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  <h1>Glossar zur Linearen Algebra</h1>
  <p><a href="a.html">A</a>
	<a href="b.html">B</a> <a href="c.html">C </a><a href="d.html">D</a> <a href="e.html">E</a>
	<a href="f.html">F</a> <span class="important" style="font-weight: bold">G</span> <a href="h.html">H</a>
	<a href="i.html">I</a>
	<a href="j.html">J</a> <a href="k.html">K</a> <a href="l.html">L</a> <a href="m.html">M</a>
	<a href="n.html">N</a> <a href="o.html">O</a> <a href="p.html">P</a> <a href="q.html">Q</a>
	<a href="r.html">R</a> <a href="s.html">S</a> <a href="t.html">T</a> <a href="u.html">U</a>
	<a href="v.html">V</a> W X Y <a href="z.html">Z</a></p>
	<table>
      <tr class="grau"> 
        <td>Ausdruck</td>                 
        <td>Definition</td>        
      </tr>
      <tr> 
        <td>geometrische Vielfachheit 
          eines Eigenwerts </td>
        <td>Die geometrische Vielfachheit 
          eines Eigenwerts <img width="12" height="14" align="BOTTOM" border="0" src="mat_zeichen/img5.gif"	alt="$\lambda$">
					der quadratischen Matrix A ist die <a href="d.html#dim">Dimension</a> 
         	des<a href="l.html#loesraum">L&#246;sungsraums</a> 
          von <nobr>(A - <img width="12" height="14" align="BOTTOM" border="0"	src="mat_zeichen/img5.gif"	alt="$\lambda$">
					E)x = 0 .</nobr> </td>
      </tr>
      <tr> 
        <td>Gramsche Matrix </td>
        <td>Es sei V ein Euklidischer Vektorraum, 
          und es seien <nobr>v<sup> 1</sup>,...,v<sup> 
          r</sup> <img width="13" height="24" align="top" border="0"	src="mat_zeichen/img2.gif"	alt="$\in$">
					V</nobr> . Dann hei&#223;t die Matrix <nobr>G : = (<img width="9" height="28" align="MIDDLE" border="0"
 					src="mat_zeichen/img26.gif"	alt="$\langle$">v<sup> i</sup>,v<sup> j</sup>
					<img width="9" height="28" align="MIDDLE" border="0"	src="mat_zeichen/img27.gif"	alt="$\rangle$">
					)<sub>i,j = 1,...,r</sub></nobr> Gramsche Matrix zu <nobr>v<sup> 
          1</sup>,...,v<sup> r</sup>.</nobr> G ist 
          genau dann <a href="r.html">regul&#228;r</a>, wenn <nobr>v<sup> 
          1</sup>,...,v<sup> r</sup></nobr> linear unabh&#228;ngig 
          sind. </td>
      </tr>
    </table> 
  </div>
</div>
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