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Existence and uniqueness of minimizers of general least gradient problems

Abstract

Motivated by problems arising in conductivity imaging, we prove existence, uniqueness, and comparison theorems - under certain sharp conditions - for minimizers of the general least gradient problem where is continuous, and is a function that, among other properties, is convex and homogeneous of degree 1 with respect to the variable. In particular we prove that if is bounded away from zero, then minimizers of the weighted least gradient problem are unique in . We construct counterexamples to show that the regularity assumption is sharp, in the sense that it can not be replaced by with any .