On the dimension of exceptional parameters for nonlinear projections, and the discretized Elekes-R\'onyai theorem
Orit E. Raz, Joshua Zahl

TL;DR
This paper develops new dimension estimates for exceptional points in nonlinear projection problems, characterizes when functions expand dimensions of sets, and extends the Elekes-Rónyai theorem using single-scale estimates and geometric analysis.
Contribution
It introduces a general single-scale nonlinear projection theorem and characterizes dimension-expanding functions, extending the Elekes-Rónyai theorem in a discretized setting.
Findings
Exceptional vantage points set must have special structure if of positive dimension.
At least one of the images under smooth functions with non-vanishing Blaschke curvature must have large measure.
Bivariate real analytic functions are either of a special form or expand the dimension of Cartesian products.
Abstract
We consider four related problems. (1) Obtaining dimension estimates for the set of exceptional vantage points for the pinned Falconer distance problem. (2) Nonlinear projection theorems, in the spirit of Kaufman, Bourgain, and Shmerkin. (3) The parallelizability of planar -webs. (4) The Elekes-R\'onyai theorem on expanding polynomials. Given a Borel set in the plane, we study the set of exceptional vantage points, for which the pinned distance has small dimension, that is, close to . We show that if this set has positive dimension, then it must have very special structure. This result follows from a more general single-scale nonlinear projection theorem, which says that if are three smooth functions whose associated 3-web has non-vanishing Blaschke curvature, and if is a -set in the sense of Katz and Tao,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Meromorphic and Entire Functions · Functional Equations Stability Results
