Optimal error estimation of a time-spectral method for fractional diffusion problems with low regularity data

06/06/2021
by   Hao Luo, et al.
0

This paper is devoted to the error analysis of a time-spectral algorithm for fractional diffusion problems of order α (0 < α < 1). The solution regularity in the Sobolev space is revisited, and new regularity results in the Besov space are established. A time-spectral algorithm is developed which adopts a standard spectral method and a conforming linear finite element method for temporal and spatial discretizations, respectively. Optimal error estimates are derived with nonsmooth data. Particularly, a sharp temporal convergence rate 1+2α is shown theoretically and numerically.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro