Non-negative solutions and positive resolving kernels with negative solution averages in linear inverse theory

Using the duality theorem of linear programming, it is shown that, for a linear inverse problem, the non-existence of a non-negative solution is equivalent to the existence of a positive-resolving kernel associated with a negative solution average. If no such resolving kernel can be found, we are then guaranteed the existence of a non-negative solution.