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hM...am i not allowed to use this method? Finding the determinant vs row reduce |
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| Oct28-05, 06:02 PM | #1 |
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hM...am i not allowed to use this method? Finding the determinant vs row reduce
Hello everyone, I would rather find the cofactors and find the determinant than row reducing this, but is it possible, its not square! But our teacher is acting like its possible, so it must be! here is the equations:
x+y+z = 4 2x-y+4z=9 3y-z = 1 so i got: 1 1 1 4 2 -1 4 9 0 3 -z 1 a 3x4! but is there anyway for me to solve the following system other then row reduction or augmenting it with the idenity matrix? Thanks! |
| Oct28-05, 06:15 PM | #2 |
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Recognitions:
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| Oct28-05, 09:29 PM | #3 |
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It's not square because you are using the "augmented" matrix.
The matrix representing the coefficients is square- its 3 by 3. The augmented matrix is not square because it has the right hand side of the equations added as a 4th column. |
| Oct29-05, 09:19 AM | #4 |
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hM...am i not allowed to use this method? Finding the determinant vs row reduce
So if i don't augment it, will i still get the correct value if i use cofactor expansion? what do i with the other set of vectors t hough? the vectors that are = [4 9 1]^T
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| Oct29-05, 12:05 PM | #5 |
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Recognitions:
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Have you understood how Cramer's rule works?
You always work with the coefficient matrix. To find the n-th unkown, you replace the n-th column in the coefficient matrix ("A") by the column of the constants ("B") and you take its determinant and divide it by det(A). You do this for each unkown. Realise that this only works for non-singular (so regular) matrices A, since det(A) can't be 0. |
| Oct29-05, 06:40 PM | #6 |
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Ohh, I had no idea thats what cramer's rule really ment. Thank you! I'll see if I can figure these out and get the right values. When you say its gota be singular, what would be a case when i couldn't apply the determinant?
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| Oct30-05, 10:52 AM | #7 |
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awesome, that works, but i just found out that row reduction is the fastest, unless its going to be a big one!
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| Oct30-05, 10:58 AM | #8 |
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Cramer's rule is generally not of computational interest... however, it is good to know because it can be pretty handy for proving theorems.
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