Semi-discrete finite element approximation applied to Maxwell's equations in nonlinear media
Lutz Angermann

TL;DR
This paper investigates a semi-discrete finite element method for Maxwell's equations in nonlinear Kerr media, providing error estimates for Nédélec element approximations.
Contribution
It introduces a priori error estimates for finite element approximations of Maxwell's equations in nonlinear media using Nédélec elements.
Findings
A priori error estimates are established for the finite element approximation.
The method is applicable to Maxwell's equations in Kerr-type nonlinear media.
The analysis confirms the effectiveness of Nédélec elements in this context.
Abstract
In this paper the semi-discrete finite element approximation of initial boundary value problems for Maxwell's equations in nonliear media of Kerr-type is investigated. For the case of N\'ed\'elec elements from the first family, a priori error estimates are established for the approximation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Electromagnetic Simulation and Numerical Methods · Numerical methods in engineering
Semi-discrete finite element approximation applied to Maxwell’s equations
in nonlinear media
Lutz Angermann111Institut für Mathematik, Technische Universität Clausthal, Erzstraße 1, D-38678 Clausthal-Zellerfeld, Germany, e-mail: [email protected]
(January 9, 2019)
Abstract
In this paper the semi-discrete finite element approximation of initial boundary value problems for Maxwell’s equations in nonlinear media of Kerr-type is investigated. For the case of Nédélec elements from the first family, a priori error estimates are established for the approximation.
Keywords: Semi-discrete finite element method, nonlinear Maxwell’s equations, error estimate
MSC 2010: 35Q61, 65M60, 65M15
1 Introduction
In this paper we investigate the semi-discrete conforming finite element approximation to the solution of Maxwell’s equations for nonlinear media of Kerr-type. As a concrete example, we consider the (meanwhile classical) Nédélec elements from the so-called first family. To the best knowlege of the author, the nonlinear situation is not yet well investigated, most works dealing with nonlinear effects are computational or experimental (see, e.g., [AY18]). Here we derive energy (stability) estimates for the weakly formulated problem and error estimates for the semi-discretized problem.
Let , where is a simply connected domain with a sufficiently smooth boundary and is the length of the time interval under consideration. Let represent the displacement field, the magnetic induction, the electric and magnetic field intensities, respectively. The time-dependent Maxwell’s equations in a nonlinear medium can be written in the form
[TABLE]
where the following constitutive relations hold:
[TABLE]
Here and are the vacuum permittivity and the permeability, respectively. Often the constitutive relation for the polarization is approximated by a truncated Taylor series [Boy03]. In the case of an isotropic material, it takes the form
[TABLE]
where are the media susceptibility coefficients, . Then from (3) we obtain the representation
[TABLE]
and it follows by a simple calculation that
[TABLE]
where denotes the identy in . Setting
[TABLE]
the system (1)–(3) can be written as
[TABLE]
Next we state a simple result which in particular implies that the matrix is regular for all electric field intensities under consideration.
Lemma 1.1**.**
Let a.e. in . Then the symmetric matrix is uniformly positive definite a.e. for any .
Proof.
For all , it holds that
[TABLE]
∎
As in [PNTB09], we denote the inverse by
[TABLE]
By means of the Sherman-Morrison formula (see, e.g., [GvL96]), the matrix can be given explicitely:
[TABLE]
with
[TABLE]
Therefore, if the formula (6) holds, the system (4)–(5) takes the form
[TABLE]
This is an appropriate formulation for the development of time-discrete numerical algorithms, see, e.g., [PNTB09].
A perfect conducting boundary condition on is assumed so that
[TABLE]
where denotes the outward unit normal on . In addition, initial conditions have to be specified so that
[TABLE]
where and are given functions, and satisfies
[TABLE]
The divergence-free condition in (11) together with (5) implies that
[TABLE]
2 Notation
For a real number , the symbol denotes the usual Lebesgue spaces equipped with the norm . The analogous spaces of vector fields are denoted by with the norm .
In what follows we have to deal with weighted function spaces. Given a weight , where the values of are positive a.e. on we define a weighted inner product and a weighted norm by
[TABLE]
The space consists of vector fields with Lebesgue-measurable components and such that
[TABLE]
In the case the subscript is omitted. An elementary property of weighted spaces, which we will apply at different places without special emphasis, is the monotonicity w.r.t. the weight: If , are two weights such that a.e. on then
[TABLE]
As transient problems are addressed, we will work with functions that depend on time and have values in certain Banach spaces. If is a vector field of the space variable and the time variable , it is suitable to separate these variables in such a way that is considered as a function of with values in a Banach space, say , with the norm . That is, for any , the mapping is interpreted as a parameter-dependent element of . In this sense we will write , and so on.
The space , , consists of all continuous functions that have continuous derivatives up to order on It is equipped with the norm
[TABLE]
For the sake of consistency in the notation we will write .
The space with contains (equivalent classes of) strongly measurable functions such that
[TABLE]
(for the definition of strongly measurable functions we refer to [KJF77]). The norm on is defined by
[TABLE]
These spaces can be equipped with a weight, too. In particular, we will write
[TABLE]
Finally, all the above definitions can be extended to the standard Sobolov spaces of functions with weak spatial derivatives of maximal order in : with norm . If , we write and .
The space is defined as the closure of with respect to the norm , where denotes the space of all arbitrarily often differentiable functions with compact support on . It is well knwon that is a closed subspace of and consists of elements such that on in the sense of traces [AF03]. As in the case of the -spaces, we shall write and so on.
Furthermore, we need the following Hilbert spaces that are related to the (weak) rotation and divergence operators:
[TABLE]
These spaces are equipped with the norms (resp. induced norms)
[TABLE]
We refer to [DL76], [RT77], [GR86] and [Cia02] for details about these spaces.
3 Weak formulations
We assume that a solution
[TABLE]
of the nonlinear Maxwell’s equations (4)–(5) exists and is unique.
We multiply equation (4) by a test function and integrate over . Similarly we multiply (5) by a test function , integrate the result over and integrate by parts the second term. This shows that it is natural to look for a weak solution ({\mathbf{E}},{\mathbf{H}})\in\big{(}{\mathbf{C}}^{1}(0,T;{\mathbf{L}}_{2,\varepsilon({\mathbf{E}})}(\Omega))\cap{\mathbf{C}}(0,T;{\mathbf{L}}_{2}(\Omega))\big{)}\times\big{(}{\mathbf{C}}^{1}(0,T;{\mathbf{L}}_{2}(\Omega))\cap{\mathbf{C}}(0,T;{\mathbf{H}}(\textnormal{curl},\Omega))\big{)} of (4)–(5) such that
[TABLE]
Alternatively, the use of test functions and and the integration by parts in the equation (4) leads to the notion of a weak solution ({\mathbf{E}},{\mathbf{H}})\in\big{(}{\mathbf{C}}^{1}(0,T;{\mathbf{L}}_{2,\varepsilon({\mathbf{E}})}(\Omega))\cap{\mathbf{C}}(0,T;{\mathbf{H}}_{0}(\textnormal{curl},\Omega))\big{)}\times\big{(}{\mathbf{C}}^{1}(0,T;{\mathbf{L}}_{2}(\Omega))\big{)} of (4)–(5) such that
[TABLE]
In both cases, the initial conditions (10) have to be satisfied at least in the sense of
.
Remark 1*.*
As a consequence of the embedding (as sets)
[TABLE]
and of the fact that is dense in we see that is a dense subset of [AF03]. Therefore the test space in (17) can be reduced to . Also note that due to (12).
Remark 2*.*
In the case where is not a constant but a highly variable function it is more convenient to use the magnetic flux density instead of as a dependent variable [MM95]. In such a case, the formulation (16)–(17) is replaced by
[TABLE]
where
[TABLE]
Next we will formulate a stability result for the problem (14)–(15). For this, we extend this problem to the case of a nontrivial right-hand side for a moment.
Theorem 3.1**.**
Let , – the electric and magnetic current densities, respectively – be given and assume that the system
[TABLE]
together with the initial conditions (10) has a weak solution
[TABLE]
If
[TABLE]
denotes the nonlinear electromagnetic energy at the time , the following energy law in differential form holds:
[TABLE]
Proof.
Taking and in (20)–(21) and adding the result gives
[TABLE]
An elementary calculation shows that
[TABLE]
hence
[TABLE]
Then it follows from equation (23) that
[TABLE]
∎
Corollary 3.2**.**
Under the assumptions of Thm. 3.1, for all , the following estimate is valid:
[TABLE]
Proof.
We estimate the right-hand side of (22) by means of the Cauchy-Bunyakovski-Schwarz’ inequality (twice – in the integral version and in the finite sum version):
[TABLE]
Since for (the case is trivial), it follows from (22) that
[TABLE]
Integrating this inequality w.r.t. , we get
[TABLE]
Then
[TABLE]
∎
Remark 3*.*
Analogous results as in Thm. 3.1 and Cor. 3.2 can be obtained for the corresponding “non-homogeneous” version of (16)–(17) and for the subsequent semi-discretizations.
4 Spatial discretization
4.1 Semi-discretization of the weak formulations
Let , , , and be finite-dimensional subspaces.
The semi-discrete (in space) problem for the system (14)–(15) consists in determining elements such that
[TABLE]
For the the equations (16)–(17), the semi-discrete problem involves the determination of elements such that
[TABLE]
The initial conditions for both problems read formally as
[TABLE]
where the concrete requirements to the particular choice of the discrete initial data will be seen later (Thm. 5.1).
4.2 The choice of the finite element spaces
In the rest of the paper we will choose the so-called first family of Nédélec edge elements, usually denoted by and for , for the construction of the concrete finite element spaces (for details see [Néd80] or [Mon03, Ch. 5]). That is, given an arbitrary member of a family of triangulations of consisting of open tetrahedra , we set
[TABLE]
where and is the space of scalar real-valued polynomials in three variables of maximal degree . To deal with the case of the Nédélec formulation (16)–(17), we still have to introduce the space . In the subsequent error analysis, we will make use of some projection operators. For the Lee-Madsen formulation (24)–(25), we need projections , .
Let be the standard -projection operator onto , i.e. for given the image is defined by
[TABLE]
For this operator the following standard error estimate holds: If , then
[TABLE]
Moreover, since (see the beginnings of the proofs of [Mon91, Thm. 3.3] or [Mon03, Lemma 5.40]), it holds that
[TABLE]
Next, for we define by
[TABLE]
where is defined as
[TABLE]
see [Mon91, Subsect. 4.2].
If such that in and on , then there exists a constant such that
[TABLE]
(see [Mon91, Thm. 4.6]).
5 An error estimate for the semi-discrete problem
In this section we formulate and prove the main result.
Theorem 5.1** (Semi-discrete error estimate for the Lee-Madsen formulation).**
Let , , satisfying (11),
[TABLE]
be the weak solution of the system (14)–(15), and
[TABLE]
be the finite element solution of the system (24)–(25) respectively, where the inclusion is to be understood uniformly w.r.t. the mesh parameter in the sense that is bounded by a constant independent of . Then there exists a constant independent of such that the following error estimate holds:
[TABLE]
(the detailed structure of the bound is given at the end of the proof).
Proof.
[TABLE]
By means of the projection operators and defined in (28) and (31)–(32), resp., from this we get
[TABLE]
The last term on the right-hand side of (34) vanishes thanks to the properties of , see [Mon91, eq. (2.4)] and (31).
The second term on the right-hand side of (35) can be omitted because of the commutation property , which results from the continuity properties of the operator . The last term on the right-hand side vanishes thanks to the property (30) of .
Therefore (34)–(35) simplify to
[TABLE]
Now, subtracting (36)–(37) from the system (24)–(25) and taking into consideration that is constant, we obtain:
[TABLE]
Now we will deal with the first term of (38), where we have in mind the choice in what follows:
[TABLE]
The treatment of is quite obvious. With we get
[TABLE]
The term is decomposed as follows:
[TABLE]
For , we use the following decomposition:
[TABLE]
With these decompositions, equation (38) takes the form
[TABLE]
or, after some rearrangement,
[TABLE]
Then:
[TABLE]
Since
[TABLE]
it follows that
[TABLE]
From the estimates
[TABLE]
and, analogously,
[TABLE]
we conclude that
[TABLE]
For the right-hand side, we have:
[TABLE]
where the positive constants , , depend on certain norms of , , , and . Combining the estimates (41) and (42) with (40), we get
[TABLE]
This finally leads to
[TABLE]
where
[TABLE]
Now we consider (39) with and get
[TABLE]
Adding both inequalities and making use of the commutation property of , we arrive at
[TABLE]
The projection errors can be estimated by means of (29) and (33), that is, for and , we have that
[TABLE]
In this way the above estimate can be written as
[TABLE]
Setting
[TABLE]
we get
[TABLE]
Integrating this inequality, we obtain
[TABLE]
By the monotonicity of the weighted norms w.r.t. the weight and the nonnegativity of the integral term on the left-hand side, we see that
[TABLE]
On the other hand, we have the estimates
[TABLE]
and
[TABLE]
Combining (44), (45), (46) with (43), we get
[TABLE]
or, equivalently,
[TABLE]
where .
In the paper [Daf79], a Gronwall-type lemma (Lemma 4.1) is specified which gives a bound on the value provided an inequality like (47) is satisfied:
[TABLE]
From this and the triangle inequality in conjunction with (29) and (33) the statement follows. Indeed, since
[TABLE]
we get
[TABLE]
Then
[TABLE]
which implies the stated estimate. ∎
Remark 4*.*
Note that the constant in this estimate behaves as for large .
6 Conclusion
In this paper we have investigated a semi-discrete conforming finite element approximation to the solution of Maxwell’s equations for nonlinear media of Kerr-type using Nédélec elements from the first family. We have demonstrated energy (stability) estimates for the weakly formulated problem and error estimates for the semi-discretized problem. The results can be extended to other conforming finite element methods provided the corresponding projection operators and ((28), (31)–(32)) admit analogous properties.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[AF 03] R.A. Adams and J.J.F. Fournier. Sobolev spaces , volume 140 of Pure and Applied Mathematics (Amsterdam) . Elsevier/Academic Press, Amsterdam, 2nd edition, 2003.
- 2[AY 18] L. Angermann and V.V. Yatsyk. Resonant Scattering and Generation of Waves. Cubically Polarizable Layers . Springer-Verlag, Cham, 2018.
- 3[Boy 03] R.W. Boyd. Nonlinear Optics . Academic Press, San Diego-London, 2003.
- 4[Cia 02] P.G. Ciarlet. The finite element method for elliptic problems , volume 40 of Classics in Applied Mathematics . Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2002. Reprint of the 1978 original.
- 5[Daf 79] C.M. Dafermos. The second law of thermodynamics and stability. Arch. Rational Mech. Anal. , 70:167–179, 1979.
- 6[DL 76] G. Duvaut and J.L. Lions. Inequalities in mechanics and physics . Springer-Verlag, Berlin, 1976. Translation of the French Original Edition 1972.
- 7[GR 86] V. Girault and P.A. Raviart. Finite Element Methods for Navier-Stokes Equations . Springer-Verlag, Berlin-Heidelberg-New York, 1986.
- 8[Gv L 96] G. Golub and C.F. van Loan. Matrix computations . Johns Hopkins University Press, Baltimore, 1996. 3rd ed.
