
TL;DR
This paper investigates the regularity of a function derived from Bernoulli convolutions, revealing phase transitions in differentiability depending on the parameter lambda.
Contribution
It provides conditions for smoothness and non-smoothness of the function related to Bernoulli convolutions and describes a phase transition in differentiability.
Findings
Function is almost nowhere differentiable for small lambda.
Function is almost everywhere differentiable for large lambda.
Describes phase transition in regularity based on lambda.
Abstract
Let be the Bernoulli convolution measure with parameter . We study the regularity of the function %We prove that for H\"older observables . We describe sufficient conditions for both smoothness and non smoothness of this function. In particular, we show that for almost every function with respect to certain Wiener like measures on , exhibits a phase transition: it is almost nowhere differentiable for small and it is almost everywhere differentiable for large
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.
