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A Range Condition for Polyconvex Variational Regularization
Authors:Clemens Kirisits  Otmar Scherzer
Institution:1. Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences, Linz, Austria;2. Computational Science Center, University of Vienna, Vienna, Austria
Abstract:In the context of convex variational regularization, it is a known result that, under suitable differentiability assumptions, source conditions in the form of variational inequalities imply range conditions, while the converse implication only holds under an additional restriction on the operator. In this article, we prove the analogous result for polyconvex regularization. More precisely, we show that the variational inequality derived by the authors in 2017 implies that the derivative of the regularization functional must lie in the range of the dual-adjoint of the derivative of the operator. In addition, we show how to adapt the restriction on the operator in order to obtain the converse implication.
Keywords:Convergence rates  inverse problems  polyconvex functions  regularization theory  source conditions
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