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Singular 0/1-matrices, and the hyperplanes spanned by random 0/1-vectors

Abstract

Let P(d)P(d) be the probability that a random 0/1-matrix of size d×dd \times d is singular, and let E(d)E(d) be the expected number of 0/1-vectors in the linear subspace spanned by d-1 random independent 0/1-vectors. (So E(d)E(d) is the expected number of cube vertices on a random affine hyperplane spanned by vertices of the cube.) We prove that bounds on P(d)P(d) are equivalent to bounds on E(d)E(d): P(d)=(2dE(d)+d22d+1)(1+o(1)). P(d) = (2^{-d} E(d) + \frac{d^2}{2^{d+1}}) (1 + o(1)). We also report about computational experiments pertaining to these numbers.Comment: 9 page

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