Matrices — types, operations, and application selection guide

medium CBSE JEE-MAIN 3 min read

Question

If A=(1234)A = \begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}, find A1A^{-1} and verify that AA1=IAA^{-1} = I.

(CBSE 12 / JEE Main — Matrices)


Matrix Operations Classification

flowchart TD
    A["Matrix Problem"] --> B{What is asked?}
    B -->|Addition/Subtraction| C["Same order required"]
    B -->|Multiplication AB| D["Columns of A = Rows of B"]
    B -->|Transpose| E["Swap rows and columns"]
    B -->|Determinant| F["|A| for square matrices"]
    B -->|Inverse| G{"Is |A| != 0?"}
    G -->|Yes| H["A^-1 = adj(A) / |A|"]
    G -->|No| I["Singular: inverse does not exist"]
    B -->|Solve equations| J["AX = B => X = A^-1 B"]

Solution — Step by Step

A=1234=1(4)2(3)=46=2|A| = \begin{vmatrix} 1 & 2 \\ 3 & 4 \end{vmatrix} = 1(4) - 2(3) = 4 - 6 = -2

Since A0|A| \neq 0, the inverse exists.

For a 2×22 \times 2 matrix (abcd)\begin{pmatrix} a & b \\ c & d \end{pmatrix}, the adjoint is (dbca)\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}.

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

Row 1: (1)(2)+(2)(3/2)=2+3=1(1)(-2) + (2)(3/2) = -2 + 3 = 1, (1)(1)+(2)(1/2)=11=0(1)(1) + (2)(-1/2) = 1 - 1 = 0

Row 2: (3)(2)+(4)(3/2)=6+6=0(3)(-2) + (4)(3/2) = -6 + 6 = 0, (3)(1)+(4)(1/2)=32=1(3)(1) + (4)(-1/2) = 3 - 2 = 1

AA1=(1001)=I\boxed{AA^{-1} = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} = I \quad \checkmark}

Why This Works

The inverse matrix “undoes” the original transformation. If AA transforms a vector x\vec{x} to b\vec{b} (i.e., Ax=bA\vec{x} = \vec{b}), then A1A^{-1} recovers x\vec{x} from b\vec{b} (i.e., x=A1b\vec{x} = A^{-1}\vec{b}). The condition A0|A| \neq 0 ensures the transformation is reversible — no information is lost.

For 2×22 \times 2 matrices, the adjoint shortcut (swap diagonal, negate off-diagonal) is the fastest method. For 3×33 \times 3, you need cofactors.


Alternative Method — Row Reduction

Augment AA with the identity matrix [AI][A | I] and perform row operations until the left side becomes II. The right side automatically becomes A1A^{-1}:

[12103401]R2R23R1[12100231]\left[\begin{array}{cc|cc} 1 & 2 & 1 & 0 \\ 3 & 4 & 0 & 1 \end{array}\right] \xrightarrow{R_2 \to R_2 - 3R_1} \left[\begin{array}{cc|cc} 1 & 2 & 1 & 0 \\ 0 & -2 & -3 & 1 \end{array}\right]

Continue row-reducing to get the same A1A^{-1}.

For CBSE 12, the 2×22 \times 2 inverse using the adjoint formula is enough for most problems. But JEE Main often gives 3×33 \times 3 matrices — practice the cofactor method and row reduction for those. Also, AB=AB|AB| = |A||B| and (AB)1=B1A1(AB)^{-1} = B^{-1}A^{-1} — these properties appear as 1-mark conceptual questions.


Common Mistake

In the 2×22 \times 2 adjoint, students swap the wrong elements. The rule is: swap the main diagonal elements (aa and dd) and negate the off-diagonal elements (bb and cc). Writing (dbca)\begin{pmatrix} d & b \\ c & a \end{pmatrix} (forgetting to negate) gives a completely wrong inverse.

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