Explanation and Free Practice Resources
For a determinant evaluated by cofactor expansion, any row or column gives the same value when its entries are combined with the correctly signed cofactors, but some choices require less arithmetic. A row or column with the most zeros—or otherwise the fewest or simplest nonzero entries—is efficient because zero terms vanish; this reasoning applies to routine small square matrices, not advanced determinant algorithms or abstract generalizations.
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Before expanding, scan the matrix for a row or column with many zeros. Every zero entry contributes a zero term, so choosing that row or column can reduce the amount of work. You may expand along any row or column, as long as you use the correct cofactor signs.
For example, find
The second row has two zeros, so expand along it. The signs across this row are :
The determinant is , so
Thus, the determinant is . Choosing the second row made the calculation quicker because its two zero entries required no work.
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