Upper-Triangular Matrices
[14/0%]Prove or give a counterexample: If and has an upper-triangular matrix with respect to some basis of , then has an upper-triangular matrix with respect to some basis of .
Suppose and are upper-triangular matrices of the same size, with on the diagonal of and on the diagonal of .
Show that is an upper-triangular matrix with on the diagonal.
Show that is an upper-triangular matrix with on the diagonal.
The results in this exercise are used in the proof of 5.81. Theorem 5.81 (eigenvalues of sum and product of commuting operators): suppose is a finite-dimensional complex vector space and are commuting operators on . Then every eigenvalue of is an eigenvalue of plus an eigenvalue of , and every eigenvalue of is an eigenvalue of times an eigenvalue of .
Suppose is invertible and is a basis of with respect to which the matrix of is upper triangular, with on the diagonal. Show that the matrix of is also upper triangular with respect to the basis , with
on the diagonal.
Give an example of an operator whose matrix with respect to some basis contains only 0 's on the diagonal, but the operator is invertible.
This exercise and the exercise below show that 5.41 fails without the hypothesis that an upper-triangular matrix is under consideration. Theorem 5.41 (determination of eigenvalues from upper-triangular matrix): suppose has an upper-triangular matrix with respect to some basis of . Then the eigenvalues of are precisely the entries on the diagonal of that upper-triangular matrix.
Give an example of an operator whose matrix with respect to some basis contains only nonzero numbers on the diagonal, but the operator is not invertible.
Suppose is finite-dimensional, and . Prove that if , then has a -dimensional subspace invariant under .
Suppose is finite-dimensional, , and .
Prove that there exists a unique monic polynomial of smallest degree such that .
Prove that the minimal polynomial of is a polynomial multiple of .
Suppose is finite-dimensional, , and there exists a nonzero vector such that .
Prove that if , then there does not exist a basis of with respect to which has an upper-triangular matrix.
Prove that if and is an upper-triangular matrix that equals the matrix of with respect to some basis of , then or appears on the diagonal of .
Suppose is a square matrix with complex entries. Prove that there exists an invertible square matrix with complex entries such that is an upper-triangular matrix.
Suppose and is a basis of . Show that the following are equivalent.
The matrix of with respect to is lower triangular.
is invariant under for each .
for each .
A square matrix is called lower triangular if all entries above the diagonal are .
Suppose and is finite-dimensional. Prove that if , then there exists a basis of with respect to which has a lower-triangular matrix.
Suppose is finite-dimensional, has an upper-triangular matrix with respect to some basis of , and is a subspace of that is invariant under .
Prove that has an upper-triangular matrix with respect to some basis of .
Prove that the quotient operator has an upper-triangular matrix with respect to some basis of .
The quotient operator was defined in Exercise 38 in Section 5A: suppose is finite-dimensional, , and is a subspace of invariant under ; the quotient operator is defined by for each .
Suppose is finite-dimensional and . Suppose there exists a subspace of that is invariant under such that has an uppertriangular matrix with respect to some basis of and also has an upper-triangular matrix with respect to some basis of . Prove that has an upper-triangular matrix with respect to some basis of .
Suppose is finite-dimensional and . Prove that has an uppertriangular matrix with respect to some basis of if and only if the dual operator has an upper-triangular matrix with respect to some basis of the dual space .