Interpolation of Random Hyperplanes

Abstract

Let (Zi,Wi):i=1,...,n be uniformly distributed in [0,1]d * G(k,d), where G(k,d) denotes the space of k-dimensional linear subspaces of Rd. For a differentiable function f from [0,1]k to [0,1]d we say that f interpolates (z,w) in [0,1]d * G(k,d) if there exists x in [0,1]k such that f(x) = z and vecf(x) = w, where vecf(x) denotes the tangent space at x defined by f. For a smoothness class F of H\"older type, we obtain probability bounds on the maximum number of points a function f in F interpolates.

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…