A center transversal theorem for an improved Rado depth

Abstract

A celebrated result of Dol'nikov, and of Zivaljevi\'c and Vre\'cica, asserts that for every collection of m measures μ1,…,μm on the Euclidean space Rn + m - 1 there exists a projection onto an n-dimensional vector subspace with a point in it at depth at least 1n + 1 with respect to each associated n-dimensional marginal measure *μ1,…,*μm. In this paper we consider a natural extension of this result and ask for a minimal dimension of a Euclidean space in which one can require that for any collection of m measures there exists a vector subspace with a point in it at depth slightly greater than 1n + 1 with respect to each n-dimensional marginal measure. In particular, we prove that if the required depth is 1n + 1 + 13(n + 1)3 then the increase in the dimension of the ambient space is a linear function in both m and n.

0

Turn this paper into a lesson

ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…