E1.4b Determinant with zero column

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SUMMARY

The determinant of the given matrix is confirmed to be zero due to the presence of a column that can be transformed into all zeros. This conclusion is supported by the rule stating that if two rows or columns of a matrix are equal or one is a multiple of another, the determinant is zero. The discussion emphasizes the use of row operations, such as adding multiples of rows, to simplify the matrix and demonstrate this property. The key operations include multiplying a row by a constant, swapping rows, and adding rows, which do not alter the determinant's value.

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  • Understanding of matrix determinants
  • Familiarity with row operations in linear algebra
  • Knowledge of cofactor expansion
  • Basic concepts of matrix equivalence
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  • Explore cofactor expansion methods for calculating determinants
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karush
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$$\left[\begin{array}{rrrrr}
1 &0 &2 &1\\
1 &1 &0 &1\\
1 &3 &4 &1\\
-1 &-3 &-4 &-1
\end{array}\right]=\color{red}{0}$$Answer (red) via W|Aok I did not do any operations on this
Since by observation the 4th column can become all zero'showever didn't see anything in the book to support this
only that the co-factor expansion would result in multiplying zeros throughoutany suggestions?
 
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Surely in your textbook there is the rule "If two rows or columns of a matrix are equal" (or the more general "if one row or column is a multiple of another") "then the determinant is 0". One way to evaluate the determinant of matrix is to use "row operations" to reduce the matrix to a simpler matrix. The row operations are "multiply an entire row by a constant", "swap two rows", and "add a multiple of on row to another". The first multiplies the determinant by that constant. The second multiplies the determinant by -1. The third does not change the determinant.

In particular, if two rows of a matrix are the same, adding -1 times one of those rows to the other gives a matrix having all "0"s in one row. "Expanding" on that row gives 0 as the determinant 0.

(Of course you can replace "row" by "column" thoughout.)
 

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