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Approximation Schemes for First-Order Definable Optimisation Problems
Seattle, Washington August 12-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/LICS.2006.1321st Annual IEEE Symposium on Logic i ...
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Anuj Dawar, University of Cambridge, U.K.
Martin Grohe, Humboldt-Universitat zu Berlin, Germany
Stephan Kreutzer, Humboldt-Universitat zu Berlin, Germany
Nicole Schweikardt, Humboldt-Universitat zu Berlin, Germany
Let \varphi(X) be a first-order formula in the language of graphs that has a free set variable X, and assume that X only occurs positively in \varphi(X). Then a natural minimisation problem associated with \varphi(X) is to find, in a given graph G, a vertex set S of minimum size such that G satisfies \varphi(S). Similarly, if X only occurs negatively in \varphi(X), then \varphi(X) defines a maximisation problem. Many well-known optimisation problems are first-order definable in this sense, for example, MINIMUM DOMINATING SET or MAXIMUM INDEPENDENT SET.

We prove that for each class C of graphs with excluded minors, in particular for each class of planar graphs, the restriction of a first-order definable optimisation problem to the class C has a polynomial time approximation scheme.

A crucial building block of the proof of this approximability result is a version of Gaifman?s locality theorem for formulas positive in a set variable. This result may be of independent interest.

Citation:
Anuj Dawar, Martin Grohe, Stephan Kreutzer, Nicole Schweikardt, "Approximation Schemes for First-Order Definable Optimisation Problems," lics, pp.411-420, 21st Annual IEEE Symposium on Logic in Computer Science (LICS'06), 2006
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