Multilinear generalized Radon transforms and point configurations

By Loukas Grafakos, Allan Greenleaf, Alex Iosevich, Eyvindur A. Palsson. 2012

55 citations recorded by the source corpus.

We study multilinear generalized Radon transforms using a graph-theoretic paradigm that includes the widely studied linear case. These provide a general mechanism to study Falconer-type problems involving $(k+1)$-point configurations in geometric measure theory, with $k \ge 2$, including the distribution of simplices, volumes and angles determined by the points of fractal subsets $E \subset {\Bbb R}^d$, $d \ge 2$. If $T_k(E)$ denotes the set of noncongruent $(k+1)$-point configurations determined by $E$, we show that if the Hausdorff dimension of $E$ is greater than $d-\frac{d-1}{2k}$, then the ${k+1 \choose 2}$-dimensional Lebesgue measure of $T_k(E)$ is positive. This compliments previous work on the Falconer conjecture (\cite{Erd05} and the references there), as well as work on finite point configurations \cite{EHI11,GI10}. We also give applications to Erd\"os-type problems in discrete geometry and a fractal regular value theorem, providing a multilinear framework for the results in \cite{EIT11}.

Subfields: Applied Mathematics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fe198cb91eb029f43e4568b0b4ed442a5c465fd4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

  1. Alex Iosevich
  2. Eyvindur A. Palsson
  3. B. Liu
  4. Allan Greenleaf

In Computational Theory and Mathematics

  1. Allan Greenleaf
  2. Gunther Uhlmann

In Computer Vision and Pattern Recognition

  1. Alex Iosevich

Citations in the corpus