3.Find the basis of eigen vectors and diaganalize of the matrix -8 11 3 4 -1 3 -4 10 6
are the vectors linear independent?
Well If you don't know if the vectors are lin indepent by inspection then row reduce to echelon form.
Then determine the number of pivot columns.
this is a step by step tutorial http://www.jtaylor1142001.net/calcjat/Solutions/Matrix/Eigenvalues/Eigenvalues-3x3-Constants/EV-3x3-Const-Layers.htm
what matrix are u talking about?
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.
The tutorial only finds the eigenvalues and does not find the eigenvectors or even diaganalizes the matrix at all.
How much have yo done?
to get eigen vectors u jus need to sub in the eigen values lol... anyway thread closed
you reduced matrix then solution equation Ax=0 A is matrix x is basis of eigen vectors
@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.
reduced matrix I all you have to do is get rid of all the lin dependent row from the matrix.
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.
Dude no one is going to give you the answer.
I think rows or columns is the same
Nope they are not the same.
my vector is x=(1,-1,1)
Nope you need to have two vectors for the basis.
and I think your method also true your vector are???????
They are all lin dependent on each other so it doesn't matter what vector you take out to form the basis.
I don't you study how as far as I know the both the same.
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