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		<title>en&gt;Yuyistat at 14:43, 4 October 2013</title>
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		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{merge|Weak formulation|date=March 2012}}&lt;br /&gt;
In [[mathematics]], the &amp;#039;&amp;#039;&amp;#039;Lions&amp;amp;ndash;Lax&amp;amp;ndash;Milgram theorem&amp;#039;&amp;#039;&amp;#039; (or simply &amp;#039;&amp;#039;&amp;#039;Lions’ theorem&amp;#039;&amp;#039;&amp;#039;) is a result in [[functional analysis]] with applications in the study of [[partial differential equation]]s.  It is a generalization of the famous [[Lax–Milgram theorem]], which gives conditions under which a [[bilinear function]] can be &amp;quot;inverted&amp;quot; to show the existence and uniqueness of a [[weak solution]] to a given [[boundary value problem]]. The result is named after the mathematicians [[Jacques-Louis Lions]], [[Peter Lax]] and [[Arthur Milgram]].&lt;br /&gt;
&lt;br /&gt;
==Statement of the theorem==&lt;br /&gt;
Let &amp;#039;&amp;#039;H&amp;#039;&amp;#039; be a [[Hilbert space]] and &amp;#039;&amp;#039;V&amp;#039;&amp;#039; a [[normed space]].  Let &amp;#039;&amp;#039;B&amp;#039;&amp;#039;&amp;amp;nbsp;:&amp;amp;nbsp;&amp;#039;&amp;#039;H&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;times;&amp;amp;nbsp;&amp;#039;&amp;#039;V&amp;#039;&amp;#039;&amp;amp;nbsp;→&amp;amp;nbsp;&amp;#039;&amp;#039;&amp;#039;R&amp;#039;&amp;#039;&amp;#039; be a [[continuous function|continuous]], bilinear function.  Then the following are equivalent:&lt;br /&gt;
&lt;br /&gt;
* ([[coercive function|coercivity]]) for some constant &amp;#039;&amp;#039;c&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;gt;&amp;amp;nbsp;0,&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;\inf_{\| v \|_{V} = 1} \sup_{\| h \|_{H} \leq 1} | B(h, v) | \geq c;&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* (existence of a &amp;quot;weak inverse&amp;quot;) for each [[continuous linear functional]] &amp;#039;&amp;#039;f&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;isin;&amp;amp;nbsp;&amp;#039;&amp;#039;V&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;amp;lowast;&amp;lt;/sup&amp;gt;, there is an element &amp;#039;&amp;#039;h&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;isin;&amp;amp;nbsp;&amp;#039;&amp;#039;H&amp;#039;&amp;#039; such that&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;B(h, v) = \langle f, v \rangle \mbox{ for all } v \in V.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Related results==&lt;br /&gt;
The Lions&amp;amp;ndash;Lax&amp;amp;ndash;Milgram theorem can be applied by using the following result, the hypotheses of which are quite common and easy to verify in practical applications:&lt;br /&gt;
&lt;br /&gt;
Suppose that &amp;#039;&amp;#039;V&amp;#039;&amp;#039; is [[continuously embedded]] in &amp;#039;&amp;#039;H&amp;#039;&amp;#039; and that &amp;#039;&amp;#039;B&amp;#039;&amp;#039; is &amp;#039;&amp;#039;V&amp;#039;&amp;#039;-elliptic, i.e.&lt;br /&gt;
&lt;br /&gt;
* for some &amp;#039;&amp;#039;c&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;gt;&amp;amp;nbsp;0 and all &amp;#039;&amp;#039;v&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;isin;&amp;amp;nbsp;&amp;#039;&amp;#039;V&amp;#039;&amp;#039;,&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;\| v \|_{H} \leq c \| v \|_{V};&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* for some &amp;#039;&amp;#039;&amp;amp;alpha;&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;gt;&amp;amp;nbsp;0 and all &amp;#039;&amp;#039;v&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;isin;&amp;amp;nbsp;&amp;#039;&amp;#039;V&amp;#039;&amp;#039;,&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;B(v, v) \geq \alpha \| v \|_{V}^{2}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Then the above coercivity condition (and hence the existence result) holds.&lt;br /&gt;
&lt;br /&gt;
==Importance and applications==&lt;br /&gt;
&lt;br /&gt;
Lions’ generalization is an important one since it allows one to tackle boundary value problems beyond the Hilbert space setting of the original Lax&amp;amp;ndash;Milgram theory.  To illustrate the power of Lions&amp;#039; theorem, consider the [[heat equation]] in &amp;#039;&amp;#039;n&amp;#039;&amp;#039; spatial dimensions (&amp;#039;&amp;#039;x&amp;#039;&amp;#039;) and one time dimension (&amp;#039;&amp;#039;t&amp;#039;&amp;#039;):&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\partial_{t} u (t, x) = \Delta u (t, x),&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where Δ denotes the [[Laplace operator]].  Two questions arise immediately: on what domain in [[spacetime]] is the heat equation to be solved, and what boundary conditions are to be imposed?  The first question &amp;amp;mdash; the shape of the domain &amp;amp;mdash; is the one in which the power of the Lions&amp;amp;ndash;Lax&amp;amp;ndash;Milgram theorem can be seen.  In simple settings, it suffices to consider &amp;#039;&amp;#039;cylindrical domains&amp;#039;&amp;#039;: i.e., one fixes a spatial region of interest, Ω, and a maximal time, &amp;#039;&amp;#039;T&amp;#039;&amp;#039;&amp;amp;nbsp;∈(0,&amp;amp;nbsp;+∞], and proceeds to solve the heat equation on the &amp;quot;cylinder&amp;quot;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;[0, T) \times \Omega \subseteq [0, + \infty) \times \mathbf{R}^{n}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
One can then proceed to solve the heat equation using classical Lax&amp;amp;ndash;Milgram theory (and/or [[Galerkin approximation]]s) on each &amp;quot;time slice&amp;quot; {&amp;#039;&amp;#039;t&amp;#039;&amp;#039;}&amp;amp;nbsp;&amp;amp;times;&amp;amp;nbsp;&amp;amp;Omega;.  This is all very well if one only wishes to solve the heat equation on a domain that does not change its shape as a function of time.  However, there are many applications for which this is not true: for example, if one wishes to solve the heat equation on the [[polar ice cap]], one must take account of the changing shape of the volume of ice as it [[evaporate]]s and/or [[iceberg]]s break away.  In other words, one must at least be able to handle domains &amp;#039;&amp;#039;G&amp;#039;&amp;#039; in spacetime that do not look the same along each &amp;quot;time slice&amp;quot;.  (There is also the added complication of domains whose shape changes according to the solution &amp;#039;&amp;#039;u&amp;#039;&amp;#039; of the problem itself.)  Such domains and boundary conditions are beyond the reach of classical Lax–Milgram theory, but can be attacked using Lions’ theorem.&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
* [[Babuška–Lax–Milgram theorem]]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* {{cite book&lt;br /&gt;
| last = Showalter&lt;br /&gt;
| first = Ralph E.&lt;br /&gt;
| title = Monotone operators in Banach space and nonlinear partial differential equations&lt;br /&gt;
| series = Mathematical Surveys and Monographs 49&lt;br /&gt;
| publisher = American Mathematical Society&lt;br /&gt;
| location = Providence, RI&lt;br /&gt;
| year = 1997&lt;br /&gt;
| pages = xiv+278&lt;br /&gt;
| isbn = 0-8218-0500-2&lt;br /&gt;
}} {{MathSciNet|id=1422252}} (chapter III)&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Lions-Lax-Milgram theorem}}&lt;br /&gt;
[[Category:Functional analysis]]&lt;br /&gt;
[[Category:Partial differential equations]]&lt;br /&gt;
[[Category:Theorems in functional analysis]]&lt;/div&gt;</summary>
		<author><name>en&gt;Yuyistat</name></author>
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