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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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