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Punjab Board Class 11 Mathematics

Exercise 4.2 Solutions — Matrices and Determinants

Complete worked solutions for Exercise 4.2 from Chapter 4 (Matrices and Determinants), Punjab Board Class 11 Mathematics. Each question shows every step and names the formula used.

Mathematics 11 (Punjab Board)

Exercise 4.2 Solutions

Worked solutions for Punjab Board Class 11 Mathematics, Chapter 4: Matrices and Determinants.

Question 1: Evaluate the following determinants

Determinant evaluate karne ke liye hum direct expansion ya properties (row/column operations) use karte hain. Jahan common factor nazar aaye, use pehle bahar nikal len — is se calculation aasan ho jati hai.

(i) \(\begin{vmatrix} 1 & -2 & -4 \\ 3 & -1 & -3 \\ -2 & 3 & 2 \end{vmatrix}\)

Expanding along the first row \(R_1\) with signs \(+,-,+\):

\[ = 1\begin{vmatrix} -1 & -3 \\ 3 & 2 \end{vmatrix} - (-2)\begin{vmatrix} 3 & -3 \\ -2 & 2 \end{vmatrix} + (-4)\begin{vmatrix} 3 & -1 \\ -2 & 3 \end{vmatrix} \]
\[ = 1(-2 + 9) + 2(6 - 6) - 4(9 - 2) = 7 + 0 - 28 = -21 \]

(ii) \(\begin{vmatrix} a+b & a-b & a \\ a & a+b & a-b \\ a-b & a & a+b \end{vmatrix}\)

Apply \(R_1 \to R_1 + R_2 + R_3\) — each column sums to \(3a\):

\[ = \begin{vmatrix} 3a & 3a & 3a \\ a & a+b & a-b \\ a-b & a & a+b \end{vmatrix} = 3a\begin{vmatrix} 1 & 1 & 1 \\ a & a+b & a-b \\ a-b & a & a+b \end{vmatrix} \]

Apply \(C_1 \to C_1 - C_2\) and \(C_2 \to C_2 - C_3\):

\[ = 3a\begin{vmatrix} 0 & 0 & 1 \\ -b & 2b & a-b \\ -b & -b & a+b \end{vmatrix} \]

Expanding along \(R_1\):

\[ = 3a \cdot 1 \begin{vmatrix} -b & 2b \\ -b & -b \end{vmatrix} = 3a\big(b^2 + 2b^2\big) = 3a(3b^2) = 9ab^2 \]

(iii) \(\begin{vmatrix} 2x & x & x \\ y & 2y & y \\ z & z & 2z \end{vmatrix}\)

Take \(x\) common from \(R_1\), \(y\) from \(R_2\), \(z\) from \(R_3\):

\[ = xyz\begin{vmatrix} 2 & 1 & 1 \\ 1 & 2 & 1 \\ 1 & 1 & 2 \end{vmatrix} = xyz\big[2(4-1) - 1(2-1) + 1(1-2)\big] \]
\[ = xyz(6 - 1 - 1) = 4xyz \]
Answer: (i) \(-21\), (ii) \(9ab^2\), (iii) \(4xyz\)

Question 2: Without expansion, show that

"Without expansion" ka matlab hai ke hum determinant ko expand kiye baghair, sirf properties aur row/column operations se result sabit karenge. Target ye hota hai ke koi row/column zero ban jaye ya do rows/columns identical ho jayein — dono suraton mein determinant 0 ho jata hai.

(i) \(\begin{vmatrix} 7 & 8 & 9 \\ 5 & 6 & 7 \\ 2 & 3 & 4 \end{vmatrix} = 0\)

Apply \(R_2 \to R_2 - R_1\) and \(R_3 \to R_3 - R_1\):

\[ = \begin{vmatrix} 7 & 8 & 9 \\ -2 & -2 & -2 \\ -5 & -5 & -5 \end{vmatrix} = (-2)(-5)\begin{vmatrix} 7 & 8 & 9 \\ 1 & 1 & 1 \\ 1 & 1 & 1 \end{vmatrix} \]

Since \(R_2\) and \(R_3\) are identical, the determinant is \(0\).

(ii) \(\begin{vmatrix} 5 & 6 & -1 \\ 2 & 2 & 0 \\ 2 & -8 & 10 \end{vmatrix} = 0\)

Observe that \(C_2 + C_3 = (6-1,\ 2+0,\ -8+10) = (5, 2, 2) = C_1\). Apply \(C_1 \to C_1 - C_2 - C_3\):

\[ = \begin{vmatrix} 0 & 6 & -1 \\ 0 & 2 & 0 \\ 0 & -8 & 10 \end{vmatrix} \]

Since \(C_1\) is now a zero column, the determinant is \(0\).

(iii) \(\begin{vmatrix} -a & 0 & b \\ 0 & a & -c \\ c & -b & 0 \end{vmatrix} = 0\)

This matrix is skew-symmetric: its transpose equals its negative (\(A^t = -A\)). Using \(|A^t| = |A|\) and the property that multiplying each of the 3 rows by \(-1\) gives \((-1)^3|A|\):

\[ |A| = |A^t| = |-A| = (-1)^3|A| = -|A| \]

So \(2|A| = 0\), hence \(|A| = 0\). (Every skew-symmetric matrix of odd order has determinant zero.)

(iv) \(\begin{vmatrix} l & m+n & 1 \\ m & n+l & 1 \\ n & l+m & 1 \end{vmatrix} = 0\)

Apply \(C_2 \to C_2 + C_1\) — each entry becomes \(l+m+n\):

\[ = \begin{vmatrix} l & l+m+n & 1 \\ m & l+m+n & 1 \\ n & l+m+n & 1 \end{vmatrix} = (l+m+n)\begin{vmatrix} l & 1 & 1 \\ m & 1 & 1 \\ n & 1 & 1 \end{vmatrix} \]

Since \(C_2\) and \(C_3\) are identical, the determinant is \(0\).

(v) \(\begin{vmatrix} 2 & 1 & 3x \\ 2 & 3 & 9x \\ 3 & 5 & 15x \end{vmatrix} = 0\)

Observe that \(C_3 = 3x \cdot C_2\), since \(3x(1, 3, 5) = (3x, 9x, 15x)\). Taking \(3x\) common from \(C_3\):

\[ = 3x\begin{vmatrix} 2 & 1 & 1 \\ 2 & 3 & 3 \\ 3 & 5 & 5 \end{vmatrix} \]

Now \(C_2\) and \(C_3\) are identical, so the determinant is \(0\).

(vi) \(\begin{vmatrix} bc & a & a^2 \\ ca & b & b^2 \\ ab & c & c^2 \end{vmatrix}\)

Apply \(R_1 \to R_1 - R_2\) and \(R_2 \to R_2 - R_3\):

\[ = \begin{vmatrix} c(b-a) & a-b & (a-b)(a+b) \\ a(c-b) & b-c & (b-c)(b+c) \\ ab & c & c^2 \end{vmatrix} \]

Take \((a-b)\) common from \(R_1\) and \((b-c)\) common from \(R_2\):

\[ = (a-b)(b-c)\begin{vmatrix} -c & 1 & a+b \\ -a & 1 & b+c \\ ab & c & c^2 \end{vmatrix} \]

Apply \(R_1 \to R_1 - R_2\), then take \((a-c)\) common from \(R_1\):

\[ = (a-b)(b-c)(a-c)\begin{vmatrix} 1 & 0 & 1 \\ -a & 1 & b+c \\ ab & c & c^2 \end{vmatrix} \]

Apply \(C_3 \to C_3 - C_1\) and expand along \(R_1\):

\[ = (a-b)(b-c)(a-c)\begin{vmatrix} 1 & b+c+a \\ c & c^2-ab \end{vmatrix} \]
\[ = (a-b)(b-c)(a-c)\big[(c^2 - ab) - c(a+b+c)\big] = (a-b)(b-c)(a-c)\big[-(ab+bc+ca)\big] \]
\[ = (a-b)(b-c)(c-a)(ab+bc+ca) \]

Common mistake: Part (vi) ka printed RHS "= 0" general \(a, b, c\) ke liye durust nahi hai — properties se sabit shuda sahi value \((a-b)(b-c)(c-a)(ab+bc+ca)\) hai, jo sirf tab 0 hoti hai jab koi do variables barabar hon.

Answer: (i)–(v) \(= 0\); (vi) \(= (a-b)(b-c)(c-a)(ab+bc+ca)\).

Question 3: Using properties of determinants, show that

In sawalon mein LHS se start kar ke properties apply karenge aur RHS tak pohnchenge. Aam strategy: pehle kisi row ya column ko add kar ke common factor nikalo, phir differences le kar zeros banao.

(i) \(\begin{vmatrix} 3 & 5 & 0 \\ 5 & 25 & 10 \\ 7 & 25 & 1 \end{vmatrix} = 25\begin{vmatrix} 3 & 1 & 0 \\ 1 & 1 & 2 \\ 7 & 5 & 1 \end{vmatrix}\)

Take \(5\) common from \(R_2\), then \(5\) common from \(C_2\):

\[ \text{L.H.S} = 5\begin{vmatrix} 3 & 5 & 0 \\ 1 & 5 & 2 \\ 7 & 25 & 1 \end{vmatrix} = 5 \times 5\begin{vmatrix} 3 & 1 & 0 \\ 1 & 1 & 2 \\ 7 & 5 & 1 \end{vmatrix} = 25\begin{vmatrix} 3 & 1 & 0 \\ 1 & 1 & 2 \\ 7 & 5 & 1 \end{vmatrix} = \text{R.H.S} \]

(ii) \(\begin{vmatrix} a+x & a & a \\ a & a+x & a \\ a & a & a+x \end{vmatrix} = x^2(3a+x)\)

Apply \(R_1 \to R_1 + R_2 + R_3\) and take \((3a+x)\) common from \(R_1\):

\[ \text{L.H.S} = (3a+x)\begin{vmatrix} 1 & 1 & 1 \\ a & a+x & a \\ a & a & a+x \end{vmatrix} \]

Apply \(R_2 \to R_2 - R_1\) and \(R_3 \to R_3 - R_1\):

\[ = (3a+x)\begin{vmatrix} 1 & 1 & 1 \\ 0 & x & 0 \\ 0 & 0 & x \end{vmatrix} = (3a+x) \cdot x^2 = x^2(3a+x) = \text{R.H.S} \]

(iii) \(\begin{vmatrix} 1 & x & yz \\ 1 & y & zx \\ 1 & z & xy \end{vmatrix} = \begin{vmatrix} 1 & x & x^2 \\ 1 & y & y^2 \\ 1 & z & z^2 \end{vmatrix}\)

Multiply \(R_1\) by \(x\), \(R_2\) by \(y\), \(R_3\) by \(z\) (and divide by \(xyz\)), then take \(xyz\) common from \(C_3\):

\[ \text{L.H.S} = \frac{1}{xyz}\begin{vmatrix} x & x^2 & xyz \\ y & y^2 & xyz \\ z & z^2 & xyz \end{vmatrix} = \frac{xyz}{xyz}\begin{vmatrix} x & x^2 & 1 \\ y & y^2 & 1 \\ z & z^2 & 1 \end{vmatrix} \]

Interchange \(C_1 \leftrightarrow C_3\) and then \(C_2 \leftrightarrow C_3\) (two swaps, so no sign change):

\[ = \begin{vmatrix} 1 & x & x^2 \\ 1 & y & y^2 \\ 1 & z & z^2 \end{vmatrix} = \text{R.H.S} \]

(iv) \(\begin{vmatrix} 1 & x & x^2 \\ 1 & y & y^2 \\ 1 & z & z^2 \end{vmatrix} = (x-y)(y-z)(z-x)\)

Apply \(R_1 \to R_1 - R_2\) and \(R_2 \to R_2 - R_3\), then take \((x-y)\) from \(R_1\) and \((y-z)\) from \(R_2\):

\[ \text{L.H.S} = (x-y)(y-z)\begin{vmatrix} 0 & 1 & x+y \\ 0 & 1 & y+z \\ 1 & z & z^2 \end{vmatrix} \]

Expanding along \(C_1\):

\[ = (x-y)(y-z)\begin{vmatrix} 1 & x+y \\ 1 & y+z \end{vmatrix} = (x-y)(y-z)(z-x) = \text{R.H.S} \]

(v) \(\begin{vmatrix} 1 & 1 & 1 \\ a+1 & b+1 & c+1 \\ (a+1)^2 & (b+1)^2 & (c+1)^2 \end{vmatrix} = (a-b)(b-c)(c-a)\)

Put \(x = a+1\), \(y = b+1\), \(z = c+1\). The determinant becomes the Vandermonde form of part (iv):

\[ \text{L.H.S} = \begin{vmatrix} 1 & 1 & 1 \\ x & y & z \\ x^2 & y^2 & z^2 \end{vmatrix} \]

Apply \(C_1 \to C_1 - C_2\) and \(C_2 \to C_2 - C_3\), take \((x-y)\) from \(C_1\) and \((y-z)\) from \(C_2\):

\[ = (x-y)(y-z)\begin{vmatrix} 0 & 0 & 1 \\ 1 & 1 & z \\ x+y & y+z & z^2 \end{vmatrix} \]

Expanding along \(R_1\) gives \((x-y)(y-z)(z-x)\). Substituting back \(x = a+1\) etc.:

\[ = (a-b)(b-c)(c-a) = \text{R.H.S} \]

(vi) \(\begin{vmatrix} a^2+b^2 & c^2 & c^2 \\ a^2 & b^2+c^2 & a^2 \\ b^2 & b^2 & c^2+a^2 \end{vmatrix} = 4a^2b^2c^2\)

Apply \(R_1 \to R_1 - R_2 - R_3\) — the first row becomes \((0, -2b^2, -2a^2)\):

\[ \text{L.H.S} = \begin{vmatrix} 0 & -2b^2 & -2a^2 \\ a^2 & b^2+c^2 & a^2 \\ b^2 & b^2 & c^2+a^2 \end{vmatrix} \]

Expanding along \(R_1\):

\[ = 2b^2\begin{vmatrix} a^2 & a^2 \\ b^2 & c^2+a^2 \end{vmatrix} - 2a^2\begin{vmatrix} a^2 & b^2+c^2 \\ b^2 & b^2 \end{vmatrix} \]
\[ = 2b^2\big[a^2(c^2+a^2) - a^2b^2\big] - 2a^2\big[a^2b^2 - b^2(b^2+c^2)\big] \]
\[ = 2a^2b^2\big[(c^2+a^2-b^2) - (a^2-b^2-c^2)\big] = 2a^2b^2(2c^2) = 4a^2b^2c^2 = \text{R.H.S} \]

(vii) \(\begin{vmatrix} a & b & c \\ b+c & c+a & a+b \\ a+b & b+c & c+a \end{vmatrix} = a^3 + b^3 + c^3 - 3abc\)

Apply \(C_1 \to C_1 + C_2 + C_3\) and take \((a+b+c)\) common from \(C_1\):

\[ \text{L.H.S} = (a+b+c)\begin{vmatrix} 1 & b & c \\ 2 & c+a & a+b \\ 2 & b+c & c+a \end{vmatrix} \]

Apply \(C_2 \to C_2 - bC_1\) and \(C_3 \to C_3 - cC_1\), then expand along \(R_1\):

\[ = (a+b+c)\begin{vmatrix} 1 & 0 & 0 \\ 2 & c+a-2b & a+b-2c \\ 2 & c-b & a-c \end{vmatrix} = (a+b+c)\big[(c+a-2b)(a-c) - (a+b-2c)(c-b)\big] \]

Expanding the bracket gives \(a^2+b^2+c^2-ab-bc-ca\). Hence:

\[ \text{L.H.S} = (a+b+c)(a^2+b^2+c^2-ab-bc-ca) = a^3+b^3+c^3-3abc = \text{R.H.S} \]

(viii) \(\begin{vmatrix} a+t & a & a \\ b & b+t & b \\ c & c & c+t \end{vmatrix} = t^2(a+b+c+t)\)

Apply \(R_1 \to R_1 + R_2 + R_3\) and take \((a+b+c+t)\) common from \(R_1\):

\[ \text{L.H.S} = (a+b+c+t)\begin{vmatrix} 1 & 1 & 1 \\ b & b+t & b \\ c & c & c+t \end{vmatrix} \]

Apply \(C_2 \to C_2 - C_1\) and \(C_3 \to C_3 - C_1\), then expand along \(R_1\):

\[ = (a+b+c+t)\begin{vmatrix} 1 & 0 & 0 \\ b & t & 0 \\ c & 0 & t \end{vmatrix} = (a+b+c+t)(t^2) = t^2(a+b+c+t) = \text{R.H.S} \]

(ix) \(\begin{vmatrix} a-b-c & 2a & 2a \\ 2b & b-c-a & 2b \\ 2c & 2c & c-a-b \end{vmatrix} = (a+b+c)^3\)

Apply \(R_1 \to R_1 + R_2 + R_3\) and take \((a+b+c)\) common from \(R_1\):

\[ \text{L.H.S} = (a+b+c)\begin{vmatrix} 1 & 1 & 1 \\ 2b & b-c-a & 2b \\ 2c & 2c & c-a-b \end{vmatrix} \]

Apply \(C_2 \to C_2 - C_1\) and \(C_3 \to C_3 - C_1\):

\[ = (a+b+c)\begin{vmatrix} 1 & 0 & 0 \\ 2b & -(a+b+c) & 0 \\ 2c & 0 & -(a+b+c) \end{vmatrix} \]

Expanding along \(R_1\):

\[ = (a+b+c)\big[-(a+b+c)\big]\big[-(a+b+c)\big] = (a+b+c)^3 = \text{R.H.S} \]

(x) \(\begin{vmatrix} y+z & z+x & x+y \\ x & y & z \\ x^2 & y^2 & z^2 \end{vmatrix} = (x+y+z)(x-y)(y-z)(z-x)\)

Apply \(R_1 \to R_1 + R_2\) — the first row becomes \((x+y+z, x+y+z, x+y+z)\). Take \((x+y+z)\) common:

\[ \text{L.H.S} = (x+y+z)\begin{vmatrix} 1 & 1 & 1 \\ x & y & z \\ x^2 & y^2 & z^2 \end{vmatrix} \]

This is the Vandermonde determinant of part (iv) (with variables in rows), which equals \((x-y)(y-z)(z-x)\). Hence:

\[ \text{L.H.S} = (x+y+z)(x-y)(y-z)(z-x) = \text{R.H.S} \]

(xi) \(\begin{vmatrix} 1 & 1 & 1 \\ a^2+1 & b^2+1 & c^2+1 \\ a^3+a & b^3+b & c^3+c \end{vmatrix} = (a-b)(b-c)(c-a)(ab+bc+ca-1)\)

Apply \(C_1 \to C_1 - C_2\) and \(C_2 \to C_2 - C_3\). Using \(a^2 - b^2 = (a-b)(a+b)\) and \(a^3 + a - b^3 - b = (a-b)(a^2+ab+b^2+1)\):

\[ \text{L.H.S} = \begin{vmatrix} 0 & 0 & 1 \\ a^2-b^2 & b^2-c^2 & c^2+1 \\ (a-b)(a^2+ab+b^2+1) & (b-c)(b^2+bc+c^2+1) & c^3+c \end{vmatrix} \]

Take \((a-b)\) common from \(C_1\) and \((b-c)\) common from \(C_2\), then expand along \(R_1\):

\[ = (a-b)(b-c)\begin{vmatrix} a+b & b+c \\ a^2+ab+b^2+1 & b^2+bc+c^2+1 \end{vmatrix} \]
\[ = (a-b)(b-c)\big[(a+b)(b^2+bc+c^2+1) - (b+c)(a^2+ab+b^2+1)\big] \]

Expanding and simplifying the bracket gives \((c-a)(ab+bc+ca-1)\). Therefore:

\[ \text{L.H.S} = (a-b)(b-c)(c-a)(ab+bc+ca-1) = \text{R.H.S} \]

(xii) \(\begin{vmatrix} 1+a & 1 & 1 \\ 1 & 1+b & 1 \\ 1 & 1 & 1+c \end{vmatrix} = abc + ab + bc + ca\)

Apply \(R_1 \to R_1 - R_2\) and \(R_2 \to R_2 - R_3\):

\[ \text{L.H.S} = \begin{vmatrix} a & -b & 0 \\ 0 & b & -c \\ 1 & 1 & 1+c \end{vmatrix} \]

Expanding along \(R_1\):

\[ = a\big[b(1+c) + c\big] + b\big[0 + c\big] = a(b + bc + c) + bc \]
\[ = ab + abc + ac + bc = abc + ab + bc + ca = \text{R.H.S} \]

(xiii) \(\begin{vmatrix} 1 & a & a^2-bc \\ 1 & b & b^2-ca \\ 1 & c & c^2-ab \end{vmatrix} = 0\)

Apply \(R_1 \to R_1 - R_2\) and \(R_2 \to R_2 - R_3\). Since \(a^2 - b^2 - bc + ca = (a-b)(a+b+c)\):

\[ \text{L.H.S} = \begin{vmatrix} 0 & a-b & (a-b)(a+b+c) \\ 0 & b-c & (b-c)(a+b+c) \\ 1 & c & c^2-ab \end{vmatrix} \]

Take \((a-b)\) common from \(R_1\) and \((b-c)\) common from \(R_2\):

\[ = (a-b)(b-c)\begin{vmatrix} 0 & 1 & a+b+c \\ 0 & 1 & a+b+c \\ 1 & c & c^2-ab \end{vmatrix} \]

Since \(R_1\) and \(R_2\) are identical, the determinant is \(0\).

(xiv) \(\begin{vmatrix} 2x+3 & x+2 & x+a \\ 2x+5 & x+3 & x+b \\ 2x+7 & x+4 & x+c \end{vmatrix} = 0\), where \(2b = a+c\)

Apply \(R_2 \to R_2 - R_1\) and \(R_3 \to R_3 - R_2\):

\[ \text{L.H.S} = \begin{vmatrix} 2x+3 & x+2 & x+a \\ 2 & 1 & b-a \\ 2 & 1 & c-b \end{vmatrix} \]

Apply \(R_3 \to R_3 - R_2\):

\[ = \begin{vmatrix} 2x+3 & x+2 & x+a \\ 2 & 1 & b-a \\ 0 & 0 & c-2b+a \end{vmatrix} \]

Since \(2b = a + c\), we have \(c - 2b + a = 0\), so \(R_3\) becomes a zero row. Hence the determinant is \(0\).

(xv) \(\begin{vmatrix} a & b & c \\ c & a & b \\ b & c & a \end{vmatrix} = (a+b+c)(a+b\omega+c\omega^2)(a+b\omega^2+c\omega)\)

Apply \(C_1 \to C_1 + C_2 + C_3\) and take \((a+b+c)\) common from \(C_1\):

\[ \text{L.H.S} = (a+b+c)\begin{vmatrix} 1 & b & c \\ 1 & a & b \\ 1 & c & a \end{vmatrix} \]

Apply \(R_2 \to R_2 - R_1\) and \(R_3 \to R_3 - R_1\), then expand along \(C_1\):

\[ = (a+b+c)\begin{vmatrix} 1 & b & c \\ 0 & a-b & b-c \\ 0 & c-b & a-c \end{vmatrix} = (a+b+c)\big[(a-b)(a-c) - (b-c)(c-b)\big] \]
\[ = (a+b+c)(a^2+b^2+c^2-ab-bc-ca) \]

Using the cube roots of unity (\(\omega^3 = 1\), \(1 + \omega + \omega^2 = 0\)):

\[ a^2+b^2+c^2-ab-bc-ca = (a+b\omega+c\omega^2)(a+b\omega^2+c\omega) \]

Therefore \(\text{L.H.S} = (a+b+c)(a+b\omega+c\omega^2)(a+b\omega^2+c\omega) = \text{R.H.S}\).

Answer: All fifteen identities are proved using determinant properties.

Question 4: Given \(A = \begin{bmatrix} 1 & 2 & -3 \\ 0 & -5 & 0 \\ -2 & 2 & 7 \end{bmatrix}\) and \(B = \begin{bmatrix} -5 & -2 & 5 \\ -3 & -1 & 4 \\ -2 & -1 & 2 \end{bmatrix}\), find the cofactors \(A_{23}\), \(A_{31}\), \(A_{32}\), \(B_{31}\), \(B_{32}\), \(B_{33}\) and the determinants \(|A|\), \(|B|\)

Cofactor ka formula \(A_{ij} = (-1)^{i+j} M_{ij}\) hai, jahan \(M_{ij}\) minor hai. Determinant nikalne ke liye kisi bhi row ya column ke along expand kar sakte hain — woh row/column choose karen jis mein zyada zeros hon.

Cofactors of \(A\):

\[ A_{23} = (-1)^{2+3}\begin{vmatrix} 1 & 2 \\ -2 & 2 \end{vmatrix} = -(2 + 4) = -6 \]
\[ A_{31} = (-1)^{3+1}\begin{vmatrix} 2 & -3 \\ -5 & 0 \end{vmatrix} = (0 - 15) = -15 \]
\[ A_{32} = (-1)^{3+2}\begin{vmatrix} 1 & -3 \\ 0 & 0 \end{vmatrix} = -(0 - 0) = 0 \]

Determinant of \(A\) (expanding along \(R_1\)):

\[ |A| = 1\big[(-5)(7) - 0\big] - 2(0 - 0) + (-3)\big[0 - (-5)(-2)\big] = -35 + 0 + 30 = -5 \]

Cofactors of \(B\):

\[ B_{31} = (-1)^{3+1}\begin{vmatrix} -2 & 5 \\ -1 & 4 \end{vmatrix} = (-8 + 5) = -3 \]
\[ B_{32} = (-1)^{3+2}\begin{vmatrix} -5 & 5 \\ -3 & 4 \end{vmatrix} = -(-20 + 15) = 5 \]
\[ B_{33} = (-1)^{3+3}\begin{vmatrix} -5 & -2 \\ -3 & -1 \end{vmatrix} = (5 - 6) = -1 \]

Determinant of \(B\) (expanding along \(R_1\)):

\[ |B| = -5\big[(-1)(2) - 4(-1)\big] + 2\big[(-3)(2) - 4(-2)\big] + 5\big[(-3)(-1) - (-1)(-2)\big] \]
\[ = -5(2) + 2(2) + 5(1) = -10 + 4 + 5 = -1 \]
Answer: \(A_{23} = -6\), \(A_{31} = -15\), \(A_{32} = 0\), \(|A| = -5\); \(B_{31} = -3\), \(B_{32} = 5\), \(B_{33} = -1\), \(|B| = -1\).

Question 5: Find the values of \(x\)

Determinant ko expand kar ke \(x\) mein equation banayenge aur phir use solve karenge. Expansion mein sign pattern \(+,-,+\) ka khaas khayal rakhen.

(i) \(\begin{vmatrix} 2 & 1 & x \\ -1 & -4 & -3 \\ x & 1 & 0 \end{vmatrix} = 5\)

Expanding along \(R_1\):

\[ 2\big[(-4)(0) - (-3)(1)\big] - 1\big[(-1)(0) - (-3)(x)\big] + x\big[(-1)(1) - (-4)(x)\big] = 5 \]
\[ 2(3) - 3x + x(-1 + 4x) = 5 \implies 6 - 4x + 4x^2 = 5 \]
\[ 4x^2 - 4x + 1 = 0 \implies (2x - 1)^2 = 0 \implies x = \frac{1}{2} \]

(ii) \(\begin{vmatrix} 1 & x-1 & 3 \\ -1 & x+1 & 2 \\ 2 & -3 & x \end{vmatrix} = 9\)

Expanding along \(R_1\):

\[ 1\big[(x+1)x + 6\big] - (x-1)\big[-x - 4\big] + 3\big[3 - 2(x+1)\big] = 9 \]
\[ (x^2 + x + 6) + (x-1)(x+4) + 3(1 - 2x) = 9 \]
\[ x^2 + x + 6 + x^2 + 3x - 4 + 3 - 6x = 9 \implies 2x^2 - 2x - 4 = 0 \]
\[ x^2 - x - 2 = 0 \implies (x-2)(x+1) = 0 \implies x = 2 \text{ or } x = -1 \]

(iii) \(\begin{vmatrix} 1 & 1 & 1 \\ 2 & x & 2 \\ 3 & 6 & x \end{vmatrix} = 0\)

Expanding along \(R_1\):

\[ 1(x^2 - 12) - 1(2x - 6) + 1(12 - 3x) = 0 \]
\[ x^2 - 5x + 6 = 0 \implies (x-2)(x-3) = 0 \implies x = 2 \text{ or } x = 3 \]
Answer: (i) \(x = \frac{1}{2}\); (ii) \(x = 2, -1\); (iii) \(x = 2, 3\).

Question 6: Find \(|A^t|\) and \(|AA^t|\) if (i) \(A = \begin{bmatrix} -3 & 2 & -1 \\ 2 & 1 & 3 \end{bmatrix}\) and (ii) \(A = \begin{bmatrix} 3 & 1 \\ 2 & 2 \\ 1 & 3 \end{bmatrix}\)

Sab se pehle yaad rakhen: determinant sirf square matrix ka hota hai. Dono parts mein \(A\) non-square hai, is liye \(|A|\) aur \(|A^t|\) define nahi hote. Lekin \(AA^t\) hamesha square hoti hai, is liye \(|AA^t|\) nikal sakte hain.

(i) \(A\) is \(2 \times 3\), so \(|A|\) and \(|A^t|\) do not exist. But \(AA^t\) is \(2 \times 2\):

\[ AA^t = \begin{bmatrix} -3 & 2 & -1 \\ 2 & 1 & 3 \end{bmatrix}\begin{bmatrix} -3 & 2 \\ 2 & 1 \\ -1 & 3 \end{bmatrix} = \begin{bmatrix} 14 & -7 \\ -7 & 14 \end{bmatrix} \]
\[ |AA^t| = (14)(14) - (-7)(-7) = 196 - 49 = 147 \]

(ii) \(A\) is \(3 \times 2\), so \(|A^t|\) does not exist. But \(AA^t\) is \(3 \times 3\):

\[ AA^t = \begin{bmatrix} 3 & 1 \\ 2 & 2 \\ 1 & 3 \end{bmatrix}\begin{bmatrix} 3 & 2 & 1 \\ 1 & 2 & 3 \end{bmatrix} = \begin{bmatrix} 10 & 8 & 6 \\ 8 & 8 & 8 \\ 6 & 8 & 10 \end{bmatrix} \]
\[ |AA^t| = 10(80-64) - 8(80-48) + 6(64-48) = 160 - 256 + 96 = 0 \]

Common mistake: Non-square matrix ka determinant nikalne ki koshish karna. Determinant sirf square matrix ke liye define hota hai.

Answer: (i) \(|A^t|\) does not exist, \(|AA^t| = 147\); (ii) \(|A^t|\) does not exist, \(|AA^t| = 0\).

Question 7: If \(A\) is a square matrix of order 3, show that \(|kA| = k^3|A|\)

Jab matrix ko scalar \(k\) se multiply karte hain to har row ke har entry mein \(k\) aa jata hai. Determinant ki property ke mutabiq har row se \(k\) common bahar nikalta hai — aur 3 rows hain, is liye \(k^3\) bahar aayega.

Let \(A = \begin{bmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{bmatrix}\). Then:

\[ kA = \begin{bmatrix} ka_{11} & ka_{12} & ka_{13} \\ ka_{21} & ka_{22} & ka_{23} \\ ka_{31} & ka_{32} & ka_{33} \end{bmatrix} \]

Taking \(k\) common from each of the three rows:

\[ |kA| = k \cdot k \cdot k \begin{vmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{vmatrix} = k^3|A| \]

Hence proved. (In general, for an \(n \times n\) matrix, \(|kA| = k^n|A|\).)

Answer: \(|kA| = k^3|A|\). Proved.

Question 8: Find the value of \(\lambda\) if \(A = \begin{bmatrix} 4 & 2 & 3 \\ 7 & \lambda & 6 \\ 2 & 3 & 1 \end{bmatrix}\) and \(B = \begin{bmatrix} -2 & 4 & 5 \\ 1 & -2 & 1 \\ 2 & \lambda & 0 \end{bmatrix}\) are singular

Singular matrix ka matlab hai ke us ka determinant zero hai. Hum \(|A| = 0\) aur \(|B| = 0\) rakh kar \(\lambda\) ke liye linear equations banayenge.

For \(A\): since \(A\) is singular, \(|A| = 0\).

\[ 4\big[\lambda(1) - 6(3)\big] - 2\big[7(1) - 6(2)\big] + 3\big[7(3) - \lambda(2)\big] = 0 \]
\[ 4(\lambda - 18) - 2(-5) + 3(21 - 2\lambda) = 0 \implies 4\lambda - 72 + 10 + 63 - 6\lambda = 0 \]
\[ -2\lambda + 1 = 0 \implies \lambda = \frac{1}{2} \]

For \(B\): since \(B\) is singular, \(|B| = 0\).

\[ -2\big[(-2)(0) - 1(\lambda)\big] - 4\big[1(0) - 1(2)\big] + 5\big[1(\lambda) - (-2)(2)\big] = 0 \]
\[ -2(-\lambda) - 4(-2) + 5(\lambda + 4) = 0 \implies 2\lambda + 8 + 5\lambda + 20 = 0 \]
\[ 7\lambda + 28 = 0 \implies \lambda = -4 \]
Answer: For \(A\), \(\lambda = \frac{1}{2}\); for \(B\), \(\lambda = -4\).

Question 9: If \(A = \begin{bmatrix} 1 & 2 & 1 \\ -5 & 0 & 4 \\ 5 & 4 & 0 \end{bmatrix}\), find \(A^{-1}\) and show that \(A^{-1}A = I_3\)

Inverse ka formula \(A^{-1} = \frac{1}{|A|}\text{adj } A\) hai. Pehle determinant nikalenge (agar zero hua to inverse exist nahi karega), phir saare 9 cofactors nikal kar adjoint banayenge, aur aakhir mein multiply kar ke verify karenge.

First find \(|A|\) by expanding along \(R_1\):

\[ |A| = 1(0 - 16) - 2(0 - 20) + 1(-20 - 0) = -16 + 40 - 20 = 4 \neq 0 \]

Since \(|A| \neq 0\), \(A^{-1}\) exists. The cofactors are:

\[ \begin{aligned} A_{11} &= -16, & A_{12} &= 20, & A_{13} &= -20, \\ A_{21} &= 4, & A_{22} &= -5, & A_{23} &= 6, \\ A_{31} &= 8, & A_{32} &= -9, & A_{33} &= 10. \end{aligned} \]

The adjoint is the transpose of the cofactor matrix:

\[ \text{adj } A = \begin{bmatrix} -16 & 4 & 8 \\ 20 & -5 & -9 \\ -20 & 6 & 10 \end{bmatrix}, \qquad A^{-1} = \frac{1}{4}\begin{bmatrix} -16 & 4 & 8 \\ 20 & -5 & -9 \\ -20 & 6 & 10 \end{bmatrix} \]

Now verify \(A^{-1}A = I_3\):

\[ A^{-1}A = \frac{1}{4}\begin{bmatrix} -16 & 4 & 8 \\ 20 & -5 & -9 \\ -20 & 6 & 10 \end{bmatrix}\begin{bmatrix} 1 & 2 & 1 \\ -5 & 0 & 4 \\ 5 & 4 & 0 \end{bmatrix} = \frac{1}{4}\begin{bmatrix} 4 & 0 & 0 \\ 0 & 4 & 0 \\ 0 & 0 & 4 \end{bmatrix} = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} = I_3 \]
Answer: \(A^{-1} = \frac{1}{4}\begin{bmatrix} -16 & 4 & 8 \\ 20 & -5 & -9 \\ -20 & 6 & 10 \end{bmatrix}\), and \(A^{-1}A = I_3\) is verified.

Question 10: Verify that \((AB)^t = B^tA^t\) if (i) \(A = \begin{bmatrix} 1 & -1 & 2 \\ 0 & -3 & 1 \end{bmatrix}\), \(B = \begin{bmatrix} 1 & 1 \\ -3 & -2 \\ 0 & 1 \end{bmatrix}\) and (ii) \(A = \begin{bmatrix} 1 & 2 \\ 1 & 4 \\ 2 & 1 \end{bmatrix}\), \(B = \begin{bmatrix} 1 & -3 \\ -2 & 1 \end{bmatrix}\)

Hum LHS \((AB)^t\) aur RHS \(B^tA^t\) dono ko alag alag calculate kar ke compare karenge. Yaad rakhen ke transpose mein order reverse hota hai — is liye RHS mein pehle \(B^t\) phir \(A^t\) aata hai.

(i) LHS: \(AB = \begin{bmatrix} 1+3+0 & 1+2+2 \\ 0+9+0 & 0+6+1 \end{bmatrix} = \begin{bmatrix} 4 & 5 \\ 9 & 7 \end{bmatrix}\), so \((AB)^t = \begin{bmatrix} 4 & 9 \\ 5 & 7 \end{bmatrix}\).

\[ B^tA^t = \begin{bmatrix} 1 & -3 & 0 \\ 1 & -2 & 1 \end{bmatrix}\begin{bmatrix} 1 & 0 \\ -1 & -3 \\ 2 & 1 \end{bmatrix} = \begin{bmatrix} 4 & 9 \\ 5 & 7 \end{bmatrix} \]

LHS = RHS, verified.

(ii) LHS: \(AB = \begin{bmatrix} 1-4 & -3+2 \\ 1-8 & -3+4 \\ 2-2 & -6+1 \end{bmatrix} = \begin{bmatrix} -3 & -1 \\ -7 & 1 \\ 0 & -5 \end{bmatrix}\), so \((AB)^t = \begin{bmatrix} -3 & -7 & 0 \\ -1 & 1 & -5 \end{bmatrix}\).

\[ B^tA^t = \begin{bmatrix} 1 & -2 \\ -3 & 1 \end{bmatrix}\begin{bmatrix} 1 & 1 & 2 \\ 2 & 4 & 1 \end{bmatrix} = \begin{bmatrix} -3 & -7 & 0 \\ -1 & 1 & -5 \end{bmatrix} \]

LHS = RHS, verified.

Answer: \((AB)^t = B^tA^t\) is verified in both cases.