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<titleInfo><title>Finite-dimensional approximation and non-squeezing for the cubic nonlinear Schrödinger equation on ℝ2</title></titleInfo>


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<name type="personal">
  <namePart type="given">Rowan</namePart>
  <namePart type="family">Killip</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Monica</namePart>
  <namePart type="family">Visan</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">056daca0-b8d1-11f0-964f-f91054abf8ca</identifier></name>
<name type="personal">
  <namePart type="given">Xiaoyi</namePart>
  <namePart type="family">Zhang</namePart>
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<abstract lang="eng">We prove that solutions of the cubic nonlinear Schr\&quot;odinger equation on $\Bbb{R}^2$ can be approximated by a finite-dimensional Hamiltonian system, uniformly on bounded sets of initial data. This is despite the wealth of non-compact symmetries: scaling, translation, and Galilei boosts.

Complementing this approximation result, we show that all solutions of the finite-dimensional Hamiltonian system we use can be approximated by the full PDE.

A key ingredient in these results is the development of a general methodology for transfering uniform global space-time bounds to suitable Fourier truncations of dispersive PDE models.

As an application, we prove symplectic non-squeezing (in the sense of Gromov) for the cubic NLS on $\Bbb{R}^2$. This is the first symplectic non-squeezing result for a Hamiltonian PDE in infinite volume. It is also the first unconditional symplectic non-squeezing result in a scaling-critical setting.

Finally, we discuss implications of non-squeezing on the nature of scattering.</abstract>

<originInfo><publisher>Johns Hopkins University Press</publisher><dateIssued encoding="w3cdtf">2021</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>American Journal of Mathematics</title></titleInfo>
  <identifier type="eIssn">1080-6377</identifier>
  <identifier type="arXiv">1606.07738</identifier><identifier type="doi">10.1353/ajm.2021.0014</identifier>
<part><detail type="volume"><number>143</number></detail><detail type="issue"><number>2</number></detail><extent unit="pages">613-680</extent>
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<ama>Killip R, Vişan M, Zhang X. Finite-dimensional approximation and non-squeezing for the cubic nonlinear Schrödinger equation on ℝ2. &lt;i&gt;American Journal of Mathematics&lt;/i&gt;. 2021;143(2):613-680. doi:&lt;a href=&quot;https://doi.org/10.1353/ajm.2021.0014&quot;&gt;10.1353/ajm.2021.0014&lt;/a&gt;</ama>
<mla>Killip, Rowan, et al. “Finite-Dimensional Approximation and Non-Squeezing for the Cubic Nonlinear Schrödinger Equation on ℝ2.” &lt;i&gt;American Journal of Mathematics&lt;/i&gt;, vol. 143, no. 2, Johns Hopkins University Press, 2021, pp. 613–80, doi:&lt;a href=&quot;https://doi.org/10.1353/ajm.2021.0014&quot;&gt;10.1353/ajm.2021.0014&lt;/a&gt;.</mla>
<ieee>R. Killip, M. Vişan, and X. Zhang, “Finite-dimensional approximation and non-squeezing for the cubic nonlinear Schrödinger equation on ℝ2,” &lt;i&gt;American Journal of Mathematics&lt;/i&gt;, vol. 143, no. 2. Johns Hopkins University Press, pp. 613–680, 2021.</ieee>
<ista>Killip R, Vişan M, Zhang X. 2021. Finite-dimensional approximation and non-squeezing for the cubic nonlinear Schrödinger equation on ℝ2. American Journal of Mathematics. 143(2), 613–680.</ista>
<chicago>Killip, Rowan, Monica Vişan, and Xiaoyi Zhang. “Finite-Dimensional Approximation and Non-Squeezing for the Cubic Nonlinear Schrödinger Equation on ℝ2.” &lt;i&gt;American Journal of Mathematics&lt;/i&gt;. Johns Hopkins University Press, 2021. &lt;a href=&quot;https://doi.org/10.1353/ajm.2021.0014&quot;&gt;https://doi.org/10.1353/ajm.2021.0014&lt;/a&gt;.</chicago>
<short>R. Killip, M. Vişan, X. Zhang, American Journal of Mathematics 143 (2021) 613–680.</short>
<apa>Killip, R., Vişan, M., &amp;#38; Zhang, X. (2021). Finite-dimensional approximation and non-squeezing for the cubic nonlinear Schrödinger equation on ℝ2. &lt;i&gt;American Journal of Mathematics&lt;/i&gt;. Johns Hopkins University Press. &lt;a href=&quot;https://doi.org/10.1353/ajm.2021.0014&quot;&gt;https://doi.org/10.1353/ajm.2021.0014&lt;/a&gt;</apa>
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