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arXiv 2012-12-17 0 views

Graph Products Revisited: Tight Approximation Hardness of Induced Matching, Poset Dimension and More

Chalermsook, Parinya · Laekhanukit, Bundit · Nanongkai, Danupon

Original · EN

Graph product is a fundamental tool with rich applications in both graph theory and theoretical computer science. It is usually studied in the form f(G*H) where G and H are graphs, * is a graph product and f is a graph property. For example, if f is the independence number and * is the disjunctive product, then the product is known to be multiplicative: f(G*H)=f(G)f(H). In this paper, we study graph products in the following non-standard form: f((G⊕ H)*J) where G, H and J are graphs, ⊕ and * are two different graph products and f is a graph property. We show that if f is the induced and semi-induced matching number, then for some products ⊕ and *, it is subadditive in the sense that f((G⊕ H)*J)≤ f(G*J)+f(H*J). Moreover, when f is the poset dimension number, it is almost subadditive. As applications of this result (we only need J=K₂ here), we obtain tight hardness of approximation for various problems in discrete mathematics and computer science: bipartite induced and semi-induced matching (a.k.a. maximum expanding sequences), poset dimension, maximum feasible subsystem with 0/1 coefficients, unit-demand min-buying and single-minded pricing, donation center location, boxicity, cubicity, threshold dimension and independent packing.

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