Wave number-Explicit Analysis for Galerkin Discretizations of Lossy Helmholtz Problems
Jens M. Melenk, Stefan A. Sauter, C\'eline Torres

TL;DR
This paper develops a stability and convergence theory for Galerkin discretizations of the lossy Helmholtz equation, providing explicit estimates that depend on the complex wave number and smoothly transition between different regimes.
Contribution
It introduces a wave number-explicit analysis framework for the lossy Helmholtz problem with Robin boundary conditions, unifying and extending existing estimates.
Findings
Explicit stability and convergence estimates for all complex wave numbers considered.
Seamless transition of estimates between purely imaginary and real wave numbers.
Unified analysis that covers boundary cases and general complex wave numbers.
Abstract
We present a stability and convergence theory for the lossy Helmholtz equation and its Galerkin discretization. The boundary conditions are of Robin type. All estimates are explicit with respect to the real and imaginary part of the complex wave number , , . For the extreme cases and , the estimates coincide with the existing estimates in the literature and exhibit a seamless transition between these cases in the right complex half plane.
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Wave number-Explicit Analysis for Galerkin Discretizations of Lossy Helmholtz Problems
Jens M. Melenk ([email protected]), Institut für Analysis und Scientific Computing, Technische Universität Wien, Wiedner Hauptstrasse 8-10, A-1040 Wien, Austria.
Stefan A. Sauter ([email protected]), Institut für Mathematik, Universität Zürich, Winterthurerstr 190, CH-8057 Zürich, Switzerland
Céline Torres ([email protected]), Institut für Mathematik, Universität Zürich, Winterthurerstr 190, CH-8057 Zürich, Switzerland
Abstract
We present a stability and convergence theory for the lossy Helmholtz equation and its Galerkin discretization. The boundary conditions are of Robin type. All estimates are explicit with respect to the real and imaginary part of the complex wave number , , . For the extreme cases and , the estimates coincide with the existing estimates in the literature and exhibit a seamless transition between these cases in the right complex half plane.
1 Introduction
For many problems in time-harmonic acoustic scattering, the Helmholtz equation serves as a model problem, and its numerical discretization is a topic of vivid research. For homogeneous, isotropic material the differential operator is given by
[TABLE]
where with and denotes the wave number. The solution is highly oscillatory if , which makes the discretization challenging with respect to both, stability and accuracy. To study this problem systematically the case of purely imaginary wave numbers , , has often been used in the literature as a model problem for designing and analyzing numerical methods. However, in many applications waves are damped, e.g., by friction and viscoelastic effects in the material or loss via sound radiation or flow of vibration energy out of the physical scatterer (see, e.g., [18]).
Another important application is the approximation of the inverse Laplace transform by contour quadrature where the Helmholtz operator has to be discretized at many complex frequencies in the right complex half plane (see, e.g., [5]).
For the two extreme cases and , , , a fairly complete theory for standard Galerkin -finite elements is available and the error estimates are explicit with respect to the wave number , the mesh width of the finite element mesh, and the polynomial degree : a) For and large the problem is highly indefinite and a “resolution condition” of the form
[TABLE]
has to be imposed in order to ensure solvability of the Galerkin equations and quasi-optimality ([9, 10, 8, 2]); b) for and , the problem is properly elliptic and Céa’s lemma ensures well-posedness and quasi-optimality without any resolution condition; c) for , the solution exhibits boundary layers. Although the Galerkin discretization is always well-posed in this last situation, special meshes should be used that are adapted to the boundary layers (see, e.g., [11, 16, 7] and references there). In this paper, we will develop a unified theory for Galerkin discretizations of with Robin boundary conditions that is applicable for all , , and . All estimates are explicit in terms of and and reproduce the limiting cases of purely real and imaginary . It is shown that, for the sectorial case, i.e., the wave number lies in a sectorial neighborhood of the real axis in the right complex half plane, well-posedness and quasi-optimality is a consequence of coercivity while for the estimates tend continuously to the purely imaginary case . We follow the general theory developed in [9, 10] and refine the estimates to be explicit with respect to the real and imaginary part of the wave number.
The paper is structured as follows. In Sect. 2 we introduce the Helmholtz model problem with Robin boundary conditions and formulate some geometric and algebraic assumptions on the data. Further, we define for the wave number the (well-behaved) sectorial and the (more critical) non-sectorial region.
The estimate of the continuity constant for the sesquilinear form is derived in Sect. 3. Sect. 4 is devoted to the analysis of the inf-sup constant for the continuous sesquilinear form. If the real part of the wave number is positive the estimate follows simply from the coercivity of the sesquilinear form. However, this bound degenerates as . This can be remedied by a different proof: first one uses suitable test functions to derive stability estimates for an adjoint problem with right-hand sides and then by employing this result for the estimate of the inf-sup constant in a vicinity of the imaginary axis.
The key role for the analysis of the Galerkin discretization is played by a regular decomposition of the Helmholtz solution. In Sect. 5, we introduce a splitting of the Helmholtz solution into a part with (low) -regularity and wave number-independent regularity constant and an analytic part with a more critical wave number dependence. First, this is derived for the full space solution by generalizing the results for purely imaginary frequencies in [9]. In the case of bounded domains, we generalize the iteration argument in [10, Sect. 4] to general complex frequencies. In addition, this requires sharp estimates of frequency-depending lifting operators which we also present in this section.
Sect. 6 is devoted to the estimate of the discrete inf-sup constant for the standard Galerkin discretization of the Helmholtz equation. We will derive two type of estimates: one requires that the finite dimensional space for the Galerkin discretization satisfies a certain resolution condition and allows for robust (as stability and quasi-optimal convergence estimates; the other one avoids a resolution condition while the constants in the estimates tend towards as but stay robust for the sectorial case. Numerical examples in Sect. 7 illustrate the application of our analysis in the context of -FEM.
2 Setting
We consider the Helmholtz problem
[TABLE]
for and . We assume that the wave number (frequency) satisfies111The condition can be replaced by for any . However, the constants in our estimates, possibly, deteriorate as .
[TABLE]
where, for ,
[TABLE]
Note that the choice leads to the standard Helmholtz case. The frequency domain is split into the sectorial and non-sectorial cases
[TABLE]
for some . Our focus is on the derivation of stability and error estimates that are explicit in the real and imaginary part of but less on the development of a theory with minimal assumptions on the geometry of the domain. In this light we impose the following simplifying assumption.
Assumption 2.1
* is a bounded domain with analytic boundary that is star-shaped with respect to a ball.*
We note that our results can be extended to convex polygonal domains in a straightforward way following the arguments in [10].
Let denote the usual Lebesgue space with scalar product denoted by (complex conjugation is on the second argument) and norm . Let denote the usual Sobolev space and let be the standard trace operator. We introduce the sesquilinear forms
[TABLE]
and
[TABLE]
where is the scalar product.
The weak formulation of the Helmholtz problem with Robin boundary conditions (2.1) is given as follows: For , we seek such that
[TABLE]
In the following, we will omit explicitly writing the trace operator when it is clear that it is implied.
3 The Continuity Constant
In this section, we will estimate the continuity constant of the sesquilinear form . We equip the Sobolev space with the indexed norm , where, for , we set
[TABLE]
More generally, for measurable subsets we write
[TABLE]
The -norm on is denoted by . On we introduce the weighted norm
[TABLE]
for .
Theorem 3.1
The sesquilinear form is continuous and
[TABLE]
with independent of .
Proof. The continuity estimate for the sesquilinear form is a simple consequence of the multiplicative trace inequality (see [4, p.41, last formula])
[TABLE]
Hence
[TABLE]
which implies the continuity of
[TABLE]
for a constant independent of and , .
4 The Inf-Sup Constant of
Our goal in this section is to estimate the inf-sup constant
[TABLE]
which implies well-posedness of (2.3). This involves two different theoretical techniques: In Sect. 4.1 we consider the case and obtain estimates from the coercivity of the sesquilinear form. These estimates give stable bounds for the sectorial case but deteriorate as in the non-sectorial case. In Sect. 4.2 we employ the sesquilinear form with a suitably selected test function and obtain sharp estimates also for the non-sectorial case.
4.1 The Inf-Sup Constant for
The estimate of the inf-sup constant in the following Lemma 4.1 is a direct consequence of the technique used in [1].
Lemma 4.1
Let be a bounded Lipschitz domain and let . Then the inf-sup constant of (4.1) for the sesquilinear form (cf. (2.3)) satisfies
[TABLE]
For every , problem (2.3) has a unique solution. In particular if there are , such that , then the solution satisfies
[TABLE]
Proof. We follow the idea of the proof in [1]. We choose . For the sesquilinear form with Robin boundary conditions we have
[TABLE]
The positivity of the inf-sup constant implies unique solvability (see, e.g., [12, Thm. 2.1.44]; the above argument can be used to show [12, (2.34b)]). We obtain
[TABLE]
A multiplicative trace inequality in the form of (3.5) leads to (4.3).
Lemma 4.2
Let be a smooth domain that is star-shaped with respect to a ball or let be a convex polyhedron. Let the functional be of the form with and . Then, problem (2.3) has a unique solution and satisfies
[TABLE]
for some independent of .
Remark 4.3
In [3], a stability estimate is proved that is related to (4.4) if is sufficiently small. For , the estimate (4.4) is non-degenerate for in contrast to (4.2) and the result in [3].
Proof. Without loss of generality, we assume that is star-shaped with respect to the origin. We will fix a parameter sufficiently large at the end of the proof. We distinguish between two cases.
Case a: . The condition leads to
[TABLE]
and Lemma 4.1 becomes applicable:
[TABLE]
which implies (4.4) for .
Case b: . For , existence and uniqueness follows from Lemma 4.1 while the well-posedness in the case is a consequence of [6, Prop. 8.1.3]. We write so that implies for . First let . We choose and consider the real part of (2.3), which yields
[TABLE]
Young’s inequality on the right-hand side leads to
[TABLE]
These two inequalities imply
[TABLE]
which is the desired (4.4) in view of .
The proof for is essentially a repetition of the arguments in the proof of [6, Prop. 8.1.4] using the inequalities for three different test functions in (2.3) and Young’s inequality. For completeness, we show the relevant inequalities. The first test function is yielding, after taking the real part,
[TABLE]
Next we choose and consider the imaginary part to get
[TABLE]
As a last test function we use ; note that the assumptions on the domain imply via elliptic regularity theory that . Integration by parts yields with (we write to indicate the generalization to arbitrary spatial dimension )
[TABLE]
Rearranging yields
[TABLE]
We remark that (4.8) and (4.7) give
[TABLE]
which allows for controlling and in terms of and the data , :
[TABLE]
Since is assumed to be star-shaped, one has for all . Inserting this and (4.13) into (4.9) gives with
[TABLE]
The proof can be completed with suitable applications of Young’s inequality, use of (4.12), (4.13), and selecting sufficiently large to treat the term .
4.2 The Inf-Sup Constant of
for
In the following Theorem 4.4 we will prove an alternative estimate (compared to (4.2)) for the inf-sup constant that is robust as . To estimate this constant we employ the standard ansatz and for some . Then
[TABLE]
The choice of will be related to some adjoint problem.the next section.
Theorem 4.4
Let be a smooth domain that is star-shaped with respect to a ball or let be a convex polyhedron. Then there exists a constant such that for all the inf-sup constant of (4.1) satisfies
[TABLE]
Proof. Let and and set . First, we consider the case with .
From Lemma 4.1 we have for any the estimate
[TABLE]
It remains to consider the case with . Let and set . Then
[TABLE]
We consider the adjoint problem: find such that
[TABLE]
which is well-posed according to Lemma 4.2 and satisfies
[TABLE]
For this choice of , we consider the real part of (4.14) and obtain
[TABLE]
Hence
[TABLE]
and
[TABLE]
5 Regular Decomposition of the Helmholtz Solution
In this section, we develop a regular decomposition of the solution of the Helmholtz problem (2.1) based on a frequency splitting of the right-hand side. The frequency splitting for functions defined on the full space is defined via their Fourier transform (Sect. 5.1). For functions defined on finite domains, we derive the regular splitting using a lifting operator (Sect. 5.3). This generalizes the theory developed in [9, 10] to complex frequencies and the resulting estimates are explicit with respect to the real and imaginary part of the wave number.
5.1 The Full Space Adjoint Problem for
The first result concerns the adjoint problem for the full space . Let be a function with compact support. We choose sufficiently large so that the open ball with radius centered at the origin contains . We consider the problem
[TABLE]
To analyze this equation we employ Fourier transformation and introduce a cutoff function satisfying :w
[TABLE]
The fundamental solution to the Helmholtz operator in is given by
[TABLE]
It satisfies
[TABLE]
so that is given by . Define and
[TABLE]
The properties of ensure . To analyze the stability and regularity of we introduce a frequency splitting of the solution that depends on the complex frequency and a parameter .
Lemma 5.1
Let such that is contained in a ball of radius centered at the origin, and let be a cutoff function satisfying (5.2). Then there exists a constant depending only on and such that the solution of (5.1) and satisfy and
[TABLE]
*Furthermore, for every and with there exists a - and -dependent splitting satisfying *
[TABLE]
[TABLE]
Here, stands for a sum over all derivatives of order (see (5.16)). The constant depends only on , , and .
Remark 5.2
As the estimates in Lemma 5.1 degenerate for , we will employ Lemma 5.1 for for fixed . Then and we have
[TABLE]
*In particular, implies . *
Proof. For , we set and . In order to construct the splitting , we start by recalling the definition of the Fourier transformation for functions with compact support
[TABLE]
and the inversion formula
[TABLE]
Next, we introduce a frequency splitting of a function depending on and a parameter by using the Fourier transformation. The low- and high-frequency part of is given by
[TABLE]
where is the characteristic function of the open ball with radius centered at the origin.
We construct a decomposition of
[TABLE]
as follows: We decompose the right-hand side in (5.1) via
[TABLE]
Accordingly, we define the decomposition of by
[TABLE]
The Fourier transform of is given by
[TABLE]
with
[TABLE]
In the following we will analyze the symbol . We have:
[TABLE]
with Applying integration by parts leads to
[TABLE]
This allows for the estimate
[TABLE]
with
[TABLE]
Hence,
[TABLE]
Since we end up with
[TABLE]
As a consequence, we have proved that
[TABLE]
so that we have
[TABLE]
This shows (5.3). In the following we estimate higher order derivatives. For the product , we get
[TABLE]
The estimates
[TABLE]
follow from the properties of (cf. (5.2)). As a simple consequence we obtain for
[TABLE]
and
[TABLE]
Hence for , , we have
[TABLE]
and
[TABLE]
The bounds (5.16) expresses the desired estimate (5.6). A direct application of (5.14) does not lead to (5.5) as it introduces an undesired factor . This is removed by noting that is suffices to consider with and that only the estimates for need to be refined. This is achieved with an integration by parts:
[TABLE]
Observe
[TABLE]
Also we have
[TABLE]
Hence,
[TABLE]
This leads to
[TABLE]
and, in turn,
[TABLE]
From this, assertion (5.5) follows.
5.2 The Helmholtz Solution with Robin Boundary Conditions
In this section, we will derive a regularity result in the spirit of Lemma 5.1 for for the interior problem with Robin boundary conditions:
[TABLE]
Note that Assumption 2.1 implies well-posedness of (5.19) via Lemma 4.2. The solution operator for (5.19) is denoted .
Theorem 5.3
*Let Assumption 2.1 be valid and fix . Then there exist constants , such that for every , , and , the solution of (5.19) can be written as , where, for all , *
[TABLE]
[TABLE]
The proof is the generalization of the proof in [10] for real wave numbers to more general with emphasis on the explicit dependence of the estimates on the real and imaginary part. It follows from Lemmata 5.11 and 5.12, which are presented in Sect. 5.3 ahead.
5.3 The Solution Operators , ,
, and
For the analysis we introduce low- and high pass frequency filters for a bounded domain as well as for its boundary. Let be the extension operator of Stein, [17, Chap. VI]. Then for we set
[TABLE]
for and defined in (5.8) for some . By [10, Lemmas 4.2, 4.3], these operators have the following stability properties:
[TABLE]
where the constant depends on and depends on , but is independent of and .
To define frequency filters on the boundary we employ a lifting operator defined in Lemma 5.4 below with the mapping property for every and . We then define and by
[TABLE]
In particular, we have and .
Lemma 5.4** (Def. of lifting )**
Let be smooth. Given , define as the solution of
[TABLE]
Then the following holds:
[TABLE]
Proof. The energy estimate (5.28) follows from the coercivity of the pertinent sesquilinear form. The -estimate follows from elliptic regularity theory.
Lemma 5.5** (properties of and )**
Let be smooth. Fix . Then there is in the definition of and such that the following holds (with implied constants independent of ):
[TABLE]
Proof. Recall that , where
[TABLE]
and denotes an analytic extension of the normal on to a tubular neighborhood of and is the standard trace operator. Using (3.5) yields
[TABLE]
where denotes the Hessian of a function. From (5.25)
[TABLE]
For , we note
[TABLE]
The proof of (5.31) is similar. We note
[TABLE]
where is related to via (5.26) and can be made arbitrarily small by selecting appropriately. Hence, recalling that we get
[TABLE]
Next, we introduce the solution operators , , .
We denote by the solution of the full space Helmholtz problem with Sommerfeld radiation condition (in the weak sense):
[TABLE]
for with compact support. Here denotes the derivative in radial direction . 2. 2.
is the solution operator to the problem
[TABLE]
for 3. 3.
We define as the solution operator to the problem (2.1) for analytic right-hand sides , .
The proof of the next lemma is a direct consequence of Lemma 5.1.
Lemma 5.6** (properties of )**
Let . For with , the function satisfies on . For any (appearing in the definition of the operator defined in (5.8)) there exist depending only on and such that
[TABLE]
*Furthermore, for the following is true: given one can select such that for all *
[TABLE]
Proof. (5.33) is a direct consequence of Lemma 5.1. The bounds (5.34) follow from (5.33).
The next two lemmata generalize the results in [10, Lemmas 4.5, 4.6] to complex wave numbers .
Lemma 5.7** (properties of )**
Let be a bounded Lipschitz domain and . For the function satisfies
[TABLE]
[TABLE]
If is smooth and then additionally
[TABLE]
Proof. The proof is essentially given in [10, Lemma 4.5].
A combination of Lemma 5.5 and Lemma 5.8 imply the following corollary.
Corollary 5.8** (properties of )**
Let Assumption 2.1 be satisfied, , and let . There exists defining the high frequency filter such that for every and every we have
[TABLE]
Lemma 5.9** (analyticity of )**
Let Assumption 2.1 be valid and let appearing in the definition of and be fixed. Then there exist constants , independent of such that, for every and the function is analytic on and satisfies for all the estimates
[TABLE]
Proof. From Lemma 4.2, we have
[TABLE]
The combination of (5.39), Lemma 5.4, Lemma 5.5 and (5.25) leads to
[TABLE]
To estimate higher derivatives, we employ [7, Prop. 5.4.5] in a similar way as in the proof of [10, Lemma 4.13]. To apply [7, Prop. 5.4.5] an estimate of the constant
[TABLE]
is needed, where is defined in (5.32). We track the dependence of on in a modified way (compared to [10, p. 1225]): we use inequalities (5.28) and (5.29) to obtain
[TABLE]
Estimate (5.38) then follows from [7, Prop. 5.4.5].
Corollary 5.10
Fix . Let , and . Set . If has the form then the function satisfies for all
[TABLE]
If , this gives
[TABLE]
Proof. We proceed in the same way as in [10, Lemma 4.12] with and estimate the constant in (5.40). Lemma 5.6 and (3.5) lead to
[TABLE]
[TABLE]
This implies
[TABLE]
and
[TABLE]
In the same way as at the end of the proof of Lemma 5.9 we obtain
[TABLE]
Lemma 5.11** (properties of )**
Let , Assumption 2.1 be valid, and . For every , there exist constants , , depending on such that for every and , the function can be written as , where
[TABLE]
For a function with the remainder satisfies
[TABLE]
Proof. Define
[TABLE]
Here, the parameter defining the filter operators and is still at our disposal and will be selected at the end of the proof. Then, satisfies the desired bounds by Lemma 5.9. Lemma 5.6 gives
[TABLE]
Also, the parameter depends on and is still at our disposal. In fact, in view of the statement of Lemma 5.6 it can be made sufficiently small by taking sufficiently large.
The function solves
[TABLE]
Next, we define the functions and by
[TABLE]
Then, the analytic part satisfies again the desired analyticity bounds by Lemma 5.9 and Corollary 5.10 . For the function we obtain from Lemma 5.8 and inequalities (5.41) (set ) the estimates
[TABLE]
Let and . We now set and and conclude that the function satisfies
[TABLE]
For we obtain
[TABLE]
Hence, by taking sufficiently large so that is sufficiently small, we arrive at the desired bound.
Lemma 5.12** (properties of )**
Let and Assumption 2.1 be valid. Let . Then there exist constants , independent of (but depending on ) such that for every the function can be written as , where for all
[TABLE]
For a with the remainder satisfies the equation
[TABLE]
Proof. The proof is very similar to that of Lemma 5.11. Define
[TABLE]
Then is analytic and satisfies the desired analyticity estimates by Lemma 5.9. For we have by Corollary 5.8
[TABLE]
where is at our disposal and depends on the parameter in the definition of and . Upon abbreviating and the function satisfies
[TABLE]
together with
[TABLE]
Next, we define and by
[TABLE]
Here, in order to apply the operator , we extend by zero outside of . By Lemma 5.9 and (5.46), we see that satisfies the desired analyticity estimates. For the function , we obtain from Lemma 5.6
[TABLE]
We set and . Then and satisfy the desired estimates and satisfies
[TABLE]
with
[TABLE]
The result follows by selecting sufficiently large so that is sufficiently small.
6 Discretization
We apply the regularity theory of the previous section to the of -finite element method. Let be the solution operator of the adjoint problem: find such that
[TABLE]
Let be a closed subspace and define the adjoint approximability
[TABLE]
6.1 Discrete Inf-Sup Constant and
Quasi-Optimality
For , the existence and uniqueness of the Galerkin solution follows from Lemma 4.1. If is purely imaginary, well-posedness and quasi-optimality of the Galerkin discretization are shown in [10] under the restriction that
[TABLE]
where is the constant appearing in (3.3). In the next theorem, we derive an estimate of the discrete inf-sup constant for general .
Theorem 6.1
For let the sesquilinear form be given by (2.3). Then the discrete inf-sup constant
[TABLE]
satisfies the following:
If , then
[TABLE] 2. 2.
If and then,
[TABLE]
for a constant independent of .
Remark 6.2
The resolution condition (6.2) is not an artifact of the theory: in [8, Ex. 3.7], a domain , a finite element space , and a purely imaginary wave number are presented where the Galerkin discretization leads to a system matrix that is not invertible.
**Proof of Theorem 6.1. **Let . The first statement follows directly from the continuous inf-sup constant in Lemma 4.1. We prove the second statement. Let and choose , where . Then it is simple to check that
[TABLE]
Let be the best approximation of with respect to the norm. Then
[TABLE]
Moreover
[TABLE]
and, in turn, we have proved
[TABLE]
A simple calculation shows that there exists a constant independent of such that the right-hand side in (6.3) is bounded from below by the right-hand side in (6.2).
Theorem 6.3
Assume that . Then the Galerkin method based on is quasi-optimal, i.e., for every there exists a unique with for all , and
[TABLE]
Equation (6.4) is a direct consequence of the discrete inf-sup constant proved in Theorem 6.1. Estimate (6.5) follows from the proof of the next theorem (see (6.9)). We note here that for , the ratio is bounded from above and no resolution assumption is required. In the next theorem, we find that under a resolution assumption, the estimate (6.4) can be improved, such that it is non-degenerate for .
Theorem 6.4
If
[TABLE]
then the Galerkin method based on is quasi-optimal and
[TABLE]
Proof. We prove the theorem in the case where . Let and define . Let be the best approximation to with respect to the norm. The Galerkin orthogonality implies
[TABLE]
This yields
[TABLE]
in both cases. Let . We compute for
[TABLE]
which leads to (6.7) under the condition .
6.2 Impact on -FEM Approximation
We have shown in Sect. 6.1, that the Galerkin solution of the Helmholtz problem with Robin boundary conditions (5.19) with is quasi-optimal for any closed subspace , if the adjoint approximability fulfills the resolution condition
[TABLE]
Let be the -FEM space described in [9, Sect. 5]. Similarly as in [10, 9], one can show that the Galerkin method based on is quasi-optimal if
[TABLE]
More specifically, one can prove that there exist constants , that depend on the shape regularity of the triangulation such that for ever the function satisfies for the regular decomposition given by Theorem 5.3
[TABLE]
(see [9, Sect. 5], in particular the proof of [9, Thm. 5.5] for details). By choosing and as in (6.10) the right-hand sides in (6.11a) and (6.11b) imply the resolution assumption (6.6) and therefore the optimal convergence for the Galerkin solution.
If no resolution condition is needed for the quasi-optimality of the problem (cf. Theorem 6.3). In that case, the solution is typically smooth in the domain and exhibits, for large , a boundary layer. Such problems can be handled by suitable meshes capable to resolve the layers such as Shishkin meshes in the context of the -version of the FEM [11, 16, 7] and “spectral boundary layer meshes” in the context of the -FEM, [15, 7].
7 Numerical Experiments
We consider the domain and the equation
[TABLE]
Using Bessel functions and polar coordinates, the solution is given as
[TABLE]
We consider values of with
[TABLE]
where
[TABLE]
The purely imaginary wave number corresponds to the choice and to the real-valued case. We consider the -FEM on quasi-uniform meshes for . The results are presented Fig. 1, where the error is plotted versus the number of degrees of freedom per wavelength
[TABLE]
The calculations were carried out within the -FEM framework NgSolve, [13, 14]. The following features are visible in Fig. 1:
- a)
A plateau before convergence sets in. 2. b)
A pollution effect for close to the imaginary axis (). That is, asymptotic quasi-optimality sets in for larger as becomes larger for close to . 3. c)
The pollution effect decreases with increasing polynomial degree. In particular, the asymptotic behavior is reached for smaller values of as is increased. 4. d)
The pollution effect decreases with decreasing angle .
The observation a reflects a natural resolution condition for the problem class under consideration; that is, the best approximation error can only be expected to be small if is small. The pollution effect observed in b is well-documented for the purely imaginary case . Fig. 1 shows that it is present also for (and large ), albeit in a mitigated form. Theorem 6.4 quantifies how this pollution effect is weakened as the ratio increases. More specifically, the resolution condition (6.10), which results from applying Theorem 6.4 to high order methods, illustrates the helpful effect of . In the limiting case , the Galerkin method is an energy projection method and even monotone convergence can be expected in the energy norm on sequences of nested meshes.
The observation c is also well-documented for the purely imaginary case and mathematically explained in [9, 10]. The regularity of the present work permits to extend the -FEM analysis of [9, 10] to the case as done in Sect. 6.2. The observation that the asymptotic convergence regime is reached for smaller as is increased can be understood qualitatively from Theorem 6.4 and the bounds (6.11) for . Consider, for notational simplicity, the case . Then quasi-optimality of the -FEM is reached if
[TABLE]
Recalling allows us to simplify the condition for quasi-optimality as
[TABLE]
This shows that for larger quasi-optimality of the -FEM may be expected for small .
Finally, observation d can again be explained by Theorem 6.4 since the factor is reduced as the ratio increases.
Acknowledgements:
The authors are grateful to Maximilian Bernkopf (TU Wien) for providing the numerical experiments. JMM acknowledges the support of the Austrian Science Fund (FWF) through project W1245. The research was initiated while SAS was visiting the Erwin Schrödinger Institute during the thematic program Numerical Analysis of Complex PDE Models in the Sciences. The authors SAS and CT gratefully acknowledge the support by the Swiss National Science Foundation under grant no. 172803.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Bamberger and T. Ha-Duong. Formulation variationelle espace-temps pour le calcul par potentiel retardé d’une onde acoustique. Math. Meth. Appl. Sci. , 8:405–435 and 598–608, 1986.
- 2[2] S. Esterhazy and J. M. Melenk. On stability of discretizations of the Helmholtz equation. In I.G. Graham, T.Y. Hou, O. Lakkis, and R. Scheichl, editors, Numerical Analysis of Multiscale Problems , volume 83 of Lect. Notes Comput. Sci. Eng. , pages 285–324. Springer, Berlin, 2012.
- 3[3] I. G. Graham, E. A. Spence, and J. Zou. Domain Decomposition with local impedance conditions for the Helmholtz equation. Ar Xiv e-prints , June 2018. ar Xiv:1806.03731.
- 4[4] P.G. Grisvard. Elliptic Problems in Nonsmooth Domains . Pitman, Boston, 1985.
- 5[5] M. Lopez-Fernandez and S. A. Sauter. Fast and stable contour integration for high order divided differences via elliptic functions. Math. Comp. , 84(293):1291–1315, 2015.
- 6[6] J. M. Melenk. On Generalized Finite Element Methods . Ph D thesis, University of Maryland at College Park, 1995.
- 7[7] J. M. Melenk. hp-Finite Element Methods for Singular Perturbations . Springer, Berlin, 2002.
- 8[8] J. M. Melenk, A. Parsania, and S. A. Sauter. General DG-methods for highly indefinite Helmholtz problems. J. Sci. Comput. , 57(3):536–581, 2013.
