Eigenvectors and Upper Triangular Matrices

Subjects: Linear Algebra
Links: Eigenvalues, Matrix Representation of Linear Transformations, Polynomial Ring of a Single Variable

Def: Let TL(V) and mN+, then

Def:************ Let TL(V) and pP(F) is a polynomial given by:

p(z)=k=0makzk

for zF. Then p(T) is the operator defined by:

p(T)=k=0makTk

Def: If p,qP(F) , then pqP(F) is the polynomial defined by

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

Th: Suppose p,qP(F) and TL(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 TL(V). Then T has an upper-triangular matrix with respect to some basis of V.

Th:* Suppose TL(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 TL(V) and v is an eigenvector of T with eigenvalue λ. If pP(F), then p(T)v=p(λ)v.

Th: Suppose S,TL(V) and S is invertible. If pP(F), then p(STS1)=Sp(T)S1.