Matrices: Tricky Questions Solved (3)

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Question

Let A=(1234)A = \begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}. Find A1A^{-1}, verify by computing AA1A \cdot A^{-1}, and use it to solve the system x+2y=5x + 2y = 5, 3x+4y=113x + 4y = 11. Finally, explain why this method fails for some matrices and how to recognise that case.

Solution — Step by Step

detA=(1)(4)(2)(3)=46=2\det A = (1)(4) - (2)(3) = 4 - 6 = -2

Since detA0\det A \neq 0, the inverse exists.

For a 2×22\times 2 matrix (abcd)\begin{pmatrix} a & b \\ c & d \end{pmatrix}:

A1=1detA(dbca)A^{-1} = \frac{1}{\det A} \begin{pmatrix} d & -b \\ -c & a \end{pmatrix}

So:

A1=12(4231)=(213/21/2)A^{-1} = \frac{1}{-2}\begin{pmatrix} 4 & -2 \\ -3 & 1 \end{pmatrix} = \begin{pmatrix} -2 & 1 \\ 3/2 & -1/2 \end{pmatrix}

AA1=(1234)(213/21/2)=(2+3116+632)=(1001)A \cdot A^{-1} = \begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}\begin{pmatrix} -2 & 1 \\ 3/2 & -1/2 \end{pmatrix} = \begin{pmatrix} -2 + 3 & 1 - 1 \\ -6 + 6 & 3 - 2 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} \checkmark

Write the system as Ax=bA\vec{x} = \vec{b} where b=(511)\vec{b} = \begin{pmatrix} 5 \\ 11 \end{pmatrix}.

x=A1b=(213/21/2)(511)=(10+1115/211/2)=(12)\vec{x} = A^{-1}\vec{b} = \begin{pmatrix} -2 & 1 \\ 3/2 & -1/2 \end{pmatrix}\begin{pmatrix} 5 \\ 11 \end{pmatrix} = \begin{pmatrix} -10 + 11 \\ 15/2 - 11/2 \end{pmatrix} = \begin{pmatrix} 1 \\ 2 \end{pmatrix}

So x=1x = 1, y=2y = 2. Quick verify: 1+4=51 + 4 = 5 ✓, 3+8=113 + 8 = 11 ✓.

Why This Works

The matrix-inverse method turns a linear system into a product. When AA is invertible (i.e., detA0\det A \neq 0), there’s a unique solution x=A1b\vec{x} = A^{-1}\vec{b}. This is the cleanest way to solve 2×22\times 2 and 3×33\times 3 systems for board exams.

The method fails when detA=0\det A = 0 — the matrix is singular, no inverse exists. Geometrically, the two equations represent either parallel lines (no solution) or the same line (infinite solutions). You must then use elimination or Cramer’s rule with care.

Alternative Method

Cramer’s rule:

x=detAxdetA,y=detAydetAx = \frac{\det A_x}{\det A}, \quad y = \frac{\det A_y}{\det A}

where AxA_x replaces column 1 with b\vec{b} and AyA_y replaces column 2.

detAx=52114=2022=2    x=2/2=1\det A_x = \begin{vmatrix} 5 & 2 \\ 11 & 4\end{vmatrix} = 20 - 22 = -2 \implies x = -2/-2 = 1

detAy=15311=1115=4    y=4/2=2\det A_y = \begin{vmatrix} 1 & 5 \\ 3 & 11\end{vmatrix} = 11 - 15 = -4 \implies y = -4/-2 = 2

Same answer.

For 2×22\times 2 systems, Cramer’s rule is often the fastest manual method — fewer arithmetic steps than the inverse method. For 3×33\times 3 and beyond, the inverse method becomes competitive because you can pre-compute A1A^{-1} once and reuse it.

Common Mistake

Three classic errors:

  1. Sign error in the cofactor matrix. The 2×2 inverse formula swaps diagonals and negates the off-diagonals. Many students forget the negation and write (dbca)\begin{pmatrix} d & b \\ c & a \end{pmatrix} instead of (dbca)\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}.

  2. Forgetting to divide by detA\det A. The cofactor matrix gives the adjugate, not the inverse. Always multiply by 1/detA1/\det A.

  3. Trying to invert a singular matrix. If detA=0\det A = 0, the system has no unique solution. Don’t attempt A1A^{-1} — switch to elimination and analyse the rank.

Final answer: A1=(213/21/2)A^{-1} = \begin{pmatrix} -2 & 1 \\ 3/2 & -1/2 \end{pmatrix}, x=1x = 1, y=2y = 2.

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