Asymptotic Variance of the Beurling Transform

Kari Astala, Oleg Ivrii*, Antti Perälä, István Prause

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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 k-quasicircle is at most 1+k2, it is natural to expect that the maximum asymptotic variance Σ2=1. In this paper, we prove (Formula presented.). For the lower bound, we give examples of polynomial Julia sets which are k-quasicircles with dimensions (Formula presented.) for k small, thereby showing that Σ2≥0.87913. The key ingredient in this construction is a good estimate for the distortion k, which is better than the one given by a straightforward use of the λ-lemma in the appropriate parameter space. Finally, we develop a new fractal approximation scheme for evaluating Σ2 in terms of nearly circular polynomial Julia sets.

Original languageEnglish
Pages (from-to)1647-1687
Number of pages41
JournalGeometric and Functional Analysis
Volume25
Issue number6
DOIs
StatePublished - 1 Dec 2015
Externally publishedYes

Funding

FundersFunder number
National Science Foundation

    Keywords

    • Asymptotic variance
    • Bergman projection
    • Beurling transform
    • Bloch space
    • Hausdorff dimension
    • Julia set
    • Quasiconformal map

    Fingerprint

    Dive into the research topics of 'Asymptotic Variance of the Beurling Transform'. Together they form a unique fingerprint.

    Cite this