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Comment on Relearning Matrices as Linear Functionsparent

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I agree, the way I still see determinant is as the 'volume scaling factor' of a linear transformation.

This means it makes sense that det(A) = 0 means A is non-invertible. It also makes a lot of sense when the jacobian pops up in the multi-dimensional chain rule.

Given the above, and the Cayley–Hamilton theorem, I never really had to know why the determinant was calculated the way it is. The above give enough of an interface to work with it.

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