Class 12 Maths, Worked in Full Past papersGet updates
Chapter 4 · Determinants

Exercise 4.4 · Q18 (MCQ): det⁡(A−1)\det(A^{-1}) for an invertible matrix of order 2

Exercise 4.4Adjoint and inverse of a matrix · Section 4.5
The question

If AA is an invertible matrix of order 2, then det⁡(A−1)\det(A^{-1}) is equal to

(A) det⁡(A)\det(A)
(B) 1det⁡(A)\dfrac{1}{\det(A)}
(C) 11
(D) 00

Exam answer

Since AA is invertible, AA−1=IAA^{-1} = I⁠. Taking determinants,

det⁡(AA−1)=det⁡Idet⁡(A)det⁡(A−1)=1det⁡(A−1)=1det⁡(A)\begin{aligned} \det(AA^{-1}) &= \det I \\ \det(A)\det(A^{-1}) &= 1 \\ \det(A^{-1}) &= \frac{1}{\det(A)} \end{aligned}

Answer: (B) 1det⁡(A)\dfrac{1}{\det(A)}

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

The one idea this problem is built on

Take the determinant of AA−1=IAA^{-1} = I⁠. The determinant of a product is the product of the determinants, and det⁡I=1\det I = 1⁠, so det⁡(A)⋅det⁡(A−1)=1\det(A)\cdot\det(A^{-1}) = 1⁠. Hence det⁡(A−1)\det(A^{-1}) is the reciprocal 1det⁡(A)\dfrac{1}{\det(A)}⁠.

Given, to find, and the plan
Given
AA is a 2×22\times2 matrix that has an inverse A−1A^{-1}⁠, so AA−1=A−1A=IAA^{-1} = A^{-1}A = I⁠. Nothing else is known about its entries.
To find
det⁡(A−1)\det(A^{-1}) in terms of det⁡(A)\det(A)⁠, for every such AA⁠.
Plan
(1) Take determinants of AA−1=IAA^{-1} = I⁠. (2) Conclude, noting det⁡A≠0\det A \neq 0⁠. (3) Prove it a second way, directly from the entries of a 2×22\times2 matrix. (4) Test every option.

Basics you need

1Inverse

A−1A^{-1} is the matrix with AA−1=A−1A=IAA^{-1} = A^{-1}A = I (Chapter 3, Section 3.7). Basics: why the inverse divides by |A|

2Determinant of a product

∣XY∣=∣X∣ ∣Y∣|XY| = |X|\,|Y| for square matrices of the same order (Theorem 3, Section 4.5). Basics: matrix facts the chapter uses

32×22\times2 determinant and inverse

A 2×22\times2 matrix with rows p,qp, q and r,sr, s has determinant ps−qrps - qr⁠. If this is not zero, A−1=1∣A∣adj⁡AA^{-1} = \frac{1}{|A|}\operatorname{adj}A⁠, where adj⁡A\operatorname{adj}A swaps p,sp, s and negates q,rq, r (Section 4.5). Lesson: inverse of a matrix

4Scaling a 2×22\times2 determinant

Multiplying every entry by kk multiplies the determinant by k2k^2⁠, because (ka)(kd)−(kb)(kc)(ka)(kd) - (kb)(kc) equals k2(ad−bc)k^2(ad - bc)⁠. (The book observes this in Remark (iii), Section 4.2.3.) Basics: scaling and adding matrices

Solution

  1. Take the determinant of AA−1=IAA^{-1} = I

    AA and A−1A^{-1} are both 2×22\times2⁠, so Theorem 3 applies:

    det⁡(AA−1)=det⁡Idet⁡(A) det⁡(A−1)=1\begin{aligned} \det(AA^{-1}) &= \det I\\ \det(A)\,\det(A^{-1}) &= 1 \end{aligned}
    det⁡I=1⋅1−0⋅0=1\det I = 1\cdot1 - 0\cdot0 = 1 for the 2×22\times2 identity. Theorem 3 turns the determinant of the product into a product of two numbers, and the unknown det⁡(A−1)\det(A^{-1}) is one of them.
    ∣XY∣=∣X∣∣Y∣|XY| = |X||Y|⁠. Basics: matrix facts the chapter uses
  2. Conclude det⁡(A−1)=1det⁡(A)\det(A^{-1}) = \dfrac{1}{\det(A)}

    Two numbers with product 11 are both non-zero, so det⁡(A)≠0\det(A) \neq 0 (this is also Theorem 4: invertible matrices are non-singular). Dividing by det⁡(A)\det(A)⁠:

    det⁡(A−1)=1det⁡(A)\det(A^{-1}) = \frac{1}{\det(A)}

    This holds for every invertible 2×22\times2 matrix, so the answer is (B).

    We never needed the entries of AA⁠: only AA−1=IAA^{-1} = I⁠, Theorem 3 and det⁡I=1\det I = 1⁠. So the argument works equally for invertible matrices of any order nn⁠, with the n×nn\times n identity, whose determinant is also 11⁠.
  3. A second proof, straight from the entries

    Let AA have rows p,qp, q and r,sr, s⁠, and put D=det⁡A=ps−qrD = \det A = ps - qr⁠. Since AA is invertible, D≠0D \neq 0 (Theorem 4), and

    A−1=1D[s−q−rp].A^{-1} = \frac{1}{D}\begin{bmatrix} s & -q \\ -r & p \end{bmatrix}.

    Its entries are sD,−qD\frac{s}{D}, \frac{-q}{D} (row 1) and −rD,pD\frac{-r}{D}, \frac{p}{D} (row 2), so

    det⁡(A−1)=sD⋅pD−−qD⋅−rD=ps−qrD2=DD2=1D\begin{aligned} \det(A^{-1}) &= \frac{s}{D}\cdot\frac{p}{D} - \frac{-q}{D}\cdot\frac{-r}{D}\\[1mm] &= \frac{ps - qr}{D^2} = \frac{D}{D^2} = \frac{1}{D} \end{aligned}
    This proof does not use Theorem 3, which the book states without proof. Only D≠0D \neq 0 was quoted from Theorem 4 (whose proof in the book uses Theorem 3), and for order 2 that can be seen directly too. Multiplying out, A(adj⁡A)A(\operatorname{adj}A) has entries ps−qrps - qr⁠, −pq+qp-pq + qp⁠, rs−srrs - sr⁠, −rq+sp-rq + sp⁠, so it is DIDI⁠. If DD were 00⁠, this would be OO⁠; multiplying on the left by A−1A^{-1} would give adj⁡A=O\operatorname{adj}A = O⁠, so p=q=r=s=0p = q = r = s = 0 and A=OA = O⁠, which has no inverse. The proof also shows where the answer comes from: the factor 1D\frac1D is in both rows, which contributes 1D2\frac{1}{D^2} (Basic 4), and adj⁡A\operatorname{adj}A has the same determinant sp−(−q)(−r)=Dsp - (-q)(-r) = D as AA⁠.
    2×22\times2 adjoint and inverse. Lesson: the adjoint · Lesson: inverse
  4. Examine every option

    Test matrix: the diagonal matrix with entries 22 and 11⁠.

    A=[2001],A−1=[12001]A = \begin{bmatrix} 2 & 0 \\ 0 & 1 \end{bmatrix}, \quad A^{-1} = \begin{bmatrix} \frac12 & 0 \\ 0 & 1 \end{bmatrix}

    Here det⁡A=2⋅1−0=2\det A = 2\cdot1 - 0 = 2 and det⁡(A−1)=12⋅1−0=12\det(A^{-1}) = \frac12\cdot1 - 0 = \frac12⁠. (Check: AA−1AA^{-1} has diagonal 2⋅12=12\cdot\frac12 = 1 and 1⋅1=11\cdot1 = 1 and zeros elsewhere, so it is II⁠.)

    OptionValueVerdict
    (A) det⁡(A)\det(A)22Wrong in general (it holds only when det⁡A\det A is 11 or −1-1⁠).
    (B) 1det⁡(A)\frac{1}{\det(A)}12\frac12Correct, proved in Steps 1–3 for every invertible AA⁠.
    (C) 1111Wrong. 11 is the determinant of the product AA−1AA^{-1}⁠.
    (D) 0000Wrong for every invertible AA⁠: a product equal to 11 cannot have a factor 00⁠.
    Each option claims a formula for every invertible 2×22\times2 matrix, so a single matrix where it fails rejects it. One test matrix with det⁡A=2\det A = 2 separates all four options, because 22⁠, 12\frac12⁠, 11 and 00 are all different.
    One counterexample defeats a "for all" claim. Basics: algebra the chapter leans on
Result

The correct answer is (B): det⁡(A−1)=1det⁡(A)\det(A^{-1}) = \dfrac{1}{\det(A)} (for invertible matrices of any order). (Textbook answer: B.)

Check it with numbers

Take AA from Exercise 4.4 Q13: det⁡A=3⋅2−1⋅(−1)=7\det A = 3\cdot2 - 1\cdot(-1) = 7 and A−1=17A^{-1} = \frac17 times the matrix with rows 2,−12, -1 and 1,31, 3⁠. Then

det⁡(A−1)=27⋅37−−17⋅17=649+149=749=17\begin{aligned} \det(A^{-1}) &= \tfrac{2}{7}\cdot\tfrac{3}{7} - \tfrac{-1}{7}\cdot\tfrac{1}{7}\\ &= \tfrac{6}{49} + \tfrac{1}{49} = \tfrac{7}{49} = \tfrac17 \end{aligned}

which is 1det⁡A\frac{1}{\det A} ✓. In decimals: 0.142857…0.142857\ldots and 1/7=0.142857…1/7 = 0.142857\ldots ✓.

Common mistakes
  1. Choosing (C) because "A−1A^{-1} undoes AA". It is the product AA−1AA^{-1} that has determinant 11⁠.
  2. Forgetting the factor on both rows. det⁡(1DM)=1D2det⁡M\det(\frac1D M) = \frac{1}{D^2}\det M for a 2×22\times2 matrix MM⁠, not 1Ddet⁡M\frac1D\det M⁠.
  3. Writing det⁡(A−1)=−det⁡(A)\det(A^{-1}) = -\det(A)⁠. The inverse involves a reciprocal, not a sign change.
What to take away
  1. det⁡(A−1)=1det⁡A\det(A^{-1}) = \dfrac{1}{\det A} for every invertible square matrix: take determinants of AA−1=IAA^{-1} = I⁠.
  2. The same equation shows why an invertible matrix must have det⁡A≠0\det A \neq 0⁠.
  3. Pairs with Q17: for order 3, ∣adj⁡A∣=∣A∣2|\operatorname{adj}A| = |A|^2⁠, and since A−1=1∣A∣adj⁡AA^{-1} = \frac{1}{|A|}\operatorname{adj}A⁠, the scaling rule for order 3 (Q17, Basic 4) gives ∣A−1∣=1∣A∣3 ∣A∣2=1∣A∣|A^{-1}| = \frac{1}{|A|^3}\,|A|^2 = \frac{1}{|A|}⁠, the same answer.

Every fact used, and where it comes from

FactUsed inSource
AA−1=A−1A=IAA^{-1} = A^{-1}A = IStep 1Chapter 3, Section 3.7
∣AB∣=∣A∣∣B∣|AB| = |A||B|Step 1Theorem 3, Section 4.5 (stated without proof)
AA invertible   ⟺  ∣A∣≠0\iff |A|\neq0⁠; A−1=1∣A∣adj⁡AA^{-1} = \frac{1}{|A|}\operatorname{adj}ASteps 2, 3Theorem 4, Section 4.5 (Lesson: inverse)
2×22\times2 adjoint: swap the diagonal, negate the restStep 3Remark after Example 12, Section 4.5.1
∣kB∣=k2∣B∣|kB| = k^2|B| for order 2 (k3∣B∣k^3|B| for order 3)Step 3, Take-away 3Basic 4 (one-line proof); order 3: Exercise 4.4 Q17, Basic 4. The book observes the order-2 case in Remark (iii), Section 4.2.3
∣adj⁡A∣=∣A∣2|\operatorname{adj}A| = |A|^2 for order 3Take-away 3Remark after Theorem 3, Section 4.5; Exercise 4.4 Q17
Symbolic 2×22\times2 proof, the test matrix, Q13 valuesSteps 3, 4, CheckRecomputed in the site's verification script
Found an error, or want more?

Tell us if something on this page is wrong or unclear, or if you would like a fuller explanation, another method or a new feature. Send feedback on this problem →