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Chapter 4 · Determinants

Exercise 4.1 · Q4: Show ∣3A∣=27∣A∣|3A|=27|A|

Exercise 4.1Determinant of a matrix of order 3 × 3 · Section 4.2.3
The question

If

A=[101012004],A = \begin{bmatrix} 1 & 0 & 1 \\ 0 & 1 & 2 \\ 0 & 0 & 4 \end{bmatrix},

then show that ∣3A∣=27∣A∣|3A| = 27|A|⁠.

Exam answer

Expanding along C1C_1⁠:

∣A∣=1∣1204∣−0+0=1(4−0)=4\begin{aligned} |A| &= 1\begin{vmatrix} 1 & 2 \\ 0 & 4 \end{vmatrix} - 0 + 0 \\ &= 1(4 - 0) = 4 \end{aligned} 3A=[3030360012]3A = \begin{bmatrix} 3 & 0 & 3 \\ 0 & 3 & 6 \\ 0 & 0 & 12 \end{bmatrix}

Expanding along C1C_1⁠:

∣3A∣=3∣36012∣−0+0=3(36−0)=108\begin{aligned} |3A| &= 3\begin{vmatrix} 3 & 6 \\ 0 & 12 \end{vmatrix} - 0 + 0 \\ &= 3(36 - 0) = 108 \end{aligned} 27∣A∣=27(4)=10827|A| = 27(4) = 108

∴ ∣3A∣=27∣A∣\therefore\ |3A| = 27|A|⁠. Hence proved.

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

Tripling a matrix triples every entry. Every term in the expansion of a 3×33\times3 determinant is a product of three entries, one from each row, so every term is multiplied by 3×3×3=273\times3\times3 = 27⁠. We confirm this by computing ∣A∣|A| and ∣3A∣|3A|⁠, each by expanding along the first column, which has two zeros.

Given, to show, and the plan
Given
The 3×33\times3 matrix AA with rows 1,0,11, 0, 1⁠; 0,1,20, 1, 2⁠; 0,0,40, 0, 4⁠.
To show
∣3A∣=27∣A∣|3A| = 27|A|⁠.
Plan
(1) Choose the row or column to expand along. (2) Compute ∣A∣|A|⁠. (3) Form 3A3A entry by entry. (4) Compute ∣3A∣|3A| the same way. (5) Compare with 27∣A∣27|A|⁠. (6) Explain the factor 27 in general.

Basics you need

1Expanding a 3×33\times3 determinant

Pick a row or a column. For each element aija_{ij} in it, delete row ii and column jj to leave a 2×22\times2 determinant, multiply it by aija_{ij} and by the sign (−1)i+j(-1)^{i+j}⁠, and add the three results (Section 4.2.3). Every row and every column gives the same value. Lesson: expanding a 3 × 3 determinant

2The sign pattern

(−1)i+j(-1)^{i+j} is +1+1 when i+ji + j is even and −1-1 when it is odd, giving the chessboard +−+−+−+−+\begin{matrix} + & - & + \\ - & + & - \\ + & - & + \end{matrix} Basics: the + − + sign pattern

3Expand along the most zeros

A zero element contributes 0×(anything)=00\times(\text{anything}) = 0⁠, so a row or column with many zeros saves work (Remark (i), Section 4.2.3).

4Multiplying a matrix by a number

3A3A multiplies every entry of AA by 3 and keeps the order (Chapter 3, Section 3.4.2). Basics: scaling and adding matrices

Solution

  1. Choose where to expand

    AA is 3×33\times3⁠, so ∣A∣|A| is a determinant of order 3. Count zeros: row 1 has one, row 2 has one, row 3 has two; column 1 has two, column 2 has two, column 3 has none. We expand along column 1 (C1C_1⁠), whose elements are 1,0,01, 0, 0⁠. The signs for C1C_1 are +,−,++, -, +⁠.

    Row 3, column 1 and column 2 all have two zeros, so any of them is equally quick. Column 1 has the extra convenience that its only nonzero element is 1. Whichever we choose, the value is the same (Section 4.2.3).
    Signs down column 1: (−1)1+1=+1(-1)^{1+1} = +1⁠, (−1)2+1=−1(-1)^{2+1} = -1⁠, (−1)3+1=+1(-1)^{3+1} = +1⁠. Basics: the sign pattern
  2. Compute ∣A∣|A| along column 1

    The three 2×22\times2 determinants left after deleting the row and column of each element of C1C_1⁠:

    a11=1: ∣1204∣=1⋅4−0⋅2=4a21=0: ∣0104∣=0⋅4−0⋅1=0a31=0: ∣0112∣=0⋅2−1⋅1=−1\begin{aligned} a_{11}=1:&\ \begin{vmatrix} 1 & 2 \\ 0 & 4 \end{vmatrix} = 1\cdot4 - 0\cdot2 = 4\\ a_{21}=0:&\ \begin{vmatrix} 0 & 1 \\ 0 & 4 \end{vmatrix} = 0\cdot4 - 0\cdot1 = 0\\ a_{31}=0:&\ \begin{vmatrix} 0 & 1 \\ 1 & 2 \end{vmatrix} = 0\cdot2 - 1\cdot1 = -1 \end{aligned}

    Signed sum:

    ∣A∣=(+1)(1)(4)+(−1)(0)(0)+(+1)(0)(−1)=4−0+0=4.\begin{aligned} |A| &= (+1)(1)(4) + (-1)(0)(0)\\ &\quad + (+1)(0)(-1)\\ &= 4 - 0 + 0 = 4. \end{aligned}
    For a11a_{11} we delete row 1 and column 1, leaving rows 1,21, 2 and 0,40, 4⁠. For a21a_{21} we delete row 2 and column 1, leaving 0,10, 1 and 0,40, 4⁠. For a31a_{31} we delete row 3 and column 1, leaving 0,10, 1 and 1,21, 2⁠. The last two are multiplied by the element 0, so they contribute nothing whatever their values; we show them only to make the expansion complete.
    Expansion along a column, Section 4.2.3, like the third-column expansion in Example 3. Lesson: expanding a 3 × 3 determinant
  3. Form 3A3A⁠, entry by entry

    3A=[3⋅13⋅03⋅13⋅03⋅13⋅23⋅03⋅03⋅4]=[3030360012].\begin{aligned} 3A &= \begin{bmatrix} 3\cdot1 & 3\cdot0 & 3\cdot1 \\ 3\cdot0 & 3\cdot1 & 3\cdot2 \\ 3\cdot0 & 3\cdot0 & 3\cdot4 \end{bmatrix}\\ &= \begin{bmatrix} 3 & 0 & 3 \\ 0 & 3 & 6 \\ 0 & 0 & 12 \end{bmatrix}. \end{aligned}

    3A3A is again 3×33\times3⁠, and its zeros are in the same places as those of AA⁠.

    Scalar multiplication triples all nine entries; zeros stay zero because 3⋅0=03\cdot0 = 0⁠. So column 1 is still the convenient column to expand along.
    kA=[k aij]kA = [k\,a_{ij}]⁠, Chapter 3, Section 3.4.2. Basics: scaling and adding matrices
  4. Compute ∣3A∣|3A| along column 1

    Column 1 of 3A3A is 3,0,03, 0, 0⁠, with signs +,−,++, -, +⁠:

    3: ∣36012∣=3⋅12−0⋅6=360: ∣03012∣=0⋅12−0⋅3=00: ∣0336∣=0⋅6−3⋅3=−9\begin{aligned} 3:&\ \begin{vmatrix} 3 & 6 \\ 0 & 12 \end{vmatrix} = 3\cdot12 - 0\cdot6 = 36\\ 0:&\ \begin{vmatrix} 0 & 3 \\ 0 & 12 \end{vmatrix} = 0\cdot12 - 0\cdot3 = 0\\ 0:&\ \begin{vmatrix} 0 & 3 \\ 3 & 6 \end{vmatrix} = 0\cdot6 - 3\cdot3 = -9 \end{aligned} ∣3A∣=(+1)(3)(36)+(−1)(0)(0)+(+1)(0)(−9)=108−0+0=108.\begin{aligned} |3A| &= (+1)(3)(36) + (-1)(0)(0)\\ &\quad + (+1)(0)(-9)\\ &= 108 - 0 + 0 = 108. \end{aligned}
    Compare with Step 2: the element 1 became 3 and the 2×22\times2 determinant 4 became 36, which is 32×43^2\times4 (by Exercise 4.1 Q3's rule ∣kB∣=k2∣B∣|kB| = k^2|B| for order 2). So the nonzero term grew by 3×9=273\times9 = 27⁠.
  5. Compare with 27∣A∣27|A|

    27∣A∣=27⋅4=108=∣3A∣.27|A| = 27\cdot4 = 108 = |3A|.

    So ∣3A∣=27∣A∣|3A| = 27|A|, as required.

    Both sides were computed independently and they agree. Note that 3∣A∣=123|A| = 12 and 9∣A∣=369|A| = 36 are both different from ∣3A∣|3A|⁠.
  6. Why the factor is 33=273^3 = 27 in general

    The full expansion of a 3×33\times3 determinant (equation (1) of Section 4.2.3) is a sum of six terms such as a11a22a33a_{11}a_{22}a_{33} and −a12a21a33-a_{12}a_{21}a_{33}⁠. Each term contains exactly one entry from each of the three rows. In kAkA each entry is multiplied by kk⁠, so each term is multiplied by k⋅k⋅k=k3k\cdot k\cdot k = k^3⁠:

    ∣kA∣=k3∣A∣for every 3×3 matrix A.|kA| = k^3|A| \quad\text{for every } 3\times3 \text{ matrix } A.

    With k=3k = 3⁠: ∣3A∣=27∣A∣|3A| = 27|A|⁠.

    This is Remark (iii) of Section 4.2.3: if A=kBA = kB for square matrices of order nn⁠, then ∣A∣=kn∣B∣|A| = k^n|B|⁠. The power is the order of the matrix, because that is how many entries each term multiplies together.
    Order 2 gives k2k^2 (Exercise 4.1 Q3); order 3 gives k3k^3⁠.
Result

∣A∣=4|A| = 4 and ∣3A∣=108|3A| = 108⁠, so ∣3A∣=108=27⋅4=27∣A∣|3A| = 108 = 27\cdot4 = 27|A|⁠. In general ∣kA∣=k3∣A∣|kA| = k^3|A| for every 3×33\times3 matrix. (The answer key gives no answer for this "show that" question.)

Check it with numbers

Expand along a different line to confirm both determinants. Row 3 of AA is 0,0,40, 0, 4 with signs +,−,++, -, +⁠; only the 4 counts, and deleting row 3 and column 3 leaves rows 1,01, 0 and 0,10, 1⁠, whose determinant is 11⁠. So ∣A∣=(+1)(4)(1)=4|A| = (+1)(4)(1) = 4 ✓. For 3A3A⁠, row 3 is 0,0,120, 0, 12⁠, and the 2×22\times2 determinant left is 3⋅3−0⋅0=93\cdot3 - 0\cdot0 = 9⁠, so ∣3A∣=12⋅9=108|3A| = 12\cdot9 = 108 ✓. In both cases the answer is the product of the diagonal entries, 1⋅1⋅4=41\cdot1\cdot4 = 4 and 3⋅3⋅12=1083\cdot3\cdot12 = 108⁠, because every entry below the diagonal is 0.

Common mistakes
  1. ∣3A∣=3∣A∣=12|3A| = 3|A| = 12⁠. All nine entries are tripled, and every term uses three of them, so the factor is 333^3⁠.
  2. ∣3A∣=9∣A∣|3A| = 9|A|, by remembering the 2×22\times2 rule k2k^2⁠. The power equals the order of the matrix.
  3. Forgetting the sign pattern when expanding. In column 1 the middle sign is −-⁠. It makes no difference here only because that element is 0.
What to take away
  1. ∣kA∣=kn∣A∣|kA| = k^n|A| for a square matrix of order nn⁠; for 3×33\times3 matrices the factor is k3k^3⁠.
  2. Expand along the row or column with the most zeros, and still state its sign pattern.
  3. If every entry below the main diagonal of a 3×33\times3 matrix is 0, expanding along column 1 gives a11(a22a33−0)a_{11}(a_{22}a_{33} - 0)⁠, the product of the diagonal entries. (If every entry above it is 0, expand along row 1 instead; the result is the same.)

Every fact used, and where it comes from

FactUsed inSource
Expansion of a 3×33\times3 determinant along any row or column, with signs (−1)i+j(-1)^{i+j}Steps 1, 2, 4; CheckSection 4.2.3 (Lesson: expanding a 3 × 3 determinant)
Expand along the line with most zeros; sign ±1\pm1 by parity of i+ji+jStep 1Remarks (i), (ii), Section 4.2.3
∣A∣=a11a22−a21a12|A| = a_{11}a_{22} - a_{21}a_{12} for order 2Steps 2, 4Section 4.2.2
kAkA multiplies every entry by kkStep 3Chapter 3, Section 3.4.2
Each term of the expansion has one entry from each rowStep 6Equation (1), Section 4.2.3
If A=kBA = kB (order nn⁠) then ∣A∣=kn∣B∣|A| = k^n|B|Step 6Remark (iii), Section 4.2.3
All determinants and minors on this pageSteps 2–5, CheckRecomputed in the site's verification script
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