous lemma in a more convenient way for us.
Lemma 4.3.
Under the same setup as in Lemma 4.2, we get
where has been chosen such that the term on the right-hand side must be positive.
Proof.
We make use of Lemma 4.2. For this, we must notice that
hence
(4.20) |
Since by Eq. (3) and the divergence theorem, we have
Substituting the previous equation in Eq. (4), we get
By setting
and by the previous equality, we have
(4.21) |
Replacing Inequality (4) into Lemma 4.2, we complete the proof of Lemma 4.3. ∎
Now, we are in a position to give the proof of the two theorems of this paper.
5. Proof of Theorems 1.1 and 1.2
5.1. Proof of Theorem 1.1
Proof.
The proof is a consequence of Lemma 4.3. We begin by computing
Since and , we have
and using (3.8) we get
Then,
(5.1) |
Furthermore,
(5.2) |
Substituting (5.1) and (5.1) into Lemma 4.3, we obtain
Moreover, from the proof of Lemma 4.2 and Lemma 4.3, we can see that
where and are the canonical coordinate functions of . Thus, we get
(5.3) |
From (1.2), (3.3) and (3.4) we obtain
Since there exist positive real numbers and such that , from the previous inequality and (3.7), we get
(5.4) |
Therefore, from (5.3) and (5.4) we obtain
which is enough to complete the proof. ∎
5.2. Proof of Theorem 1.2
Proof.
Let be the standard coordinate functions of . Let us consider the matrix where
Using the orthogonalization of Gram and Schmidt, we know that there exists an upper triangle matrix and an orthogonal matrix such that , namely
for . Putting , we have
Let us denote by to consider the vector-valued functions given by
(5.5) |
so that
Then, we can take in (4.2) and to use formula (3.4) to obtain
(5.6) |
Using (3) we get
(5.7) |
Using (3.1) and (3.2), by a computation analogous to (4), we obtain
Substituting the previous equality into (5.2), we get
(5.8) |
Replacing (5.2) into (5.6), we have
(5.9) |
By a straightforward computation, we have, from (3.1), (3.2), (3.3) and (5.5),
(5.10) |
(5.11) |
Therefore, substituting (5.10) and (5.11) into (5.2) we obtain
(5.12) |
From (5.10), for any constant , we infer
hence using (5.12) and the previous inequality we get
(5.13) |
Summing over from to in (5.2), we conclude that
(5.14) |
From the definition of and the fact that is an orthogonal matrix, we know that are also the coordinate functions in . Then, as in the proof of Theorem 1.1, we can also get
where is given by Eq. (1.7). Using (5.2) and , we obtain
(5.15) |
Since is an arbitrary positive constant, we can take
into (5.15) and therefore we get
(5.16) |
We can take in inequality (5.4) and replace in (5.16) to obtain Theorem 1.2. ∎
6. Divergence-free tensors case
This section is a generalization of some results of Section 2. Here, we are assuming the tensor to be divergence-free, i.e., . Divergence-free tensors often arise from physical facts. We can find some of them in fluid dynamics, for instance, in the study of: compressible gas; rarefied gas; steady/self-similar flows and relativistic gas dynamics, see e.g. Serre [17]. We highlight that Serre’s work deals with divergence-free positive definite symmetric tensors and fluid dynamics.
For divergence-free tensors, the operator can be decomposed as follows
(6.1) |
where is the operator introduced by Cheng and Yau [6], namely:
Cheng-Yau operator arise from the study of complete hypersurfaces of constant scalar curvature in space forms. For more details, the reader can be consult Gomes and Miranda [9].
Eq. (6.1) is a first-order perturbation of the Cheng-Yau operator, and it defines a drifted Cheng-Yau operator which we denote by with a drifting function .
We now turn our attention to the main problem of this paper. Since is divergence-free, the coupled system of second-order elliptic differential equations (1.2) becomes
(6.2) |
where is a vector-valued function from to , the constant is non-negative and . Moreover, we have , because is divergence-free. Thus, the constant in (1.7) becomes
Hence, from Theorems 1.1 and 1.2 we immediately obtain the next two corollaries.
Corollary 6.1.
Let be a bounded domain, and be a normalized eigenfunction corresponding to -th eigenvalue of Problem 6.2. For any positive integer , we get
Corollary 6.2.
Let be a bounded domain, be the -th eigenvalue of Problem 6.2, for , and be a normalized eigenfunction corresponding to the first eigenvalue. Then, we get
where .
Now, from Corollary 6.1 and following the same steps of the proof of Corollary 2.3, we obtain the estimates.
Corollary 6.3.
Again from Corollary 6.1 and by applying the recursion formula of Cheng and Yang [4], we obtain the next corollary.
Corollary 6.4.
Under the same setup as in Corollary 6.3, we have
Acknowledgements
The authors would like to express their sincere thanks to Chang Yu Xia and Dragomir Mitkov Tsonev for useful comments, discussions and constant encouragement. The first author has been partially supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) in conjunction with Fundação Rondônia de Amparo ao Desenvolvimento das Ações Científicas e Tecnológicas e à Pesquisa do Estado de Rondônia (FAPERO). The second author has been partially supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), of the Ministry of Science, Technology and Innovation of Brazil.
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