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Modeling stochastic Langevin dynamics in fractal dimensions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F25%3A43910088" target="_blank" >RIV/60076658:12310/25:43910088 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0378437125002225?pes=vor&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378437125002225?pes=vor&utm_source=clarivate&getft_integrator=clarivate</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.physa.2025.130570" target="_blank" >10.1016/j.physa.2025.130570</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling stochastic Langevin dynamics in fractal dimensions

  • Original language description

    The Langevin equation is a Newtonian equation describing the evolution of a dynamical system when subjected to a combination of deterministic and fluctuating or random forces. It is one of best-known stochastic differential equations in statistical physics and kinetic theory describing the motion of a complex dynamical system of particles perturbed by some white noise. This equation is usually used based on the assumption that the location of the particle at a moment depends only on its preceding location and not on that of long time before. Its solution is of Markov property that expresses a loss-memory evolution of the system. In this study, a fractal Langevin equation is proposed to study the random walks of particles exhibiting strange displacements driven by Gaussian white noise and memory kernel. Two different models have been introduced: local and nonlocal kernels. The first model is suitable to describe subdiffusion, whereas the second model, the dynamics exhibit random oscillations that show considerable fluctuations in frequency and amplitude. Our models show that the stochastic oscillation arises from a fractal random walk process, and prove the relevance of fractals in stochastic anomalous random walk processes. Additional features have been discussed. Pacs classification: 05.40.Fb;

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • 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

    667

  • Issue of the periodical within the volume

    JUN 1 2025

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    25

  • Pages from-to

    nestránkováno

  • UT code for WoS article

    001462291000001

  • EID of the result in the Scopus database

    2-s2.0-105001587367