L1 scheme for solving an inverse problem subject to a fractional diffusion equation

06/08/2020
by   Binjie Li, et al.
0

This paper considers the temporal discretization of an inverse problem subject to a time fractional diffusion equation. Firstly, the convergence of the L1 scheme is established with an arbitrary sectorial operator of spectral angle < π/2, that is the resolvent set of this operator contains {z∈ℂ∖{0}: |Arg z|< θ} for some π/2 < θ < π. The relationship between the time fractional order α∈ (0, 1) and the constants in the error estimates is precisely characterized, revealing that the L1 scheme is robust as α approaches 1. Then an inverse problem of a fractional diffusion equation is analyzed, and the convergence analysis of a temporal discretization of this inverse problem is given. Finally, numerical results are provided to confirm the theoretical results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/30/2019

Numerical analysis of a semilinear fractional diffusion equation

This paper considers the numerical analysis of a semilinear fractional d...
research
09/15/2019

An L1 approximation for a fractional reaction-diffusion equation, a second-order error analysis over time-graded meshes

A time-stepping L1 scheme for subdiffusion equation with a Riemann–Liouv...
research
10/05/2019

Regularization of a backwards parabolic equation by fractional operators

The backwards diffusion equation is one of the classical ill-posed inver...
research
12/03/2021

Matlab program method of computing Carleman estimates and applications

In this paper, we introduce a Matlab program method to compute Carleman ...
research
04/04/2020

Convergence analysis of pixel-driven Radon and fanbeam transforms

This paper presents a novel mathematical framework for understanding pix...
research
06/02/2021

An inverse random source problem for the time-space fractional diffusion equation driven by fractional Brownian motion

We study the inverse random source problem for the time-space fractional...

Please sign up or login with your details

Forgot password? Click here to reset