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linear_algebra:03_gaussian_elimination [2014/01/20 12:50]
marje
linear_algebra:03_gaussian_elimination [2014/12/14 00:12]
jaan [3. Gaussian elimination algorithm]
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 <box 100% round blue> <box 100% round blue>
-Following ​operations with a matrix are called **elementary row operations**:​+The following ​operations with a matrix are called **elementary row operations**:​
   - Switching two rows.   - Switching two rows.
   - Multiplying a row by a nonzero constant.   - Multiplying a row by a nonzero constant.
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-In therms ​of the augmented matrix, the first elementary row operation means that we can reorder+In terms of the augmented matrix, the first elementary row operation means that we can reorder
 equations within the system.\\ equations within the system.\\
 The second elementary row operation means that we can multiply an equation with some constant, i.e. The second elementary row operation means that we can multiply an equation with some constant, i.e.
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 <WRAP task> <WRAP task>
 Verify the step in IPython by using the functions you created for elementary row operations Verify the step in IPython by using the functions you created for elementary row operations
-(e.g., [[gaussian_elimination#​el_row_op|swap_rows]] and +(e.g., [[03_gaussian_elimination#​el_row_op|swap_rows]] and 
 [[03_gaussian_elimination#​el_row_op|add_row_multiples]]).\\ [[03_gaussian_elimination#​el_row_op|add_row_multiples]]).\\
 </​WRAP>​ </​WRAP>​
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 Analyse the result: what should be changed in order to obtain the final augmented matrix from above.\\ Analyse the result: what should be changed in order to obtain the final augmented matrix from above.\\
-</​WRAP>​ 
  
 <hidden **Solution**>​ <hidden **Solution**>​
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 Do you get the correct answer? ++Answer | The final augmented matrix is $\left(\begin{array}{rrrr|r}1&​-\frac{3}{2}&​-\frac{1}{2}&​\frac{5}{2}&​\frac{1}{2}\\0&​0&​0&​1&​0\\0&​0&​0&​0&​0\end{array}\right)$ ++ Do you get the correct answer? ++Answer | The final augmented matrix is $\left(\begin{array}{rrrr|r}1&​-\frac{3}{2}&​-\frac{1}{2}&​\frac{5}{2}&​\frac{1}{2}\\0&​0&​0&​1&​0\\0&​0&​0&​0&​0\end{array}\right)$ ++
-</​WRAP>​+</​WRAP>​\\
  
 As you can see, the simple Gaussian elimination algorithm does not work in such a case. Next we will generalize As you can see, the simple Gaussian elimination algorithm does not work in such a case. Next we will generalize
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 if $r=n$ and $a_{ii}=1$ for every $i=1,​\dots,​n$,​ then **the system has a unique solution**. The solution is  if $r=n$ and $a_{ii}=1$ for every $i=1,​\dots,​n$,​ then **the system has a unique solution**. The solution is 
 the last column of the augmented matrix, ​ the last column of the augmented matrix, ​
-see [[gaussian_elimination#​simple_gaussian|simple Gaussian elimination algorithm]].+see [[03_gaussian_elimination#​simple_gaussian|simple Gaussian elimination algorithm]].
  
 If $r<n$, then **the system has more than one solution**. In the case of solving such a system over $\mathbb{R}$ ​ If $r<n$, then **the system has more than one solution**. In the case of solving such a system over $\mathbb{R}$ ​
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 decide weather it has unique solution or not.  decide weather it has unique solution or not. 
  
-|$\left(\begin{array}{rrrrr|r}1&​0&​0&​5&​8&​0\\0&​0&​1&​2&​7&​0\\0&​0&​0&​0&​0&​1\end{array}\right)$ | $\left(\begin{array}{rrrrr|r}1&​0&​6&​5&​8&​2\\0&​0&​2&​2&​7&​3\end{array}\right)$ | $\left(\begin{array}{rrr|r}1&​0&​0&​3\\0&​1&​0&​-2\\0&​0&​1&​10\\0&​0&​0&​0\end{array}\right)$ | $\left(\begin{array}{rrrrr|r}1&​0&​0&​0&​0&​3\\0&​0&​9&​1&​0&​-3\\0&​1&​-2&​0&​0&​2\\0&​0&​0&​0&​1&​5\end{array}\right)$ | +|$\left(\begin{array}{rrrrr|r}1&​0&​0&​5&​8&​0\\0&​0&​1&​2&​7&​0\\0&​0&​0&​0&​0&​1\end{array}\right)$ | $\left(\begin{array}{rrrrr|r}1&​0&​6&​5&​8&​2\\0&​0&​2&​2&​7&​3\end{array}\right)$ ​|  
-|++Answer | This one is. However, the system has no solution. ++ | ++Answer | This one is not. The entry $a_{23}=2$ but in case of general Gaussian elimination algorithm there should be $1$. By multiplying the second row by $\frac{1}{2}$ we obtain the desired final form of Gaussian elimination. The system has more then one solution. ++ | ++Answer | No, since the last row consists of only zeros. If we drop the last row, then the augmented matrix is in the needed form. The system has precisely one solution. ++ | ++Answer | No. The 3rd and 2nd row should be switched and instead of $9$ there should be $1$ and instead of $-2$ there should be $0$. ++ |+|++Answer | This one is. However, the system has no solution. ++ | ++Answer | This one is not. The entry $a_{23}=2$ but in case of general Gaussian elimination algorithm there should be $1$. By multiplying the second row by $\frac{1}{2}$ we obtain the desired final form of Gaussian elimination. The system has more then one solution. ++ | 
 +|$\left(\begin{array}{rrr|r}1&​0&​0&​3\\0&​1&​0&​-2\\0&​0&​1&​10\\0&​0&​0&​0\end{array}\right)$ | $\left(\begin{array}{rrrrr|r}1&​0&​0&​0&​0&​3\\0&​0&​9&​1&​0&​-3\\0&​1&​-2&​0&​0&​2\\0&​0&​0&​0&​1&​5\end{array}\right)$ | 
 +| ++Answer | No, since the last row consists of only zeros. If we drop the last row, then the augmented matrix is in the needed form. The system has precisely one solution. ++ | ++Answer | No. The 3rd and 2nd row should be switched and instead of $9$ there should be $1$ and instead of $-2$ there should be $0$. ++ |
 </​WRAP>​ </​WRAP>​
  
linear_algebra/03_gaussian_elimination.txt · Last modified: 2014/12/14 00:12 by jaan