Recovering multiple fractional orders in time-fractional diffusion in an unknown medium

In this work, we investigate an inverse problem of recovering multiple orders in a time-fractional diffusion model from the data observed at one single point on the boundary. We prove the unique recovery of the orders together with their weights, which does not require a full knowledge of the domain or medium properties, e.g. diffusion and potential coefficients, initial condition and source in the model. The proof is based on Laplace transform and asymptotic expansion. Furthermore, inspired by the analysis, we propose a numerical procedure for recovering these parameters based on a nonlinear least-squares fitting with either fractional polynomials or rational approximations as the model function, and provide numerical experiments to illustrate the approach for small time t.

Automated summary

This study investigates an inverse problem of recovering multiple orders in a time-fractional diffusion model from data observed at a single point on the boundary. The unique recovery of the orders and weights is proven without needing full knowledge of domain or medium properties. The proof is based on Laplace transform and asymptotic expansion, and a numerical procedure for recovering these parameters is proposed based on nonlinear least-squares fitting.