Aubin--Nitsche-type estimates for space-time FOSLS for parabolic PDEs
Thomas Führer, Gregor Gantner
TL;DR
The paper develops Aubin--Nitsche-type (dual-based) $L^2(Q)$ error estimates for space-time first-order system least-squares (FOSLS) discretizations of the heat equation, showing that the $L^2$ error in the scalar variable can converge faster than the energy-like $U$-norm error under convexity and smooth data. It builds a commuting-diagram framework with specialized interpolation operators to obtain a bound of the form $\|u-u_h\|_{L^2(Q)} \lesssim \gamma(h)\|\boldsymbol{u}-\boldsymbol{u}_h\|_U$, plus a higher-order conservation bound for $\operatorname{div}_{t,\boldsymbol{x}}\boldsymbol{u}_h$ and a quasi-optimality result in a weaker norm via a projected data operator $\mathcal{Q}$. A detailed proof structure includes dual and primal-dual problems, and a careful use of interpolation-projection properties to achieve the bounds, with numerical experiments in 1D and 2D validating the predicted rates for smooth and non-smooth data. The results enhance understanding of how space-time FOSLS for parabolic PDEs can deliver higher accuracy in $L^2$-based quantities and inform practical choices for mesh-time refinement. Overall, the work strengthens the theoretical foundation and provides computational guidance for high-accuracy parabolic FOSLS methods.
Abstract
We develop Aubin--Nitsche-type estimates for recently proposed first-order system least-squares finite element methods (FOSLS) for the heat equation. Under certain assumptions, which are satisfied if the spatial domain is convex and the heat source and initial datum are sufficiently smooth, we prove that the $L^2$ error of approximations of the scalar field variable converges at a higher rate than the overall error. Furthermore, a higher-order conservation property is shown. In addition, we discuss quasi-optimality in weaker norms. Numerical experiments confirm our theoretical findings.
