<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>On the size of divergence sets for the Schroedinger equation with radial data</dc:title>
<dc:creator>Jonathan Bennett</dc:creator><dc:creator>Keith Rogers</dc:creator>
<dc:subject>42B25</dc:subject><dc:subject>49Q15</dc:subject><dc:subject>pointwise convergence</dc:subject><dc:subject>sets of divergence</dc:subject>
<dc:description>We consider the Schr\&quot;odinger equation $ i\partial_tu + \Delta u = 0$ with initial data in $H^s(\mathbb{R}^n)$. A classical problem is to identify the exponents $s$ for which $u(\cdot,t)$ converges almost everywhere to the initial data as $t$ tends to zero. In one spatial dimension, Carleson proved that the convergence is guaranteed when $s = \frac{1}{4}$, and Dahlberg and Kenig proved that divergence can occur on a set of nonzero Lebesgue measure when $s &lt; \frac{1}{4}$. In higher dimensions Prestini deduced the same conclusions when restricting attention to radial data. We refine this by proving that the Hausdorff dimension of the divergence sets can be at most $n-\frac{1}{2}$ for radial data in $H^{1/4}(\mathbb{R}^n)$, and this is sharp.</dc:description>
<dc:publisher>Indiana University Mathematics Journal</dc:publisher>
<dc:date>2012</dc:date>
<dc:type>text</dc:type>
<dc:format>pdf</dc:format>
<dc:identifier>10.1512/iumj.2012.61.4373</dc:identifier>
<dc:source>10.1512/iumj.2012.61.4373</dc:source>
<dc:language>en</dc:language>
<dc:relation>Indiana Univ. Math. J. 61 (2012) 1 - 13</dc:relation>
<dc:coverage>state-of-the-art mathematics</dc:coverage>
<dc:rights>http://iumj.org/access/</dc:rights>
</oai_dc:dc>