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lecture_5_slides

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lecture_5_slides [2017/02/03 16:13] – [Gaussian elimination] rupertlecture_5_slides [2017/02/07 10:15] (current) rupert
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 ~~REVEAL~~ ~~REVEAL~~
 +
 +===== The story so far... =====
 +
 +  * Systems of linear equations
 +  * The augmented matrix
 +  * Elementary Row Operations (EROs)
 +  * Row Echelon Form (REF)
 +  * Reduced Row Echelon Form (RREF)
 +
 +===== Today =====
 +
 +  - How to solve a system in REF or RREF
 +  - How to find REF or RREF for a system
  
 ===== Solving a system in REF or RREF ===== ===== Solving a system in REF or RREF =====
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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 $\newcommand{\sm}{\left[\begin{smallmatrix}}\newcommand{\esm}{\end{smallmatrix}\right]} \sm 1&2&3&0&0&8\\0&0&1&1&1&5\\0&0&0&1&3&4\esm$.
  
 +  * Observe: it's in REF
   * Free variables: $x_2$, $x_5$. Set $x_2=s$, $x_5=t$.   * Free variables: $x_2$, $x_5$. Set $x_2=s$, $x_5=t$.
     * $ x_4+3x_5=4\implies x_4=4-3x_5=4-3t$      * $ x_4+3x_5=4\implies x_4=4-3x_5=4-3t$ 
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 Use Gaussian elimination to solve the linear system Use Gaussian elimination to solve the linear system
-\begin{align*} 2x+y+3x+4w&=27\\ x+2y+3z+2w&=30\\x+y+3z+w&=25\end{align*}+\begin{align*} 2x+y+3z+4w&=27\\ x+2y+3z+2w&=30\\x+y+3z+w&=25\end{align*}
  
 ==== ==== ==== ====
lecture_5_slides.1486138437.txt.gz · Last modified: by rupert

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