<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">MARIANNE K. KORTEN</style></author><author><style face="normal" font="default" size="100%">CHARLES N. MOORE</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">UNIQUENESS FOR SOLUTIONS OF THE TWO PHASE STEFAN PROBLEM WITH SIGNED MEASURES AS DATA</style></title><secondary-title><style face="normal" font="default" size="100%">Communications in Applied Analysis</style></secondary-title><short-title><style face="normal" font="default" size="100%">UNIQUENESS FOR THE TWO PHASE STEFAN PROBLEM</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">35K55</style></keyword><keyword><style  face="normal" font="default" size="100%">35K65</style></keyword><keyword><style  face="normal" font="default" size="100%">80A22</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.acadsol.eu/en/articles/15/1/7.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">100</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;rtejustify&quot;&gt;We consider the two-phase Stefan problem u t = ∆α(u) where α(u) = u + 1 for u &amp;lt; −1, α(u) = 0 for −1 ≤ u ≤ 1, and α(u) = u − 1 for u &amp;gt; 1. We show uniqueness of solutions which have signed measures as initial data, that is, we show that if the difference of two solutions u and v defined on R&lt;sup&gt;n&lt;/sup&gt; × (0, T ) vanishes in a weak sense as t → 0 then u = v a.e.&lt;/div&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">scientific: mathematics</style></work-type><section><style face="normal" font="default" size="100%">89</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Noriaki Umeda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EXISTENCE AND NONEXISTENCE OF GLOBAL SOLUTIONS OF A WEAKLY COUPLED SYSTEM OF REACTION-DIFFUSION EQUATIONS</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">35K55</style></keyword><keyword><style  face="normal" font="default" size="100%">35K57</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.acadsol.eu/en/articles/10/1/7.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">22</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We consider the weakly coupled system of reaction-diffusion equation${&amp;nbsp; (u_i)_t = ∆u_i + |x|^{σi}u^{p_i}_{i+1}. }$We have the results of condition of the nonlinear terms and the initial data for the solutions blowing up in finite time or existing in time global.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">57</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Shu-Yu Hsu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EXTINCTION PROFILE OF SOLUTIONS OF A SINGULAR DIFFUSION EQUATION</style></title><secondary-title><style face="normal" font="default" size="100%">Communications in Applied Analysis</style></secondary-title><short-title><style face="normal" font="default" size="100%">Extinction Profile of Solutions  </style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">35B40</style></keyword><keyword><style  face="normal" font="default" size="100%">35K55</style></keyword><keyword><style  face="normal" font="default" size="100%">35K65</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2005</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.acadsol.eu/en/articles/9/1/5.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">93</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;We will prove that if u is the solution of the equation &lt;img alt=&quot;&quot; height=&quot;15&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;80&quot; /&gt;u &amp;gt; 0, in B&lt;sub&gt;R&lt;/sub&gt; × (0, T ), u(x, 0) = u&lt;sub&gt;0&lt;/sub&gt;(x) on B&lt;sub&gt;R&lt;/sub&gt;,&amp;nbsp;&lt;img alt=&quot;&quot; height=&quot;16&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;197&quot; /&gt; where B&lt;sub&gt;R&lt;/sub&gt; = {x ∈ R n : |x| &amp;lt; R}, α &amp;gt; 0 for n = 1, and 0 &amp;lt; α &amp;lt; 4/R for n = 2, and&amp;nbsp;&lt;img alt=&quot;&quot; height=&quot;20&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;134&quot; /&gt; then there exists a constant λ &amp;gt; 0 such that the rescaled function&amp;nbsp;&lt;img alt=&quot;&quot; height=&quot;15&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;265&quot; /&gt; will converge uniformly on &lt;img alt=&quot;&quot; height=&quot;17&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;21&quot; /&gt;&lt;sub&gt; &lt;/sub&gt;to &lt;img alt=&quot;&quot; height=&quot;16&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;94&quot; /&gt; as s → ∞ for n = 1. For n = 2, if u&lt;sub&gt;0&lt;/sub&gt; is radially symmetric, then v(x, s) will converge uniformly on&amp;nbsp;&lt;img alt=&quot;&quot; height=&quot;17&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;20&quot; /&gt; to &lt;img alt=&quot;&quot; height=&quot;18&quot; src=&quot;data:image/png;base64,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&quot; width=&quot;78&quot; /&gt; for some constant λ &amp;gt; 0 as s → ∞.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">scientific: mathematics</style></work-type><section><style face="normal" font="default" size="100%">67</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wan Se Kim</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MULTIPLICITY RESULT FOR PERIODIC SOLUTIONS OF SEMILINEAR PARABOLIC EQUATIONS</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">35K20</style></keyword><keyword><style  face="normal" font="default" size="100%">35K55</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.acadsol.eu/en/articles/6/1/10.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">6</style></volume><pages><style face="normal" font="default" size="100%">12</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Ambrosetti-Prodi type multiplicity for periodic solutions of semilinear parabolic equations with coercive growth nonlinear term is treated.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">135</style></section></record></records></xml>