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Mathematics 21 Online
OpenStudy (chrisplusian):

Linear algebra question see attachment please.

OpenStudy (chrisplusian):

OpenStudy (chrisplusian):

Problem 3.6

ganeshie8 (ganeshie8):

what do you know about the relation betwen the equation `Ax=0` and the invertibility of matrix, A ?

OpenStudy (chrisplusian):

If Ax=0 then the matrix is non-invertible

OpenStudy (chrisplusian):

Correct?

ganeshie8 (ganeshie8):

you must be knowing that the column vectors in matrix A are `linearly dependent` if `Ax=0` has a solution other than the zero vector, right ?

OpenStudy (chrisplusian):

That part I am not familiar with

OpenStudy (chrisplusian):

Could you explain?

ganeshie8 (ganeshie8):

you seem to be having the right idea, let me put your statement more precicely : If Ax=0 has a nonzero solution, then the matrix is non-invertible

OpenStudy (chrisplusian):

What I know is that if Ax=0 has a solution other than zero the solution is not unique, and it has free variables. I did not know that the column vectors were linearly dependent, nor did I know that if Ax=0 has a nonzero solution that the matrix was non invertible

ganeshie8 (ganeshie8):

I'll let your professor teach you about linearly `independent / dependent` stuff For this problem. you just need to know this : `Ax = 0 has a nonzero solution only if the matrix A is not invertible`

OpenStudy (chrisplusian):

Ok

ganeshie8 (ganeshie8):

A is not invertible, so the determinant of A must be 0

ganeshie8 (ganeshie8):

set the determinant equal to 0, you get a quadratic which you can solve for \(\lambda\)

OpenStudy (chrisplusian):

Ok but can you explain why Ax=0 has a nonzero solution only if the matrix A is non invertible?

ganeshie8 (ganeshie8):

you need to know about the definitions of linearly independent and dependent vectors stuff, i prefer you not learning this from me...

ganeshie8 (ganeshie8):

By definition, if `Ax=0` has a nonzero solution, then the column vectors in A are said to be "linearly dependent"

ganeshie8 (ganeshie8):

Once you get the idea of "linearly dependence", you can try thinking of why a matrix with linearly dependent column vectors cannot be invertible

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