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lecture_4_slides [2016/02/03 15:38] rupertlecture_4_slides [2017/02/01 17:19] (current) – [Example] rupert
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 ===== Row echelon form and reduced row echelon form ===== ===== Row echelon form and reduced row echelon form =====
  
-==== Row echelon form (REF) ==== +==== Definition: zero row ====
- +
-/* +
-=== Definition ===+
  
 {{page>zero row}} {{page>zero row}}
  
-=== Definition ===+==== Definition: leading entry ====
  
 {{page>leading entry}} {{page>leading entry}}
  
-*/+==== Row echelon form (REF) ====
  
 A matrix is in **row echelon form**, or **REF**, if: A matrix is in **row echelon form**, or **REF**, if:
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   * e.g. $\left[\begin{smallmatrix} {\color{blue}1}&{\color{red}2}&{\color{red}3}&4&5\\0&{\color{blue}1}&{\color{red}2}&3&4\\0&0&{\color{blue}1}&2&3\end{smallmatrix}\right]$ and $\left[\begin{smallmatrix} {\color{blue}1}&0&{\color{red}3}&4&5\\0&{\color{blue}1}&0&3&4\\0&0&{\color{blue}1}&2&3\end{smallmatrix}\right]$ are in REF but not RREF   * e.g. $\left[\begin{smallmatrix} {\color{blue}1}&{\color{red}2}&{\color{red}3}&4&5\\0&{\color{blue}1}&{\color{red}2}&3&4\\0&0&{\color{blue}1}&2&3\end{smallmatrix}\right]$ and $\left[\begin{smallmatrix} {\color{blue}1}&0&{\color{red}3}&4&5\\0&{\color{blue}1}&0&3&4\\0&0&{\color{blue}1}&2&3\end{smallmatrix}\right]$ are in REF but not RREF
   * e.g. $\left[\begin{smallmatrix} {\color{blue}1}&0&0&4&5\\0&{\color{blue}1}&0&3&4\\0&0&{\color{blue}1}&2&3\end{smallmatrix}\right]$ is in RREF.   * e.g. $\left[\begin{smallmatrix} {\color{blue}1}&0&0&4&5\\0&{\color{blue}1}&0&3&4\\0&0&{\color{blue}1}&2&3\end{smallmatrix}\right]$ is in RREF.
 +  * How about $\left[\begin{smallmatrix} {\color{blue}1}&9&0&4&5\\0&0&{\color{blue}1}&0&3\\0&0&0&{\color{blue}1}&2\end{smallmatrix}\right]$, $\left[\begin{smallmatrix} {\color{blue}1}&9&0&0&5\\0&0&{\color{blue}1}&0&3\\0&0&0&{\color{blue}1}&2\end{smallmatrix}\right]$, $\left[\begin{smallmatrix} {\color{blue}1}&0&0&0&5\\0&0&{\color{blue}1}&0&3\\0&0&0&{\color{blue}1}&2\end{smallmatrix}\right]$?
  
 ==== Example ==== ==== Example ====
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 Solve the linear system for $\newcommand{\sm}{\left[\begin{smallmatrix}}\newcommand{\esm}{\end{smallmatrix}\right]} \sm 1&2&3&0&0&8\\0&0&1&1&1&5\\0&0&0&1&3&4\esm$. Solve the linear system for $\newcommand{\sm}{\left[\begin{smallmatrix}}\newcommand{\esm}{\end{smallmatrix}\right]} \sm 1&2&3&0&0&8\\0&0&1&1&1&5\\0&0&0&1&3&4\esm$.
  
-  * This is in REF, we use the method just described.+  * This is in REF, so can use the method just described.
   * Free variables: $x_2$, $x_5$. Set $x_2=s$, $x_5=t$.   * Free variables: $x_2$, $x_5$. Set $x_2=s$, $x_5=t$.
   * Working from bottom:   * Working from bottom:
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     * $ x_1+2x_2+3x_3=8\implies x_1=5-2s-6t.$     * $ x_1+2x_2+3x_3=8\implies x_1=5-2s-6t.$
   * So $ \left[\begin{smallmatrix} x_1\\x_2\\x_3\\x_4 \\x_5\end{smallmatrix}\right]= \left[\begin{smallmatrix} 5\\0\\1\\4\\0\end{smallmatrix}\right] +s\left[\begin{smallmatrix} -2\\1\\0\\0\\0\end{smallmatrix}\right] +t\left[\begin{smallmatrix} -6\\0\\2\\-3\\1\end{smallmatrix}\right],\quad s,t\in \mathbb{R}.$   * So $ \left[\begin{smallmatrix} x_1\\x_2\\x_3\\x_4 \\x_5\end{smallmatrix}\right]= \left[\begin{smallmatrix} 5\\0\\1\\4\\0\end{smallmatrix}\right] +s\left[\begin{smallmatrix} -2\\1\\0\\0\\0\end{smallmatrix}\right] +t\left[\begin{smallmatrix} -6\\0\\2\\-3\\1\end{smallmatrix}\right],\quad s,t\in \mathbb{R}.$
-  * (A $2$-dimensional set in $5$-dimensional space $\mathbb{R}^5$).+  * 2 free vars, 5 vars in all 
 +  * Solution set is $2$-dimensionalin $5$-dimensional space $\mathbb{R}^5$.
  
lecture_4_slides.1454513920.txt.gz · Last modified: by rupert

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