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anastasis
Oct6-09, 04:29 PM
1. The problem statement, all variables and given/known data

How do I show that the cp is p(x)=x^n, dimA=n?

2. Relevant equations

A^k=0 for some k (obviously need to show k=n); p(A)=0

3. The attempt at a solution

p(A)=0 <=> A^n + ... + det(A)=0

anastasis
Oct6-09, 05:23 PM
How do I show that the cp of A is p(x)=x^n, dimA=n?

slider142
Oct6-09, 08:43 PM
This is a trivial consequence of Cayley-Hamilton (http://en.wikipedia.org/wiki/Cayley%E2%80%93Hamilton_theorem).

anastasis
Oct6-09, 08:56 PM
i see that p(A)=0 and that p(A)=A^n +...+det(A) BUT I'm still a bit confused by some details. A is nilpotent <=> A^k=0 ... must show k=n for one thing.

slider142
Oct6-09, 09:47 PM
i see that p(A)=0 and that p(A)=A^n +...+det(A) BUT I'm still a bit confused by some details. A is nilpotent <=> A^k=0 ... must show k=n for one thing.

Suppose p(A) is not xn. Then it is some nontrivial (not xn) polynomial of degree n, which implies A satisfies said polynomial. Show that this leads to a contradiction.

HallsofIvy
Oct7-09, 08:34 AM
Suppose \lambda is an eigenvalue of A: that is, Av= \lambda v for some non-zero vector v. Then A^2v= \lamba Av= \lambda^2 v and, continuing like that A^n v= \lambda^n v= 0[/itex]. Actually, that proves that all eigenvalues are 0 but what you need is that all eigenvalues satisfy \lambda^n= 0.

HallsofIvy
Oct7-09, 08:56 AM
This was also posted under "Mathematics- Abstract and Linear Algebra". I have merged the threads here.

trambolin
Oct8-09, 08:10 AM
I am almost always tempted to correct the theorem statement as

"... satisfies the matrix version of the characteristic polynomial"

since the right hand side zeros of the the two cases are different objects. But it is a technical puristic bla bla. I know!