Maximum Probability of Independence in Transitive Matroids

Abstract

Let M be a matroid on a finite ground set E, and suppose that the automorphism group of M acts transitively on E. We show the following: if X1,…,XK are sampled independently from a distribution p on E, then the probability that the samples are distinct and that \X1,…,XK\ is an independent set in M is quasi-concave in p and maximized when p is uniform. As a corollary, for a random K× N matrix over a finite field whose rows are sampled independently from an arbitrary distribution on nonzero projective row classes, the uniform distribution on projective space maximizes the probability of full row rank. In this particular case we also establish the uniqueness of the maximizer and global quadratic stability, while a simple example illustrates that uniqueness and stability need not hold for arbitrary transitive matroids.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…