Fourier spectra of measures associated with algorithmically random
Brownian motionArticle
Authors: Willem Louw Fouché ; Safari Mukeru ; George Davie
NULL##0000-0002-8531-4935##NULL
Willem Louw Fouché;Safari Mukeru;George Davie
In this paper we study the behaviour at infinity of the Fourier transform of
Radon measures supported by the images of fractal sets under an algorithmically
random Brownian motion. We show that, under some computability conditions on
these sets, the Fourier transform of the associated measures have, relative to
the Hausdorff dimensions of these sets, optimal asymptotic decay at infinity.
The argument relies heavily on a direct characterisation, due to Asarin and
Pokrovskii, of algorithmically random Brownian motion in terms of the prefix
free Kolmogorov complexity of finite binary sequences. The study also
necessitates a closer look at the potential theory over fractals from a
computable point of view.
Computable Analysis; Funder: European Commission; Code: 294962
Bibliographic References
2 Documents citing this article
Willem L. Fouché;Safari Mukeru, 2023, On local times of Martin-Löf random Brownian motion, Theoretical Computer Science, 979, pp. 114199, 10.1016/j.tcs.2023.114199.
Safari Mukeru, 2017, The Zero Set of Fractional Brownian Motion Is a Salem Set, Journal of Fourier Analysis and Applications, 24, 4, pp. 957-999, 10.1007/s00041-017-9551-9.