Submitted:
29 January 2024
Posted:
30 January 2024
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Abstract
Keywords:
MSC: 65M06; 65M12; 65M15; 65M55; 65M60
1. Introduction
2. The model problem
- First, we consider that , where is an interior open set whose boundary does not intersect and is the complementary set of with respect to (the boundary of is ). The dielectric permittivity denoted by is assumed to belong to and to fulfill the conditions:
2.1. Notations and reminders
- Any scalar function defined in will be denoted by a lower case Greek letter combined or not with other symbols different from upper case letters. For a given non negative function we introduce the weighted -semi-norm , which is actually a norm if everywhere in . The notation expresses , being two square-integrable fields in . If is strictly positive this expression defines an inner product associated with the norm .
- We denote by the duality product of for .
2.2. Well-posedness considerations
- Let and let be the subspace of of the pairs satisfying in . Noticing that the trace over of a field in lies in (cf. [25]), recalling the space , we set the problem
2.3. Variational form
- Thus, taking an arbitrary and using Green’s first identity, together with the absorbing boundary conditions satisfied by , we readily obtain ,
- 2.
3. Space-time discretization
3.1. Space semi-discretization
- Setting we define (resp. ) to be the standard -interpolate of (resp. ). Then the space semi-discretized problem to solve consists of finding such that,
3.2. Full discretization
- The expression for continuous and gives rise to an approximation of the inner product henceforth denoted by . In order to simplify the calculations we further approximate the inner product by the inner product , whose definition is given below, followed by the expression approximating the inner product for every .
4. Reliability analysis
4.1. Scheme stability
- First of all it is easy to see that
- Let us assume that satisfies the following CFL-condition:
4.2. Scheme consistency
4.2.1. Preliminaries
- Another result that we take for granted in this section is the existence of a constant such that,
- (4.56) is a result whose grounds are found in analogous inequalities for convex polytopes applying to both the scalar Poisson problem and the linear elasticity system (or yet to the Stokes system) (cf. [26]). In fact (4.55) can be viewed as a problem half way between the vector Poisson equation with homogeneous Neumann boundary conditions whenever , and a modified linear elasticity system with a smoothly varying Poisson ratio whenever . This fully justifies (4.56).
- Let us show that there exists another mesh-independent constant such that for every it holds,
- To conclude these preliminary considerations, we refer to Chapter 5 of [31], to infer that the second order time-derivative is well defined in for every , as long as lies in for every . Moreover, provided for every , the following estimate holds:
- Assumption* : The solution to equation (2.2) belongs to .
- Now taking we have , where : denotes the inner product of two constant tensors of order greater than or equal to three. Then by the Cauchy-Schwarz inequality and taking into account Assumption*, it trivially follows from (4.64) that the following upper bound holds:
- First of all, let be the standard orthogonal projection operator onto the space of linear functions in K. We set
- The following results hold in connection to the above inner products:
4.2.2. Residual estimation
- The case of the initial conditions will be dealt with in the next section in the framework of the convergence analysis. As for the variational residual resulting from the above substitution, where is a linear functional acting on , it can be expressed in the following manner:
- Estimating is a trivial matter. Indeed, since , from (4.59) we immediately obtain,
- First of all we search for upper bounds for the operators , , and . With this aim we denote by the euclidean norm of , for .
- From (4.76) and the Cauchy-Schwarz inequality, we easily obtain for every and such that ,
- With the use of (4.82) and of Lemma 4.3 followed by a trivial manipulation, we successively have:
4.3. Convergence results
4.3.1. Initial-condition deviations
- Let us first define,
- On the other hand according to (4.63) we have . This yields,
- ;
- ;
- ;
- .
4.3.2. Error estimates
- Now we define for any function or field to be the mean value of in , that is . Clearly enough we have
5. Assessment of the scheme

| l | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 32 | 25 | 0.6057 | 2.2827 | 3.1375 | |||
| 2 | 128 | 81 | 0.1499 | 4.0418 | 1.0769 | 2.1198 | 1.1536 | 2.7196 |
| 3 | 512 | 289 | 0.0333 | 4.5007 | 0.4454 | 2.4178 | 0.5776 | 1.9972 |
| 4 | 2048 | 1089 | 0.0078 | 4.2466 | 0.2077 | 2.1449 | 0.2802 | 2.0617 |
| 5 | 8192 | 4225 | 0.0019 | 4.1288 | 0.1066 | 1.9483 | 0.1379 | 2.0313 |
| 6 | 32768 | 16641 | 0.0005 | 4.0653 | 0.0535 | 1.9905 | 0.0690 | 1.9981 |
| l | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 32 | 25 | 0.6144 | 1.8851 | 3.0462 | |||
| 2 | 128 | 81 | 0.1511 | 4.0666 | 1.0794 | 1.7464 | 1.1417 | 2.6682 |
| 3 | 512 | 289 | 0.0339 | 4.4553 | 0.4713 | 2.2904 | 0.5680 | 2.0099 |
| 4 | 2048 | 1089 | 0.0080 | 4.2216 | 0.2166 | 2.1753 | 0.2760 | 2.0583 |
| 5 | 8192 | 4225 | 0.0019 | 4.1207 | 0.1137 | 1.9049 | 0.1354 | 2.0381 |
| 6 | 32768 | 16641 | 0.0005 | 4.0615 | 0.0566 | 2.0092 | 0.0677 | 1.9997 |
| l | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 32 | 25 | 0.6122 | 1.9517 | 3.0545 | |||
| 2 | 128 | 81 | 0.1529 | 4.0027 | 1.0896 | 1.7912 | 1.1445 | 2.6689 |
| 3 | 512 | 289 | 0.0346 | 4.4266 | 0.4879 | 2.2331 | 0.5639 | 2.0296 |
| 4 | 2048 | 1089 | 0.0082 | 4.2069 | 0.2234 | 2.1839 | 0.2728 | 2.0667 |
| 5 | 8192 | 4225 | 0.0020 | 4.1151 | 0.1183 | 1.8879 | 0.1336 | 2.0418 |
| 6 | 32768 | 16641 | 0.0005 | 4.0585 | 0.0595 | 1.9890 | 0.0668 | 2.0008 |
| l | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 32 | 25 | 0.6107 | 1.9930 | 3.0603 | |||
| 2 | 128 | 81 | 0.1546 | 3.9505 | 1.1006 | 1.8108 | 1.1464 | 2.6696 |
| 3 | 512 | 289 | 0.0351 | 4.4031 | 0.4982 | 2.2090 | 0.5619 | 2.0403 |
| 4 | 2048 | 1089 | 0.0084 | 4.1954 | 0.2288 | 2.1777 | 0.2706 | 2.0765 |
| 5 | 8192 | 4225 | 0.0020 | 4.1106 | 0.1223 | 1.8715 | 0.1325 | 2.0417 |
| 6 | 32768 | 16641 | 0.0005 | 4.0561 | 0.0607 | 2.0139 | 0.0662 | 2.0011 |


6. Final remarks
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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