Stochastic solutions to abstract telegraph-type equations involving fractional dynamics
Alessandro De Gregorio, Roberto Garra

TL;DR
This paper develops new analytical and stochastic representations for abstract telegraph-type equations with fractional derivatives, capturing anomalous and non-Markovian dynamics in various phenomena.
Contribution
It introduces generalized solutions for time-fractional and singular-coefficient telegraph equations using spectral theory and fractional integrals, extending existing results.
Findings
Derived analytical representations for fractional telegraph equations
Provided stochastic solutions for specific fractional parameters
Connected solutions of Euler-Poisson-Darboux and wave equations
Abstract
This paper investigates abstract integro-differential hyperbolic equations, focusing on the probabilistic representation of their solutions. Our analysis is based on fractional derivatives and non-local operators, which are powerful tools for modeling the anomalous behavior and non-Markovian dynamics observed in various phenomena. We first analyze a time-fractional version of the abstract telegraph equation (involving the Caputo derivative), restricting our analysis to positive self-adjoint operators to leverage spectral theory, which includes key operators in applications, such as the fractional Laplace operator. We derive analytical representations for the solution and provide a stochastic solution to the telegraph-diffusion equation for a specific range of the fractional parameter , thereby generalizing existing results. We discuss particular cases involving the fractional…
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Taxonomy
TopicsFractional Differential Equations Solutions · Nonlinear Differential Equations Analysis · Stochastic processes and financial applications
