Are eigenvectors independent





I know about (and have seen proof of) the fact that eigenvectors
corresponding to distinct eigenvalues form a lin. independent seet.
(**)

But what about this type of situation:

Say a matrix A has 5 eigenvalues (where one of them as multiplicity 2
as a root of characteristic equation of A).

We are able to get 2 independent eigenvectors for this multiplicity 2
eigenvalue.
Is it true that these 2 eigenvectors along with the other 4 (each
related to a multiplicity 1 root) make an independent set? What is the
reasoning behind this?

At first I thought it was obvious (by using theorem (**) 2 times), but
then I realized it wasn't.

Say we have 3 vectors a,b,c. If {a,b} is indep. and {b,c} is indep and
{a,c} is indep., how can we say that {a,b,c} is independent? (I
actually thought this was obviously true, but then realized it wasn't
true for many cases).

.



Relevant Pages

  • Re: Checking names of eigenvalue "multiplicities"
    ... an eigenvalue e as the dimension of its space of generalised ... - perhaps algebraically closed in general, but Axler doesn't ... is usually called the "algebraic" multiplicity, ... the subspace spanned by the eigenvectors of given eigen- ...
    (sci.math)
  • Re: Checking names of eigenvalue "multiplicities"
    ... an eigenvalue e as the dimension of its space of generalised ... is usually called the "algebraic" multiplicity, ... the subspace spanned by the eigenvectors of given eigen- ... some power of T - lambda I, ...
    (sci.math)
  • Re: Are eigenvectors independent
    ... Say a matrix A has 5 eigenvalues (where one of them as multiplicity 2 ... as a root of characteristic equation of A). ... We are able to get 2 independent eigenvectors for this multiplicity 2 ... If is indep. ...
    (sci.math)
  • Re: Are eigenvectors independent
    ... We are able to get 2 independent eigenvectors for this multiplicity 2 ... I think he is *assuming* the existence of two linearly independent ...
    (sci.math)
  • Re: Are eigenvectors independent
    ... Say a matrix A has 5 eigenvalues (where one of them as multiplicity 2 ... We are able to get 2 independent eigenvectors for this multiplicity 2 ... I think he is *assuming* the existence of two linearly independent ... Then 1 is a root of the characteristic polynomial with multiplicity 2, ...
    (sci.math)