Find the inverse of each matrix in the prior question with
Theorem 1.9.
Answer
The matrix has a zero determinant, and so
has no inverse.
Problem 6
Find the matrix adjoint to this one.
Answer
This exercise is recommended for all readers.
Problem 7
Expand across the first row to derive the formula for the determinant
of a matrix.
Answer
The determinant
expanded on the first row gives (note the two minors).
This exercise is recommended for all readers.
Problem 8
Expand across the first row to derive the formula for the determinant
of a matrix.
Answer
The determinant of
is this.
This exercise is recommended for all readers.
Problem 9
Give a formula for the adjoint of a matrix.
Use it to derive the formula for the inverse.
Answer
This exercise is recommended for all readers.
Problem 10
Can we compute a determinant by expanding down the diagonal?
Answer
No.
Here is a determinant whose value
doesn't equal the result of
expanding down the diagonal.
Problem 11
Give a formula for the adjoint of a diagonal matrix.
Answer
Consider this diagonal matrix.
If then the minor is an matrix
with only nonzero entries, because both and are
deleted.
Thus, at least one row or column of the minor is all zeroes, and
so the cofactor is zero.
If then the minor is the diagonal matrix with entries
, ..., , , ..., .
Its determinant is obviously
times the product of those.
By the way, Theorem 1.9 provides a slicker way to derive this conclusion.
This exercise is recommended for all readers.
Problem 12
Prove that the transpose of the adjoint is the adjoint of the transpose.
Answer
Just note that if then the cofactor equals the cofactor because and because the minors are the transposes of each other (and the determinant of a transpose equals the determinant of the matrix).
Problem 13
Prove or disprove: .
Answer
It is false; here is an example.
Problem 14
A square matrix is upper triangular if
each entry is zero in the part above the diagonal,
that is, when .
Must the adjoint of an upper triangular matrix be upper triangular?
Lower triangular?
Prove that the inverse of a upper triangular matrix
is upper triangular, if an inverse exists.
Answer
An example
suggests the right answer.
The result is indeed upper triangular.
A check of this is detailed but not hard.
The entries in the upper triangle of the adjoint are
where .
We need to verify that the cofactor is zero if .
With , row and column of ,
when deleted, leave an upper triangular minor,
because entry of the minor is either entry of
(this happens if and ;
in this case implies that the entry is zero)
or it is entry of (this happens if and
; in this case, implies that , which implies
that the entry is zero), or it is entry of
(this last case happens when and ; obviously here
implies that and so the entry is zero).
Thus the determinant of the minor is the product down the
diagonal.
Observe that the entry of is the
entry of the minor (it doesn't get
deleted because the relation is strict).
But this entry is zero because is upper triangular and
.
Therefore the cofactor is zero, and the adjoint is upper triangular.
(The lower triangular case is similar.)
This is immediate from the prior part, by
Corollary 1.11.
Problem 15
This question requires material from the optional Determinants Exist subsection.
Prove Theorem 1.5
by using the permutation expansion.
Answer
We will show that each determinant can be expanded along
row .
The argument for column is similar.
Each term in the permutation expansion contains one and
only one entry from each row.
As in Example 1.1,
factor out each row entry to get
,
where each is a sum of terms not containing any
elements of row .
We will show that is the cofactor.
Consider the case first:
where the sum is over all -permutations such that
.
To show that
is the minor , we need only show
that if is an -permutation such that
and
is an -permutation with
, ...,
then .
But that's true because and
have the same number of inversions.
Back to the general case. Swap adjacent rows until the -th is last and swap adjacent columns until the -th is last. Observe that the determinant of the -th minor is not affected by these adjacent swaps because inversions are preserved (since the minor has the -th row and -th column omitted). On the other hand, the sign of and is changed plus times. Thus .
Problem 16
Prove that the determinant of a matrix equals the determinant of its
transpose using Laplace's expansion and induction on the size
of the matrix.
Answer
This is obvious for the base case.
For the inductive case, assume that the determinant of a matrix equals the determinant of its transpose for all , ..., matrices. Expanding on row gives and expanding on column gives Since the signs are the same in the two summations. Since the minor of is the transpose of the minor of , the inductive hypothesis gives .
? Problem 17
Show that
where is the -th term of
, the Fibonacci sequence,
and the determinant is of order .
(Walter & Tytun 1949)
Answer
This is how the answer was given in the cited source.
Denoting the above determinant by , it is seen that
, .
It remains to show that .
In subtract the -th column from the -th,
the -th from the -th, ..., the first from
the third, obtaining
By expanding this determinant with reference to the first row, there results the desired relation.
Walter, Dan (proposer); Tytun, Alex (solver) (1949), "Elementary problem 834", American Mathematical Monthly, American Mathematical Society, 56 (6): 409.