On Hausdorff dimensions of $k$-point configuration sets and Elekes-R\'onyai type theorems
Minh-Quy Pham

TL;DR
This paper extends the Elekes-Rónyai theorem to trivariate real analytic functions, showing that such functions either have a specific form or significantly increase the Hausdorff dimension of images of sets, with implications for geometric measure theory.
Contribution
It proves a dimension expansion version of the Elekes-Rónyai theorem for trivariate functions and improves results for bivariate functions, using advanced Fourier analysis techniques.
Findings
Dimension expansion for trivariate functions when the set dimension is between 1/2 and 1.
If the set dimension exceeds 2/3, the image has positive Lebesgue measure.
Generalization of Falconer-type results for configuration sets with positive measure.
Abstract
We prove a ''dimension expansion'' version of the Elekes-R\'onyai theorem for trivariate real analytic functions: If is a trivariate real analytic function, then is either locally of the form , or the following is true: whenever a Borel set has Hausdorff dimension , has dimension significantly larger than that of , i.e. \begin{align*} \dim_Hf(A\times A\times A)\geq \alpha+\varepsilon(\alpha),\quad \text{for some } \varepsilon(\alpha)>0, \end{align*} Moreover, if , has positive Lebesgue measure. This is a considerable extension of the result established by Koh, T. Pham, and Shen (J. Funct. Anal. 286 (2024)). We also obtain an alternative proof and an improvement for the Elekes-R\'onyai type theorem for bivariate real analytic…
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
TopicsAnalytic and geometric function theory · Holomorphic and Operator Theory · Mathematical Dynamics and Fractals
