English

Asymptotic variance of the Beurling transform

Complex Variables 2016-01-15 v4

Abstract

We study the interplay between infinitesimal deformations of conformal mappings, quasiconformal distortion estimates and integral means spectra. By the work of McMullen, the second derivative of the Hausdorff dimension of the boundary of the image domain is naturally related to asymptotic variance of the Beurling transform. In view of a theorem of Smirnov which states that the dimension of a kk-quasicircle is at most 1+k21+k^2, it is natural to expect that the maximum asymptotic variance Σ2=1\Sigma^2 = 1. In this paper, we prove 0.87913Σ210.87913 \le \Sigma^2 \le 1. For the lower bound, we give examples of polynomial Julia sets which are kk-quasicircles with dimensions 1+0.87913k21+ 0.87913 \, k^2 for kk small, thereby showing that Σ20.87913\Sigma^2 \ge 0.87913. The key ingredient in this construction is a good estimate for the distortion kk, which is better than the one given by a straightforward use of the λ\lambda-lemma in the appropriate parameter space. Finally, we develop a new fractal approximation scheme for evaluating Σ2\Sigma^2 in terms of nearly circular polynomial Julia sets.

Keywords

Cite

@article{arxiv.1502.00459,
  title  = {Asymptotic variance of the Beurling transform},
  author = {Kari Astala and Oleg Ivrii and Antti Perälä and István Prause},
  journal= {arXiv preprint arXiv:1502.00459},
  year   = {2016}
}

Comments

45 pages

R2 v1 2026-06-22T08:18:57.052Z