Eigenvectors and Upper Triangular Matrices

Def: Let T∈L(V) and m∈N+, then

Def:************ Let T∈L(V) and p∈P(F) is a polynomial given by:

p(z)=∑k=0makzk

for z∈F. Then p(T) is the operator defined by:

p(T)=∑k=0makTk

Def: If p,q∈P(F) , then pq∈P(F) is the polynomial defined by

(pq)(z)=p(z)q(z)

Th: Suppose p,q∈P(F) and T∈L(V). Then

Th: Every operator on a finite dimensional, nonzero, complex vector space has an eigenvalue.

Th: Suppose Va finite dimensional complex vector space and T∈L(V). Then T has an upper-triangular matrix with respect to some basis of V.

Th:* Suppose T∈L(V) has an upper-triangular matrix with respect to some basis of V. Then T is invertible iff all the entries on the diagonal of that upper-triangular matrix are nonzero.

Th: Suppose T∈L(V) and v is an eigenvector of T with eigenvalue λ. If p∈P(F), then p(T)v=p(λ)v.

Th: Suppose S,T∈L(V) and S is invertible. If p∈P(F), then p(STS−1)=Sp(T)S−1.