Fourier spectra of measures associated with algorithmically random Brownian motion

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,...

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Main Authors: Willem Louw Fouché, Safari Mukeru, George Davie
Format: Article
Language:English
Published: Logical Methods in Computer Science e.V. 2014-09-01
Series:Logical Methods in Computer Science
Subjects:
Online Access:https://lmcs.episciences.org/819/pdf
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author Willem Louw Fouché
Safari Mukeru
George Davie
author_facet Willem Louw Fouché
Safari Mukeru
George Davie
author_sort Willem Louw Fouché
collection DOAJ
description 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.
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spelling doaj.art-bfb8f0c9198348468ab2784caa2a74942024-03-08T09:37:13ZengLogical Methods in Computer Science e.V.Logical Methods in Computer Science1860-59742014-09-01Volume 10, Issue 310.2168/LMCS-10(3:20)2014819Fourier spectra of measures associated with algorithmically random Brownian motionWillem Louw FouchéSafari MukeruGeorge DavieIn 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.https://lmcs.episciences.org/819/pdfcomputer science - computational complexity
spellingShingle Willem Louw Fouché
Safari Mukeru
George Davie
Fourier spectra of measures associated with algorithmically random Brownian motion
Logical Methods in Computer Science
computer science - computational complexity
title Fourier spectra of measures associated with algorithmically random Brownian motion
title_full Fourier spectra of measures associated with algorithmically random Brownian motion
title_fullStr Fourier spectra of measures associated with algorithmically random Brownian motion
title_full_unstemmed Fourier spectra of measures associated with algorithmically random Brownian motion
title_short Fourier spectra of measures associated with algorithmically random Brownian motion
title_sort fourier spectra of measures associated with algorithmically random brownian motion
topic computer science - computational complexity
url https://lmcs.episciences.org/819/pdf
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AT safarimukeru fourierspectraofmeasuresassociatedwithalgorithmicallyrandombrownianmotion
AT georgedavie fourierspectraofmeasuresassociatedwithalgorithmicallyrandombrownianmotion