State the conditions on the constants which A will be invertible? [k 0 0 0; 1 k 0 0 ; 0 1 k 0; 0 0 1 k]
from first glance, im gonna say that k isnt -1.
because if k was negative one, then the matrix equation Ax = 0 has a non trivial solution, the vector (1,1,1,1)
theres gotta be more to it though <.< ima think about it more lol
we're not necessarily looking for k? I know the answer but just don't know how they got it
may be you should use detA =/= 0
oops, i didnt look at the first row, disregard my answer
This section is before learning about determinants, it's in elementary matrices let me post the answer
isnt the determinant of that matrix k^4?
since it is triangular?
detA = k^4, so k=/= 0
right right :)
1/k^4 [k^2 0 0 0; -k^2 k^2 0 0; k -k^2 k^2 0; -1 k -k^2 k^2]
so they actually gave you the inverse of the matrix. thats what that guy looks like.
and you can see from the fraction on the outside that k^4 cant be 0 or we would be dividing by 0
so how do you go from the matrix to this answer?
you need to use row reduction
But neither of the matrices are row reduced?
The answer is the inverse correcT?
If that is the case you can find the inverse with row reduction.
The composition of the elementary operations required to take it to the identity is the inverse.
im trying to find that gross formula where you use the cofactors of the matrix, its something like: \[A^{-1} = \frac{1}{detA}A_c\] i dont like using it but it might be the best way to do this problem. do you know what im talking about Alchemista?
The simplest way to find the inverse is by setting up two matrices. One is the original matrix one is the identity.
As you perform row operations on the original matrix perform the same on the identity.
Gotcha yeah that's how I got it too now
When you reduce it to the identity the other matrix will be the inverse.
thanks for your help everyone
the adjugate matrix, using this: http://en.wikipedia.org/wiki/Cofactor_(linear_algebra)
I guess that works too but I think the other way is simplest?
Yes I understand what you are saying but its not as efficient as row reduction. In fact calculating the det in some cases will be much worse than row reduction.
its a diagonal matrix >.< its gonna be really easy to get determinants i know this isnt efficient all the time, i hate this method, but the matrix calls for it
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