Peer-Reviewed Journal Details
Mandatory Fields
Kopteva, N,Linss, T
2017
October
Advances In Computational Mathematics
Improved maximum-norm a posteriori error estimates for linear and semilinear parabolic equations
Published
()
Optional Fields
Parabolic problems Maximum-norm a posteriori error estimates Backward Euler Crank-Nicolson Elliptic reconstructions FEM
43
999
1022
Linear and semilinear second-order parabolic equations are considered. For these equations, we give a posteriori error estimates in the maximum norm that improve upon recent results in the literature. In particular it is shown that logarithmic dependence on the time step size can be eliminated. Semidiscrete and fully discrete versions of the backward Euler and of the Crank-Nicolson methods are considered. For their full discretizations, we use elliptic reconstructions that are, respectively, piecewise-constant and piecewise-linear in time. Certain bounds for the Green's function of the parabolic operator are also employed.
10.1007/s10444-017-9514-3
Grant Details