Seminars & Colloquia Calendar
Solving Linear Programs without Breaking Abstractions
Matt Anderson: Union College
Location: CoRE 301
Date & time: Wednesday, 22 March 2017 at 11:00AM - 11:11AM
In particular, we demonstrate that the solvability of linear programs can be expressed in fixed-point logic with counting (FPC) as long as the program is given by a separation oracle that is itself definable in FPC. We use this to show that the size of a maximum matching in a graph is definable in FPC. This refutes a conjecture first posed by Blass, Gurevich and Shelah (1999). On the way to defining a suitable separation oracle for the maximum matching program, we provide FPC formulas defining canonical maximum flows and minimum cuts in undirected weighted graphs.
This is joint work with Anuj Dawar.