Multiscale methods for solving wave equations on spatial networks

We present and analyze a multiscale method for wave propagation problems, posed on spatial networks. By introducing a coarse scale, using a finite element space interpolated onto the network, we construct a discrete multiscale space using the localized orthogonal decomposition (LOD) methodology. The spatial discretization is then combined with an energy conserving temporal scheme to form the proposed method. Under the assumption of well-prepared initial data, we derive an a priori error bound of optimal order with respect to the space and time discretization. In the analysis, we combine the theory derived for stationary elliptic problems on spatial networks with classical finite element results for hyperbolic problems. Finally, we present numerical experiments that confirm our theoretical findings. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Automated summary

We propose and analyze a multiscale method for wave propagation problems on spatial networks. By introducing a coarse scale and utilizing a finite element space interpolated onto the network, we construct a discrete multiscale space using the localized orthogonal decomposition methodology. The proposed method combines spatial discretization with an energy conserving temporal scheme, and under the assumption of well-prepared initial data, we derive an a priori error bound of optimal order with respect to space and time discretization. In addition, we present numerical experiments that validate our theoretical findings.