Structural properties of solutions to total variation regularization problems

Abstract

In dimension one it is proved that the solution to a total variation-regularized least-squares problem is always a function which is "constant almost everywhere", provided that the data are in a certain sense outside the range of the operator to be inverted. A similar, but weaker result is derived in dimension two.