A least-squares space-time approach for parabolic equations
Numerical Analysis
2025-08-22 v2 Numerical Analysis
Abstract
We propose a least squares formulation for abstract parabolic equations in the natural norm which only relies on natural regularity assumptions on the data of the problem. The resulting bilinear form then is symmetric, coercive and continuous. We provide two space-time Galerkin frameworks for the numerical approximation. The first one uses a conformal discretization of the underlying bilinear system and relies on the fact that the norm of basis functions can be evaluated exactly. The second approach is nonconforming an replaces the evaluation of the norm by a discrete pendant. We prove convergence for both approaches and illustrate our analytical findings by selected numerical experiments.
Keywords
Cite
@article{arxiv.2305.03402,
title = {A least-squares space-time approach for parabolic equations},
author = {Michael Hinze and Christian Kahle and Michael Stahl},
journal= {arXiv preprint arXiv:2305.03402},
year = {2025}
}