Back to Linear Algebra

Exploration

Patterns behind the nonsingularity formulas for small matrices: one entry from each row and column per term, and why some terms are subtracted.

Linear Algebra, Exploration

Status
FlagsLoading your progress…

19 exercises

Exercise 1

Evaluate the determinant of each.

  • (a)  (31−11)\begin{pmatrix}3&1\\ -1&1\end{pmatrix}     (b)  (201311−101)\begin{pmatrix}2&0&1\\ 3&1&1\\ -1&0&1\end{pmatrix}     (c)  (40100113−1)\begin{pmatrix}4&0&1\\ 0&0&1\\ 1&3&-1\end{pmatrix}

3.0

Exercise 2

Evaluate the determinant of each.

  • (a)  (20−13)\begin{pmatrix}2&0\\ -1&3\end{pmatrix}     (b)  (21105−21−34)\begin{pmatrix}2&1&1\\ 0&5&-2\\ 1&-3&4\end{pmatrix}     (c)  (234567891)\begin{pmatrix}2&3&4\\ 5&6&7\\ 8&9&1\end{pmatrix}

3.0

Exercise 3

Verify that the determinant of an upper-triangular 3 ⁣× ⁣33\!\times\!3 matrix is the product down the diagonal.

Do lower-triangular matrices work the same way?

3.0

Exercise 4

Use the determinant to decide if each is singular or nonsingular.

  • (a)  (2131)\begin{pmatrix}2&1\\ 3&1\end{pmatrix}     (b)  (011−1)\begin{pmatrix}0&1\\ 1&-1\end{pmatrix}     (c)  (4221)\begin{pmatrix}4&2\\ 2&1\end{pmatrix}

3.0

Exercise 5

Singular or nonsingular? Use the determinant to decide.

  • (a)  (211322014)\begin{pmatrix}2&1&1\\ 3&2&2\\ 0&1&4\end{pmatrix}     (b)  (101211413)\begin{pmatrix}1&0&1\\ 2&1&1\\ 4&1&3\end{pmatrix}     (c)  (2103−20100)\begin{pmatrix}2&1&0\\ 3&-2&0\\ 1&0&0\end{pmatrix}

3.0

Exercise 6

Each pair of matrices differ by one row operation. Use this operation to compare det⁡(A)\det(A) with det⁡(B)\det(B).

  • A=(1223)A=\begin{pmatrix}1&2\\ 2&3\end{pmatrix}, B=(120−1)B=\begin{pmatrix}1&2\\ 0&-1\end{pmatrix}

  • A=(310001012)A=\begin{pmatrix}3&1&0\\ 0&0&1\\ 0&1&2\end{pmatrix}, B=(310012001)B=\begin{pmatrix}3&1&0\\ 0&1&2\\ 0&0&1\end{pmatrix}

  • A=(1−1322−6104)A=\begin{pmatrix}1&-1&3\\ 2&2&-6\\ 1&0&4\end{pmatrix}, B=(1−1311−3104)B=\begin{pmatrix}1&-1&3\\ 1&1&-3\\ 1&0&4\end{pmatrix}

3.0

Exercise 7

Find the determinant of this 4 ⁣× ⁣44\!\times\!4 matrix by following the plan: perform Gauss’s Method and look for the determinant to remain unchanged on a row combination, to change sign on a row swap, to rescale on the rescaling of a row, and such that the determinant of the echelon form matrix is the product down its diagonal.

3.0

Exercise 8

Show this.

3.0

Exercise 9

Which real numbers xx make this matrix singular?

3.0

Exercise 10

Do the Gaussian reduction to check the formula for 3 ⁣× ⁣33\!\times\!3 matrices stated in the preamble to this section.

(abcdefghi)\begin{pmatrix}a&b&c\\ d&e&f\\ g&h&i\end{pmatrix} is nonsingular iff aei+bfg+cdh−hfa−idb−gec≠0aei+bfg+cdh-hfa-idb-gec\neq 0

3.0

Exercise 11

Show that the equation of a line in R2\mathbb{R}^{2} through (x1,y1)(x_{1},y_{1}) and (x2,y2)(x_{2},y_{2}) is given by this determinant.

3.0

Exercise 12

Many people have learned this mnemonic for the determinant of a 3 ⁣× ⁣33\!\times\!3 matrix: copy the first two columns to the right side of the matrix, then take the products down the forward diagonals and add them together, and then take the products on the backward diagonals and subtract them. That is, first write

and then calculate this.

  • Check that this agrees with the formula given in the preamble to this s…

3.0

Exercise 13

The cross product of the vectors

is the vector computed as this determinant.

Note that the first row’s entries are vectors, the vectors from the standard basis for R3\mathbb{R}^{3}. Show that the cross product of two vectors is perpendicular to each vector.

3.0

Exercise 14

Prove that each statement holds for 2 ⁣× ⁣22\!\times\!2 matrices.

  • The determinant of a product is the product of the determinants det⁡(ST)=det⁡(S)⋅det⁡(T)\det(ST)=\det(S)\cdot\det(T).

  • If TT is invertible then the determinant of the inverse is the inverse of the determinant det⁡(T−1)=( det⁡(T) )−1\det(T^{-1})=(\,\det(T)\,)^{-1}.

Matrices TT and T′T^{\prime} are similar if there is a nonsingular matrix PP such that T′=PTP−1T^{\prime}=PTP^{-1}. (We shall look at this relationship in Chapter Five.) Show that similar 2 ⁣× ⁣22\!\times\!2 matrices have the same determinant.

3.0

Exercise 16

Prove that for 2 ⁣× ⁣22\!\times\!2 matrices, the determinant of a matrix equals the determinant of its transpose. Does that also hold for 3 ⁣× ⁣33\!\times\!3 matrices?

3.0

Exercise 17

Is the determinant function linear  — is det⁡(x⋅T+y⋅S)=x⋅det⁡(T)+y⋅det⁡(S)\det(x\cdot T+y\cdot S)=x\cdot\det(T)+y\cdot\det(S)?

3.0

Exercise 18

Show that if AA is 3 ⁣× ⁣33\!\times\!3 then det⁡(c⋅A)=c3⋅det⁡(A)\det(c\cdot A)=c^{3}\cdot\det(A) for any scalar cc.

3.0

Exercise 19

Which real numbers θ\theta make

singular? Explain geometrically.

3.0

Exercise 20

If a third order determinant has elements 11, 22, …, 99, what is the maximum value it may have?

3.0

Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.