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<titleInfo><title>Large-data equicontinuity for the derivative NLS</title></titleInfo>


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<name type="personal">
  <namePart type="given">Benjamin</namePart>
  <namePart type="family">Harrop-Griffiths</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<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>
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<abstract lang="eng">We consider the derivative nonlinear Schrödinger equation in one spatial dimension, which is known to be completely integrable. We prove that the orbits of L^2 bounded and equicontinuous sets of initial data remain bounded and equicontinuous, not only under this flow, but also under the entire hierarchy. This allows us to remove the small-data restriction from prior conservation laws and global well-posedness results.</abstract>

<originInfo><publisher>Oxford University Press</publisher><dateIssued encoding="w3cdtf">2023</dateIssued>
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<relatedItem type="host"><titleInfo><title>International Mathematics Research Notices</title></titleInfo>
  <identifier type="issn">1073-7928</identifier>
  <identifier type="eIssn">1687-0247</identifier>
  <identifier type="arXiv">2106.13333</identifier><identifier type="doi">10.1093/imrn/rnab374</identifier>
<part><detail type="volume"><number>2023</number></detail><detail type="issue"><number>6</number></detail><extent unit="pages">4601-4642</extent>
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<chicago>Harrop-Griffiths, Benjamin, Rowan Killip, and Monica Vişan. “Large-Data Equicontinuity for the Derivative NLS.” &lt;i&gt;International Mathematics Research Notices&lt;/i&gt;. Oxford University Press, 2023. &lt;a href=&quot;https://doi.org/10.1093/imrn/rnab374&quot;&gt;https://doi.org/10.1093/imrn/rnab374&lt;/a&gt;.</chicago>
<apa>Harrop-Griffiths, B., Killip, R., &amp;#38; Vişan, M. (2023). Large-data equicontinuity for the derivative NLS. &lt;i&gt;International Mathematics Research Notices&lt;/i&gt;. Oxford University Press. &lt;a href=&quot;https://doi.org/10.1093/imrn/rnab374&quot;&gt;https://doi.org/10.1093/imrn/rnab374&lt;/a&gt;</apa>
<ieee>B. Harrop-Griffiths, R. Killip, and M. Vişan, “Large-data equicontinuity for the derivative NLS,” &lt;i&gt;International Mathematics Research Notices&lt;/i&gt;, vol. 2023, no. 6. Oxford University Press, pp. 4601–4642, 2023.</ieee>
<mla>Harrop-Griffiths, Benjamin, et al. “Large-Data Equicontinuity for the Derivative NLS.” &lt;i&gt;International Mathematics Research Notices&lt;/i&gt;, vol. 2023, no. 6, Oxford University Press, 2023, pp. 4601–42, doi:&lt;a href=&quot;https://doi.org/10.1093/imrn/rnab374&quot;&gt;10.1093/imrn/rnab374&lt;/a&gt;.</mla>
<ama>Harrop-Griffiths B, Killip R, Vişan M. Large-data equicontinuity for the derivative NLS. &lt;i&gt;International Mathematics Research Notices&lt;/i&gt;. 2023;2023(6):4601-4642. doi:&lt;a href=&quot;https://doi.org/10.1093/imrn/rnab374&quot;&gt;10.1093/imrn/rnab374&lt;/a&gt;</ama>
<ista>Harrop-Griffiths B, Killip R, Vişan M. 2023. Large-data equicontinuity for the derivative NLS. International Mathematics Research Notices. 2023(6), 4601–4642.</ista>
<short>B. Harrop-Griffiths, R. Killip, M. Vişan, International Mathematics Research Notices 2023 (2023) 4601–4642.</short>
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