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Mathematics 17 Online
OpenStudy (anonymous):

Calculate the determinant \[\left[\begin{array}{ccccc} -2&5&0&-1&3\\ 1&0&3&7&-2\\ 3&-1 &0&5&-5\\ 2&6&-4&1&2\\ 0&-3&-1&2&3\end{array}\right]\]

OpenStudy (sirm3d):

i suggest you use microsoft excel function MDETERM() to compute the determinant

hartnn (hartnn):

http://www.bluebit.gr/matrix-calculator/calculate.aspx or u can use this website , and u get -1032

OpenStudy (anonymous):

Well, I have to do all the calculations on paper so I can't just write the answer.

OpenStudy (anonymous):

choose a row or column to break the determinent into the sum of 5 4x4 matrices (the one with the most zeros...does this method seem familiar from class?

OpenStudy (phi):

one way is use elimination to translate to an upper triangular form. The determinant is then the product of the main diagonal. I was able to simplify the first 2 columns before the numbers got quite large. But you can switch to co-factors for a 3x3 which is not too bad.

OpenStudy (phi):

*remember a row swap multiplies the determinant by -1

OpenStudy (anonymous):

Yeah, I know two methods of calculating the determinant of a matrix. One is using Gaussian elimination and the other method is the one you described. phi, that's exactly what I did, but my answer was wrong. I did a little arithmetical error at the start. The reason I asked this question was to find out if there is a simpler/faster method of calculating determinant.

OpenStudy (anonymous):

not 5x5 unfortunately, you gotta bang it out long form until you get them down to 3x3's

OpenStudy (phi):

I don't know a particularly easy way... -1032 tells you you are dealing with ugly numbers.

OpenStudy (phi):

I did 2 row swaps to get 1's in the pivot position 1 0 3 7 -2 3 -1 0 5 -5 -2 5 0 -1 3 2 6 -4 1 2 0 -3 -1 2 3 then reduced to 1 0 3 7 -2 0 -1 -9 -16 1 0 0 -39 -67 4 0 0 -64 -109 12 0 0 26 50 0 now I found the determinant of -39 -67 4 -64 -109 12 26 50 0 using the bottom row (it has zero) 26*(-67*12 + 4*109) - 50*(-39*12 + 4*64) multiply by 1 * -1 (which are on the diagonal)

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