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This assignment covers various topics in linear algebra, including finding linearly independent matrices in a family of commuting matrices, eigenvectors and diagonalization of specific matrices, and properties of nilpotent matrices. Students are required to solve problems related to finding eigenvectors, diagonalizing matrices, computing determinants, and understanding the effect of permutation matrices on other matrices.
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Assignment 9
This assignment is worth fifty points. It is due Wednesday, November 22, 2006 before 3 PM. (Turn it
in to my office or my department mailbox.)
None of these problems are from chapter seven of our textbook; please do not use the theorems from
that chapter.
(a) Let F be a family of commuting 3 × 3 complex matrices. How many linearly independent
matrices can F contain?
(b) What about the n × n case?
(a) Find a basis of eigenvectors for Jn.
(b) Let In be the n × n identity matrix and s, t scalars. Diagonalize the matrix sIn + tJn.
(c) Compute the determinant of sIn + tJn.
(a) Find a basis of eigenvectors for Ln.
(b) Let Mn (a, b) be a 2n × 2 n matrix with a on the diagonal, b on the “anti-diagonal”, and zeros
elsewhere – that is, the (i, i) entries of M are a, the (i, n + 1 − i) entries of M are b, and all
the rest of the entries are zero.
(For example, here is M 3 (2, 5) :
(c) Diagonalize Mn (a, b). (Note that Mn (a, b) is in the linear algebra generated by L 2 n .)
(a) Write out P.
(b) Given a 5 × 5 matrix A, what is the effect of pre-multiplying A by P? (That is, how does A
compare to P A?)
What is the effect of post-multiplying A by P? (How do A and AP compare?)
(c) Show that the minimal polynomial of P is x 5 − 1.
(d) Let ζ := e
2 πi (^5) = cos( 2 π 5
) + i sin(
2 π 5
). Note that ζ
5 = 1. Show that the vector α 1 :=
ζ
ζ
2
ζ
3
ζ
4
is an
eigenvector for P.
(e) Find a basis for C
5 consisting of eigenvectors of P.
(f) The linear algebra generated by P is the set < P >= {f(P ) : f ∈ C[x]}. Give a C-basis for
this linear algebra.
(g) Show that the set of elements of the linear algebra < P > can be simultaneously diagonalized.
Given a general polynomial f ∈ C[x], explicitly give the diagonal matrix corresponding to
f(P ).
that the nullity of T is at least
n k
(Hint: I would do this by induction. Assume as an inductive hypothesis that the claim is true for
all linear transformations of index j < k. Given T nilpotent of index k, define W to be the nullspace
of T k− 1
. Then W is T -invariant (show this!) and so we may define an operator U which is the
restriction of T to W. Note that U is nilpotent of index less than k... .)