A semidefinite programming approach to a cross-intersection problem with measures
Abstract
We present a semidefinite programming approach to bound the measures of cross-independent pairs in a bipartite graph. This can be viewed as a far-reaching extension of Hoffman's ratio bound on the independence number of a graph. As an application, we solve a problem on the maximum measures of cross-intersecting families of subsets with two different product measures, which is a generalized measure version of the Erdos-Ko-Rado theorem for cross-intersecting families with different uniformities.
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