For every perfect matching , each vertex occurs exactly once, so the feasibility inequalities give
If a perfect matching uses only tight edges, equality holds. It therefore attains a lower bound valid for every perfect matching, proving minimum cost. In a bipartite graph this is the weak duality and complementary slackness certificate for the assignment problem. The Hungarian algorithm maintains feasible row and column potentials and seeks a perfect matching among tight edges.

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