Vector Spaces
Maths and statistics discussion, revision, exam and homework help.
-
Vector Spaces
A matrix
represents a linear transformation
with respect to the basis
where the matrix is
.
If
can be represented by a diagonal matrix
, find
and a basis of
with respect to
which represents
. Also find non-singular matrix
such that
, where
is the matrix representing
with respect to
.
If
and
. How would I go about finding the new basis?
Last edited by JBKProductions; 16-04-2012 at 15:06. -
Re: Vector SpacesAre the answers(the new basis) not necessarily unique? If the eigenvalues have algebraic multiplicity 2 for example and you can find two linearly independent eigenvectors, then the matrix(Original post by nuodai)
The new basis is the set of columns of
. A matrix is diagonal if and only if it is represented w.r.t. a basis of eigenvectors.
would depend on how you write out the eigenvectors?
-
Re: Vector SpacesThe answers are certainly not unique, you can choose any basis of eigenvectors you like. You can try and make it 'more unique' by requiring your basis vectors to be normalized and satisfy some kind of orientation relation -- in fact, in some cases (e.g. Hermitian matrices) you can even take your basis to be orthonormal -- but even then you're still free to change sign and so on.(Original post by JBKProductions)
Are the answers(the new basis) not necessarily unique? If the eigenvalues have algebraic multiplicity 2 for example and you can find two linearly independent eigenvectors, then the matrix
would depend on how you write out the eigenvectors?
-
Re: Vector SpacesEven if an eigenvalue has multiplicity 1 then there is plenty of choice: Any non-zero vector in a 1-dimensional space is a basis.(Original post by JBKProductions)
Are the answers(the new basis) not necessarily unique? If the eigenvalues have algebraic multiplicity 2 for example and you can find two linearly independent eigenvectors, then the matrix
would depend on how you write out the eigenvectors?