Exercise 1.
Prove .
Exercise 2. Find
for (all elements are one).
Exercise 3. Let
,
prove
is not an eigenvector of .
Exercise 4. For
,
is
an eigenvector for
Exercise 5.
Prove that for ,
is a singular value.
Exercise 6.
Consider the mapping
-
Prove is a linear map. Find its
matrix representation, .
-
Prove is orthogonal.
-
Prove that the eigenvectors of
are
-
Find the eigenvalues
Exercise 7. Let
(the
spectral radius of ). Prove
Exercise 8. Why
do similar matrices have the same eigenvalues? Give both a proof and
an intuitive explanation.
Exercise 9.
Consider ,
,
,
.
Find the eigenvalues and eigenvectors of
Exercise 10.
Prove that eigenvalues of
skew-symmetric ()
are purely imaginary ().
Exercise 11. Let
denote a diagonal matrix. Prove
that .
Exercise 12.
Prove that for
non-defective .
Exercise 13.
Prove the Cayley-Hamilton theorem (generalization of Ex.11,
Ex. 12), .
Exercise 14. For
normal, prove
is normal.
Exercise 15. For
normal, prove that
have the same eigenvectors.
Exercise 16.
Prove .
Exercise 17.
Find all
such that
is unitary for some .
Exercise 18. For
is
an eigenvector for
Exercise 19.
Find the characteristic polynomial of
Exercise 20. Let
be tridiagonal with non-zero
subdiagonal entries. Prove that eigenvalues of
are distinct.