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      <title>TMA4267 Linear Statistical Models - useful rules in matrix algebra by Mette Langaas</title>
      <link>https://padlet.com/mette_langaas/t0pfmgt4jqad</link>
      <description>Write down your favourite rule - to help yourself and all class mates get an overview of useful rules to be used in the course.
</description>
      <language>en-us</language>
      <pubDate>2017-01-21 15:17:00 UTC</pubDate>
      <lastBuildDate>2017-05-15 16:51:24 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>The trace tr() of a quadratic matrix is the sum of the diagonal elements. </title>
         <author>mette_langaas</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/148517811</link>
         <description><![CDATA[<div>Let A, B and C be conformable matrices, then tr(AB)=tr(BA) and tr(ABC)=tr(BCA)=tr(CAB).<br>Proof: look at the diagonal elements and see at the sum of these are equal for the formulas.<br><br></div>]]></description>
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         <pubDate>2017-01-21 15:22:56 UTC</pubDate>
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      <item>
         <title>Determinants</title>
         <author>nilsbar</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/148520004</link>
         <description><![CDATA[<div>$$&nbsp;|A^T| = |A| $$<br>$$|AB| = |A| \cdot |B| $$<br>$$ |cA| = c^n|A| $$<br>$$\lvert A^{-1}\rvert=\frac{1}{\lvert A \rvert}$$</div>]]></description>
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         <pubDate>2017-01-21 16:09:47 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/148520004</guid>
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         <title>Orthogonal matrices</title>
         <author>nilsbar</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/148520390</link>
         <description><![CDATA[<var>A^T=A^{-1} </var><div>and</div><var>A^TA=AA^T=I</var>]]></description>
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         <pubDate>2017-01-21 16:17:46 UTC</pubDate>
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      <item>
         <title>A is a square p-dimensional real and diagonalizable matrix.  </title>
         <author>mette_langaas</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/148537517</link>
         <description><![CDATA[<div>We write $$A=P\Lambda P^T$$ where P is an orthogonal matrix with the eigenvectors $$e_i$$<br>&nbsp;of A as column vectors and \(\Lambda\) is a diagonal matrix with the eigenvalues \(\lambda_i\) of A on the diagonal.<br>$$\mbox{tr}(A)=\sum_{i=1}^p \lambda_i$$<br>$$\mbox{det}(A)=\prod_{i=1}^p \lambda_i$$<br><br></div>]]></description>
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         <pubDate>2017-01-22 00:20:05 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/148537517</guid>
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         <title>Idempotent matrices</title>
         <author>jakobpeder_pettersen</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/149105811</link>
         <description><![CDATA[<div>Definition: A square matrix</div><var>A </var><div><br>is idempotent if:&nbsp;<br><br></div><var>A^2=AA=A</var><div><br><br></div><div>Assume&nbsp;</div><var>A </var><div>is idempotent. Then the following hold:</div><ul><li>$$\text{If $\lambda$ is an eigenvalue of $A$, then $\lambda=0$ or $\lambda=1$ }$$</li><li>$$\mathrm{rank}(A)=\mathrm{tr}(A)$$</li><li>$$\text{For any vector $\mathbf{x}\in\mathbb{R}^n$,}$$ $$\text{$A\mathbf{x}$ is the projection of $\mathbf{x}$ onto the column space of $A$}$$</li></ul><div><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-01-24 17:52:21 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/149105811</guid>
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      <item>
         <title>Transpose</title>
         <author>scottbun</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/152703492</link>
         <description><![CDATA[<div><br></div><var>(AB)^T = B^TA^T</var>]]></description>
         <enclosure url="" />
         <pubDate>2017-02-09 08:59:20 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/152703492</guid>
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      <item>
         <title>Trace indentities</title>
         <author>user8715</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/156979209</link>
         <description><![CDATA[<div><br>$$ tr(cA) = c  tr(A) $$<br>$$ tr(A + B) = tr(A) + tr(B) $$<br>$$ tr(A) = tr(A^T) $$<br>$$ tr(AB) = tr(BA) = \sum_{i,j} A_{i,j}B_{i,j}$$<br><br>Trace formula: <br>$$E[X^TAX]=tr(AΣ)+\mu^TA\mu$$</div><div><br></div><div><br><br><br></div><div><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-03-01 11:31:53 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/156979209</guid>
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      <item>
         <title>Transpose</title>
         <author>rasmusmunter</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/171660856</link>
         <description><![CDATA[<var>(AB)^T = B^TA^T</var>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-14 09:25:00 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/171660856</guid>
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      <item>
         <title>Hvis man &#39;highlighter&#39; teksten så kommer det opp en meny med Pi. Trykk på den og dropp $$ tegnene så funker det!</title>
         <author>rasmusmunter</author>
         <link>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/171660897</link>
         <description><![CDATA[<div>Takk Rasmus - da er det kommet på plass siden 12.05 - bra - tusen takk for hjelpen! Mette</div>]]></description>
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         <pubDate>2017-05-14 09:26:00 UTC</pubDate>
         <guid>https://padlet.com/mette_langaas/t0pfmgt4jqad/wish/171660897</guid>
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