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9

Note: all vector inequalities in this reply are to be interpreted pointwise. Given a linear feasibility problem, you can always rewrite it in the following canonical form: given a matrix $A \in \mathbb{R}^{m \times n}$ and vector $b \in \mathbb{R}^m$, does there exist an $x \geq \vec{0}$ such that $Ax \leq b$? Farkas' lemma states that when a system of ...


6

Theorem 1. The given problem is NP-hard, by reduction from MAX-CUT. Proof. Call the given problem Positive Discrepancy Cut (PDC). Define weighted PDC to be the generalization where the input is a graph $G=(V,E)$ with polynomially bounded (possibly negative) integer edge weights, and the goal is to determine whether there is a positive-weight cut. To prove ...


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