{"title":"采用非谐振步长对高振荡非线性狄拉克方程进行时间积分","authors":"Tobias Jahnke, Michael Kirn","doi":"10.1093/imanum/draf085","DOIUrl":null,"url":null,"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.","PeriodicalId":56295,"journal":{"name":"IMA Journal of Numerical Analysis","volume":"15 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Employing nonresonant step sizes for time integration of highly oscillatory nonlinear Dirac equations\",\"authors\":\"Tobias Jahnke, Michael Kirn\",\"doi\":\"10.1093/imanum/draf085\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":56295,\"journal\":{\"name\":\"IMA Journal of Numerical Analysis\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IMA Journal of Numerical Analysis\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1093/imanum/draf085\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMA Journal of Numerical Analysis","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1093/imanum/draf085","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Employing nonresonant step sizes for time integration of highly oscillatory nonlinear Dirac equations
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.
期刊介绍:
The IMA Journal of Numerical Analysis (IMAJNA) publishes original contributions to all fields of numerical analysis; articles will be accepted which treat the theory, development or use of practical algorithms and interactions between these aspects. Occasional survey articles are also published.