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Stochastic modelling of fractal diffusion and dimension estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F22%3A00359821" target="_blank" >RIV/68407700:21340/22:00359821 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.physa.2022.127624" target="_blank" >https://doi.org/10.1016/j.physa.2022.127624</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.physa.2022.127624" target="_blank" >10.1016/j.physa.2022.127624</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stochastic modelling of fractal diffusion and dimension estimation

  • Original language description

    The revision of classical methods for spectral and walk dimension estimates is the main aim of the paper. Being focused on the unbiased estimation of the walk and spectral dimensions, we aim to construct the estimates with the minimal mean square error. Accompanied simulation experiments are performed on finite substrates, spacial structures serving as a good model of both continuum and fractal sets. We compare the classical approach based on the log-log transform of asymptotic models of returning probabilities and the second moments, and we also develop a weighted approach to improve the statistical properties of dimension estimates. The other discussed aspect is whether to simulate diffusion using the classical graph diffusion model with zero probability of staying in the same vertex or to prefer the physically motivated model of diffusion over edges with the optimal value of jump probability. Finally, we present the results of simulation experiments on two-dimensional finite substrates which approximate the continuum and selected Sierpinski gaskets and carpets. The paper also summarises general suggestions based on the obtained results from the simulation experiments.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physica A: Statistical Mechanics and Its Applications

  • ISSN

    0378-4371

  • e-ISSN

    1873-2119

  • Volume of the periodical

    602

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000830512800005

  • EID of the result in the Scopus database

    2-s2.0-85131450048