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      A uniformly accurate (UA) multiscale time integrator pseudospectral method for the Dirac equation in the nonrelativistic limit regime

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          Abstract

          We propose and rigourously analyze a multiscale time integrator Fourier pseudospectral (MTI-FP) method for the Dirac equation with a dimensionless parameter \(\varepsilon\in(0,1]\) which is inversely proportional to the speed of light. In the nonrelativistic limit regime, i.e. \(0<\varepsilon\ll 1\), the solution exhibits highly oscillatory propagating waves with wavelength \(O(\varepsilon^2)\) and \(O(1)\) in time and space, respectively. Due to the rapid temporal oscillation, it is quite challenging in designing and analyzing numerical methods with uniform error bounds in \(\varepsilon\in(0,1]\). We present the MTI-FP method based on properly adopting a multiscale decomposition of the solution of the Dirac equation and applying the exponential wave integrator with appropriate numerical quadratures. By a careful study of the error propagation and using the energy method, we establish two independent error estimates via two different mathematical approaches as \(h^{m_0}+\frac{\tau^2}{\varepsilon^2}\) and \(h^{m_0}+\tau^2+\varepsilon^2\), where \(h\) is the mesh size, \(\tau\) is the time step and \(m_0\) depends on the regularity of the solution. These two error bounds immediately imply that the MTI-FP method converges uniformly and optimally in space with exponential convergence rate if the solution is smooth, and uniformly in time with linear convergence rate at \(O(\tau)\) for all \(\varepsilon\in(0,1]\) and optimally with quadratic convergence rate at \(O(\tau^2)\) in the regimes when either \(\varepsilon=O(1)\) or \(0<\varepsilon\lesssim \tau\). Numerical results are reported to demonstrate that our error estimates are optimal and sharp. Finally, the MTI-FP method is applied to study numerically the convergence rates of the solution of the Dirac equation to those of its limiting models when \(\varepsilon\to0^+\).

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          Author and article information

          Journal
          2015-07-15
          2016-01-18
          Article
          1507.04103
          deb12a35-e390-4bcc-9d56-31720f6eb14c

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          25 pages, 1 figure
          math.NA

          Numerical & Computational mathematics
          Numerical & Computational mathematics

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