Langevin Equation on Fractal Curves
Seema Satin, A.D.Gangal

TL;DR
This paper develops a Langevin equation framework for modeling particle motion on fractal curves, incorporating fractal geometry via $F^eta$-Calculus, and provides solutions for this novel stochastic process.
Contribution
It introduces a Langevin equation tailored for fractal curves using $F^eta$-Calculus, linking fractal geometry with stochastic dynamics in a new way.
Findings
Derived a Langevin equation specific to fractal curves
Solved the equation using $F^eta$-Calculus techniques
Highlighted the influence of fractal geometry on particle motion
Abstract
We analyse a random motion of a particle on a fractal curve, using Langevin approach. This involves defining a new velocity in terms of mass of the fractal curve, as defined in recent work. The geometry of the fractal curve, hence plays an important role in this analysis. A Langevin equation with a particular noise model is thus proposed and solved using techniques of the newly developed -Calculus .
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Taxonomy
TopicsTheoretical and Computational Physics · Statistical Mechanics and Entropy · Fractional Differential Equations Solutions
