Q.(a) If A=1−1023−2−201 and B−1=3−155−16−21−52, find (AB)−1.
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🔒 Start your 14-day free trial to unlock the full solution →Part (a)Concept understanding — Inverse of a Product
Inverse of a Product: The "Socks and Shoes" Principle
You put on your socks first, then your shoes. To take them off, you can't remove the socks while the shoes are still on — you must reverse the order: shoes off first, then socks.
That's exactly the inverse of a product of matrices. If you apply transformation A first, then B, the combined effect is BA (read right-to-left: A acts first, then B). To undo it, undo B first, then A:
(AB)−1=B−1A−1
The order flips — forced by the logic of undoing.
Why the order must reverse
Check that B−1A−1 is the inverse of AB. We need (AB)(B−1A−1)=I and (B−1A−1)(AB)=I:
(AB)(B−1A−1)=A(BB−1)A−1=AIA−1=AA−1=I
B and B−1 cancel first, leaving A and A−1 to cancel. The other check works the same way:
(B−1A−1)(AB)=B−1(A−1A)B=B−1IB=B−1B=I
If you tried (AB)−1=A−1B−1 instead:
(AB)(A−1B−1)=A(BA−1)B−1
and BA−1 is not I — the matrices are in the wrong order. So the reversal is essential.
A common mistake is writing (AB)−1=A−1B−1. This is false unless A and B commute (which they almost never do). Always flip the order.
A concrete example with numbers
Let A=(1021) and B=(1101), with inverses:
A−1=(10−21),B−1=(1−101)
Then:
AB=(1021)(1101)=(3121),(AB)−1=(1−1−23)
Now compute B−1A−1:
B−1A−1=(1−101)(10−21)=(1−1−23)
They match. Try A−1B−1 and you'll get a different matrix — the wrong answer.
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Part (b)Concept understanding — Inverse Matrix Method
The Inverse Matrix Method
Many problems reduce to a system of linear equations, for example
2x+3yx− y=8=−1.
The inverse matrix method solves such a system by writing it as a single matrix equation and then undoing the coefficient matrix with its inverse — the matrix analogue of dividing.
Writing the system as AX=B
Collect the coefficients, the unknowns and the constants:
A=(213−1),X=(xy),B=(8−1),
so the whole system becomes AX=B.
The idea
For numbers, ax=b gives x=a−1b provided a=0. The same works for matrices: if A is invertible, multiply AX=B on the left by A−1:
A−1(AX)=A−1B⇒IX=A−1B⇒X=A−1B.
X=A−1B
Multiplying on the left matters — matrix products do not commute, so BA−1 would be wrong.
When it works
The inverse A−1 exists only when detA=0, so:
- detA=0: the system is consistent with the unique solution X=A−1B.
- detA=0: no inverse; the system is either inconsistent (no solution) or has infinitely many — handle it by another method.
Worked steps
For the system above, detA=(2)(−1)−(3)(1)=−5=0, and
A−1=−51(−1−1−32).
Then …
Part (a)
Use (AB)−1=B−1A−1. First find A−1: detA=1(3)−2(−1)+(−2)(2)=1, so A−1=adjA=312212625.
(AB)−1=B−1A−1=3−155−16−21−52312212625=10−49177−341221−10336. …
Part (a): (AB)−1=B−1A−1=10−49177−341221−10336. Part (b): solving AX=B gives x=1, y=1, z=1.
Part (a)
We use the reversal law (AB)−1=B−1A−1. We are given B−1, so we only need A−1.
1. detA. For A=1−1023−2−201,
detA=1(3⋅1−0)−2((−1)⋅1−0)+(−2)((−1)(−2)−0)=3+2−4=1.
2. Adjoint / inverse. The cofactor matrix is 326112225; its transpose is the adjoint, and since detA=1,
A−1=adjA=312212625.
3. Multiply B−1A−1. …
- CBSE 2026Set 65/2/11 markMCQQ.For a square matrix A, (3A)−1= (A) 3A−1 (B) 9A−1 (C) 31A−1 (D) 91A−1
›Reveal solutionSolution
The inverse of a scalar multiple of a matrix, (kA)−1, is equal to k1A−1. For (3A)−1, this means the result is 31A−1.
Concept and Intuition
The inverse of a square matrix M, denoted M−1, is defined such that when M is multiplied by M−1, the result is the identity matrix I. That is, MM−1=M−1M=I. The identity matrix acts like the number 1 in scalar multiplication: MI=IM=M.
When we consider a scalar multiple of a matrix, say kA, we are essentially scaling every element of the matrix A by the scalar k. If we want to find the inverse of this new matrix (kA), we need to find a matrix that, when multiplied by kA, yields the identity matrix I.
Intuitively, if A−1 "undoes" the operation of A, and k "scales" A, then to "undo" kA, we would need to "un-scale" by k1 and then "un-matrix" by A−1. This suggests that the inverse of kA should involve k1 and A−1.
Let's verify this intuition formally.
Step-by-Step Derivation
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Recall the definition of an inverse matrix:
For any invertible square matrix M, its inverse M−1 satisfies the property MM−1=I, where I is the identity matrix of the same dimension.
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Apply the definition to (3A):
We are looking for (3A)−1. Let's denote this unknown inverse as X. By definition, X must satisfy:
(3A)X=I
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Propose a form for X based on intuition:
As discussed in the concept section, we expect X to be of the form cA−1 for some scalar c. Let's substitute this into the equation:
(3A)(cA−1)=I
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Use properties of scalar and matrix multiplication:
For any scalars k1,k2 and matrices M1,M2, we know that (k1M1)(k2M2)=(k1k2)(M1M2). Applying this property:
(3c)(AA−1)=I
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Substitute AA−1=I: …
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- CBSE 2026Set ANNUAL1 markMCQQ.If A is an invertible matrix of order 2, then det(A−1) is equal to:(a) det(A)(b) det(A)1(c) 1(d) 0
›Reveal solutionSolution
det(A−1)=detA1.
From AA−1=I, det(A)det(A−1)=det(I)=1, so det(A−1)=det(A)1. (This holds for a …
- CBSE 2026Set ANNUAL1 markQ.Fill in the blank: Unique solution of equation AX=B is given by X= ______, where ∣A∣=0.
›Reveal solutionSolution
The unique solution of AX=B (when ∣A∣e0) is X=A−1B.
…
- CBSE 2025Set ANNUAL1 markMCQQ.If A=[253−2] be such that A−1=kA, then k=(a) 19(b) 191(c) −19(d) −191
›Reveal solutionSolution
Compute |A| and adj(A), form A⁻¹, and compare it entry-by-entry with kA.
A=[253−2], ∣A∣=2(−2)−3(5)=−4−15=−19
adj(A)=[−2−5−32]
…
- CBSE 2024Set D1 markMCQQ.If A=[24−36] then A−1=(a) [416181121](b) [41−6181121](c) [46812](d) [4−6812]
›Reveal solutionSolution
For a 2×2 matrix A−1=detA1[d−c−ba].
Here A=[24−36], so detA=(2)(6)−(−3)(4)=12+12=24.
The adjoint (swap diagonal, negate off-diagonal) is [6−432]. Hence …
- CBSE 2022Set TERM11 markMCQQ.If A and B are invertible matrices then(a) (AB)⁻¹ = B⁻¹A⁻¹(b) (AB)⁻¹ = A⁻¹B⁻¹(c) (AB)⁻¹ = (BA)⁻¹(d) None of these
›Reveal solutionSolution
The inverse of a product reverses the order of the factors.
…
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