Saturation of Regularization Methods for Linear Ill-Posed Problems in Hilbert Spaces

We prove the saturation of methods for solving linear ill-posed problems in Hilbert spaces for a wide class of regularization methods. It turns out that, under a certain convexity assumption, saturation must necessarily occur. We provide easy to verify assumptions, which allow us to calculate the rate at which saturation occurs.