We propose and study quantitative measures of smoothness which are adapted to
anisotropic features such as edges in images or shocks in PDE's. These
quantities govern the rate of approximation by adaptive finite elements, when
no constraint is imposed on the aspect ratio of the triangles, the simplest
examples of such quantities are based on the determinant of the hessian of the
function to be approximated. Since they are not semi-norms, these quantities
cannot be used to define linear function spaces.
Given a function f defined on a bidimensional bounded domain and a positive
integer N, we study the properties of the triangulation that minimizes the
distance between f and its interpolation on the associated finite element
space, over all triangulations of at most N elements. The error is studied in
the Lp norm and we consider Lagrange finite elements of arbitrary polynomial
degree m-1.
Mesh adaptation for finite element approximation is a procedure used in
numerous applications. The use of thin and long anisotropic triangles improves
the efficiency of the procedure. When piecewise linear finite elements are
used, the aspect ratio for mesh adaptation is generally dictated by the
absolute value of the (estimated) hessian matrix of the approximated function.
We give in this paper the corresponding aspect ratio for piecewise quadratic
finite elements.