Employing nonresonant step sizes for time integration of highly oscillatory nonlinear Dirac equations

Abstract In the nonrelativistic limit regime, nonlinear Dirac equations involve a small parameter $\varepsilon>0$ which induces rapid temporal oscillations with frequency proportional to $\varepsilon ^{-2}$. Efficient time integrators are challenging to construct, since their accuracy has to be independent of $\varepsilon $ or improve with smaller values of $\varepsilon $. Yongyong Cai and Yan Wang have presented a nested Picard iterative integrator (NPI-2), which is a uniformly accurate second-order scheme. We propose a novel method called the nonresonant nested Picard iterative integrator (NRNPI), which takes advantage of cancelation effects in the global error to significantly simplify the NPI-2. We prove that for nonresonant step sizes $\tau \geq \frac{\pi }{4} \varepsilon ^{2}$, the NRNPI has the same accuracy as the NPI-2 and is thus more efficient. Moreover, we show that for arbitrary $\tau < \frac{\pi }{4} \varepsilon ^{2}$, the error decreases proportionally to $\varepsilon ^{2} \tau $. We provide numerical experiments to illustrate the error behavior as well as the efficiency gain.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2025-10-08
DOI
https://doi.org/10.1093/imanum/draf085
Primary Topic
Numerical methods for differential equations
Type
article
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article

Employing nonresonant step sizes for time integration of highly oscillatory nonlinear Dirac equations

Michael Kirn, Tobias Jahnke
IMA Journal of Numerical Analysis
Numerical methods for differential equations
article

Employing nonresonant step sizes for time integration of highly oscillatory nonlinear Dirac equations

Michael Kirn, Tobias Jahnke
article en

Abstract

Abstract In the nonrelativistic limit regime, nonlinear Dirac equations involve a small parameter $\varepsilon>0$ which induces rapid temporal oscillations with frequency proportional to $\varepsilon ^{-2}$. Efficient time integrators are challenging to construct, since their accuracy has to be independent of $\varepsilon $ or improve with smaller values of $\varepsilon $. Yongyong Cai and Yan Wang have presented a nested Picard iterative integrator (NPI-2), which is a uniformly accurate second-order scheme. We propose a novel method called the nonresonant nested Picard iterative integrator (NRNPI), which takes advantage of cancelation effects in the global error to significantly simplify the NPI-2. We prove that for nonresonant step sizes $\tau \geq \frac{\pi }{4} \varepsilon ^{2}$, the NRNPI has the same accuracy as the NPI-2 and is thus more efficient. Moreover, we show that for arbitrary $\tau < \frac{\pi }{4} \varepsilon ^{2}$, the error decreases proportionally to $\varepsilon ^{2} \tau $. We provide numerical experiments to illustrate the error behavior as well as the efficiency gain.

IMA Journal of Numerical Analysis
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 59%
Numerical methods for differential equations
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Employing nonresonant step sizes for time integration of highly oscillatory nonlinear Dirac equations — Michael Kirn, Tobias Jahnke · IMA Journal of Numerical Analysis (2025) | TGRS Research Map | TGRS