Second-order L1L^{1} convergence of the finite element approximation

Let H=L1([xmin,xmax],R+)H=L^{1}([x_{\min},x_{\max}],\mathbb{R}_{+}), let HNH^{N} be the piecewise-constant approximation space generated by the basis functions βiN\beta_i^N, and let fN(t,x)f^{N}(t,x) solve the projected finite-dimensional approximation of the Smoluchowski coagulation equation. For time nodes tkt_k and spatial domain X\boldsymbol{X}, second-order convergence conjecture. The approximate solution, fN(tk,x)f^{N}(t_{k},x), converges to the analytical solution with order 22 in L1[X]L^{1}[\boldsymbol{X}]. This conjecture is motivated by numerical experiments and reported superconvergence results for discontinuous Galerkin methods; an analytical investigation is left for future work.

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Primary source

Dustin D. Keck and David M. Bortz, “Numerical simulation of solutions and moments of the smoluchowski coagulation equation”, arXiv:1312.7240 (2013).

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