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

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 \sigm...

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Veröffentlicht in:Mathematics of computation 2024-07, Vol.93 (348), p.1599-1631
Hauptverfasser: Bao, Weizhu, Wang, Chushan
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description 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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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 &gt; σ ≤ 1 2 0&gt;\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 &gt; σ &gt; 1 \frac {1}{2}&gt;\sigma &gt;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 &gt; σ ≤ 1 2 0 &gt; \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.</description><identifier>ISSN: 0025-5718</identifier><identifier>EISSN: 1088-6842</identifier><identifier>DOI: 10.1090/mcom/3900</identifier><language>eng</language><ispartof>Mathematics of computation, 2024-07, Vol.93 (348), p.1599-1631</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1790-a24acb2f0abda319409b5559bf5ce176b80887bcebaf6a715b5ab39c068cfb923</citedby><cites>FETCH-LOGICAL-c1790-a24acb2f0abda319409b5559bf5ce176b80887bcebaf6a715b5ab39c068cfb923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27913,27914</link.rule.ids></links><search><creatorcontrib>Bao, Weizhu</creatorcontrib><creatorcontrib>Wang, Chushan</creatorcontrib><title>Error estimates of the time-splitting methods for the nonlinear Schrödinger equation with semi-smooth nonlinearity</title><title>Mathematics of computation</title><description>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 &gt; 0 \sigma &gt;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 &gt; σ ≤ 1 2 0&gt;\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 &gt; σ &gt; 1 \frac {1}{2}&gt;\sigma &gt;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 &gt; σ ≤ 1 2 0 &gt; \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. 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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 &gt; σ ≤ 1 2 0&gt;\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 &gt; σ &gt; 1 \frac {1}{2}&gt;\sigma &gt;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 &gt; σ ≤ 1 2 0 &gt; \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.</abstract><doi>10.1090/mcom/3900</doi><tpages>33</tpages><oa>free_for_read</oa></addata></record>
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title Error estimates of the time-splitting methods for the nonlinear Schrödinger equation with semi-smooth nonlinearity
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