Polynomial size linear programs for problems in P

A perfect matching in an undirected graph G=(V,E) is a set of vertex disjoint edges from E that include all vertices in V. The perfect matching problem is to decide if G has such a matching. Recently Rothvoß proved the striking result that the Edmonds’ matching polytope has exponential extension complexity. In this paper for each n=|V| we describe a polytope for the perfect matching problem that is different from Edmonds’ polytope and define a weaker notion of extended formulation. We show that the new polytope has a weak extended formulation (WEF) Q of polynomial size. For each graph G with n vertices we can readily construct an objective function so that solving the resulting linear program over Q decides whether or not G has a perfect matching. With this construction, a straightforward O(n4) implementation of Edmonds’ matching algorithm using O(n2) bits of space would yield a WEF Q with O(n6logn) inequalities and variables. The construction is uniform in the sense that, for each n, a single polytope is defined for the class of all graphs with n nodes. The method extends to solve polynomial time optimization problems, such as the weighted matching problem. In this case a logarithmic (in the weight of the optimum solution) number of optimizations are made over the constructed WEF.