Chapter Problems
[16/100%]Let
Calculate , , , .
Consider the matrices
which are invertible. Is invertible?
Let be an unitary matrix. Can we conclude that is a unitary matrix?
Let and
Thus . Find .
Let , be matrices. Show that .
Let
be symmetric matrices over . Assume that and are positive definite. Show that is positive definite using the trace and determinant.
Let be an matrix over . The spectral radius is the radius of the smallest circle in the complex plane that contains all its eigenvalues. Every characteristic polynomial has at least one root. Let , be nonnegative matrices. Then . Apply this inequality to the nonnegative matrices
There exists an selection matrix such that , where is defined as the matrix with the matrix of zeros except for a in the -th position (elementary matrices). Prove this identity for the special case .
If are positive definite matrices and are the diagonal entries of , then
with equality if and only if is a diagonal matrix. Let
First show that and are positive definite and then calculate the left- and right-hand side of .
Consider the symmetric matrices
Calculate the Hadamard product . Show that , where the norm is given by the Hilbert-Schmidt norm.
Let , , and be matrices over . Show that
Let , be two matrices of the same order. If all entries of are nonzero, then we say that is Schur invertible and define its Schur inverse, , by , where is the matrix with all 's.
The vector space of matrices acts on itself in three distinct ways: if we can define endomorphisms , and by
Let , be matrices. Assume that is invertible and is invertible in the sense of Schur. Note that is invertible if and only if is, and is invertible if and only if the Schur inverse is defined. We say that is a one-sided Jones pair if
We call this the braid relation. Give an example for a one-sided Jones pair.
Let , be matrices. Let be the standard basis vectors in . We form the column vectors , . If is invertible and is Schur invertible, then for any
is a basis of the vector space . Let
Find these bases for these matrices.
Let be a diagonalizable matrix with eigenvalues . Thus, there is nonsingular matrix such that
Show that
Thus the vector of eigenvalues of is transformed to the vector of its diagonal entries by the coefficient matrix .
Let , , , be matrices over . Let be a row vector in . Show that
where is a diagonal matrix with and .
Given two matrices and of the same size. If all entries of are nonzero, then we say that is Schur invertible and define its Schur inverse, , by . Equivalently, we have , where is the matrix with all ones. An matrix is a type-II matrix if
where is the identity matrix. Find such a matrix for .
Let , , , be matrices and be the Kronecker product. Is