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Chapter 3 · Matrices

Exercise 3.2 · Q17: Find kk with A2=kA−2IA^2=kA-2I

Exercise 3.2Multiplication of matrices · Section 3.4
The question

If

A=[3−24−2],I=[1001],A = \begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix}, \quad I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix},

find kk so that A2=kA−2IA^2 = kA - 2I⁠.

Exam answer A2=[3−24−2][3−24−2]=[9−8−6+412−8−8+4]=[1−24−4]\begin{aligned} A^2 &= \begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix}\begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix} \\ &= \begin{bmatrix} 9-8 & -6+4 \\ 12-8 & -8+4 \end{bmatrix} \\ &= \begin{bmatrix} 1 & -2 \\ 4 & -4 \end{bmatrix} \end{aligned} kA−2I=[3k−2k4k−2k]−[2002]=[3k−2−2k4k−2k−2]\begin{aligned} kA - 2I &= \begin{bmatrix} 3k & -2k \\ 4k & -2k \end{bmatrix} - \begin{bmatrix} 2 & 0 \\ 0 & 2 \end{bmatrix} \\ &= \begin{bmatrix} 3k - 2 & -2k \\ 4k & -2k - 2 \end{bmatrix} \end{aligned}

Since A2=kA−2IA^2 = kA - 2I⁠, equating corresponding entries,

3k−2=1⇒k=1−2k=−2⇒k=14k=4⇒k=1−2k−2=−4⇒k=1\begin{aligned} 3k - 2 = 1 &\Rightarrow k = 1 \\ -2k = -2 &\Rightarrow k = 1 \\ 4k = 4 &\Rightarrow k = 1 \\ -2k - 2 = -4 &\Rightarrow k = 1 \end{aligned}

∴ k=1\therefore\ k = 1⁠.

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

The one idea this problem is built on

A matrix equation between 2×22\times2 matrices is really four ordinary equations, one for each entry. Compute both sides as matrices, set corresponding entries equal, and solve. Because there is one unknown but four equations, a value of kk exists only if all four equations give the same kk⁠; checking that is part of the answer.

Given, to find, and the plan
Given
The 2×22\times2 matrix AA and the identity II of order 2.
To find
The number kk for which A2=kA−2IA^2 = kA - 2I⁠.
Plan
(1) Check orders. (2) Compute A2A^2 entry by entry. (3) Write kA−2IkA - 2I entry by entry in terms of kk⁠. (4) Equate the four pairs of entries and solve each. (5) Confirm that one kk satisfies all four, and substitute back.

Basics you need

1Row times column

The (i,k)(i,k) entry of PQPQ is row ii of PP times column kk of QQ⁠: multiply matching entries and add. Basics: pair up, multiply, add

2Scalar multiples and differences

kAkA multiplies every entry by kk⁠; P−QP - Q subtracts entry by entry (same order needed). Basics: adding only like with like

3Equal matrices, equal entries

Two matrices of the same order are equal exactly when every pair of corresponding entries is equal. Lesson: equality of matrices

4Solving a linear equation

Collect the unknown on one side, then divide by its coefficient. Basics: solving equations

Solution

  1. Check the orders

    AA is 2×22\times2⁠, so A2=AAA^2 = AA is (2×2)(2×2)(2\times2)(2\times2)⁠, defined, of order 2×22\times2⁠. kAkA and 2I2I are both 2×22\times2⁠, so kA−2IkA - 2I is defined and 2×22\times2⁠. Both sides of the equation are 2×22\times2⁠, so comparing them makes sense.

    Equality of matrices first requires the same order; only then can entries be compared one to one.
  2. Compute A2A^2

    A2=[3−24−2][3−24−2]A^2 = \begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix}\begin{bmatrix} 3 & -2 \\ 4 & -2 \end{bmatrix}

    The rows of AA are (3,−2)(3, -2) and (4,−2)(4, -2)⁠; its columns are (3,4)(3, 4) and (−2,−2)(-2, -2) read downwards.

    c11=3⋅3+(−2)⋅4=9−8=1c12=3⋅(−2)+(−2)(−2)=−6+4=−2c21=4⋅3+(−2)⋅4=12−8=4c22=4⋅(−2)+(−2)(−2)=−8+4=−4\begin{aligned} c_{11} &= 3\cdot3 + (-2)\cdot4\\ &= 9 - 8 = 1\\ c_{12} &= 3\cdot(-2) + (-2)(-2)\\ &= -6 + 4 = -2\\ c_{21} &= 4\cdot3 + (-2)\cdot4\\ &= 12 - 8 = 4\\ c_{22} &= 4\cdot(-2) + (-2)(-2)\\ &= -8 + 4 = -4 \end{aligned} A2=[1−24−4]A^2 = \begin{bmatrix} 1 & -2 \\ 4 & -4 \end{bmatrix}
    Watch the signs: (−2)(−2)=+4(-2)(-2) = +4⁠. This is where most slips in this question happen.
    A negative times a negative is positive. Basics: pair up, multiply, add
  3. Write kA−2IkA - 2I entry by entry

    kA=[3k−2k4k−2k],2I=[2002]kA = \begin{bmatrix} 3k & -2k \\ 4k & -2k \end{bmatrix}, \quad 2I = \begin{bmatrix} 2 & 0 \\ 0 & 2 \end{bmatrix}

    Subtracting entry by entry:

    (1,1):3k−2(1,2):−2k−0=−2k(2,1):4k−0=4k(2,2):−2k−2\begin{aligned} (1,1)&: 3k - 2\\ (1,2)&: -2k - 0 = -2k\\ (2,1)&: 4k - 0 = 4k\\ (2,2)&: -2k - 2 \end{aligned} kA−2I=[3k−2−2k4k−2k−2]kA - 2I = \begin{bmatrix} 3k - 2 & -2k \\ 4k & -2k - 2 \end{bmatrix}
    2I2I has 2 only on the diagonal, so it changes only the (1,1)(1,1) and (2,2)(2,2) entries. The off-diagonal entries of kA−2IkA - 2I are just those of kAkA⁠.
    kA=[k aij]kA = [k\,a_{ij}] and P−Q=[pij−qij]P - Q = [p_{ij} - q_{ij}]⁠. Lesson: addition and scalar multiplication
  4. Equate corresponding entries and solve each

    A2=kA−2IA^2 = kA - 2I means

    [1−24−4]=[3k−2−2k4k−2k−2]\begin{bmatrix} 1 & -2 \\ 4 & -4 \end{bmatrix} = \begin{bmatrix} 3k - 2 & -2k \\ 4k & -2k - 2 \end{bmatrix}

    so the four entry equations are:

    (1,1):3k−2=1  ⇒3k=3⇒k=1(1,2):−2k=−2⇒k=1(2,1):4k=4⇒k=1(2,2):−2k−2=−4  ⇒−2k=−2⇒k=1\begin{aligned} (1,1)&: 3k - 2 = 1\\ &\;\Rightarrow 3k = 3 \Rightarrow k = 1\\ (1,2)&: -2k = -2 \Rightarrow k = 1\\ (2,1)&: 4k = 4 \Rightarrow k = 1\\ (2,2)&: -2k - 2 = -4\\ &\;\Rightarrow -2k = -2 \Rightarrow k = 1 \end{aligned}

    Each equation is linear in kk with a non-zero coefficient of kk⁠, so each has exactly one solution, and all four give k=1k = 1⁠. Hence k=1k = 1, and it is the only value that works.

    Any one equation would already suggest k=1k=1⁠, but the matrix equation demands all four at once. If two entries had given different values of kk⁠, no kk would exist at all. Here they agree, so k=1k=1 is a genuine solution; and since the (1,2)(1,2) equation alone forces k=1k=1⁠, no other value can work.
    Divide both sides by the coefficient of kk⁠: from 3k=33k = 3 we get k=1k = 1⁠. Basics: one unknown at a time
  5. Substitute back

    With k=1k = 1⁠:

    A−2I=[3−2−2−04−0−2−2]=[1−24−4]A - 2I = \begin{bmatrix} 3 - 2 & -2 - 0 \\ 4 - 0 & -2 - 2 \end{bmatrix} = \begin{bmatrix} 1 & -2 \\ 4 & -4 \end{bmatrix}

    which is exactly A2A^2 from Step 2. So A2=A−2IA^2 = A - 2I⁠.

    Substituting the answer into the original equation catches any arithmetic slip in Steps 2 to 4.
Result

k=1k = 1, that is, A2=A−2IA^2 = A - 2I⁠. (Textbook answer: k=1k = 1⁠.)

Check it with numbers

A test on a column vector: take vv with entries 1,01, 0⁠. Then AvAv is the first column of AA⁠: 3,43, 4⁠. Applying AA again: 3⋅3+(−2)⋅4=13\cdot3 + (-2)\cdot4 = 1 and 4⋅3+(−2)⋅4=44\cdot3 + (-2)\cdot4 = 4⁠, so A2vA^2v has entries 1,41, 4⁠. On the other side, Av−2vAv - 2v has entries 3−2=13 - 2 = 1 and 4−0=44 - 0 = 4 ✓. With vv having entries 0,10, 1⁠: AvAv is −2,−2-2, -2⁠; A(Av)A(Av) is 3(−2)+(−2)(−2)=−23(-2) + (-2)(-2) = -2 and 4(−2)+(−2)(−2)=−44(-2) + (-2)(-2) = -4⁠; and Av−2vAv - 2v is −2−0=−2-2 - 0 = -2⁠, −2−2=−4-2 - 2 = -4 ✓.

Common mistakes
  1. Squaring the entries to get A2A^2 with rows (9,4)(9, 4)⁠, (16,4)(16, 4)⁠. That is not matrix multiplication.
  2. Treating −2I-2I as −2-2 subtracted from every entry. It changes only the diagonal; the off-diagonal entries of kA−2IkA - 2I are −2k-2k and 4k4k⁠.
  3. Using only one entry. One entry suggests a value; all four must agree for that value to be an answer.
  4. Sign slip in (−2)(−2)(-2)(-2)⁠, which gives +4+4⁠.
What to take away
  1. A matrix equation of order m×nm\times n is mnmn scalar equations, one per entry.
  2. With fewer unknowns than entries, the system is overdetermined: a solution exists only if every entry equation agrees, so check them all.
  3. A2=A−2IA^2 = A - 2I is another polynomial identity of a square matrix, like the one in Exercise 3.2 Q16; it lets you replace A2A^2 by A−2IA - 2I in any longer calculation.

Every fact used, and where it comes from

FactUsed inSource
Product defined when columns of the first = rows of the second; entry = row times columnSteps 1, 2Section 3.4.5 (Lesson: multiplication)
Scalar multiple and difference of matricesSteps 3, 5Section 3.4.2
Identity matrix II of order 2Step 3Section 3.3 (vi)
Equal matrices have equal corresponding entriesStep 4Definition 2, Section 3.3.1
All products and the value k=1k = 1Steps 2–5, CheckRecomputed in the site's verification script
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