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      1 # Permutation Matrix 
      2 
      3 **Source:** Strang Lectures
      4 
      5 **Lecture:** 2
      6 
      7 **Definition:** A permutation matrix is a matrix that when multiplied by exchanges rows of the other matrix.
      8 
      9 Permutation matrices are necessary for LU decomposition and Gaussian elimination because sometimes we find there are 0's in the pivot positions.
     10 
     11 Something interesting about permutation matrices is that P^-1 = P^T.
     12 
     13 #### ROWS
     14 
     15 P [a b] = [c d]
     16   [c d]   [a b]
     17 
     18 P is the permutation matrix and we can state it as:
     19 
     20 [0 1]
     21 [1 0]
     22 
     23 This will flip the rows.
     24 
     25 #### COLUMNS
     26 
     27 P [a b] = [b a]
     28   [c d]   [d c]
     29 
     30 This is not possible. Instead we would need to state it as follows:
     31 
     32 [a b] * P = [b a]
     33 [c d]       [d c]
     34 
     35 We could then state P as [0 1]
     36                          [1 0]
     37 
     38 This is because we can only do row manipulations, not columns.