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Mathematics 8 Online
OpenStudy (anonymous):

3.Find the basis of eigen vectors and diaganalize of the matrix -8 11 3 4 -1 3 -4 10 6

OpenStudy (anonymous):

are the vectors linear independent?

OpenStudy (anonymous):

Well If you don't know if the vectors are lin indepent by inspection then row reduce to echelon form.

OpenStudy (anonymous):

Then determine the number of pivot columns.

OpenStudy (anonymous):

what matrix are u talking about?

OpenStudy (anonymous):

We can still find the eigenvectors but we still have to determine what the basis is and that's the easy part of this problem so let's do that first.

OpenStudy (anonymous):

The tutorial only finds the eigenvalues and does not find the eigenvectors or even diaganalizes the matrix at all.

OpenStudy (anonymous):

How much have yo done?

OpenStudy (anonymous):

to get eigen vectors u jus need to sub in the eigen values lol... anyway thread closed

OpenStudy (anonymous):

you reduced matrix then solution equation Ax=0 A is matrix x is basis of eigen vectors

OpenStudy (anonymous):

@chanh_chung So in order to get the basis of the matrix you still need to have n vectors. I thought all you have to do is get rid of all the lin dependent columns from the matrix.

OpenStudy (anonymous):

reduced matrix I all you have to do is get rid of all the lin dependent row from the matrix.

OpenStudy (anonymous):

You don't take away row because if you do then you lose span. The key point about Basis is that it must span the vector space and have a set of lin ind vectors. When we refer to span we refer to the entries the matrix. The basis must span R^m which is this case is n=3 this means that the vectors in the basis must have three entries but if you take away a row you take away an entry therefor it doesn't span R^3 and we conclude that it is not a basis.

OpenStudy (anonymous):

Dude no one is going to give you the answer.

OpenStudy (anonymous):

I think rows or columns is the same

OpenStudy (anonymous):

Nope they are not the same.

OpenStudy (anonymous):

my vector is x=(1,-1,1)

OpenStudy (anonymous):

Nope you need to have two vectors for the basis.

OpenStudy (anonymous):

and I think your method also true your vector are???????

OpenStudy (anonymous):

They are all lin dependent on each other so it doesn't matter what vector you take out to form the basis.

OpenStudy (anonymous):

I don't you study how as far as I know the both the same.

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