Q33
5 marksLong AnswerSection D

(a) If A=[021212110]A = \begin{bmatrix}0 & 2 & 1\\ -2 & -1 & -2\\ 1 & -1 & 0\end{bmatrix}, find A1A^{-1} and use it to solve the following system of equations: 2y+z=7-2y + z = 7, 2xyz=82x - y - z = 8, x2y=10x - 2y = 10.


OR


(b) If [31sin3x74cos2x1172]\begin{bmatrix}3 & -1 & \sin 3x\\ -7 & 4 & \cos 2x\\ -11 & 7 & 2\end{bmatrix} is a singular matrix, then find all values of x, where x[0,π/2]x \in [0, \pi/2].

Determinants
Inverse of a Matrix and Singular Matrices
Official Answer

This is an OR question — attempt either Part (a) or Part (b) fully.


Part (a): x=0,y=5,z=3x = 0, y = -5, z = -3


  • For A=[021212110]A = \begin{bmatrix}0 & 2 & 1\\ -2 & -1 & -2\\ 1 & -1 & 0\end{bmatrix}, A=10|A| = -1 \ne 0, so A1A^{-1} exists.
  • A1=[213212324]A^{-1} = \begin{bmatrix}2 & 1 & 3\\ 2 & 1 & 2\\ -3 & -2 & -4\end{bmatrix}.
  • The system's coefficient matrix is [021211120]=AT\begin{bmatrix}0 & -2 & 1\\ 2 & -1 & -1\\ 1 & -2 & 0\end{bmatrix} = A^T, so the system is ATX=BA^TX = B with B=[7,8,10]TB = [7, 8, 10]^T.
  • Then X=(AT)1B=(A1)TB=[223112324][7,8,10]T=[0,5,3]TX = (A^T)^{-1}B = (A^{-1})^TB = \begin{bmatrix}2 & 2 & -3\\ 1 & 1 & -2\\ 3 & 2 & -4\end{bmatrix} \cdot [7, 8, 10]^T = [0, -5, -3]^T.
  • Hence x=0,y=5,z=3x = 0, y = -5, z = -3.

Part (b): x=0x = 0 or x=π/6x = \pi/6


  • A matrix is singular when its determinant is 0. Expanding gives 1010cos2x5sin3x=010 - 10\cos 2x - 5\sin 3x = 0, i.e. 22cos2xsin3x=02 - 2\cos 2x - \sin 3x = 0.
  • Using 22cos2x=4sin2x2 - 2\cos 2x = 4\sin^2x and sin3x=3sinx4sin3x\sin 3x = 3\sin x - 4\sin^3x: 4sin2x3sinx+4sin3x=0    sinx(4sin2x+4sinx3)=04\sin^2x - 3\sin x + 4\sin^3x = 0 \implies \sin x(4\sin^2x + 4\sin x - 3) = 0.
  • sinx=0    x=0\sin x = 0 \implies x = 0; 4sin2x+4sinx3=0    sinx=1/24\sin^2x + 4\sin x - 3 = 0 \implies \sin x = 1/2 or sinx=3/2\sin x = -3/2 (rejected).
  • sinx=1/2    x=π/6\sin x = 1/2 \implies x = \pi/6. Both x=0x = 0 and x=π/6x = \pi/6 lie in [0,π/2][0, \pi/2], so x=0x = 0 or x=π/6x = \pi/6.
inverse of a matrixadjoint methodsingular matrixsystem of linear equationscofactordeterminantmatrix method

Marking Scheme

  • 1Part (a) — 1 mark: correct value of A=1|A| = -1 and conclusion that A⁻¹ exists.
  • 2Part (a) — 2 marks: correct cofactors/adjoint and A1=[213212324]A^{-1} = \begin{bmatrix}2 & 1 & 3\\ 2 & 1 & 2\\ -3 & -2 & -4\end{bmatrix}.
  • 3Part (a) — 2 marks: recognising the coefficient matrix is ATA^T, computing X=(A1)TBX = (A^{-1})^TB and obtaining x=0,y=5,z=3x = 0, y = -5, z = -3.
  • 4Part (b) — 2 marks: correctly expanding the 3×33\times 3 determinant to 1010cos2x5sin3x=010 - 10\cos 2x - 5\sin 3x = 0.
  • 5Part (b) — 2 marks: correct simplification to sinx(4sin2x+4sinx3)=0\sin x(4\sin^2x + 4\sin x - 3) = 0 using trigonometric identities.
  • 6Part (b) — 1 mark: obtaining both x=0x = 0 and x=π/6x = \pi/6 and rejecting sinx=3/2\sin x = -3/2.

Hint

For (a), compute A|A| and A1=adj(A)/AA^{-1} = \text{adj}(A)/|A|, then note the system's coefficient matrix is ATA^T, so X=(A1)TBX = (A^{-1})^TB. For (b), expand the 3×33\times 3 determinant, set it to 0, and simplify using 1cos2x=2sin2x1 - \cos 2x = 2\sin^2x and sin3x=3sinx4sin3x\sin 3x = 3\sin x - 4\sin^3x.

Quick Oral Answer

For (a), A=1|A| = -1 so A1A^{-1} exists; since the coefficient matrix is ATA^T, X=(A1)TBX = (A^{-1})^TB gives x=0,y=5,z=3x = 0, y = -5, z = -3. For (b), setting the determinant to 0 yields sinx=0\sin x = 0 or 1/21/2, so x=0x = 0 or π/6\pi/6 in [0,π/2][0, \pi/2].

Analysis & Explanation

This 5-mark question tests the matrix (inverse) method for a linear system and the determinant condition for a singular matrix — both core applications from the Determinants chapter.


Concept (a): A1=adj(A)/AA^{-1} = \text{adj}(A)/|A|. A key feature here is that the system's coefficient matrix equals Aᵀ, not A, so the system is ATX=BA^TX = B and the solution is X=(A1)TBX = (A^{-1})^TB — students must notice this transpose relationship rather than blindly using A⁻¹B.


Concept (b): A matrix is singular exactly when A=0|A| = 0. Expanding the determinant converts the condition into a trigonometric equation, factorised using 1cos2x=2sin2x1 - \cos 2x = 2\sin^2x and sin3x=3sinx4sin3x\sin 3x = 3\sin x - 4\sin^3x.


Exam trap: In (a), sign errors in the cofactors are common — verify with AA1=IAA^{-1} = I, or substitute the found (x, y, z) back into all three equations. In (b), after factoring sinx(4sin2x+4sinx3)=0\sin x(4\sin^2x + 4\sin x - 3) = 0, students must keep both valid roots sinx=0\sin x = 0 and sinx=1/2\sin x = 1/2 (giving x=0x = 0 and x=π/6x = \pi/6) and reject only sinx=3/2\sin x = -3/2; dropping the sin x = 1/2 root is the most common error.


Real-world relevance: Solving AX = B by matrix inversion underlies computer-graphics transformations, structural load analysis, and Leontief input–output economic models.

Common Mistakes

  1. 1Sign errors while computing cofactors, leading to a wrong adjoint/A⁻¹ — always verify with AA1=IAA^{-1} = I.
  2. 2In part (a), using A1BA^{-1}B directly without noticing the coefficient matrix is ATA^T (the solution needs (A1)TB(A^{-1})^TB).
  3. 3In part (b), dropping the valid root sinx=1/2\sin x = 1/2 (x=π/6x = \pi/6) and reporting only x=0x = 0, or keeping the invalid root sinx=3/2\sin x = -3/2.

Interesting Facts

The adjoint (adjugate) method for matrix inversion was formalised by Arthur Cayley in his 1858 paper 'A Memoir on the Theory of Matrices', which also introduced the term 'matrix' itself.

Matrix inversion via the determinant/adjoint method is computationally expensive for large matrices (O(n!)O(n!) via cofactors), which is why real-world software uses Gaussian elimination or LU decomposition instead — but the adjoint method remains the standard hand-calculation technique for CBSE board exams.

The singular matrix condition (A=0|A|=0) is exactly the condition under which a system of linear equations either has no solution or infinitely many — a concept central to consistency analysis in linear algebra.

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Frequently Asked Questions

How do you know if A1A^{-1} exists?

A⁻¹ exists if and only if A0|A| \ne 0 (A is non-singular). If A=0|A| = 0, the matrix is singular and A⁻¹ does not exist.

Why use 1cos2x=2sin2x1 - \cos 2x = 2\sin^2x in part (b)?

This double-angle identity converts the mixed cos 2x and sin 3x terms into expressions of sin x alone, allowing the determinant equation to be factorised and solved for x.

How many values of x satisfy part (b)?

Two: x=0x = 0 and x=π/6x = \pi/6, both lying in the closed interval [0,π/2][0, \pi/2]. They come from sinx=0\sin x = 0 and sinx=1/2\sin x = 1/2; the third algebraic root sinx=3/2\sin x = -3/2 is rejected as it is outside [1,1][-1, 1].