<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>symmetry</title>
	<atom:link href="https://dcn.nat.fau.eu/tag/symmetry/feed/" rel="self" type="application/rss+xml" />
	<link>https://dcn.nat.fau.eu</link>
	<description>FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship</description>
	<lastBuildDate>Wed, 05 Jul 2023 15:12:29 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://dcn.nat.fau.eu/wp-content/uploads/cropped-FAUDCNAvHlogo_square_silhouette_512x512-32x32.png</url>
	<title>symmetry</title>
	<link>https://dcn.nat.fau.eu</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Null controllability for population dynamics with age, size structuring and diffusion</title>
		<link>https://dcn.nat.fau.eu/null-controllability-for-population-dynamics-with-age-size-structuring-and-diffusion/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Tue, 27 Jun 2023 17:26:25 +0000</pubDate>
				<category><![CDATA[Math]]></category>
		<category><![CDATA[Math Yacouba Simpore]]></category>
		<category><![CDATA[boundary controllability]]></category>
		<category><![CDATA[Robin]]></category>
		<category><![CDATA[symmetry]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=26754</guid>

					<description><![CDATA[Null controllability for population dynamics with age, size structuring and diffusion 1. Motivation and description of age, size structured model 1.1. Motivation Knowing the mechanisms of tumor growth can be useful for developing treatments. To mathematically describe its evolution from a global point of view, we can use a so-called &#8220;diffusion&#8221; equation. Diffusion equations are [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Breaking the symmetry with Robin boundary conditions</title>
		<link>https://dcn.nat.fau.eu/breaking-the-symmetry-with-robin-boundary-conditions/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 03 May 2023 18:13:03 +0000</pubDate>
				<category><![CDATA[Math]]></category>
		<category><![CDATA[Math Alba Lia Masiello]]></category>
		<category><![CDATA[boundary controllability]]></category>
		<category><![CDATA[Robin]]></category>
		<category><![CDATA[symmetry]]></category>
		<guid isPermaLink="false">https://dcn.nat.fau.eu/?p=26373</guid>

					<description><![CDATA[Breaking the symmetry with Robin boundary conditions Introduction Establishing symmetry properties of solutions to differential equations is a very important task in mathematical analysis, both from the theoretical point of view and for applications. Indeed, partial differential equations arise in modeling many phenomena in physics, mechanics, and so on. A first question that arises quite [&#8230;]]]></description>
		
		
		
			</item>
	</channel>
</rss>
