496 research outputs found

    Diffusion on middle-ξ\xi Cantor sets

    Full text link
    In this paper, we study CζC^{\zeta}-calculus on generalized Cantor sets, which have self-similar properties and fractional dimensions that exceed their topological dimensions. Functions with fractal support are not differentiable or integrable in terms of standard calculus, so we must involve local fractional derivatives. We have generalized the CζC^{\zeta}-calculus on the generalized Cantor sets known as middle-ξ\xi Cantor sets. We have suggested a calculus on the middle-ξ\xi Cantor sets for different values of ξ\xi with 0<ξ<10<\xi<1. Differential equations on the middle-ξ\xi Cantor sets have been solved, and we have presented the results using illustrative examples. The conditions for super-, normal, and sub-diffusion on fractal sets are given.Comment: 15 pages, 11 figure

    Anomalous diffusion on a fractal mesh

    Full text link
    An exact analytical analysis of anomalous diffusion on a fractal mesh is presented. The fractal mesh structure is a direct product of two fractal sets which belong to a main branch of backbones and side branch of fingers. The fractal sets of both backbones and fingers are constructed on the entire (infinite) yy and xx axises. To this end we suggested a special algorithm of this special construction. The transport properties of the fractal mesh is studied, in particular, subdiffusion along the backbones is obtained with the dispersion relation ⟨x2(t)⟩∼tβ\langle x^2(t)\rangle\sim t^{\beta}, where the transport exponent β<1\beta<1 is determined by the fractal dimensions of both backbone and fingers. Superdiffusion with β>1\beta>1 has been observed as well when the environment is controlled by means of a memory kernel

    Fourier spectra of measures associated with algorithmically random Brownian motion

    Full text link
    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.Comment: 24 page
    • …
    corecore