Existence and uniqueness of minimizers of general least gradient problems
Authors
Robert L. Jerrard, Amir Moradifam, Adrian I. Nachman
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 .