# Beyond Edge Elements

Gerrit Mur, retired, but not quite

Summary

I look back at the discussion about edge elements for electromagnetics. Not much progress seems to have been made since I published ‘the Fallacy’ and the points against edge elements I made in that paper remain to be refuted. In this paper I shortly describe the situation and propose a new finite-element method for computing electromagnetic fields. Unfortunately I do not have the means any more to put them to the test.

1. What were the problems?

a. The problems with edge elements

In my paper ‘The fallacy of edge elements’ I argued against the use of edge elements for computing electromagnetic fields. The main points against edge elements are listed below, for a full discussion I refer to my paper.

1.    Contrary to what is stated by the advocates of edge elements these elements do allow spurious solutions, they even do so by definition.

2. The use of edge elements is very inefficient because of generating a unnecessarily large number of unknowns.

3. The representation of the field by edge elements has a poor condition as compared with Cartesian bases.

The good thing about edge-element methods is that, despite the fact that edge elements do allow spurious solutions, methods using them do not seem to suffer very much from it in practice and it is inefficiency that is their main disadvantage.

a.1 Why do edge elements not usually produce wrong results?

Edge elements do allow spurious, i.e. erroneous, solutions, there is no doubt about that, but methods using them do not usually produce errors, how can we understand that? The answer to this question is found by studying the properties of 1: the resulting system of equations together with 2: the solution vector and 3: the method of solution.

First we note that the system of equations is going to be solved iteratively. (The reason for this is, of course, that only iterative methods are practical for practical problems, but remember that the matrix is highly singular because of which a direct solution would be impossible anyhow.) In an iterative solution we have a starting solution vector and this vector is iteratively updated until a sufficiently accurate result is obtained. About this process there are two observations we can make here.

1. For the initial solution all elements of the solution vector are set to zero. Note that this initial ‘solution’ is 100% incorrect but because all coefficients in the expansion of the field are zero the normal continuity conditions across the interfaces between elements are satisfied exactly and no error is made in the normal fluxes. It are the normal fluxes where edge elements freely allow errors.

2. The iterative solution proceeds by manipulating the solution vector using the system matrix and possibly, for speeding up the process, an approximate inverse of this matrix. Neither the system matrix, nor its approximate inverse, contains any information about the normal continuity and consequently the errors in the normal fluxes remain unaltered i.e. zero.

b. The problem with nodal elements

The well known nodal elements, I prefer to refer to them as Cartesian elements, are very efficient and provide an optimum condition of the representation of the field. The problem with Cartesian elements is, however, that they have three unknowns (the three components of either the electric or magnetic field vector) at each node whereas four conditions that apply to the simplicial star of this node (3 for the curl and 1 for the divergence) are imposed upon them. Hence we have more independent equations than unknowns and problems must be expected, and they are in fact found.

2. What are the options?

Thinking about our problem we can start from two sides:

1. Use edge elements and try to remove the problems with normal fluxes by adding additional equations. In this way we may be able to exclude the possibility of spurious solutions but we add to the complexity of the large system matrix, i.e. we increase the already existing inefficiency of the method. This must be a dead end.

2. Use Cartesian elements and add, at each node, one degree of freedom making the number of conditions applying at each node (4) equal to the number of unknowns (4). The question then becomes: ’How to add a meaningful additional degree of freedom at each node?’. It is that question that we want to answer below.

When deciding how to add an additional degree of freedom at a node we first note that the curl equations already provide sufficient information for computing the 3-component vector. So it is the modelling of the divergence that we need additional solution space for.
A hint to solve our problem is given by edge elements that do not have this type of problem, with edge elements we have a much to wide solution space since the normal fluxes across interfaces are left free to jump.

3. My proposal

Consider, for simplicity of the argument, a node in a regular rectangular 3-dimensional mesh that consists of rectangular bricks, each of these bricks being subdivided in tetrahedra. Let us, again for simplicity of the argument, assume that the origin of our coordinate system coincides with this node and that we aim at computing the electric field strength E using first order, i.e. linear, elements and that the medium is locally homogeneous. We now know that we have 4 equations for the 3 unknowns, Ex, Ey and Ez, at the centre of this simplicial star.
For solving our shortage of unknowns we now propose to widen our solution space by  splitting one of them, e.g.  Ex but this choice is arbitrary, in two unknowns viz Ex+, applying to the part of the simplicial star above the plane x=0, and Ex- applying to the part below this plane. In this way we allow for a discontinuity in Ex across the plane x=0, and consequently a possible divergence across this ‘interface’. Our fourth equation, modelling the divergence, will now ensure that the divergence in the simplicial star of this node is set to 0 (or to any other value required, an option not available with edge elements). In case we omit this fourth equation we obtain a situation comparable with not prescribing normal flux conditions at edge-element interfaces and the difference between the final results Ex+ and Ex- will most probably be 0.

Applying this splitting to each node of the mesh we have four independent equations and four unknowns at each node throughout the domain of computation and reliable results can be obtained with an optimum efficiency. With linear elements we have 4, or perhaps 6, unknowns per node, with equivalent linear edge elements we would have tens of unknowns related to each node, the exact number depending on the mesh.

1. Note that the choice for splitting up Ex is arbitrary. Each of the other components could have been chosen with the same result.
2. For symmetry reasons one could opt for splitting up all three components of the electric field strength. This gives rise to two more unknowns but we can solve this symmetrically by adding the two equations Ex+ - Ex- = Ey+ - Ey- =Ez+ - Ez-. This choice may be useful for the modelling of the field near corners and points where interfaces intersect.

3. It is easily understood that our proposal can straightforwardly be generalized to the application at general meshes.

4. At arbitrarily oriented interfaces between different media the Cartesian basis of the representation of the field may locally be rotated so as to easily accommodate the local continuity conditions. Another option is to use edge elements along (intersecting) interfaces, but only there, like we did in the FEMAX packages. In this way we combine the best things of both worlds, simplicity and efficiency in homogeneous regions and flexbility along interfaces and their intersections.  Note that the number of elements related to interfaces (2D) is, for practical problems, much smaller than the number of elements in the homogeneous subdomains (3D) because of which the efficiency of our method is not seriously reduced by the introduction of edge elements along interfaces.

5. Final conclusion

We have proposed a new and very efficient way of representing the field in a finite element method for the direct computation of electric or magnetic field strength distributions i.e. without the use of methods like vector potentials and/or methods based on the exclusive use of edge elements.

On a personal level:

When my health forced me to retire I was not anymore able to deal with the challenges I saw in the finite element modelling of electromagnetic fields. With the above thoughts I have closed the book.

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