Integral means spectrum of random conformal snowflakes
classification
🧮 math.CV
math.PR
keywords
spectrumconformalestimatesintegralmeansrandomsnowflakesuniversal
read the original abstract
In this paper we construct random conformal snowflakes with large integral means spectrum at different points. These new estimates are significant improvement over previously known lower bound of the universal spectrum. Our estimates are within 5-10 percent from the conjectured value of the universal spectrum.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.