Diagonal bases in transformations

In summary, we are asked to find a basis B' for R3 relative to which the matrix for the linear operator T is diagonal, using the standard basis B for R3. We first find the standard matrix for T and then calculate its characteristic equation, which turns out to be (lambda)^3 -3(lambda) + 2 = 0. After visual inspection, we can see that the root 1 is a real solution.
  • #1
derryck1234
56
0

Homework Statement



Let T: R3 - R3 be the linear operator given by

T = -y + z
-x + z
x + y

Find a basis B' for R3 relative to which the matrix for T is diagonal using the standard basis B for R3.

Homework Equations



[T]B' = P-1[T]BP

The Attempt at a Solution



I find the standard matrix for T to be

0 -1 1
-1 0 1
1 1 0

The characteristic equation of which, I find to be

(lambda)^3 -3(lambda) + 2 = 0

Which has no real solutions? What can I do?

Thanks

Derryck
 
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  • #2
well the matrix is symmetric so that should ensure real eigenvalues...

from visual inspection it appears 1 is a root
 
  • #3
Hi Derryck! :smile:

(have a lambda: λ and try using the X2 icon just above the Reply box :wink:)
derryck1234 said:
(lambda)^3 -3(lambda) + 2 = 0

Which has no real solutions?

erm :redface:

how can a cubic equation have no real solutions? :wink:
 
  • #4
I also got the same characteristic equation as well...
 
  • #5
Ok thanks guys. See the thing is I just put it into excel to help me find roots. I must have entered the wrong formula though:( It came up with an irrational number? Anyway...I can definitely see that 1 is a root now...thanks...
 

FAQ: Diagonal bases in transformations

What are diagonal bases in transformations?

Diagonal bases in transformations refer to a basis in which the transformation matrix is diagonal. This means that the matrix only has non-zero values along the main diagonal, and all other values are zero. In other words, the basis vectors are scaled versions of the standard basis vectors.

Why are diagonal bases important in transformations?

Diagonal bases are important in transformations because they simplify calculations and make it easier to understand the transformation. This is because the transformation matrix only consists of scaling factors along the main diagonal, making it easier to visualize and analyze the transformation.

How do you find a diagonal basis for a transformation?

To find a diagonal basis for a transformation, you need to first find the eigenvalues and eigenvectors of the transformation matrix. The eigenvectors will form the basis of the diagonal matrix, and the eigenvalues will be the scaling factors along the main diagonal. You can then use the eigenvalues to create a diagonal matrix and use the eigenvectors to create the transformation matrix.

Can all transformations have a diagonal basis?

No, not all transformations can have a diagonal basis. Only square matrices can have a diagonal basis, and even then, not all square matrices have a diagonal basis. For a transformation to have a diagonal basis, it must have a full set of linearly independent eigenvectors.

How are diagonal bases related to eigenvalues and eigenvectors?

Diagonal bases are closely related to eigenvalues and eigenvectors. The eigenvectors form the basis of the diagonal matrix, and the eigenvalues are the scaling factors along the main diagonal. In other words, the eigenvectors and eigenvalues determine the diagonal basis for a transformation.

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