The results we now present for the triangle and the tetrahedron are special cases of the previous section, but for clarity we will outline some of the steps used to find these results.
We first consider the tetrahedron as this has the most complex mapping
between the local cartesian coordinates and the tensor
coordinates. Using the scaled coordinates
for the tetrahedron (for simplicity) we
can express the local orthogonal coordinates
as:
We consider the operator:
Using the following identities it is straightforward to express the operator with respect to the (a,b,c) coordinates:
After some manipulation the operator can be expressed in terms of the (a,b,c) coordinates and is:
This demonstrates that the operator maintains tensor form in the (a,b,c) coordinate system. It is now trivial to show that this is a self-adjoint operator by applying one-dimensional integration by parts to each of the three tensor parts. Also, by using the definition of the Jacobi polynomials we can show that the orthogonal basis is a set of eigenfunctions of LTet and find their eigenvalues.
We will now show that the polynomial functions
defined by:
are eigenfunctions of the LTet operator. We consider the first part of the operator. The definition of the Jacobi polynomial directly implies the following relationship:
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Applying the same technique again we come to the relationship:
Thus, the tensor product of Jacobi polynomials
are eigenfunctions of the total operator LTet with eigenvalues:
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