On the Maxwell and Friedrichs/Poincare Constants in ND
Dirk Pauly

TL;DR
This paper establishes bounds for Maxwell constants in convex domains across any dimension, linking them to Friedrichs' and Poincare's constants, and relates Maxwell eigenvalues to Laplace eigenvalues.
Contribution
It proves that Maxwell constants are bounded by Friedrichs' and Poincare's constants in convex domains of arbitrary dimensions, providing new bounds for Maxwell eigenvalues.
Findings
Maxwell constants are bounded by Friedrichs' and Poincare's constants.
Second Maxwell eigenvalues are bounded below by the square root of the second Neumann-Laplace eigenvalue.
Results hold for bounded convex domains in any dimension.
Abstract
We prove that for bounded and convex domains in arbitrary dimensions, the Maxwell constants are bounded from below and above by Friedrichs' and Poincare's constants, respectively. Especially, the second positive Maxwell eigenvalues in ND are bounded from below by the square root of the second Neumann-Laplace eigenvalue.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations · Numerical methods in inverse problems
On the Maxwell and Friedrichs/Poincaré Constants in ND
Dirk Pauly
Fakultät für Mathematik, Universität Duisburg-Essen, Campus Essen, Germany
Abstract.
We prove that for bounded and convex domains in arbitrary dimensions, the Maxwell constants are bounded from below and above by Friedrichs’ and Poincaré’s constants, respectively. Especially, the second positive Maxwell eigenvalues in ND are bounded from below by the square root of the second Neumann-Laplace eigenvalue.
Key words and phrases:
Maxwell’s equations, Maxwell constant, second Maxwell eigenvalue, electro statics, magneto statics, Poincaré inequality, Friedrichs inequality, Poincaré constant, Friedrichs constant
1991 Mathematics Subject Classification:
35A23, 35Q61, 35E10, 35F15, 35R45, 46E40, 53A45
Contents
1. Introduction
1.1. Maxwell’s Equations
Maxwell’s equations are fundamental in physics and play an important role for mathematical physics itself. In a domain (open and connected set) with boundary these famous equations read for the pair of the electric and magnetic field
[TABLE]
where we have already eliminated the fields and by the constitutive laws and , respectively. Moreover, physically meaningful is as current density and as well as as charge density and . Furthermore, initial conditions have to be imposed on and in . Note that in the non-stationary case the two divergence equations are redundant by the two -equations and the complex property . Moreover, the second normal boundary condition for is already given by the first tangential boundary condition for and the first -equation as implies at . In the time-harmonic setting (all fields depend on a fixed frequency in a sinusodial way) we have
[TABLE]
where the divergence equations and the second boundary condition are still redundant. Finally, the electro-magnto static equations are given by
[TABLE]
and we emphasize that here the divergence equations and the boundary condition for are no longer redundant as the systems completely decouples into two separate systems, the electro static equations for the electric field and the magneto static equations for magnetic field .
Proper solution theories in the sense of Hadamard, i.e., unique and continuous solvability, are well known, see e.g. [12]. In the static and time-harmonic situations the essential tool is the so-called Maxwell estimate (setting and )
[TABLE]
see (1.2) and (1.7), being valid for all with and as well as either or such that is perpendicular to the possible kernels or , respectively, the so-called Dirichlet or Neumann fields. Of course, all terms have to be understood in a weak way which we define below in a suitable Sobolev setting. Obviously, the best constant resp. is the norm of the respective bounded inverse, mapping the right hand sides to the solution (resp. ).
A more general situation can be considered if we assume to be a Riemannan manifold of dimension . In particular may be an open subset of or some -dimensional surface in . Then Maxwell’s equations can be expressed independently of special coordinates by the calculus of differential forms using the exterior derivative and co-derivative as well as the Hodge star operator . Focusing on the static equations we have for a -from and a -form
[TABLE]
where is the canonical embedding of the boundary manifold into and its pull-back. For , and the vector proxy we get back the classical electro static formulation of vector analysis from above. For , and the vector proxy (setting ) we get back the classical magneto static formulation. Here, the crucial tool for a proper solution theory is the so-called generalized Maxwell estimate
[TABLE]
see (1.15), being valid for all with and such that the related boundary and kernel conditions hold in a suitable weak Sobolev sense.
1.2. The Maxwell Constants
Let be a bounded weak Lipschitz domain, see [3, Defintion 2.3] for an exact definition. We denote the standard Lebesgue and Sobolev spaces by , , which might be scalar-, vector-, or tensor-valued, and by , the respective Sobolebv spaces for the rotation and the divergence . Moreover, we introduce homogeneous scalar, tangential, and normal boundary conditions in the spaces , , , respectively, which are defined as closures of -functions, vector, or tensor fields under the corresponding graph norms. Moreover, let be a symmetric, -bounded, and uniformly positive definite matrix field.
It is well known that the tangential version of Weck’s selection theorem, stating that the embedding
[TABLE]
is compact, see [30, 23, 29, 31, 25, 3], is the crucial tool of any analysis for static or time-harmonic Maxwell equations. Especially, (1.1) implies by a standard indirect argument the following important Maxwell estimate for tangential boundary conditions: There exists a constant such that for all
[TABLE]
holds, where the kernel space of (harmonic) Dirichlet fields is denoted by
[TABLE]
Note that is finite dimensional by (1.1) as its unit ball is compact. We also introduce the weighted --scalar product and the corresponding induced weighted --norm . If we equip with this weighted scalar product we write . Moreover, denotes orthogonality with respect to the --scalar product. If equals the identity , it will be skipped in our notations, e.g., we write and .
The fact that a compact embedding implies by an indirect argument a corresponding Friedrichs/Poincaré type estimate, is a well known and powerful concept. Prominent examples are the Friedrichs and Poincaré estimates itself, i.e.,
[TABLE]
which follow immediately using Rellich’s selection theorem, i.e., the compactness of
[TABLE]
For the best possible constants it holds
[TABLE]
where
[TABLE]
is the first Dirichlet resp. second Neumann eigenvalue of the negative Laplacian, see, e.g., [4] and the literature cited there. Analogously to (1.1) and (1.2), the normal version of Weck’s selection theorem, i.e., the compactness of the embedding
[TABLE]
shows the corresponding Maxwell estimate for normal boundary conditions: There exists a constant such that for all
[TABLE]
where we define the finite dimensional kernel space of (harmonic) Neumann fields by
[TABLE]
Similarly to the Friedrichs and Poincare constants we always assume the best constants, i.e.,
[TABLE]
where the first minimum is taken over and the second over .
In [18, 19, 20] we have shown that for convex and, provided that always the best possible constants are chosen, the estimates
[TABLE]
hold, where
[TABLE]
and the lower and upper bounds for are defined by
[TABLE]
which exist by our assumptions. Note that convex domains are even strong Lipschitz, see, e.g., [7, Corollary 1.2.2.3] and topologically trivial, i.e., they satisfy as resp. is given by the first resp. second Betti number of .
The aim of the paper at hand is to generalize and improve the estimates (1.8) for the Maxwell constants to convex domains . In it is useful to work within the setting of alternating differential forms of general order . More precisely, let be a bounded weak Lipschitz domain, whose definition is easily modified from the 3D case, see again [3, Defintion 2.3]. We denote the standard Lebesgue and Sobolev spaces by , and
[TABLE]
where is the exterior derivative, the co-derivative, and the Hodge-star-operator. Moreover, we introduce so-called homogeneous tangential and normal boundary conditions in the spaces
[TABLE]
respectively, which are defined as before as closures of -forms under the corresponding graph norms. A vanishing derivative will always be indicated by an index zero at the lower right corner, e.g.,
[TABLE]
It holds
[TABLE]
Inner products and hence norms are defined by
[TABLE]
We emphasize that for -forms given in Cartesian coordinates (identity map/chart), i.e.,
[TABLE]
with ordered multi-indices , we have if and only if for all . The inner product for is given by
[TABLE]
where we introduce the vector proxy notation
[TABLE]
The spaces with the inner products are defined in the same way as for vector or tensor fields, where is a symmetric, bounded, and uniformly positive definite transformation on -forms. Such transformations will be called admissible. All other definitions and notations concerning carry over to -forms as well, e.g., we have (1.10) and (1.9). More precisely, by the assumptions on we have
[TABLE]
and we note as well as . Thus, for all
[TABLE]
As in the vector-valued case we can also define the Sobolev spaces resp. component-wise by defining resp. if and only if resp. for all . In these cases we have for
[TABLE]
and we utilize the vector proxy notation also for the gradient, i.e.,
[TABLE]
Hence, for
[TABLE]
Note that
[TABLE]
and
[TABLE]
Like before, Weck’s selection theorem (tangential version), stating that the embedding
[TABLE]
is compact, holds, see [30] for bounded strong Lipschitz domains (strong cone property) and [23] for bounded weak Lipschitz domains. The compact embeddings (1.1), (1.6) hold even for bounded weak Lipschitz domains and mixed boundary conditions, see, e.g., the recent results [3, Theorem 4.7, Theorem 4.8]. The first proof of Weck’s selection theorem (1.14) for strong Lipschitz domains (strong/uniform cone property), even for differential forms on Riemannian manifolds (and hence especially for ), has been given by Weck in [30]. The first proof for weak Lipschitz domains/manifolds is due to Picard and given in [23]. More related results and generalizations can be found in [12, 21, 22, 24, 25, 29, 31, 9, 6, 8]. Note that the boundedness of the underlying domain is crucial, since one has to work in polynomially weighted Sobolev spaces in unbounded (like exterior) domains, see, e.g., [10, 11, 12, 14, 15, 17, 16, 21, 25].
As we obtain the corresponding normal version
[TABLE]
by applying the -operator, see (1.11), we may concentrate on the tangential version (1.14). Especially, (1.14) implies (again by an indirect argument) the following Maxwell type estimate: There exists such that for all
[TABLE]
holds. Here, we introduce the finite dimensional (again the unit ball is compact) kernel space of (harmonic) Dirichlet forms by
[TABLE]
Throughout this paper, as already mentioned, we assume that always the best possible constants are chosen, e.g., are defined by
[TABLE]
where the minimum is taken over .
The main result of this paper is Theorem 3.6, i.e., for convex and for all it holds
[TABLE]
Corollary 3.7 shows that in the case of the other (normal) boundary condition, where the boundary condition is placed on and the corresponding constant is denoted by , the same result holds for as well. Especially for we have for all
[TABLE]
Here and generally throughout this contribution, we skip the index in our notations if the case is considered. We emphasize that (1.17) not only generalizes (1.8) to -dimensions, but even improves (1.8) in -dimensions to
[TABLE]
In Remark 3.12 we will present a corresponding result for a certain class of non-convex domains, so-called one-chart or one-map domains, which are bi-Lipschitz transformations of convex domains. By a standard partition of unity argument we obtain results for general weak Lipschitz domains as well.
To prove our main result (1.17) we will only use
- •
the well-known Friedrichs/Gaffney regularity and estimate for bounded and convex -smooth domains , i.e., and are subspaces of and
[TABLE]
- •
Weck’s selection theorem (1.14), which includes Rellich’s selection theorems as special cases or ,
- •
and some fundamental results from functional analysis.
For the regularity part of (1.20) see also [10].
Using vector proxies for the respective differential forms we get back the classical case of vector fields in or for the special choice or . Note that without using differential forms and vector proxies of a smooth vector field in may be defined point-wise as a vector in , which is isomorphic to the skew-symmetric part of the Jacobian of , i.e.,
[TABLE]
Finally, (1.17) and (1.18) hold for (1.2) and (1.7) in as well.
2. Preliminaries
Throughout this paper let , , be a bounded weak Lipschitz domain. Hence Weck’s selection theorem (1.14) and the Maxwell type estimate (1.15) hold true.
2.1. Functional Analysis Toolbox
Let denote a closed and densely defined linear operator on two Hilbert spaces and with Hilbert space adjoint . Typically, and are unbounded. The adjoint is characterized by
[TABLE]
Note , i.e., is a dual pair. This shows the trivial but helpful result
[TABLE]
By the projection theorem the Helmholtz type decompositions
[TABLE]
hold, where we introduce the notation for the kernel (or null space) and for the range of a linear operator and denotes orthogonality in a Hilbert space . We define the reduced operators
[TABLE]
which are also closed and densely defined linear operators. We note that and are indeed adjoint to each other, i.e., is a dual pair as well. Now the inverse operators
[TABLE]
exist and they are bijective, since and are injective by definition. Furthermore, by (2.3) we have the refined Helmholtz type decompositions
[TABLE]
Using the closed range theorem and the closed graph theorem we get the following result.
Lemma 2.1**.**
The following assertions are equivalent:
- (i)
* *
- (i∗)**
* *
- (ii)
* is closed in .*
- (ii∗)**
* is closed in .*
- (iii)
* is continuous and bijective with norm bounded by .*
- (iii∗)**
* is continuous and bijective with norm bounded by .*
If one of these assertions holds true, e.g., (ii), is closed, then
[TABLE]
hold.
Throughout this paper we will assume that always the “best” Friedrichs/Poincaré type constants are chosen, i.e., are given by the usual Rayleigh quotients
[TABLE]
Lemma 2.2**.**
The Friedrichs/Poincaré type constants coincide, i.e., .
Lemma 2.3**.**
The following assertions are equivalent:
- (i)
* is compact.*
- (i∗)**
* is compact.*
- (ii)
* is compact with norm .*
- (ii∗)**
* is compact with norm .*
If one of these assertions holds true, e.g., (i), is compact, then (by a standard indirect argument showing Lemma 2.1 (i)) the assertions of the latter two lemmas hold. Especially, the Friedrichs/Poincaré type estimates hold, all ranges are closed and the inverse operators are compact.
Now, let and be (possibly unbounded) closed and densely defined linear operators on three Hilbert spaces , , and with adjoints and as well as reduced operators , , and , . Furthermore, we assume the sequence or complex property of and , that is, , i.e.,
[TABLE]
Then also , i.e., , as for all , with ,
[TABLE]
The Helmholtz type decompositions (2.3) for and read, e.g.,
[TABLE]
where we define the cohomology group
[TABLE]
Putting things together, the general refined Helmholtz type decomposition
[TABLE]
holds. The previous results of this section imply immediately the following.
Lemma 2.4**.**
Let , be as introduced before with , i.e., (2.6). Moreover, let and be closed. Then, the assertions of Lemma 2.1 and Lemma 2.2 hold for and . Moreover, the refined Helmholtz type decompositions
[TABLE]
hold. Especially,
[TABLE]
are closed, the respective inverse operators, i.e.,
[TABLE]
are continuous, and there exist positive constants , , such that the Friedrichs/Poincaré type estimates
[TABLE]
hold.
Remark 2.5**.**
If, e.g., and are compact, then and are closed and hence the assertions of Lemma 2.4 hold. Moreover, the respective inverse operators, i.e.,
[TABLE]
are compact.
By the complex property we observe . Utilizing the Helmholtz type decomposition (2.8) we immediately see the following.
Lemma 2.6**.**
The embeddings , , and are compact, if and only if the embedding is compact. In this case, has finite dimension.
Remark 2.7**.**
Let us consider the sequence or complex
[TABLE]
- (i)
The general assumptions on and are equivalent to the assumption that (2.9) is a Hilbert complex, meaning that the operators are closed and satisfy the complex property (2.6).
- (ii)
The assumption that the ranges and are closed is equivalent to the assumption that (2.9) is a closed Hilbert complex.
- (iii)
The assumption that the embeddings and are compact is equivalent to the assumption that (2.9) is a compact Hilbert complex, which is always closed.
- (iv)
The assumption that the embedding is compact is equivalent to the assumption that (2.9) is a Fredholm complex, meaning that the complex is compact and the cohomology group is finite dimensional.
The strongest property (iv) is the most desirable one, and we can realize this is our applications. By the previous results, any property of the primal complex (2.9) is transferred to the corresponding property of the dual complex
[TABLE]
and vise verse.
We can summarize.
Theorem 2.8**.**
Let , be as introduced, i.e., having the complex property . Moreover, let be compact. Then the assertions of Lemma 2.4 hold, is finite dimensional and the corresponding inverse operators are continuous resp. compact. Especially, all ranges are closed and the corresponding Friedrichs/Poincaré type estimates hold.
Theorem 2.9**.**
Let , be as introduced, i.e., having the complex property , and let be compact. Then
[TABLE]
Especially,
[TABLE]
Proof.
Let . By the Helmholtz type decomposition of Lemma 2.4 we have
[TABLE]
and hence we can decompose
[TABLE]
By orthogonality and the Friedrichs/Poincaré type estimates we get
[TABLE]
completing the proof. ∎
Remark 2.10**.**
In Theorem 2.9 is the best constant (or sharp), where
[TABLE]
It is clear that holds by Theorem 2.9. On the other hand, looking at the subspaces (ranges) of the Helmholtz type decompositions one obtains immediately , if , e.g., .
2.2. Applications to Differential Forms
We will apply Theorem 2.9 in our differential form setting. As closure of the exterior derivative defined on as an unbounded operator on we get that
[TABLE]
is a closed and densely defined linear operator with closed adjoint
[TABLE]
These operators satisfy the natural complex property , i.e., , and thus also , i.e., . Analogously or using the -operator we can define closed operators for the other boundary condition, i.e.,
[TABLE]
which also satisfy the complex properties, i.e., and . Note that
[TABLE]
By (2.1) we get trivially the rules of partial integration, i.e.,
[TABLE]
(2.2) provides a useful characterization of homogeneous boundary conditions, i.e.,
[TABLE]
and analogously or by the -operator we also get
[TABLE]
In the following we will skip the index on the operators and write just , and , . To incorporate the material law we need to modify these operators slightly. For this, let us fix some and let be an admissible transformation on -forms. Defining the closed and densely defined linear operators
[TABLE]
Again these operators satisfy the complex property , i.e., , and thus also , i.e., . As before, analogously or using the -operator we can also define the closed operators
[TABLE]
which satisfy the complex properties as well.
We will focus on the operators , , , . At this point let us note that all results of the Functional Analysis Toolbox Section 2.1 are applicable since by Weck’s selection theorem (1.14) the embedding
[TABLE]
is compact, see, e.g., Theorem 2.8. Especially, all ranges are closed, the inverse operators are continuous resp. compact, the corresponding Friedrichs/Poincaré type estimates and Helmholtz type decompositions hold, and the cohomology group
[TABLE]
has finite dimension. The corresponding reduced operators are
[TABLE]
where and have to be understood as closed subspaces of . In this case, Lemma 2.4 and Theorem 2.8 read as follows.
Corollary 2.11**.**
The refined Helmholtz type decompositions
[TABLE]
hold, all ranges
[TABLE]
are closed, the space of Dirichlet forms is finite dimensional, the respective inverse operators, i.e.,
[TABLE]
are continuous, and there exist positive constants and , such that the Friedrichs/Poincaré type estimates
[TABLE]
hold.
Remark 2.12**.**
The corresponding corollary holds for the other boundary conditions on for the operators , , , as well.
For just one constant for a single is needed. More precisely:
Lemma 2.13**.**
Let . Then for all
[TABLE]
and the Friedrichs/Poincaré type estimates
[TABLE]
hold. Applying the -operator we have
[TABLE]
All these four Friedrichs/Poincaré type estimates hold with the same best constants .
With these settings our estimate of interest (1.15), i.e.,
[TABLE]
for all , reads
[TABLE]
and by Theorem 2.9 and Remark 2.10 we know
[TABLE]
using the notations from Corollary 2.11. More precisely, Theorem 2.9 shows:
Corollary 2.14**.**
For all
[TABLE]
and hence
[TABLE]
3. Main Results
By Corollary 2.14 we have to find upper and lower bounds for the constants and . As a first step, we take care of the dependencies on the transformation .
Lemma 3.1**.**
It holds
[TABLE]
Moreover,
[TABLE]
Proof.
Let . By Lemma 2.13 and (1.12), (1.13) we see
[TABLE]
and hence . On the other hand, by Corollary 2.11 and (1.12), (1.13)
[TABLE]
holds, and hence by Lemma 2.13 . Now, pick . According to Corollary 2.11 (with ) it holds
[TABLE]
and we can decompose
[TABLE]
with . By orthogonality as well as Lemma 2.13 and (1.12), (1.13) we have
[TABLE]
and thus . On the other hand, let . According to Corollary 2.11 it holds
[TABLE]
and we can decompose
[TABLE]
with . By orthogonality as well as Corollary 2.11 and (1.12), (1.13) we have
[TABLE]
and thus . ∎
It remains to estimate for all the constants . For this we need the following result about regularity and Gaffney’s inequality in convex domains.
Lemma 3.2**.**
Assume additionally to be convex. Let or . Then and
[TABLE]
We will give a simple proof in Appendix A, only based on the well known corresponding result for smooth and convex domains, see (1.20). A proof of Lemma 3.2 can also be found in the nice paper of Mitrea [13, Theorem 5.5], see also [13, Corollary 5.6]. For , partial and weaker results have been established earlier in [26, 1.4 Satz, 5.5 Satz], [28, Theorem 3.1], [5, Corollary 3.6, Theorem 3.9], [1, Theorem 2.17]. Note that for all Gaffney’s equation
[TABLE]
holds, and that for convex domains all cohomology groups are trivial, i.e., .
Now we can prove the key result for upper bounds.
Lemma 3.3**.**
Assume additionally to be convex. Then .
Proof.
By Lemma 2.13 we may pick . Hence with some . Lemma 3.2 shows and for all and all it holds
[TABLE]
Thus for all and we can apply the Poincaré estimate and Lemma 3.2 to obtain
[TABLE]
Hence . ∎
A proof of Lemma 3.3 can also be found in [13, Corollary 5.10], where the estimates are equivalently formulated in terms of estimates for eigenvalues. For , the tangential boundary condition in , and smooth convex domains the result has also been established in [2, Theorem 3.1]. In both papers, especially in [2], the proof is more lengthy and complicated than our short proof.
For lower bounds we have the following.
Lemma 3.4**.**
Assume additionally to be topologically trivial. Then .
Proof.
As is topologically trivial, all cohomology groups vanish. Therefore, for all and some and with we compute by (1.15) and (3.1)
[TABLE]
Thus . ∎
Lemma 3.5**.**
Assume additionally to be topologically trivial. Then .
Proof.
It holds and . If , then by Lemma 3.1 and Lemma 3.4
[TABLE]
If , then by Lemma 3.1 and Lemma 3.4
[TABLE]
completing the proof. ∎
Combining Corollary 2.14, Lemma 3.1, Lemma 3.3, Lemma 3.4, and Lemma 3.5 we can formulate our main result.
Theorem 3.6**.**
Assume additionally to be convex. Then for all
[TABLE]
Moreover,
[TABLE]
as well as
[TABLE]
Especially, for it holds for all
[TABLE]
The corresponding theorem holds for the other boundary condition as well.
Corollary 3.7**.**
Assume additionally to be convex. Then for all
[TABLE]
where . Moreover,
[TABLE]
as well as
[TABLE]
Especially, (3.2) holds for and for all .
In the introduction we have denoted by .
Proof.
Let . Then and with we have
[TABLE]
As is admissible, so is and hence also its inverse . Theorem 3.7 applied to , , instead of , , shows
[TABLE]
Moreover, has the same properties (1.12), (1.13) as and hence, as inverse, inherits these properties with and interchanged. Note that, e.g.,
[TABLE]
holds by (1.13). Hence the estimates for the constants follow immediately. Plugging in
[TABLE]
we obtain
[TABLE]
completing the proof. ∎
The same transformation technique or just repeating the previous arguments shows that Corollary 2.11, especially the Friedrichs/Poincaré type estimates, Corollary 2.14 and Lemma 3.1 hold for the other boundary condition placed on as well. More precisely, with as before and defining the (harmonic) Neumann forms by
[TABLE]
we have the following results.
Corollary 3.8**.**
For all
[TABLE]
with . Especially,
[TABLE]
Corollary 3.9**.**
It holds
[TABLE]
and
[TABLE]
3.1. Some Remarks
Remark 3.10**.**
Our results extend also to all possibly non-convex polyhedra which allow the -regularity in Lemma 3.2 of the Maxwell spaces and or to domains whose boundaries consist of combinations of convex boundary parts and polygonal parts which allow the -regularity. Such domains exist, depending on the special type of the singularities, which are not allowed to by too pointy, see, e.g., [26, 27]. It is well known that (3.1) even holds for or if is a polyhedron, since the unit normal is piecewise constant and hence the curvature is zero.
Remark 3.11**.**
Let be additionally convex and let us recall and (3.2), especially
[TABLE]
- (i)
In generell, we conjecture for .
- (ii)
As a byproduct, by
[TABLE]
we have shown a new proof of the well known fact, that the first Dirichlet eigenvalue of the negative Laplacian is not smaller than the second Neumann eigenvalue of the negative Laplacian .
Remark 3.12**.**
Our results extend to a certain class of non-convex domains, so-called one-chart domains, as well. For this, as before, let be a bounded weak Lipschitz domain and let be a bounded and convex domain, e.g., the unit cube or unit ball. For example, could be an L-shaped domain or a Fichèra corner. Moreover, we assume that there exists an orientation preserving bi-Lipschitz transformation with inverse .
Then for we have
[TABLE]
with
[TABLE]
see Appendix C for a proof of (3.3) in the bi-Lipschitz case. By the transformation formula, straight forward estimates, which we will carry out in Appendix B as well, and Theorem 3.6 we get
[TABLE]
where
[TABLE]
and is the Poincaré constant for the convex domain , depends just on , and just on bounds for and , see (B.4) in Appendix B for more details. These constants can be refined, if one takes a closer look at the actual dependence on and special algebraic operations on and . In Appendix B.1 we will present sharper estimates for the special case and of vector proxy fields .
Using a partition of unity, we can even extend our results to general bounded weak Lipschitz domains .
Acknowledgements We cordially thank the anonymous referee for a very careful reading and valuable suggestions for improving the paper.
Appendix A Proof of Lemma 3.2
By the -operator it is sufficient to discuss, e.g., . For a proof we follow the nice book of Grisvard, see [7, Theorem 3.2.1.2, Theorem 3.2.1.3]. This proof has been carried out in [5, Corollary 3.6, Theorem 3.9] and [1, Theorem 2.17] for the Maxwell case and . Our proof will avoid the misleading notion of traces and solutions of second order elliptic systems. Let us note that in [1, p. 834] the proof for is wrong. One cannot work in the space due to the solenoidal condition. Working in the space is needed, but this destroys their argument for the second order elliptic system for . Our approach corrects these unconsistencies.
Let us pick a sequence of increasing, convex, and -smooth subdomains converging to , i.e.,
[TABLE]
see, e.g., [7, Lemma 3.2.1.1]. Of course, -smooth is also sufficient. For we find such that for all
[TABLE]
which is a trivially well defined problem. Note . Hence
[TABLE]
for all , showing by (2.11) that and . Moreover, with . By (1.20) we have with
[TABLE]
By setting in (A.1) we see
[TABLE]
and thus
[TABLE]
Combining (A.2) and the equation part of (A.3) we observe
[TABLE]
and therefore
[TABLE]
Let us denote the extension by zero to by . Then by (A.4) and (A.5) the sequences , , and , are bounded in , , resp. and we can extract weakly converging subsequences, again denoted by the index , such that
[TABLE]
Let and be large enough such that . Then and we calculate for and the -th component of
[TABLE]
yielding and . Analogously we obtain for with for large enough
[TABLE]
showing and . Moreover, for we have by (A.1)
[TABLE]
as , where the last convergence follows by Lebesgue’s dominated convergence theorem. For we get , i.e., . Furthermore, we observe by (A.5)
[TABLE]
showing
[TABLE]
Finally, we have in , i.e., in
[TABLE]
On the other hand, by Lebesgue’s dominated convergence theorem we see in . Thus and by (A.6)
[TABLE]
especially,
[TABLE]
Appendix B Calculations for Remark 3.12
For a multi index of length (not necessarily ordered) it holds
[TABLE]
and especially
[TABLE]
For multi indices of length we have
[TABLE]
Hence for
[TABLE]
we compute
[TABLE]
and thus
[TABLE]
Therefore, we get
[TABLE]
where the second estimate is quite rough. Combing both we see
[TABLE]
and with
[TABLE]
Now we calculate by Theorem 3.6
[TABLE]
i.e.,
[TABLE]
with very rough constants
[TABLE]
So, it remains to estimate . For this we estimate for
[TABLE]
and observe
[TABLE]
Finally, this shows
[TABLE]
B.1. Classical Vector Analysis
Some of the latter estimates are very rough. Let us take a closer look at the classical case of vector analysis, i.e., at the special case of and . By (3.3), see also Appendix C for more details and a rigorous proof, we know that in resp. implies in resp. with . For and this means for the vector proxy field that
[TABLE]
with
[TABLE]
where denotes the adjunct matrix of . If is invertible it holds . For we have for the vector proxy field that
[TABLE]
with
[TABLE]
Thus for we have
[TABLE]
with (B.5) and
[TABLE]
Now we can compute (B.3) more carefully by
[TABLE]
where
[TABLE]
Therefore, we have
[TABLE]
and it remains to estimate . For this we compute for
[TABLE]
and estimate
[TABLE]
where
[TABLE]
Finally, we obtain
[TABLE]
and hence
[TABLE]
Especially for with we have
[TABLE]
and
[TABLE]
i.e., , which shows
[TABLE]
On the other hand, (B.7) gives with , , the less sharp estimate
[TABLE]
Appendix C Proof of (3.3) in the Bi-Lipschitz Case.
C.1. Without Boundary Conditions
For this, let . We have to prove with . Let us first assume , i.e., for all . By Appendix B we have
[TABLE]
By Rademacher’s theorem we know that and belong to and that the chain rule holds, i.e., . As we get by
[TABLE]
for all . Thus by definition we see
[TABLE]
On the other hand it holds
[TABLE]
Therefore, with . For general we pick . The first part of the proof (for and ) shows with . As is a compact subset of , standard mollification yields a sequence with in . Then
[TABLE]
and hence with . Finally, for we have and . Therefore, and by the latter considerations. Hence
[TABLE]
and . By (B.1) we see
[TABLE]
and
[TABLE]
C.2. With Boundary Conditions
Let and with in . By Appendix C.1 we know with as well as . Since holds, has compact support in . By standard mollification we see . Moreover, in as in and
[TABLE]
in by (B.1). Therefore with .
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