Error estimates of the time-splitting methods for the nonlinear Schrödinger equation with semi-smooth nonlinearity

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-10-04 DOI:10.1090/mcom/3900
Weizhu Bao, Chushan Wang
{"title":"Error estimates of the time-splitting methods for the nonlinear Schrödinger equation with semi-smooth nonlinearity","authors":"Weizhu Bao, Chushan Wang","doi":"10.1090/mcom/3900","DOIUrl":null,"url":null,"abstract":"We establish error bounds of the Lie-Trotter time-splitting sine pseudospectral method for the nonlinear Schrödinger equation (NLSE) with semi-smooth nonlinearity <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"f left-parenthesis rho right-parenthesis equals rho Superscript sigma\"> <mml:semantics> <mml:mrow> <mml:mi>f</mml:mi> <mml:mo stretchy=\"false\">(</mml:mo> <mml:mi>ρ<!-- ρ --></mml:mi> <mml:mo stretchy=\"false\">)</mml:mo> <mml:mo>=</mml:mo> <mml:msup> <mml:mi>ρ<!-- ρ --></mml:mi> <mml:mi>σ<!-- σ --></mml:mi> </mml:msup> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">f(\\rho ) = \\rho ^\\sigma</mml:annotation> </mml:semantics> </mml:math> </inline-formula>, where <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"rho equals StartAbsoluteValue psi EndAbsoluteValue squared\"> <mml:semantics> <mml:mrow> <mml:mi>ρ<!-- ρ --></mml:mi> <mml:mo>=</mml:mo> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mo stretchy=\"false\">|</mml:mo> </mml:mrow> <mml:mi>ψ<!-- ψ --></mml:mi> <mml:msup> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mo stretchy=\"false\">|</mml:mo> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">\\rho =|\\psi |^2</mml:annotation> </mml:semantics> </mml:math> </inline-formula> is the density with <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"psi\"> <mml:semantics> <mml:mi>ψ<!-- ψ --></mml:mi> <mml:annotation encoding=\"application/x-tex\">\\psi</mml:annotation> </mml:semantics> </mml:math> </inline-formula> the wave function and <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"sigma greater-than 0\"> <mml:semantics> <mml:mrow> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">\\sigma &gt;0</mml:annotation> </mml:semantics> </mml:math> </inline-formula> is the exponent of the semi-smooth nonlinearity. Under the assumption of <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper H squared\"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">H^2</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-solution of the NLSE, we prove error bounds at <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper O left-parenthesis tau Superscript one half plus sigma Baseline plus h Superscript 1 plus 2 sigma Baseline right-parenthesis\"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy=\"false\">(</mml:mo> <mml:msup> <mml:mi>τ<!-- τ --></mml:mi> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> <mml:mo>+</mml:mo> <mml:mi>σ<!-- σ --></mml:mi> </mml:mrow> </mml:msup> <mml:mo>+</mml:mo> <mml:msup> <mml:mi>h</mml:mi> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mn>1</mml:mn> <mml:mo>+</mml:mo> <mml:mn>2</mml:mn> <mml:mi>σ<!-- σ --></mml:mi> </mml:mrow> </mml:msup> <mml:mo stretchy=\"false\">)</mml:mo> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">O(\\tau ^{\\frac {1}{2}+\\sigma } + h^{1+2\\sigma })</mml:annotation> </mml:semantics> </mml:math> </inline-formula> and <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper O left-parenthesis tau plus h squared right-parenthesis\"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy=\"false\">(</mml:mo> <mml:mi>τ<!-- τ --></mml:mi> <mml:mo>+</mml:mo> <mml:msup> <mml:mi>h</mml:mi> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> <mml:mo stretchy=\"false\">)</mml:mo> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">O(\\tau + h^{2})</mml:annotation> </mml:semantics> </mml:math> </inline-formula> in <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper L squared\"> <mml:semantics> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">L^2</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-norm for <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"0 greater-than sigma less-than-or-equal-to one half\"> <mml:semantics> <mml:mrow> <mml:mn>0</mml:mn> <mml:mo>&gt;</mml:mo> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>≤<!-- ≤ --></mml:mo> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">0&gt;\\sigma \\leq \\frac {1}{2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> and <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"sigma greater-than-or-equal-to one half\"> <mml:semantics> <mml:mrow> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>≥<!-- ≥ --></mml:mo> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">\\sigma \\geq \\frac {1}{2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>, respectively, and an error bound at <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper O left-parenthesis tau Superscript one half Baseline plus h right-parenthesis\"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy=\"false\">(</mml:mo> <mml:msup> <mml:mi>τ<!-- τ --></mml:mi> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:msup> <mml:mo>+</mml:mo> <mml:mi>h</mml:mi> <mml:mo stretchy=\"false\">)</mml:mo> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">O(\\tau ^\\frac {1}{2} + h)</mml:annotation> </mml:semantics> </mml:math> </inline-formula> in <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper H Superscript 1\"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>1</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">H^1</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-norm for <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"sigma greater-than-or-equal-to one half\"> <mml:semantics> <mml:mrow> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>≥<!-- ≥ --></mml:mo> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">\\sigma \\geq \\frac {1}{2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>, where <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"h\"> <mml:semantics> <mml:mi>h</mml:mi> <mml:annotation encoding=\"application/x-tex\">h</mml:annotation> </mml:semantics> </mml:math> </inline-formula> and <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"tau\"> <mml:semantics> <mml:mi>τ<!-- τ --></mml:mi> <mml:annotation encoding=\"application/x-tex\">\\tau</mml:annotation> </mml:semantics> </mml:math> </inline-formula> are the mesh size and time step size, respectively. In addition, when <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"one half greater-than sigma greater-than 1\"> <mml:semantics> <mml:mrow> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> <mml:mo>&gt;</mml:mo> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">\\frac {1}{2}&gt;\\sigma &gt;1</mml:annotation> </mml:semantics> </mml:math> </inline-formula> and under the assumption of <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper H cubed\"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>3</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">H^3</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-solution of the NLSE, we show an error bound at <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper O left-parenthesis tau Superscript sigma Baseline plus h Superscript 2 sigma Baseline right-parenthesis\"> <mml:semantics> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo stretchy=\"false\">(</mml:mo> <mml:msup> <mml:mi>τ<!-- τ --></mml:mi> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mi>σ<!-- σ --></mml:mi> </mml:mrow> </mml:msup> <mml:mo>+</mml:mo> <mml:msup> <mml:mi>h</mml:mi> <mml:mrow class=\"MJX-TeXAtom-ORD\"> <mml:mn>2</mml:mn> <mml:mi>σ<!-- σ --></mml:mi> </mml:mrow> </mml:msup> <mml:mo stretchy=\"false\">)</mml:mo> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">O(\\tau ^{\\sigma } + h^{2\\sigma })</mml:annotation> </mml:semantics> </mml:math> </inline-formula> in <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper H Superscript 1\"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>1</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">H^1</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-norm. Two key ingredients are adopted in our proof: one is to adopt an unconditional <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper L squared\"> <mml:semantics> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">L^2</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-stability of the numerical flow in order to avoid an a priori estimate of the numerical solution for the case of <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"0 greater-than sigma less-than-or-equal-to one half\"> <mml:semantics> <mml:mrow> <mml:mn>0</mml:mn> <mml:mo>&gt;</mml:mo> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>≤<!-- ≤ --></mml:mo> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">0 &gt; \\sigma \\leq \\frac {1}{2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>, and to establish an <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"l Superscript normal infinity\"> <mml:semantics> <mml:msup> <mml:mi>l</mml:mi> <mml:mi mathvariant=\"normal\">∞<!-- ∞ --></mml:mi> </mml:msup> <mml:annotation encoding=\"application/x-tex\">l^\\infty</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-conditional <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"upper H Superscript 1\"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>1</mml:mn> </mml:msup> <mml:annotation encoding=\"application/x-tex\">H^1</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-stability to obtain the <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"l Superscript normal infinity\"> <mml:semantics> <mml:msup> <mml:mi>l</mml:mi> <mml:mi mathvariant=\"normal\">∞<!-- ∞ --></mml:mi> </mml:msup> <mml:annotation encoding=\"application/x-tex\">l^\\infty</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-bound of the numerical solution by using the mathematical induction and the error estimates for the case of <inline-formula content-type=\"math/mathml\"> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" alttext=\"sigma greater-than-or-equal-to one half\"> <mml:semantics> <mml:mrow> <mml:mi>σ<!-- σ --></mml:mi> <mml:mo>≥<!-- ≥ --></mml:mo> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> <mml:annotation encoding=\"application/x-tex\">\\sigma \\ge \\frac {1}{2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula>; and the other one is to introduce a regularization technique to avoid the singularity of the semi-smooth nonlinearity in obtaining improved local truncation errors. Finally, numerical results are reported to demonstrate our error bounds.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1090/mcom/3900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

We establish error bounds of the Lie-Trotter time-splitting sine pseudospectral method for the nonlinear Schrödinger equation (NLSE) with semi-smooth nonlinearity f ( ρ ) = ρ σ f(\rho ) = \rho ^\sigma , where ρ = | ψ | 2 \rho =|\psi |^2 is the density with ψ \psi the wave function and σ > 0 \sigma >0 is the exponent of the semi-smooth nonlinearity. Under the assumption of H 2 H^2 -solution of the NLSE, we prove error bounds at O ( τ 1 2 + σ + h 1 + 2 σ ) O(\tau ^{\frac {1}{2}+\sigma } + h^{1+2\sigma }) and O ( τ + h 2 ) O(\tau + h^{2}) in L 2 L^2 -norm for 0 > σ 1 2 0>\sigma \leq \frac {1}{2} and σ 1 2 \sigma \geq \frac {1}{2} , respectively, and an error bound at O ( τ 1 2 + h ) O(\tau ^\frac {1}{2} + h) in H 1 H^1 -norm for σ 1 2 \sigma \geq \frac {1}{2} , where h h and τ \tau are the mesh size and time step size, respectively. In addition, when 1 2 > σ > 1 \frac {1}{2}>\sigma >1 and under the assumption of H 3 H^3 -solution of the NLSE, we show an error bound at O ( τ σ + h 2 σ ) O(\tau ^{\sigma } + h^{2\sigma }) in H 1 H^1 -norm. Two key ingredients are adopted in our proof: one is to adopt an unconditional L 2 L^2 -stability of the numerical flow in order to avoid an a priori estimate of the numerical solution for the case of 0 > σ 1 2 0 > \sigma \leq \frac {1}{2} , and to establish an l l^\infty -conditional H 1 H^1 -stability to obtain the l l^\infty -bound of the numerical solution by using the mathematical induction and the error estimates for the case of σ 1 2 \sigma \ge \frac {1}{2} ; and the other one is to introduce a regularization technique to avoid the singularity of the semi-smooth nonlinearity in obtaining improved local truncation errors. Finally, numerical results are reported to demonstrate our error bounds.
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半光滑非线性非线性Schrödinger方程时分裂方法的误差估计
针对半光滑非线性方程f(ρ) = ρ σ f(\rho ) = \rho ^\sigma ,其中ρ = | ψ | 2 \rho =|\psi ^2是带ψ的密度 \psi 波函数和σ &gt;0 \sigma &gt;0为半光滑非线性的指数。在NLSE的H^2解的假设下,我们证明了在O(τ 1 2 + σ + H 1 + 2 σ) O(\tau ^{\frac {1}{2}+\sigma } + h^{1+2\sigma })和O(τ + h2) O(\tau + h^{2}L^2 - 0 &gt的范数;σ≤1 20 &gt;\sigma \leq \frac {1}{2} σ≥1 2 \sigma \geq \frac {1}{2} ,以及O(τ 12 + h) O(\tau ^\frac {1}{2} + h) h ^1 - σ≥1的范数 \sigma \geq \frac {1}{2} ,其中h h和τ \tau 分别为网格尺寸和时间步长。另外,当1 2 &gt;σ &gt;1 \frac {1}{2}&gt;\sigma &gt;1和在NLSE的h3h ^3解的假设下,我们给出了在O(τ σ + H 2 σ) O(\tau ^{\sigma } + h^{2\sigma }) H^1 -范数。在我们的证明中采用了两个关键因素:一是为了避免对0 &gt情况下的数值解进行先验估计,采用了数值流的无条件l2l ^2稳定性;σ≤1 20 &gt; \sigma \leq \frac {1}{2} 建立一个l∞l^\infty -条件H^1 H^1 -稳定性得到l∞l^\infty 在σ≥12的情况下,用数学归纳法得到了数值解的-界和误差估计 \sigma \ge \frac {1}{2} ;二是引入正则化技术,避免了半光滑非线性的奇异性,从而得到改进的局部截断误差。最后,用数值结果证明了我们的误差范围。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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