• Fractal differential equations and fractal-time dynamical systems

• # Fulltext

https://www.ias.ac.in/article/fulltext/pram/064/03/0389-0409

• # Keywords

Fractal-time dynamical systems; fractal differential equations; fractal calculus; Cantor functions; subdiffusion; fractal-time relaxations

• # Abstract

Differential equations and maps are the most frequently studied examples of dynamical systems and may be considered as continuous and discrete time-evolution processes respectively. The processes in which time evolution takes place on Cantor-like fractal subsets of the real line may be termed as fractal-time dynamical systems. Formulation of these systems requires an appropriate framework. A new calculus calledFα-calculus, is a natural calculus on subsetsF⊂ R of dimension α,0 &lt; α ≤ 1. It involves integral and derivative of order α, calledFα-integral andFα-derivative respectively. TheFα-integral is suitable for integrating functions with fractal support of dimension α, while theFα-derivative enables us to differentiate functions like the Cantor staircase. The functions like the Cantor staircase function occur naturally as solutions ofFα-differential equations. Hence the latter can be used to model fractal-time processes or sublinear dynamical systems.

We discuss construction and solutions of some fractal differential equations of the form$$D_{F,t}^\alpha x = h(x,t),$$ whereh is a vector field andDF,tα is a fractal differential operator of order α in timet. We also consider some equations of the form$$D_{F,t}^\alpha W(x,t) = L[W(x,t)],$$ whereL is an ordinary differential operator in the real variablex, and(t,x)F × Rn whereF is a Cantor-like set of dimension α.

Further, we discuss a method of finding solutions toFα-differential equations: They can be mapped to ordinary differential equations, and the solutions of the latter can be transformed back to get those of the former. This is illustrated with a couple of examples.

• # Author Affiliations

1. Department of Physics, University of Pune, Pune - 411 007, India
2. Centre for Modeling and Simulation, University of Pune, Pune - 411 007, India

• # Editorial Note on Continuous Article Publication

Posted on July 25, 2019