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<p>Structured finite element methods (FEMs) based on low-rank approximation in the form of the so-called <i>quantized tensor train (QTT)</i> decomposition (QTT-FEM) have been proposed and extensively studied in the case of elliptic equations. In this work, we design a QTT-FE method for time-domain acoustic wave equations, combining stable low-rank approximation in space with a suitable conservative discretization in time. For the acoustic wave equation with a homogeneous source term in a single space dimension as a model problem, we consider its reformulation as a first-order system in time. In space, we employ a low-rank QTT-FEM discretization based on continuous piecewise linear finite elements corresponding to uniformly refined nested meshes. Time integration is performed using symplectic high-order Gauss–Legendre Runge–Kutta methods. In our numerical experiments, we investigate the energy conservation and exponential convergence of the proposed method.</p>

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Symplectic QTT-FEM solution of the one-dimensional acoustic wave equation in the time domain

  • 期刊论文

  • 发表日期：

    2026年7月28日

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  • Sara Fraschini,
  • Vladimir Kazeev,
  • Ilaria Perugia

摘要

Structured finite element methods (FEMs) based on low-rank approximation in the form of the so-called quantized tensor train (QTT) decomposition (QTT-FEM) have been proposed and extensively studied in the case of elliptic equations. In this work, we design a QTT-FE method for time-domain acoustic wave equations, combining stable low-rank approximation in space with a suitable conservative discretization in time. For the acoustic wave equation with a homogeneous source term in a single space dimension as a model problem, we consider its reformulation as a first-order system in time. In space, we employ a low-rank QTT-FEM discretization based on continuous piecewise linear finite elements corresponding to uniformly refined nested meshes. Time integration is performed using symplectic high-order Gauss–Legendre Runge–Kutta methods. In our numerical experiments, we investigate the energy conservation and exponential convergence of the proposed method.