Search arXiv⌕ Search

arXiv · 2610.27715

Multi-time-stepping splitting scheme with mass lumping for the multiscale wave equation

Abstract

Efficient simulation of wave propagation in high-contrast media is challenging because standard explicit schemes are subject to severe time-step restrictions induced by fine spatial scales and fast multiscale modes, whereas fully implicit schemes require costly globally coupled solves. In this work, we develop a mass-lumped multi-time-stepping partially explicit splitting method for multiscale wave equations. Based on a nonlocal multicontinuum (NLMC) decomposition of the approximation space, the solution is separated into contrast-dependent fast components and contrast-independent slow components, which are advanced implicitly and explicitly, respectively. A mass-lumping approximation diagonalizes the coarse-scale mass operator and removes the coupling between two subproblems, thus enabling multirate time integration for the two parts. To further improve efficiency, we introduce a residual-based adaptive strategy that dynamically adjusts the time step of the explicitly treated subsystem according to its temporal error indicator. The proposed scheme is shown to be energy stable under suitable assumptions. Numerical experiments demonstrate that the proposed mass-lumped multi-time-stepping scheme substantially reduces computational cost while maintaining accuracy comparable to that of standard fully implicit methods.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yating Wang, Wing Tat Leung, Zhengya Yang, Shufan Li. 2026-10-20. Multi-time-stepping splitting scheme with mass lumping for the multiscale wave equation. https://arxiv.org/abs/2610.27715

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Fast Multipole Method with Complex Coordinates

When solving problems of potential theory in unbounded layered media, recently developed integral equation methods rely on coordinate complexification to permit truncation of the computational domain while retaining high order accuracy. As a result, classical fast multipole methods (FMMs) cannot be used to accelerate the evaluation of layer potentials. In this paper, we present a variant of the FMM which applies when the source and target locations have complex coordinates in two and three dimensions. This complex coordinate FMM is based on the analytic continuation of the various special function identities used in the real-space setting. To achieve the same linear-time complexity as in the classical FMM, we construct a hierarchical tree based solely on the real parts of the complex point locations and derive convergence rates for truncated expansions when the imaginary parts of the locations depend Lipschitz-continuously on the corresponding real parts. We demonstrate the efficiency of our approach through several numerical examples and illustrate its application to solving large-scale linearized water wave problems and Helmholtz transmission problems.

math.NA↗

A survey of sampling discretization of integral and uniform norms

This paper surveys recent developments in the sampling discretization of integral and uniform norms for functions in general finite-dimensional spaces. These results generalize the classical Marcinkiewicz-Zygmund inequalities for trigonometric and algebraic polynomials, which play a crucial role in Fourier analysis, interpolation, and approximation theory. We focus on the problem in the broad context of finite-dimensional subspaces, where norms defined by general probability measures are approximated by their discrete counterparts. The primary emphasis is on results closely related to the authors' recent research. A key objective is to highlight the main ideas and techniques that form the foundation of the proofs in this area. This survey serves as a complement to three recently published survey papers on sampling discretization \cite{DPTT, KKLT, LMT}.

math.NA↗

Dirichlet-Neumann waveform relaxation for heterogeneous heat equations: continuous and time discrete L2 analysis

We consider two coupled linear heat equations on different spatial domains that interact through a lower dimensional interface. This models conjugate heat transfer. The problem is solved using Dirichlet--Neumann waveform relaxation. This allows us to couple separate codes for the subproblems, a so-called partitioned approach. Our overall goal is to develop more efficient partitioned methods, and to this end, we want reliable error estimates. We use an exponentially weighted Fourier technique to derive new error estimates in $L^2$ for finite time $T$ in both continuous and time-discrete settings. We identify an optimized relaxation parameter that guarantees superlinear convergence. Our new continuous estimate predicts linear convergence when $k^2/T$ is small, and superlinear when $k^2/T$ is large, with $k$ the iteration index. Our new time-discrete estimate closely mirrors its continuous counterpart for small $Δt$. Otherwise, we obtain linear convergence for large $k$. We also show that convergence is fast when the contrast is large, provided that the small physical parameter domain (e.g. air) is using the Dirichlet transmission condition, and the large physical parameter domain (e.g. steel) is using the Neumann transmission condition in the Dirichlet-Neumann waveform relaxation method. Numerical experiments confirm these findings, and we demonstrate the relevance on the analysis for a nonlinear conjugate heat transfer test case.

math.NA↗