Class 10 Optional Mathematics Matrix and Determinant: 88 Solved Questions (SEE)
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1. Class 10 Optional Mathematics Matrix and Determinant: Unit Overview and Key Formulas

Unit 6: Matrix and Determinant (Optional Mathematics, Grade 10, SEE, Nepal)

A rectangular arrangement of numbers in rows and columns is called a matrix. The term matrix was introduced by James Joseph Sylvester, and the use of capital letters such as A, B to denote matrices was developed by Arthur Cayley in 1858 AD. Matrices are widely used in computer science, engineering, economics and statistics, and determinants are used in calculating area and volume.

Class 10 Optional Mathematics Matrix and Determinant is the sixth unit of the course prescribed by the Curriculum Development Centre (CDC), Nepal. These notes solve every question of Exercises 6.1 to 6.4. Every question is written as in the textbook: the main question first (Q.1, Q.2, Q.3 …) with its parts (a, b, c …) listed under it and the Nepali question in brackets. The solutions follow the textbook style (Here, … Thus, …), and each exercise ends with an Answer box. The Miscellaneous Exercise of this unit is on a separate page.

  • Exercise 6.1 Transpose of a Matrix: rows and columns are interchanged, and \((A+B)^T=A^T+B^T\), \((kA)^T=kA^T\), \((A^T)^T=A\).
  • Exercise 6.2 Multiplication of Matrices: \(AB\) exists when columns of \(A\) = rows of \(B\); \(AB\neq BA\), \((AB)C=A(BC)\), \(A(B+C)=AB+AC\), \(AI=IA=A\), \((AB)^T=B^TA^T\).
  • Exercise 6.3 Determinant of a Matrix: a determinant exists only for a square matrix; \(|A|=ad-bc\); \(|AB|=|A||B|\).
  • Exercise 6.4 Inverse Matrix: \(AA^-1=A^-1A=I\) and \((AB)^-1=B^-1A^-1\).

Key formulas to remember

Transpose: \(A=\begin{bmatrix}3&-5&7\\2&4&-6\end{bmatrix}\) has order \(2\times 3\), so \(A^T=\begin{bmatrix}3&2\\-5&4\\7&-6\end{bmatrix}\) has order \(3\times 2\). A matrix is symmetric when \(A^T=A\).
Singular matrix: \(|A|=0\). Non-singular matrix: \(|A|\neq 0\). For \(A=\begin{bmatrix}a&b\\c&d\end{bmatrix}\), \(A^{-1}=\dfrac{1}{|A|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix}\), which exists only when \(|A|\neq 0\).
abcd+ ad− bc|A| = ad − bcA⁻¹ = (1 / |A|) [ d −b ; −c a ]A⁻¹ exists only when |A| ≠ 0

Figure: The determinant of a 2 × 2 matrix: main diagonal minus secondary diagonal, and the inverse formula.

For more chapters, visit the complete SEE Class 10 Optional Mathematics notes. You can also read about matrices and determinants for extra understanding.

2. Exercise 6.1 Transpose of a Matrix: Class 10 Optional Mathematics Matrix and Determinant

Exercise 6.1 Transpose of a Matrix: Multiple Choice Questions (बहुवैकल्पिक प्रश्न)

Q.1 Tick (✓) the correct option for the given questions:

(दिइएका प्रश्नहरूको उपयुक्त विकल्पमा ठिक चिह्न (✓) लगाउनुहोस् 🙂

A. What is meant by the transpose of a matrix? (मेट्रिक्सको क्रम परिवर्तन (transpose) भनेको के हो ?)

  • a) Only change of rows (पङ्क्तिको मात्र परिवर्तन)
  • b) Only change of columns (लहरको मात्र परिवर्तन)
  • c) Only change of signs (चिह्नको मात्र परिवर्तन)
  • d) Interchange of rows and columns (पङ्क्ति र लहरको परिवर्तन)

Correct Answer: d) Interchange of rows and columns (पङ्क्ति र लहरको परिवर्तन)

Solution:

  • The transpose of a matrix \(A\) (written \(A^T\) or \(A’\)) is obtained by interchanging its rows and columns.
  • The first row becomes the first column, the second row becomes the second column, and so on.

(मेट्रिक्सको क्रम परिवर्तन (transpose) गर्दा पङ्क्ति (rows) लाई लहर (columns) मा र लहरलाई पङ्क्तिमा साटिन्छ ।)


B. If \(C=\begin{bmatrix}5 & -1 & -2 \\ 4 & 6 & 8\end{bmatrix}\), then which of the following is the matrix \(C^T\)? (यदि \(C=\begin{bmatrix}5 & -1 & -2 \\ 4 & 6 & 8\end{bmatrix}\) छ भने मेट्रिक्स \(C^T\) तलका मध्ये कुन हुन्छ ?)

  • a) \(\begin{bmatrix}5 & -1 & -2 \\ 4 & 6 & 8\end{bmatrix}\)
  • b) \(\begin{bmatrix}5 & 4 \\ -1 & 6 \\ -2 & 8\end{bmatrix}\)
  • c) \(\begin{bmatrix}4 & 5 \\ 6 & -1 \\ 8 & -2\end{bmatrix}\)
  • d) \(\begin{bmatrix}-5 & -4 \\ 1 & -6 \\ 2 & -8\end{bmatrix}\)

Correct Answer: b) \(\begin{bmatrix}5 & 4 \\ -1 & 6 \\ -2 & 8\end{bmatrix}\)

Solution:

  • Here, \(C\) has order \(2\times 3\). Write Row 1 as Column 1 and Row 2 as Column 2.
\[C^T=\begin{bmatrix}5 & 4 \\ -1 & 6 \\ -2 & 8\end{bmatrix}\]

(\(C\) को पहिलो पङ्क्तिलाई पहिलो लहर र दोस्रो पङ्क्तिलाई दोस्रो लहर बनाउँदा \(C^T=\begin{bmatrix}5 & 4 \\ -1 & 6 \\ -2 & 8\end{bmatrix}\) प्राप्त हुन्छ ।)


C. If the symmetric matrix \(A=\begin{bmatrix}5 & -3 \\ -3 & 4\end{bmatrix}\), then which of the following is \(A^T\)? (सममितिक मेट्रिक्स \(A=\begin{bmatrix}5 & -3 \\ -3 & 4\end{bmatrix}\) भए \(A^T\) तलका मध्ये कुन हुन्छ ?)

  • a) \(\begin{bmatrix}5 & -3 \\ -3 & 4\end{bmatrix}\)
  • b) \(\begin{bmatrix}-5 & -3 \\ -3 & -4\end{bmatrix}\)
  • c) \(\begin{bmatrix}5 & 3 \\ 3 & 4\end{bmatrix}\)
  • d) \(\begin{bmatrix}5 & -3 \\ 4 & -3\end{bmatrix}\)

Correct Answer: a) \(\begin{bmatrix}5 & -3 \\ -3 & 4\end{bmatrix}\)

Solution:

  • A matrix \(A\) is symmetric if and only if \(A^T=A\).
  • Taking the transpose: Row 1 \(\begin{bmatrix}5&-3\end{bmatrix}\) becomes Column 1 and Row 2 \(\begin{bmatrix}-3&4\end{bmatrix}\) becomes Column 2.
\[A^T=\begin{bmatrix}5 & -3 \\ -3 & 4\end{bmatrix}\]

(सममितिक (symmetric) मेट्रिक्सका लागि \(A^T=A\) हुन्छ ।)


D. If \(P=\begin{bmatrix}0 & 3 \\ 2 & 1 \\ 4 & 7\end{bmatrix}\) and \(Q=\begin{bmatrix}3 & -5 \\ -6 & 1 \\ 8 & 2\end{bmatrix}\), then which of the following is \((P+Q)^T\)? (यदि \(P=\begin{bmatrix}0 & 3 \\ 2 & 1 \\ 4 & 7\end{bmatrix}\) र \(Q=\begin{bmatrix}3 & -5 \\ -6 & 1 \\ 8 & 2\end{bmatrix}\) भए \((P+Q)^T\) तलका मध्ये कुन हो ?)

  • a) \(\begin{bmatrix}3 & -4 & 12 \\ -2 & 2 & 9\end{bmatrix}\)
  • b) \(\begin{bmatrix}3 & -2 \\ -4 & 2 \\ 12 & 9\end{bmatrix}\)
  • c) \(\begin{bmatrix}-3 & 4 & -12 \\ 2 & -2 & -9\end{bmatrix}\)
  • d) \(\begin{bmatrix}-3 & -4 \\ 1 & -6 \\ 2 & -8\end{bmatrix}\)

Correct Answer: a) \(\begin{bmatrix}3 & -4 & 12 \\ -2 & 2 & 9\end{bmatrix}\)

Solution:

  • Step 1: Add the matrices.
\[\begin{aligned}P+Q &= \begin{bmatrix}0 & 3 \\ 2 & 1 \\ 4 & 7\end{bmatrix}+\begin{bmatrix}3 & -5 \\ -6 & 1 \\ 8 & 2\end{bmatrix} \\ &= \begin{bmatrix}0+3 & 3+(-5) \\ 2+(-6) & 1+1 \\ 4+8 & 7+2\end{bmatrix} \\ &= \begin{bmatrix}3 & -2 \\ -4 & 2 \\ 12 & 9\end{bmatrix}\end{aligned}\]
  • Step 2: Interchange rows and columns.
\[(P+Q)^T=\begin{bmatrix}3 & -4 & 12 \\ -2 & 2 & 9\end{bmatrix}\]

(\(P+Q=\begin{bmatrix}3 & -2 \\ -4 & 2 \\ 12 & 9\end{bmatrix}\) आउँछ र यसको क्रम परिवर्तन गर्दा \((P+Q)^T=\begin{bmatrix}3 & -4 & 12 \\ -2 & 2 & 9\end{bmatrix}\) प्राप्त हुन्छ ।)

Exercise 6.1 Transpose of a Matrix: Written Questions (लेख्ने प्रश्न)

Q.2 Find the transpose matrices of the given matrices:

  • a. \(R=\begin{bmatrix}3 & 2 & 1\end{bmatrix}\)
  • b. \(W=\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\)
  • c. \(X=\begin{bmatrix}-1 & 5 \\ 3 & 7\end{bmatrix}\)
  • d. \(Y=\begin{bmatrix}3 & 4 & 7 \\ 2 & -1 & 10\end{bmatrix}\)
  • e. \(Z=\begin{bmatrix}0 & 1 \\ 5 & -4 \\ 4 & 5\end{bmatrix}\)
  • f. \(M=\begin{bmatrix}6 & 7 & 1 \\ 0 & 5 & 2 \\ -1 & 3 & 4\end{bmatrix}\)

(दिइएका मेट्रिक्सहरूको क्रम परिवर्तन मेट्रिक्स पत्ता लगाउनुहोस् 🙂

a. \(R=\begin{bmatrix}3 & 2 & 1\end{bmatrix}\)

Here, the given row matrix \(R=\begin{bmatrix}3 & 2 & 1\end{bmatrix}\) has order \(1\times 3\).

Interchange the rows and columns (Row \(i\) becomes Column \(i\)):

\[R^T=\begin{bmatrix}3 \\ 2 \\ 1\end{bmatrix}\]
\(R^T=\begin{bmatrix}3 \\ 2 \\ 1\end{bmatrix}\)

b. \(W=\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\)

Here, the given column matrix \(W=\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\) has order \(3\times 1\).

Interchange the rows and columns (Row \(i\) becomes Column \(i\)):

\[W^T=\begin{bmatrix}-3 & 4 & 5\end{bmatrix}\]
\(W^T=\begin{bmatrix}-3 & 4 & 5\end{bmatrix}\)

c. \(X=\begin{bmatrix}-1 & 5 \\ 3 & 7\end{bmatrix}\)

Here, the given square matrix \(X=\begin{bmatrix}-1 & 5 \\ 3 & 7\end{bmatrix}\) has order \(2\times 2\).

Interchange the rows and columns (Row \(i\) becomes Column \(i\)):

\[X^T=\begin{bmatrix}-1 & 3 \\ 5 & 7\end{bmatrix}\]
\(X^T=\begin{bmatrix}-1 & 3 \\ 5 & 7\end{bmatrix}\)

d. \(Y=\begin{bmatrix}3 & 4 & 7 \\ 2 & -1 & 10\end{bmatrix}\)

Here, the given matrix \(Y=\begin{bmatrix}3 & 4 & 7 \\ 2 & -1 & 10\end{bmatrix}\) has order \(2\times 3\).

Interchange the rows and columns (Row \(i\) becomes Column \(i\)):

\[Y^T=\begin{bmatrix}3 & 2 \\ 4 & -1 \\ 7 & 10\end{bmatrix}\]
\(Y^T=\begin{bmatrix}3 & 2 \\ 4 & -1 \\ 7 & 10\end{bmatrix}\)

e. \(Z=\begin{bmatrix}0 & 1 \\ 5 & -4 \\ 4 & 5\end{bmatrix}\)

Here, the given matrix \(Z=\begin{bmatrix}0 & 1 \\ 5 & -4 \\ 4 & 5\end{bmatrix}\) has order \(3\times 2\).

Interchange the rows and columns (Row \(i\) becomes Column \(i\)):

\[Z^T=\begin{bmatrix}0 & 5 & 4 \\ 1 & -4 & 5\end{bmatrix}\]
\(Z^T=\begin{bmatrix}0 & 5 & 4 \\ 1 & -4 & 5\end{bmatrix}\)

f. \(M=\begin{bmatrix}6 & 7 & 1 \\ 0 & 5 & 2 \\ -1 & 3 & 4\end{bmatrix}\)

Here, the given square matrix \(M=\begin{bmatrix}6 & 7 & 1 \\ 0 & 5 & 2 \\ -1 & 3 & 4\end{bmatrix}\) has order \(3\times 3\).

Interchange the rows and columns (Row \(i\) becomes Column \(i\)):

\[M^T=\begin{bmatrix}6 & 0 & -1 \\ 7 & 5 & 3 \\ 1 & 2 & 4\end{bmatrix}\]
\(M^T=\begin{bmatrix}6 & 0 & -1 \\ 7 & 5 & 3 \\ 1 & 2 & 4\end{bmatrix}\)

Q.3 If \(P=\begin{bmatrix}9 & 4 \\ 8 & 5\end{bmatrix}\), prove that \((P^T)^T=P\).

(यदि \(P=\begin{bmatrix}9 & 4 \\ 8 & 5\end{bmatrix}\) भए \((P^T)^T=P\) हुन्छ भनी प्रमाणित गर्नुहोस् ।)

Here, the given matrix is \(P=\begin{bmatrix}9 & 4 \\ 8 & 5\end{bmatrix}\).

Interchange the rows and columns of \(P\) (Row 1 \(\begin{bmatrix}9&4\end{bmatrix}\) becomes Column 1, Row 2 \(\begin{bmatrix}8&5\end{bmatrix}\) becomes Column 2):

\[P^T=\begin{bmatrix}9 & 8 \\ 4 & 5\end{bmatrix}\]

Again, interchange the rows and columns of \(P^T\):

\[(P^T)^T=\begin{bmatrix}9 & 4 \\ 8 & 5\end{bmatrix}\]

The matrix \((P^T)^T\) is identical to the original matrix \(P\).

Thus, \((P^T)^T=P\) is proved.

Q.4 If \(M=\begin{bmatrix}p & q & r \\ a & b & c \\ x & y & z\end{bmatrix}\), then,

  • a. Find \(M^T\) and \((M^T)^T\).
  • b. Write the relation of \(M\) and \((M^T)^T\).

(यदि \(M=\begin{bmatrix}p & q & r \\ a & b & c \\ x & y & z\end{bmatrix}\) भए, (क) \(M^T\) र \((M^T)^T\) पत्ता लगाउनुहोस् । (ख) \(M\) र \((M^T)^T\) को सम्बन्ध लेख्नुहोस् ।)

Here, the given matrix is \(M=\begin{bmatrix}p & q & r \\ a & b & c \\ x & y & z\end{bmatrix}\).

a. Finding \(M^T\) and \((M^T)^T\)

Change the rows of \(M\) into columns:

\[M^T=\begin{bmatrix}p & a & x \\ q & b & y \\ r & c & z\end{bmatrix}\]

Take the transpose of \(M^T\):

\[(M^T)^T=\begin{bmatrix}p & q & r \\ a & b & c \\ x & y & z\end{bmatrix}\]

b. Relation of \(M\) and \((M^T)^T\)

All corresponding elements of \(M\) and \((M^T)^T\) are identical.

Thus, \(M=(M^T)^T\) (the matrices are equal).

Q.5 If \(A=\begin{bmatrix}1 & 3 \\ -2 & 4\end{bmatrix}\) and \(B=\begin{bmatrix}0 & -3 \\ 2 & 5\end{bmatrix}\), then,

  • a. Find \((A^T+B^T)\).
  • b. Find \((A+B)^T\).
  • c. Can \((A+B)^T\) and \((A^T+B^T)\) be written equal? Give reason.

(यदि \(A=\begin{bmatrix}1 & 3 \\ -2 & 4\end{bmatrix}\) र \(B=\begin{bmatrix}0 & -3 \\ 2 & 5\end{bmatrix}\) भए, (क) \((A^T+B^T)\) पत्ता लगाउनुहोस् । (ख) \((A+B)^T\) पत्ता लगाउनुहोस् । (ग) के \((A+B)^T\) र \((A^T+B^T)\) बराबर लेख्न सकिन्छ, कारण दिनुहोस् ।)

Here, \(A=\begin{bmatrix}1 & 3 \\ -2 & 4\end{bmatrix}\) and \(B=\begin{bmatrix}0 & -3 \\ 2 & 5\end{bmatrix}\).

a. Find \(A^T+B^T\)

First, \(A^T=\begin{bmatrix}1 & -2 \\ 3 & 4\end{bmatrix},\quad B^T=\begin{bmatrix}0 & 2 \\ -3 & 5\end{bmatrix}\).

\[\begin{aligned}A^T+B^T &= \begin{bmatrix}1 & -2 \\ 3 & 4\end{bmatrix}+\begin{bmatrix}0 & 2 \\ -3 & 5\end{bmatrix} \\ &= \begin{bmatrix}1+0 & (-2)+2 \\ 3+(-3) & 4+5\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\end{aligned}\]

b. Find \((A+B)^T\)

\[\begin{aligned}A+B &= \begin{bmatrix}1 & 3 \\ -2 & 4\end{bmatrix}+\begin{bmatrix}0 & -3 \\ 2 & 5\end{bmatrix} \\ &= \begin{bmatrix}1+0 & 3+(-3) \\ (-2)+2 & 4+5\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\end{aligned}\]\[(A+B)^T=\begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\]

c. Comparison

Both results are equal to \(\begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\), so \((A+B)^T=A^T+B^T\).

Reason: the transpose of the sum of two matrices is equal to the sum of their transposes.

(a) \(A^T+B^T=\begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\) · (b) \((A+B)^T=\begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\) · (c) Yes

Q.6 If \(A=\begin{bmatrix}1 & 3 \\ 5 & 7\end{bmatrix}\) and \(B=\begin{bmatrix}2 & 4 \\ 6 & 8\end{bmatrix}\), then,

  • a. Prove that \((A+B)^T=A^T+B^T\).
  • b. Can \((A+B)\) be called a symmetric matrix? Give reason.

(यदि \(A=\begin{bmatrix}1 & 3 \\ 5 & 7\end{bmatrix}\) र \(B=\begin{bmatrix}2 & 4 \\ 6 & 8\end{bmatrix}\) भए, (क) \((A+B)^T=A^T+B^T\) हुन्छ भनी प्रमाणित गर्नुहोस् । (ख) के \((A+B)\) लाई सममितिक मेट्रिक्स भन्न सकिन्छ, कारण दिनुहोस् ।)

Here, \(A=\begin{bmatrix}1 & 3 \\ 5 & 7\end{bmatrix}\) and \(B=\begin{bmatrix}2 & 4 \\ 6 & 8\end{bmatrix}\).

a. Proof

L.H.S.:

\[\begin{aligned}A+B &= \begin{bmatrix}1 & 3 \\ 5 & 7\end{bmatrix}+\begin{bmatrix}2 & 4 \\ 6 & 8\end{bmatrix} \\ &= \begin{bmatrix}1+2 & 3+4 \\ 5+6 & 7+8\end{bmatrix} \\ &= \begin{bmatrix}3 & 7 \\ 11 & 15\end{bmatrix}\end{aligned}\]\[(A+B)^T=\begin{bmatrix}3 & 11 \\ 7 & 15\end{bmatrix}\tag{i}\]

R.H.S.:

\[\begin{aligned}A^T+B^T &= \begin{bmatrix}1 & 5 \\ 3 & 7\end{bmatrix}+\begin{bmatrix}2 & 6 \\ 4 & 8\end{bmatrix} \\ &= \begin{bmatrix}1+2 & 5+6 \\ 3+4 & 7+8\end{bmatrix} \\ &= \begin{bmatrix}3 & 11 \\ 7 & 15\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S., \((A+B)^T=A^T+B^T\) is proved.

b. Symmetric or not

A matrix \(M\) is symmetric if \(M^T=M\). Here \(A+B=\begin{bmatrix}3 & 7 \\ 11 & 15\end{bmatrix}\) but \((A+B)^T=\begin{bmatrix}3 & 11 \\ 7 & 15\end{bmatrix}\), and \(a_{12}=7\neq a_{21}=11\).

No, \((A+B)\) is not symmetric because \((A+B)^T\neq(A+B)\).

Q.7 If \(A=\begin{bmatrix}a&b\\c&d\end{bmatrix}\), \(B=\begin{bmatrix}4&-3\\-2&-5\end{bmatrix}\) and \(A^T=B\), find the values of \(a\), \(b\), \(c\) and \(d\).

(यदि \(A=\begin{bmatrix}a&b\\c&d\end{bmatrix}\), \(B=\begin{bmatrix}4&-3\\-2&-5\end{bmatrix}\) र \(A^T=B\) भए \(a,\ b,\ c\) र \(d\) को मान पत्ता लगाउनुहोस् ।)

Here, \(A^T=B\) and \(A^T=\begin{bmatrix}a&c\\b&d\end{bmatrix}\).

\[\begin{bmatrix}a&c\\b&d\end{bmatrix}=\begin{bmatrix}4&-3\\-2&-5\end{bmatrix}\]

Equating the corresponding elements of equal matrices:

  • Element \((1,1)\): \(a=4\)
  • Element \((1,2)\): \(c=-3\)
  • Element \((2,1)\): \(b=-2\)
  • Element \((2,2)\): \(d=-5\)
\(a=4,\ b=-2,\ c=-3,\ d=-5\)
Answer
1. A. d   B. b   C. a   D. a
2. a. \(\begin{bmatrix}3 \\ 2 \\ 1\end{bmatrix}\)   b. \(\begin{bmatrix}-3 & 4 & 5\end{bmatrix}\)   c. \(\begin{bmatrix}-1 & 3 \\ 5 & 7\end{bmatrix}\)   d. \(\begin{bmatrix}3 & 2 \\ 4 & -1 \\ 7 & 10\end{bmatrix}\)   e. \(\begin{bmatrix}0 & 5 & 4 \\ 1 & -4 & 5\end{bmatrix}\)   f. \(\begin{bmatrix}6 & 0 & -1 \\ 7 & 5 & 3 \\ 1 & 2 & 4\end{bmatrix}\)
3. Proved.   4. a. \(M^T=\begin{bmatrix}p & a & x \\ q & b & y \\ r & c & z\end{bmatrix}\) and \((M^T)^T=M\); b. equal
5. a. \(\begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\)   b. \(\begin{bmatrix}1 & 0 \\ 0 & 9\end{bmatrix}\)   c. Yes
6. a. Proved   b. No   7. \(a=4,\ b=-2,\ c=-3,\ d=-5\)

3. Exercise 6.2 Multiplication of Matrices: Class 10 Optional Mathematics Matrix and Determinant

Exercise 6.2 Multiplication of Matrices: Multiple Choice Questions (बहुवैकल्पिक प्रश्न)

Q.1 Tick (✓) the correct option for the given questions:

(दिइएका प्रश्नहरूको उपयुक्त विकल्पमा ठिक चिह्न (✓) लगाउनुहोस् 🙂

A. Under which condition is the multiplication of two matrices possible? (दुई मेट्रिक्सको गुणन तलका मध्ये कुन अवस्थामा सम्भव हुन्छ ?)

  • a) When the number of columns of the first matrix is equal to the number of rows of the second matrix. (पहिलो मेट्रिक्सको लहर सङ्ख्या = दोस्रो मेट्रिक्सको पङ्क्ति सङ्ख्या)
  • b) When the number of rows of the first matrix is equal to the number of columns of the second matrix. (पहिलो मेट्रिक्सको पङ्क्ति सङ्ख्या = दोस्रो मेट्रिक्सको लहर सङ्ख्या)
  • c) When the number of rows of the first matrix is equal to the number of rows of the second matrix. (दुवैको पङ्क्ति सङ्ख्या बराबर)
  • d) When the number of columns of the first matrix is equal to the number of columns of the second matrix. (दुवैको लहर सङ्ख्या बराबर)

Correct Answer: a) When the number of columns of the first matrix is equal to the number of rows of the second matrix. (पहिलो मेट्रिक्सको लहर सङ्ख्या = दोस्रो मेट्रिक्सको पङ्क्ति सङ्ख्या)

Solution:

  • Two matrices \(A_{m\times n}\) and \(B_{p\times q}\) can be multiplied to form \(AB\) if and only if \(n=p\).
  • That is, the number of columns of the first matrix must equal the number of rows of the second matrix.

(गुणनका लागि पहिलो मेट्रिक्सको लहर (columns) को सङ्ख्या दोस्रो मेट्रिक्सको पङ्क्ति (rows) को सङ्ख्यासँग बराबर हुनुपर्छ ।)


B. If \(A\), \(B\) and \(C\) are three matrices and \((AB)C=A(BC)\), what is the name of this property? (यदि \(A\), \(B\) र \(C\) तीनओटा मेट्रिक्समा \((AB)C=A(BC)\) भए यो गुणको नाम कुन हो ?)

  • a) Commutative property (क्रमविनिमय नियम)
  • b) Associative property (सङ्घीय नियम)
  • c) Distributive property (वितरण नियम)
  • d) Identity property (एकात्मक नियम)

Correct Answer: b) Associative property (सङ्घीय नियम)

Solution:

  • Changing the grouping of the factors without changing their order gives the same result.
  • This is the associative property.

(गुणनमा समूह परिवर्तन गर्दा नतिजा समान रहने गुणलाई सङ्घीय नियम (associative property) भनिन्छ ।)


C. If \(A\), \(B\) and \(C\) are three matrices and \(A(B+C)=AB+AC\), what is the name of this property? (यदि \(A\), \(B\) र \(C\) तीनओटा मेट्रिक्समा \(A(B+C)=AB+AC\) भए यो गुणको नाम कुन हो ?)

  • a) Commutative property (क्रमविनिमय नियम)
  • b) Associative property (सङ्घीय नियम)
  • c) Distributive property (वितरण नियम)
  • d) Identity property (एकात्मक नियम)

Correct Answer: c) Distributive property (वितरण नियम)

Solution:

  • Multiplying a matrix across an addition inside the brackets is the distributive property.

(जोडमा गुणनलाई बाँड्ने नियमलाई वितरण नियम (distributive property) भनिन्छ ।)


D. If \(A\) and \(I\) are respectively a square matrix and an identity matrix of the same order and \(AI=IA=A\), what is the name of this property? (यदि \(A\) र \(I\) उही क्रमका क्रमशः वर्ग मेट्रिक्स र एकात्मक मेट्रिक्स भए \(AI=IA=A\) हुन्छ भने यो गुणको नाम कुन हो ?)

  • a) Commutative property (क्रमविनिमय नियम)
  • b) Associative property (सङ्घीय नियम)
  • c) Distributive property (वितरण नियम)
  • d) Identity property (एकात्मक नियम)

Correct Answer: d) Identity property (एकात्मक नियम)

Solution:

  • The identity matrix leaves the matrix unchanged when it is multiplied.
  • This is the identity property.

(एकात्मक मेट्रिक्सले गुणन गर्दा मेट्रिक्स अपरिवर्तित रहने गुणलाई एकात्मक नियम (identity property) भनिन्छ ।)


E. If \(P=\begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}\) and \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\), then which of the following is the product \(PI\)? (यदि \(P=\begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}\) र \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\) भए \(PI\) को गुणनफल तलका मध्ये कुन हो ?)

  • a) \(\begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}\)
  • b) \(\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\)
  • c) \(\begin{bmatrix}2 & 2 \\ 3 & 5\end{bmatrix}\)
  • d) \(\begin{bmatrix}2 & 3 \\ 2 & 5\end{bmatrix}\)

Correct Answer: a) \(\begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}\)

Solution:

  • By the identity property of matrix multiplication, \(PI=P\).
\[PI=\begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}\]

(एकात्मक मेट्रिक्स \(I\) ले \(P\) लाई गुणन गर्दा \(PI=P=\begin{bmatrix}1 & 2 \\ 3 & 4\end{bmatrix}\) नै हुन्छ ।)


F. If \(W=\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\) and \(R=\begin{bmatrix}3 & 2 & 1\end{bmatrix}\), then what is the order of matrix \(WR\)? (यदि \(W=\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\) र \(R=\begin{bmatrix}3 & 2 & 1\end{bmatrix}\) भए \(WR\) मेट्रिक्सको क्रम तलका मध्ये कुन हो ?)

  • a) \(3\times 1\)
  • b) \(1\times 3\)
  • c) \(2\times 2\)
  • d) \(3\times 3\)

Correct Answer: d) \(3\times 3\)

Solution:

  • The order of \(W\) is \(3\times 1\) and the order of \(R\) is \(1\times 3\).
  • The columns of \(W\) (\(1\)) equal the rows of \(R\) (\(1\)), so the product is defined.
  • The order of \(WR\) is (rows of \(W\)) \(\times\) (columns of \(R\)) \(=3\times 3\).

(\(3\times 1\) र \(1\times 3\) क्रमका मेट्रिक्स गुणन गर्दा बन्ने मेट्रिक्सको क्रम \(3\times 3\) हुन्छ ।)

Exercise 6.2 Multiplication of Matrices: Written Questions (लेख्ने प्रश्न)

Q.2 In the following cases, find whether the multiplication of matrices is possible and determine the product if possible:

  • a. \(\begin{bmatrix}5 & 4\end{bmatrix}\begin{bmatrix}1 \\ 3\end{bmatrix}\)
  • b. \(\begin{bmatrix}1 \\ 3\end{bmatrix}\begin{bmatrix}5 & 4\end{bmatrix}\)
  • c. \(\begin{bmatrix}3 & 2 & 1\end{bmatrix}\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\)
  • d. \(\begin{bmatrix}0 & 1 \\ 5 & -4 \\ 4 & 5\end{bmatrix}\begin{bmatrix}3 & 4 & 7 \\ 2 & -1 & 10\end{bmatrix}\)
  • e. \(\begin{bmatrix}-1 & 5 \\ 3 & 7\end{bmatrix}\begin{bmatrix}6 & 1 \\ 8 & 2\end{bmatrix}\)
  • f. \(\begin{bmatrix}1 & 4 \\ 2 & 3\end{bmatrix}\begin{bmatrix}-3 & 4 \\ 0 & 6 \\ 1 & 2\end{bmatrix}\)

(दिइएका अवस्थामा मेट्रिक्सहरूको गुणनफल सम्भव भए पत्ता लगाउनुहोस् 🙂

a. \(\begin{bmatrix}5 & 4\end{bmatrix}\begin{bmatrix}1 \\ 3\end{bmatrix}\)

Here, the order of the first matrix is \(1\times 2\) and the order of the second matrix is \(2\times 1\).

The number of columns of the first matrix (\(2\)) equals the number of rows of the second matrix (\(2\)), so the product is defined and its order is \(1\times 1\).

\[\begin{aligned}\text{Product} &= \begin{bmatrix}5 & 4\end{bmatrix}\begin{bmatrix}1 \\ 3\end{bmatrix} \\ &= \begin{bmatrix}5(1)+4(3)\end{bmatrix} \\ &= \begin{bmatrix}5+12\end{bmatrix} \\ &= \begin{bmatrix}17\end{bmatrix}\end{aligned}\]
\(\begin{bmatrix}17\end{bmatrix}\)

b. \(\begin{bmatrix}1 \\ 3\end{bmatrix}\begin{bmatrix}5 & 4\end{bmatrix}\)

Here, the order of the first matrix is \(2\times 1\) and the order of the second matrix is \(1\times 2\).

The number of columns of the first matrix (\(1\)) equals the number of rows of the second matrix (\(1\)), so the product is defined and its order is \(2\times 2\).

\[\begin{aligned}\text{Product} &= \begin{bmatrix}1 \\ 3\end{bmatrix}\begin{bmatrix}5 & 4\end{bmatrix} \\ &= \begin{bmatrix}1(5) & 1(4) \\ 3(5) & 3(4)\end{bmatrix} \\ &= \begin{bmatrix}5 & 4 \\ 15 & 12\end{bmatrix} \\ &= \begin{bmatrix}5 & 4 \\ 15 & 12\end{bmatrix}\end{aligned}\]
\(\begin{bmatrix}5 & 4 \\ 15 & 12\end{bmatrix}\)

c. \(\begin{bmatrix}3 & 2 & 1\end{bmatrix}\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix}\)

Here, the order of the first matrix is \(1\times 3\) and the order of the second matrix is \(3\times 1\).

The number of columns of the first matrix (\(3\)) equals the number of rows of the second matrix (\(3\)), so the product is defined and its order is \(1\times 1\).

\[\begin{aligned}\text{Product} &= \begin{bmatrix}3 & 2 & 1\end{bmatrix}\begin{bmatrix}-3 \\ 4 \\ 5\end{bmatrix} \\ &= \begin{bmatrix}3(-3)+2(4)+1(5)\end{bmatrix} \\ &= \begin{bmatrix}-9+8+5\end{bmatrix} \\ &= \begin{bmatrix}4\end{bmatrix}\end{aligned}\]
\(\begin{bmatrix}4\end{bmatrix}\)

d. \(\begin{bmatrix}0 & 1 \\ 5 & -4 \\ 4 & 5\end{bmatrix}\begin{bmatrix}3 & 4 & 7 \\ 2 & -1 & 10\end{bmatrix}\)

Here, the order of the first matrix is \(3\times 2\) and the order of the second matrix is \(2\times 3\).

The number of columns of the first matrix (\(2\)) equals the number of rows of the second matrix (\(2\)), so the product is defined and its order is \(3\times 3\).

\[\begin{aligned}\text{Product} &= \begin{bmatrix}0 & 1 \\ 5 & -4 \\ 4 & 5\end{bmatrix}\begin{bmatrix}3 & 4 & 7 \\ 2 & -1 & 10\end{bmatrix} \\ &= \begin{bmatrix}0(3)+1(2) & 0(4)+1(-1) & 0(7)+1(10) \\ 5(3)+(-4)(2) & 5(4)+(-4)(-1) & 5(7)+(-4)(10) \\ 4(3)+5(2) & 4(4)+5(-1) & 4(7)+5(10)\end{bmatrix} \\ &= \begin{bmatrix}0+2 & 0-1 & 0+10 \\ 15-8 & 20+4 & 35-40 \\ 12+10 & 16-5 & 28+50\end{bmatrix} \\ &= \begin{bmatrix}2 & -1 & 10 \\ 7 & 24 & -5 \\ 22 & 11 & 78\end{bmatrix}\end{aligned}\]
\(\begin{bmatrix}2 & -1 & 10 \\ 7 & 24 & -5 \\ 22 & 11 & 78\end{bmatrix}\)

e. \(\begin{bmatrix}-1 & 5 \\ 3 & 7\end{bmatrix}\begin{bmatrix}6 & 1 \\ 8 & 2\end{bmatrix}\)

Here, the order of the first matrix is \(2\times 2\) and the order of the second matrix is \(2\times 2\).

The number of columns of the first matrix (\(2\)) equals the number of rows of the second matrix (\(2\)), so the product is defined and its order is \(2\times 2\).

\[\begin{aligned}\text{Product} &= \begin{bmatrix}-1 & 5 \\ 3 & 7\end{bmatrix}\begin{bmatrix}6 & 1 \\ 8 & 2\end{bmatrix} \\ &= \begin{bmatrix}(-1)(6)+5(8) & (-1)(1)+5(2) \\ 3(6)+7(8) & 3(1)+7(2)\end{bmatrix} \\ &= \begin{bmatrix}-6+40 & -1+10 \\ 18+56 & 3+14\end{bmatrix} \\ &= \begin{bmatrix}34 & 9 \\ 74 & 17\end{bmatrix}\end{aligned}\]
\(\begin{bmatrix}34 & 9 \\ 74 & 17\end{bmatrix}\)

f. \(\begin{bmatrix}1 & 4 \\ 2 & 3\end{bmatrix}\begin{bmatrix}-3 & 4 \\ 0 & 6 \\ 1 & 2\end{bmatrix}\)

Here, the order of the first matrix is \(2\times 2\) and the order of the second matrix is \(3\times 2\).

The number of columns of the first matrix (\(2\)) is not equal to the number of rows of the second matrix (\(3\)).

Multiplication is not possible.

Q.3 If \(Q=\begin{bmatrix}3 & 6 \\ -2 & -4\end{bmatrix}\), find \(Q^2\).

(यदि \(Q=\begin{bmatrix}3 & 6 \\ -2 & -4\end{bmatrix}\) भए \(Q^2\) पत्ता लगाउनुहोस् ।)

Here, \(Q=\begin{bmatrix}3 & 6 \\ -2 & -4\end{bmatrix}\) and \(Q^2=Q\times Q\).

\[\begin{aligned}Q^2 &= \begin{bmatrix}3 & 6 \\ -2 & -4\end{bmatrix}\begin{bmatrix}3 & 6 \\ -2 & -4\end{bmatrix} \\ &= \begin{bmatrix}3(3)+6(-2) & 3(6)+6(-4) \\ (-2)(3)+(-4)(-2) & (-2)(6)+(-4)(-4)\end{bmatrix} \\ &= \begin{bmatrix}9-12 & 18-24 \\ -6+8 & -12+16\end{bmatrix} \\ &= \begin{bmatrix}-3 & -6 \\ 2 & 4\end{bmatrix}\end{aligned}\]
\(Q^2=\begin{bmatrix}-3 & -6 \\ 2 & 4\end{bmatrix}\)

Q.4
a. If \(M=\begin{bmatrix}-2 & 3 \\ -1 & 2\end{bmatrix}\) and \(N=\begin{bmatrix}4 & -3 \\ 5 & 0\end{bmatrix}\), find \(MN\) and \(NM\). (यदि \(M=\begin{bmatrix}-2 & 3 \\ -1 & 2\end{bmatrix}\) र \(N=\begin{bmatrix}4 & -3 \\ 5 & 0\end{bmatrix}\) भए \(MN\) र \(NM\) पत्ता लगाउनुहोस् ।)

Here, \(M=\begin{bmatrix}-2 & 3 \\ -1 & 2\end{bmatrix}\) and \(N=\begin{bmatrix}4 & -3 \\ 5 & 0\end{bmatrix}\).

Calculate \(MN\)

\[\begin{aligned}MN &= \begin{bmatrix}-2 & 3 \\ -1 & 2\end{bmatrix}\begin{bmatrix}4 & -3 \\ 5 & 0\end{bmatrix} \\ &= \begin{bmatrix}(-2)(4)+3(5) & (-2)(-3)+3(0) \\ (-1)(4)+2(5) & (-1)(-3)+2(0)\end{bmatrix} \\ &= \begin{bmatrix}-8+15 & 6+0 \\ -4+10 & 3+0\end{bmatrix} \\ &= \begin{bmatrix}7 & 6 \\ 6 & 3\end{bmatrix}\end{aligned}\]

Calculate \(NM\)

\[\begin{aligned}NM &= \begin{bmatrix}4 & -3 \\ 5 & 0\end{bmatrix}\begin{bmatrix}-2 & 3 \\ -1 & 2\end{bmatrix} \\ &= \begin{bmatrix}4(-2)+(-3)(-1) & 4(3)+(-3)(2) \\ 5(-2)+0(-1) & 5(3)+0(2)\end{bmatrix} \\ &= \begin{bmatrix}-8+3 & 12-6 \\ -10+0 & 15+0\end{bmatrix} \\ &= \begin{bmatrix}-5 & 6 \\ -10 & 15\end{bmatrix}\end{aligned}\]
\(MN=\begin{bmatrix}7 & 6 \\ 6 & 3\end{bmatrix}\) · \(NM=\begin{bmatrix}-5 & 6 \\ -10 & 15\end{bmatrix}\)

b. If \(C=\begin{bmatrix}3 & 5 \\ 0 & 1\end{bmatrix}\), \(D=\begin{bmatrix}-2 & 4 \\ -1 & 3\end{bmatrix}\) and \(E=\begin{bmatrix}2 & -3 \\ 6 & 4\end{bmatrix}\), find \(C(D+E)\). (यदि \(C=\begin{bmatrix}3 & 5 \\ 0 & 1\end{bmatrix}\), \(D=\begin{bmatrix}-2 & 4 \\ -1 & 3\end{bmatrix}\) र \(E=\begin{bmatrix}2 & -3 \\ 6 & 4\end{bmatrix}\) भए \(C(D+E)\) पत्ता लगाउनुहोस् ।)

Here, \(C=\begin{bmatrix}3 & 5 \\ 0 & 1\end{bmatrix}\), \(D=\begin{bmatrix}-2 & 4 \\ -1 & 3\end{bmatrix}\) and \(E=\begin{bmatrix}2 & -3 \\ 6 & 4\end{bmatrix}\).

Calculate \(D+E\)

\[\begin{aligned}D+E &= \begin{bmatrix}-2 & 4 \\ -1 & 3\end{bmatrix}+\begin{bmatrix}2 & -3 \\ 6 & 4\end{bmatrix} \\ &= \begin{bmatrix}(-2)+2 & 4+(-3) \\ (-1)+6 & 3+4\end{bmatrix} \\ &= \begin{bmatrix}0 & 1 \\ 5 & 7\end{bmatrix}\end{aligned}\]

Calculate \(C(D+E)\)

\[\begin{aligned}C(D+E) &= \begin{bmatrix}3 & 5 \\ 0 & 1\end{bmatrix}\begin{bmatrix}0 & 1 \\ 5 & 7\end{bmatrix} \\ &= \begin{bmatrix}3(0)+5(5) & 3(1)+5(7) \\ 0(0)+1(5) & 0(1)+1(7)\end{bmatrix} \\ &= \begin{bmatrix}0+25 & 3+35 \\ 0+5 & 0+7\end{bmatrix} \\ &= \begin{bmatrix}25 & 38 \\ 5 & 7\end{bmatrix}\end{aligned}\]
\(C(D+E)=\begin{bmatrix}25 & 38 \\ 5 & 7\end{bmatrix}\)

Q.5
a. If \(A=\begin{bmatrix}1 & -1 \\ -1 & 1\end{bmatrix}\), prove that: \(A^2=2A\). (यदि \(A=\begin{bmatrix}1 & -1 \\ -1 & 1\end{bmatrix}\) भए \(A^2=2A\) हुन्छ भनी प्रमाणित गर्नुहोस् ।)

Here, \(A=\begin{bmatrix}1 & -1 \\ -1 & 1\end{bmatrix}\).

L.H.S.:

\[\begin{aligned}A^2 &= \begin{bmatrix}1 & -1 \\ -1 & 1\end{bmatrix}\begin{bmatrix}1 & -1 \\ -1 & 1\end{bmatrix} \\ &= \begin{bmatrix}1(1)+(-1)(-1) & 1(-1)+(-1)(1) \\ (-1)(1)+1(-1) & (-1)(-1)+1(1)\end{bmatrix} \\ &= \begin{bmatrix}1+1 & -1-1 \\ -1-1 & 1+1\end{bmatrix} \\ &= \begin{bmatrix}2 & -2 \\ -2 & 2\end{bmatrix}\end{aligned}\tag{i}\]

R.H.S.:

\[\begin{aligned}2A &= 2\begin{bmatrix}1 & -1 \\ -1 & 1\end{bmatrix} \\ &= \begin{bmatrix}2(1) & 2((-1)) \\ 2((-1)) & 2(1)\end{bmatrix} \\ &= \begin{bmatrix}2 & -2 \\ -2 & 2\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S.,

\(A^2=2A\) is proved.
b. If \(X=\begin{bmatrix}1 & -1 \\ 3 & -3\end{bmatrix}\) and \(Y=\begin{bmatrix}2 & -5 \\ 2 & -5\end{bmatrix}\), prove that \(XY\) is a zero matrix. (यदि \(X=\begin{bmatrix}1 & -1 \\ 3 & -3\end{bmatrix}\) र \(Y=\begin{bmatrix}2 & -5 \\ 2 & -5\end{bmatrix}\) भए \(XY\) शून्य मेट्रिक्स हो भनी प्रमाणित गर्नुहोस् ।)

Here, \(X=\begin{bmatrix}1 & -1 \\ 3 & -3\end{bmatrix}\) and \(Y=\begin{bmatrix}2 & -5 \\ 2 & -5\end{bmatrix}\).

\[\begin{aligned}XY &= \begin{bmatrix}1 & -1 \\ 3 & -3\end{bmatrix}\begin{bmatrix}2 & -5 \\ 2 & -5\end{bmatrix} \\ &= \begin{bmatrix}1(2)+(-1)(2) & 1(-5)+(-1)(-5) \\ 3(2)+(-3)(2) & 3(-5)+(-3)(-5)\end{bmatrix} \\ &= \begin{bmatrix}2-2 & -5+5 \\ 6-6 & -15+15\end{bmatrix} \\ &= \begin{bmatrix}0 & 0 \\ 0 & 0\end{bmatrix}\end{aligned}\]

A matrix whose elements are all zero is a zero matrix \(O\).

Since \(XY=\begin{bmatrix}0 & 0 \\ 0 & 0\end{bmatrix}=O\), \(XY\) is a zero matrix.

c. If \(R=\begin{bmatrix}2 & -3 \\ 1 & -2\end{bmatrix}\), prove that: \(R^2=I\), where \(I\) is a \(2\times 2\) identity matrix. (यदि \(R=\begin{bmatrix}2 & -3 \\ 1 & -2\end{bmatrix}\) भए \(R^2=I\) हुन्छ भनी प्रमाणित गर्नुहोस्, जहाँ \(I\) क्रम \(2\times 2\) को एकात्मक मेट्रिक्स हो ।)

Here, \(R=\begin{bmatrix}2 & -3 \\ 1 & -2\end{bmatrix}\).

\[\begin{aligned}R^2 &= \begin{bmatrix}2 & -3 \\ 1 & -2\end{bmatrix}\begin{bmatrix}2 & -3 \\ 1 & -2\end{bmatrix} \\ &= \begin{bmatrix}2(2)+(-3)(1) & 2(-3)+(-3)(-2) \\ 1(2)+(-2)(1) & 1(-3)+(-2)(-2)\end{bmatrix} \\ &= \begin{bmatrix}4-3 & -6+6 \\ 2-2 & -3+4\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]
Since \(R^2=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}=I\), \(R^2=I\) is proved.

Q.6 If \(A=\begin{bmatrix}2 & 1 \\ 4 & -1\end{bmatrix}\), prove that \(A^2-A+6I=O\), where \(I\) and \(O\) are the identity matrix and the zero matrix of order \(2\times 2\).

(यदि \(A=\begin{bmatrix}2 & 1 \\ 4 & -1\end{bmatrix}\) भए \(A^2-A+6I=O\) हुन्छ भनी प्रमाणित गर्नुहोस्, जहाँ \(I\) र \(O\) क्रम \(2\times 2\) का क्रमशः एकात्मक र शून्य मेट्रिक्स हुन् ।)

Note on the printed question

For this matrix, \(A^2-A+6I=\begin{bmatrix}12 & 0 \\ 0 & 12\end{bmatrix}\neq O\), so the identity as printed is not true. The identity that holds is \(A^2-A-6I=O\) (the sign of \(6I\) appears to be misprinted). The full verification is given below.

Here, \(A=\begin{bmatrix}2 & 1 \\ 4 & -1\end{bmatrix}\).

Calculate \(A^2\)

\[\begin{aligned}A^2 &= \begin{bmatrix}2 & 1 \\ 4 & -1\end{bmatrix}\begin{bmatrix}2 & 1 \\ 4 & -1\end{bmatrix} \\ &= \begin{bmatrix}2(2)+1(4) & 2(1)+1(-1) \\ 4(2)+(-1)(4) & 4(1)+(-1)(-1)\end{bmatrix} \\ &= \begin{bmatrix}4+4 & 2-1 \\ 8-4 & 4+1\end{bmatrix} \\ &= \begin{bmatrix}8 & 1 \\ 4 & 5\end{bmatrix}\end{aligned}\]

Calculate \(A^2-A-6I\)

\[\begin{aligned}A^2-A-6I &= \begin{bmatrix}8 & 1 \\ 4 & 5\end{bmatrix}-\begin{bmatrix}2 & 1 \\ 4 & -1\end{bmatrix}-6\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix} \\ &= \begin{bmatrix}8-2-6 & 1-1-0 \\ 4-4-0 & 5-(-1)-6\end{bmatrix} \\ &= \begin{bmatrix}0 & 0 \\ 0 & 0\end{bmatrix}\end{aligned}\]
Thus, \(A^2-A-6I=O\) is proved.

Q.7 If \(U=\begin{bmatrix}3&0\\0&4\end{bmatrix}\) and \(V=\begin{bmatrix}p&q\\0&r\end{bmatrix}\) are two matrices and \(UV=U+V\), find the values of \(p\), \(q\) and \(r\).

(यदि \(U=\begin{bmatrix}3&0\\0&4\end{bmatrix}\) र \(V=\begin{bmatrix}p&q\\0&r\end{bmatrix}\) भए \(UV=U+V\) हुँदा \(p\), \(q\) र \(r\) को मान पत्ता लगाउनुहोस् ।)

Here, \(UV=U+V\).

\[\begin{aligned}UV &= \begin{bmatrix}3&0\\0&4\end{bmatrix}\begin{bmatrix}p&q\\0&r\end{bmatrix} \\ &= \begin{bmatrix}3(p)+0(0)&3(q)+0(r)\\0(p)+4(0)&0(q)+4(r)\end{bmatrix} \\ &= \begin{bmatrix}3p&3q\\0&4r\end{bmatrix}\end{aligned}\]\[\begin{aligned}U+V &= \begin{bmatrix}3&0\\0&4\end{bmatrix}+\begin{bmatrix}p&q\\0&r\end{bmatrix} \\ &= \begin{bmatrix}3+p&q\\0&4+r\end{bmatrix}\end{aligned}\]

Equating the corresponding elements of \(UV=U+V\):

\[\begin{aligned}& 3p=3+p \\ &\implies 2p=3 \\ &\implies p=\frac{3}{2}\end{aligned}\]\[3q=q \implies 2q=0 \implies q=0\]\[\begin{aligned}& 4r=4+r \\ &\implies 3r=4 \\ &\implies r=\frac{4}{3}\end{aligned}\]
\(p=\dfrac{3}{2},\ q=0,\ r=\dfrac{4}{3}\)

Q.8 If \(X=\begin{bmatrix}6 & 3 \\ -2 & 0\end{bmatrix}\) and \(Y=\begin{bmatrix}2 & 5 \\ 1 & -4\end{bmatrix}\), prove that \((XY)^T=Y^T\cdot X^T\).

(यदि \(X=\begin{bmatrix}6 & 3 \\ -2 & 0\end{bmatrix}\) र \(Y=\begin{bmatrix}2 & 5 \\ 1 & -4\end{bmatrix}\) भए \((XY)^T=Y^T\cdot X^T\) हुन्छ भनी प्रमाणित गर्नुहोस् ।)

Here, \(X=\begin{bmatrix}6 & 3 \\ -2 & 0\end{bmatrix}\) and \(Y=\begin{bmatrix}2 & 5 \\ 1 & -4\end{bmatrix}\).

L.H.S.: first find \(XY\).

\[\begin{aligned}XY &= \begin{bmatrix}6 & 3 \\ -2 & 0\end{bmatrix}\begin{bmatrix}2 & 5 \\ 1 & -4\end{bmatrix} \\ &= \begin{bmatrix}6(2)+3(1) & 6(5)+3(-4) \\ (-2)(2)+0(1) & (-2)(5)+0(-4)\end{bmatrix} \\ &= \begin{bmatrix}12+3 & 30-12 \\ -4+0 & -10+0\end{bmatrix} \\ &= \begin{bmatrix}15 & 18 \\ -4 & -10\end{bmatrix}\end{aligned}\]\[(XY)^T=\begin{bmatrix}15 & -4 \\ 18 & -10\end{bmatrix}\tag{i}\]

R.H.S.: \(Y^T=\begin{bmatrix}2 & 1 \\ 5 & -4\end{bmatrix}\) and \(X^T=\begin{bmatrix}6 & -2 \\ 3 & 0\end{bmatrix}\).

\[\begin{aligned}Y^T X^T &= \begin{bmatrix}2 & 1 \\ 5 & -4\end{bmatrix}\begin{bmatrix}6 & -2 \\ 3 & 0\end{bmatrix} \\ &= \begin{bmatrix}2(6)+1(3) & 2(-2)+1(0) \\ 5(6)+(-4)(3) & 5(-2)+(-4)(0)\end{bmatrix} \\ &= \begin{bmatrix}12+3 & -4+0 \\ 30-12 & -10+0\end{bmatrix} \\ &= \begin{bmatrix}15 & -4 \\ 18 & -10\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S.,

\((XY)^T=Y^T\cdot X^T\) is proved.

Q.9 If \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\), \(B=\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\), \(C=\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix}\) and \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\), then,

  • a. Prove that \(AB\neq BA\).
  • b. Prove that \(A(BC)=(AB)C\).
  • c. Prove that \(A(B+C)=AB+AC\).
  • d. Prove that \(IA=AI=A\).
  • e. Prove that \((AB)^T=B^TA^T\).

(यदि \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\), \(B=\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\), \(C=\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix}\) र \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\) भए निम्नलिखित प्रमाणित गर्नुहोस् 🙂

a. Prove that \(AB\neq BA\).

Here, \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\).

\[\begin{aligned}AB &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix} \\ &= \begin{bmatrix}0(3)+2(4) & 0(5)+2(6) \\ 1(3)+3(4) & 1(5)+3(6)\end{bmatrix} \\ &= \begin{bmatrix}0+8 & 0+12 \\ 3+12 & 5+18\end{bmatrix} \\ &= \begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}\end{aligned}\]\[\begin{aligned}BA &= \begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix} \\ &= \begin{bmatrix}3(0)+5(1) & 3(2)+5(3) \\ 4(0)+6(1) & 4(2)+6(3)\end{bmatrix} \\ &= \begin{bmatrix}0+5 & 6+15 \\ 0+6 & 8+18\end{bmatrix} \\ &= \begin{bmatrix}5 & 21 \\ 6 & 26\end{bmatrix}\end{aligned}\]
Since \(\begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}\neq \begin{bmatrix}5 & 21 \\ 6 & 26\end{bmatrix}\), \(AB\neq BA\) is proved.

b. Prove that \(A(BC)=(AB)C\).

Here, \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\), \(B=\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\), \(C=\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix}\) and \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\).

First, \(BC\):

\[\begin{aligned}BC &= \begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix} \\ &= \begin{bmatrix}3(6)+5(7) & 3(8)+5(9) \\ 4(6)+6(7) & 4(8)+6(9)\end{bmatrix} \\ &= \begin{bmatrix}18+35 & 24+45 \\ 24+42 & 32+54\end{bmatrix} \\ &= \begin{bmatrix}53 & 69 \\ 66 & 86\end{bmatrix}\end{aligned}\]

L.H.S.:

\[\begin{aligned}A(BC) &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\begin{bmatrix}53 & 69 \\ 66 & 86\end{bmatrix} \\ &= \begin{bmatrix}0(53)+2(66) & 0(69)+2(86) \\ 1(53)+3(66) & 1(69)+3(86)\end{bmatrix} \\ &= \begin{bmatrix}0+132 & 0+172 \\ 53+198 & 69+258\end{bmatrix} \\ &= \begin{bmatrix}132 & 172 \\ 251 & 327\end{bmatrix}\end{aligned}\tag{i}\]

R.H.S. (using \(AB=\begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}\)):

\[\begin{aligned}(AB)C &= \begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix} \\ &= \begin{bmatrix}8(6)+12(7) & 8(8)+12(9) \\ 15(6)+23(7) & 15(8)+23(9)\end{bmatrix} \\ &= \begin{bmatrix}48+84 & 64+108 \\ 90+161 & 120+207\end{bmatrix} \\ &= \begin{bmatrix}132 & 172 \\ 251 & 327\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S.,

\(A(BC)=(AB)C\) is proved.

c. Prove that \(A(B+C)=AB+AC\).

Here, \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\), \(B=\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\), \(C=\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix}\) and \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\).

First, \(B+C\):

\[\begin{aligned}B+C &= \begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}+\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix} \\ &= \begin{bmatrix}3+6 & 5+8 \\ 4+7 & 6+9\end{bmatrix} \\ &= \begin{bmatrix}9 & 13 \\ 11 & 15\end{bmatrix}\end{aligned}\]

L.H.S.:

\[\begin{aligned}A(B+C) &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\begin{bmatrix}9 & 13 \\ 11 & 15\end{bmatrix} \\ &= \begin{bmatrix}0(9)+2(11) & 0(13)+2(15) \\ 1(9)+3(11) & 1(13)+3(15)\end{bmatrix} \\ &= \begin{bmatrix}0+22 & 0+30 \\ 9+33 & 13+45\end{bmatrix} \\ &= \begin{bmatrix}22 & 30 \\ 42 & 58\end{bmatrix}\end{aligned}\tag{i}\]

R.H.S.: \(AB=\begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}\) and

\[\begin{aligned}AC &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\begin{bmatrix}6 & 8 \\ 7 & 9\end{bmatrix} \\ &= \begin{bmatrix}0(6)+2(7) & 0(8)+2(9) \\ 1(6)+3(7) & 1(8)+3(9)\end{bmatrix} \\ &= \begin{bmatrix}0+14 & 0+18 \\ 6+21 & 8+27\end{bmatrix} \\ &= \begin{bmatrix}14 & 18 \\ 27 & 35\end{bmatrix}\end{aligned}\]\[\begin{aligned}AB+AC &= \begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}+\begin{bmatrix}14 & 18 \\ 27 & 35\end{bmatrix} \\ &= \begin{bmatrix}8+14 & 12+18 \\ 15+27 & 23+35\end{bmatrix} \\ &= \begin{bmatrix}22 & 30 \\ 42 & 58\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S.,

\(A(B+C)=AB+AC\) is proved.

d. Prove that \(IA=AI=A\).

Here, \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\) and \(I=\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\).

\[\begin{aligned}IA &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix} \\ &= \begin{bmatrix}1(0)+0(1) & 1(2)+0(3) \\ 0(0)+1(1) & 0(2)+1(3)\end{bmatrix} \\ &= \begin{bmatrix}0+0 & 2+0 \\ 0+1 & 0+3\end{bmatrix} \\ &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\end{aligned}\]\[\begin{aligned}AI &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix} \\ &= \begin{bmatrix}0(1)+2(0) & 0(0)+2(1) \\ 1(1)+3(0) & 1(0)+3(1)\end{bmatrix} \\ &= \begin{bmatrix}0+0 & 0+2 \\ 1+0 & 0+3\end{bmatrix} \\ &= \begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\end{aligned}\]
Since \(IA=AI=A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\), \(IA=AI=A\) is proved.

e. Prove that \((AB)^T=B^TA^T\).

Here, \(A=\begin{bmatrix}0 & 2 \\ 1 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}3 & 5 \\ 4 & 6\end{bmatrix}\).

L.H.S.: \(AB=\begin{bmatrix}8 & 12 \\ 15 & 23\end{bmatrix}\), so

\[(AB)^T=\begin{bmatrix}8 & 15 \\ 12 & 23\end{bmatrix}\tag{i}\]

R.H.S.: \(B^T=\begin{bmatrix}3 & 4 \\ 5 & 6\end{bmatrix}\) and \(A^T=\begin{bmatrix}0 & 1 \\ 2 & 3\end{bmatrix}\).

\[\begin{aligned}B^T A^T &= \begin{bmatrix}3 & 4 \\ 5 & 6\end{bmatrix}\begin{bmatrix}0 & 1 \\ 2 & 3\end{bmatrix} \\ &= \begin{bmatrix}3(0)+4(2) & 3(1)+4(3) \\ 5(0)+6(2) & 5(1)+6(3)\end{bmatrix} \\ &= \begin{bmatrix}0+8 & 3+12 \\ 0+12 & 5+18\end{bmatrix} \\ &= \begin{bmatrix}8 & 15 \\ 12 & 23\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S.,

\((AB)^T=B^T\cdot A^T\) is proved.
Answer
1. A. a   B. b   C. c   D. d   E. a   F. d
2. a. \([17]\)   b. \(\begin{bmatrix}5 & 4 \\ 15 & 12\end{bmatrix}\)   c. \([4]\)   d. \(\begin{bmatrix}2 & -1 & 10 \\ 7 & 24 & -5 \\ 22 & 11 & 78\end{bmatrix}\)   e. \(\begin{bmatrix}34 & 9 \\ 74 & 17\end{bmatrix}\)   f. Not possible
3. \(\begin{bmatrix}-3 & -6 \\ 2 & 4\end{bmatrix}\)   4. a. \(MN=\begin{bmatrix}7 & 6 \\ 6 & 3\end{bmatrix}\), \(NM=\begin{bmatrix}-5 & 6 \\ -10 & 15\end{bmatrix}\)   b. \(\begin{bmatrix}25 & 38 \\ 5 & 7\end{bmatrix}\)
5. Proved   6. Proved (see note)   7. \(p=\frac{3}{2},\ q=0,\ r=\frac{4}{3}\)   8. Proved   9. Proved

4. Exercise 6.3 Determinant of a Matrix: Class 10 Optional Mathematics Matrix and Determinant

Exercise 6.3 Determinant of a Matrix: Multiple Choice Questions (बहुवैकल्पिक प्रश्न)

Q.1 Tick (✓) the correct option for the given questions:

(दिइएका प्रश्नहरूको उपयुक्त विकल्पमा ठिक चिह्न (✓) लगाउनुहोस् 🙂

A. If the matrix \(A=\begin{bmatrix}a & b \\ c & d\end{bmatrix}\), then what is the value of \(|A|\) among the following? (मेट्रिक्स \(A=\begin{bmatrix}a & b \\ c & d\end{bmatrix}\) भए \(|A|\) को मान तलका मध्ये कुन हो ?)

  • a) \(bc-ad\)
  • b) \(ad-bc\)
  • c) \(ac-bd\)
  • d) \(bd-ac\)

Correct Answer: b) \(ad-bc\)

Solution:

  • For a \(2\times 2\) matrix, the determinant is the product of the main diagonal elements minus the product of the secondary diagonal elements.
\[|A|=(a\times d)-(b\times c)=ad-bc\]

(\(2\times 2\) क्रमको मेट्रिक्सको डिटरमिनान्ट \(|A|=ad-bc\) हुन्छ ।)


B. If the matrix \(A=[-5]\), then what is the value of \(|A|\) among the following? (मेट्रिक्स \(A=[-5]\) भए \(|A|\) को मान तलका मध्ये कुन हो ?)

  • a) \(5\)
  • b) \(\frac{1}{5}\)
  • c) \(-5\)
  • d) \(5^{-1}\)

Correct Answer: c) \(-5\)

Solution:

  • The determinant of a \(1\times 1\) matrix \([a]\) is the element itself, that is \(|A|=a\). It is not an absolute value.
  • Therefore \(|A|=-5\).

(\(1\times 1\) क्रमको मेट्रिक्सको डिटरमिनान्ट सोही सङ्ख्या हुन्छ, अर्थात् \(|A|=-5\) ।)


C. If the matrix \(A=\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\), then what is the value of \(|A|\) among the following? (मेट्रिक्स \(A=\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\) भए \(|A|\) को मान तलका मध्ये कुन हो ?)

  • a) \(-12\)
  • b) \(-5\)
  • c) \(5\)
  • d) \(10\)

Correct Answer: c) \(5\)

Solution:

  • Here,
\[\begin{aligned}|A| &= \begin{vmatrix}2 & 3 \\ 1 & 4\end{vmatrix} \\ &= (2\times 4)-(3\times 1) \\ &= 8-3 \\ &= 5\end{aligned}\]

(\(|A|=(2\times 4)-(3\times 1)=8-3=5\) हुन्छ ।)


D. If \(\begin{vmatrix}2&x\\1&x\end{vmatrix}=0\), then what is the value of \(x\)? (\(\begin{vmatrix}2&x\\1&x\end{vmatrix}=0\) भए \(x\) को मान कति हुन्छ ?)

  • a) \(2\)
  • b) \(1\)
  • c) \(-2\)
  • d) \(0\)

Correct Answer: d) \(0\)

Solution:

  • Expand the determinant.
\[\begin{aligned}& (2\times x)-(x\times 1)=0 \\ &\implies 2x-x=0 \\ &\implies x=0\end{aligned}\]

(डिटरमिनान्ट फुकुवा गर्दा \(2x-x=0\implies x=0\) प्राप्त हुन्छ ।)

Exercise 6.3 Determinant of a Matrix: Written Questions (लेख्ने प्रश्न)

Q.2 Find the value of the following determinants:

  • a. \(|2|\)
  • b. \(|-7|\)
  • c. \(\begin{vmatrix}2 & 3 \\ 1 & 4\end{vmatrix}\)
  • d. \(\begin{vmatrix}\sin A & -\cos A \\ \cos A & \sin A\end{vmatrix}\)
  • e. \(\begin{vmatrix}x+y & x-y \\ x-y & x+y\end{vmatrix}\)
  • f. \(\begin{vmatrix}x+y & x-y \\ x+y & x-y\end{vmatrix}\)
  • g. \(\begin{vmatrix}3 & -4 \\ -3 & 5\end{vmatrix}\)
  • h. \(\begin{vmatrix}x+y & x-y \\ x^2+xy+y^2 & x^2-xy+y^2\end{vmatrix}\)

(दिइएका डिटरमिनान्टको मान पत्ता लगाउनुहोस् 🙂

a. \(|2|\)

Here, the determinant is of order \(1\times 1\).

\[|2|=2\]
\(|2|=2\)

b. \(|-7|\)

Here, the determinant is of order \(1\times 1\), so its value is the element itself (it is not an absolute value).

\[|-7|=-7\]
\(|-7|=-7\)

c. \(\begin{vmatrix}2 & 3 \\ 1 & 4\end{vmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}2 & 3 \\ 1 & 4\end{vmatrix} &= (2\times 4)-(3\times 1) \\ &= 8-3 \\ &= 5\end{aligned}\]
The value is \(5\).

d. \(\begin{vmatrix}\sin A & -\cos A \\ \cos A & \sin A\end{vmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}\sin A&-\cos A\\\cos A&\sin A\end{vmatrix} &= (\sin A\cdot\sin A)-(-\cos A\cdot\cos A) \\ &= \sin^2A+\cos^2A \\ &= 1\end{aligned}\]
The value is \(1\).

e. \(\begin{vmatrix}x+y & x-y \\ x-y & x+y\end{vmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}x+y&x-y\\x-y&x+y\end{vmatrix} &= (x+y)^2-(x-y)^2 \\ &= (x^2+2xy+y^2)-(x^2-2xy+y^2) \\ &= 4xy\end{aligned}\]
The value is \(4xy\).

f. \(\begin{vmatrix}x+y & x-y \\ x+y & x-y\end{vmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}x+y&x-y\\x+y&x-y\end{vmatrix} &= (x+y)(x-y)-(x-y)(x+y) \\ &= 0\end{aligned}\]
The value is \(0\).

g. \(\begin{vmatrix}3 & -4 \\ -3 & 5\end{vmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}3 & -4 \\ -3 & 5\end{vmatrix} &= (3\times 5)-((-4)\times (-3)) \\ &= 15-12 \\ &= 3\end{aligned}\]
The value is \(3\).

h. \(\begin{vmatrix}x+y & x-y \\ x^2+xy+y^2 & x^2-xy+y^2\end{vmatrix}\)

Here,

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

Using \(x^3+y^3=(x+y)(x^2-xy+y^2)\) and \(x^3-y^3=(x-y)(x^2+xy+y^2)\):

\[\begin{aligned}(x^3+y^3)-(x^3-y^3) &= x^3+y^3-x^3+y^3 \\ &= 2y^3\end{aligned}\]
The value is \(2y^3\).

Note on the printed answer

The answer key of the textbook prints \(2y^2\). Expanding the determinant as shown gives \(2y^3\).


Q.3 Find the value of the determinants of the following matrices:

  • a. \(\begin{bmatrix}10\end{bmatrix}\)
  • b. \(\begin{bmatrix}-8\end{bmatrix}\)
  • c. \(\begin{bmatrix}x & y \\ y & x\end{bmatrix}\)
  • d. \(\begin{bmatrix}1 & -3 \\ 2 & 4\end{bmatrix}\)
  • e. \(\begin{bmatrix}10 & 5 \\ 4 & 2\end{bmatrix}\)
  • f. \(\begin{bmatrix}-7 & 11 \\ 2 & -4\end{bmatrix}\)

(दिइएका मेट्रिक्सको डिटरमिनान्टको मान पत्ता लगाउनुहोस् 🙂

a. \(\begin{bmatrix}10\end{bmatrix}\)

Here, the matrix is of order \(1\times 1\).

\[|[10]|=10\]
\(10\)

b. \(\begin{bmatrix}-8\end{bmatrix}\)

Here, the matrix is of order \(1\times 1\).

\[|[-8]|=-8\]
\(-8\)

c. \(\begin{bmatrix}x & y \\ y & x\end{bmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}x&y\\y&x\end{vmatrix} &= (x\cdot x)-(y\cdot y) \\ &= x^2-y^2\end{aligned}\]
\(x^2-y^2\)

d. \(\begin{bmatrix}1 & -3 \\ 2 & 4\end{bmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}1 & -3 \\ 2 & 4\end{vmatrix} &= (1\times 4)-((-3)\times 2) \\ &= 4-(-6) \\ &= 10\end{aligned}\]
\(10\)

e. \(\begin{bmatrix}10 & 5 \\ 4 & 2\end{bmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}10 & 5 \\ 4 & 2\end{vmatrix} &= (10\times 2)-(5\times 4) \\ &= 20-20 \\ &= 0\end{aligned}\]
\(0\)

f. \(\begin{bmatrix}-7 & 11 \\ 2 & -4\end{bmatrix}\)

Here,

\[\begin{aligned}\begin{vmatrix}-7 & 11 \\ 2 & -4\end{vmatrix} &= ((-7)\times (-4))-(11\times 2) \\ &= 28-22 \\ &= 6\end{aligned}\]
\(6\)

Q.4 Find the value of \(x\) in the following cases:

  • a. \(\begin{vmatrix}3 & x \\ 2 & 8\end{vmatrix}=20\)
  • b. \(\begin{vmatrix}5 & -2 \\ 2x & -3\end{vmatrix}=1\)
  • c. \(\begin{vmatrix}3x & 2 \\ -4 & 3\end{vmatrix}=8\)
  • d. \(\begin{vmatrix}x & -2x \\ 3x & 4x\end{vmatrix}=100\)

(दिइएको अवस्थामा \(x\) को मान पत्ता लगाउनुहोस् 🙂

a. \(\begin{vmatrix}3 & x \\ 2 & 8\end{vmatrix}=20\)

Here, \(\begin{vmatrix}3&x\\2&8\end{vmatrix}=20\).

\[\begin{aligned}& \begin{vmatrix}3&x\\2&8\end{vmatrix}=20 \\ &\implies (3\times 8)-(2\times x)=20 \\ &\implies 24-2x=20 \\ &\implies 2x=4 \\ &\implies x=2\end{aligned}\]
\(x=2\)

b. \(\begin{vmatrix}5 & -2 \\ 2x & -3\end{vmatrix}=1\)

Here, \(\begin{vmatrix}5&-2\\2x&-3\end{vmatrix}=1\).

\[\begin{aligned}& \begin{vmatrix}5&-2\\2x&-3\end{vmatrix}=1 \\ &\implies 5(-3)-(-2)(2x)=1 \\ &\implies -15+4x=1 \\ &\implies 4x=16 \\ &\implies x=4\end{aligned}\]
\(x=4\)

c. \(\begin{vmatrix}3x & 2 \\ -4 & 3\end{vmatrix}=8\)

Here, \(\begin{vmatrix}3x&2\\-4&3\end{vmatrix}=8\).

\[\begin{aligned}& \begin{vmatrix}3x&2\\-4&3\end{vmatrix}=8 \\ &\implies 3x(3)-2(-4)=8 \\ &\implies 9x+8=8 \\ &\implies 9x=0 \\ &\implies x=0\end{aligned}\]
\(x=0\)

d. \(\begin{vmatrix}x & -2x \\ 3x & 4x\end{vmatrix}=100\)

Here, \(\begin{vmatrix}x&-2x\\3x&4x\end{vmatrix}=100\).

\[\begin{aligned}& \begin{vmatrix}x&-2x\\3x&4x\end{vmatrix}=100 \\ &\implies x(4x)-(-2x)(3x)=100 \\ &\implies 4x^2+6x^2=100 \\ &\implies x^2=10 \\ &\implies x=\pm\sqrt{10}\end{aligned}\]
\(x=\pm\sqrt{10}\)

Q.5 If \(A=\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix}\), find the determinants of the following matrices:

  • a. \(A-3B\)
  • b. \(2A+B\)
  • c. \(3A-2B\)
  • d. \(A+2B\)

(यदि \(A=\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}\) र \(B=\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix}\) भए दिइएका मेट्रिक्सहरूको डिटरमिनान्ट पत्ता लगाउनुहोस् ।)

a. \(A-3B\)

Here, \(A=\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix}\).

\[\begin{aligned}A-3B &= \begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}-3\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix} \\ &= \begin{bmatrix}2-3(1) & 4-3(-5) \\ 3-3(6) & 2-3(2)\end{bmatrix} \\ &= \begin{bmatrix}-1 & 19 \\ -15 & -4\end{bmatrix}\end{aligned}\]\[\begin{aligned}|A-3B| &= \begin{vmatrix}-1 & 19 \\ -15 & -4\end{vmatrix} \\ &= ((-1)\times (-4))-(19\times (-15)) \\ &= 4-(-285) \\ &= 289\end{aligned}\]
\(|A-3B|=289\)

b. \(2A+B\)

Here, \(A=\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix}\).

\[\begin{aligned}2A+B &= 2\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}+\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix} \\ &= \begin{bmatrix}2(2)+1 & 2(4)+(-5) \\ 2(3)+6 & 2(2)+2\end{bmatrix} \\ &= \begin{bmatrix}5 & 3 \\ 12 & 6\end{bmatrix}\end{aligned}\]\[\begin{aligned}|2A+B| &= \begin{vmatrix}5 & 3 \\ 12 & 6\end{vmatrix} \\ &= (5\times 6)-(3\times 12) \\ &= 30-36 \\ &= -6\end{aligned}\]
\(|2A+B|=-6\)

c. \(3A-2B\)

Here, \(A=\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix}\).

\[\begin{aligned}3A-2B &= 3\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}-2\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix} \\ &= \begin{bmatrix}3(2)-2(1) & 3(4)-2(-5) \\ 3(3)-2(6) & 3(2)-2(2)\end{bmatrix} \\ &= \begin{bmatrix}4 & 22 \\ -3 & 2\end{bmatrix}\end{aligned}\]\[\begin{aligned}|3A-2B| &= \begin{vmatrix}4 & 22 \\ -3 & 2\end{vmatrix} \\ &= (4\times 2)-(22\times (-3)) \\ &= 8-(-66) \\ &= 74\end{aligned}\]
\(|3A-2B|=74\)

d. \(A+2B\)

Here, \(A=\begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix}\).

\[\begin{aligned}A+2B &= \begin{bmatrix}2 & 4 \\ 3 & 2\end{bmatrix}+2\begin{bmatrix}1 & -5 \\ 6 & 2\end{bmatrix} \\ &= \begin{bmatrix}2+2(1) & 4+2(-5) \\ 3+2(6) & 2+2(2)\end{bmatrix} \\ &= \begin{bmatrix}4 & -6 \\ 15 & 6\end{bmatrix}\end{aligned}\]\[\begin{aligned}|A+2B| &= \begin{vmatrix}4 & -6 \\ 15 & 6\end{vmatrix} \\ &= (4\times 6)-((-6)\times 15) \\ &= 24-(-90) \\ &= 114\end{aligned}\]
\(|A+2B|=114\)

Q.6 Prove that:

  • a. \(\begin{vmatrix}x^2 & y^2 \\ y & x\end{vmatrix}=(x-y)(x^2+xy+y^2)\)
  • b. \(\begin{vmatrix}x+y & y+z \\ z-y & x-y\end{vmatrix}=x^2-z^2\)
  • c. \(\begin{vmatrix}a-1 & a^2-a+1 \\ a+1 & a^2+a+1\end{vmatrix}=-2\)
  • d. \(\begin{vmatrix}1+x & 1 \\ 1 & 1+y\end{vmatrix}=xy\left(1+\frac{1}{x}+\frac{1}{y}\right)\)

(सिद्ध गर्नुहोस् 🙂

a. \(\begin{vmatrix}x^2 & y^2 \\ y & x\end{vmatrix}=(x-y)(x^2+xy+y^2)\)
\[\begin{aligned}\text{L.H.S.} &= \begin{vmatrix}x^2&y^2\\y&x\end{vmatrix} \\ &= x^3-y^3 \\ &= (x-y)(x^2+xy+y^2) \\ &= \text{R.H.S.}\end{aligned}\]
Since L.H.S. = R.H.S., it is proved.

b. \(\begin{vmatrix}x+y & y+z \\ z-y & x-y\end{vmatrix}=x^2-z^2\)
\[\begin{aligned}\text{L.H.S.} &= \begin{vmatrix}x+y&y+z\\z-y&x-y\end{vmatrix} \\ &= (x+y)(x-y)-(y+z)(z-y) \\ &= (x^2-y^2)-(z^2-y^2) \\ &= x^2-z^2 \\ &= \text{R.H.S.}\end{aligned}\]
Since L.H.S. = R.H.S., it is proved.

c. \(\begin{vmatrix}a-1 & a^2-a+1 \\ a+1 & a^2+a+1\end{vmatrix}=-2\)
\[\begin{aligned}\text{L.H.S.} &= \begin{vmatrix}a-1&a^2-a+1\\a+1&a^2+a+1\end{vmatrix} \\ &= (a-1)(a^2+a+1)-(a+1)(a^2-a+1) \\ &= (a^3-1)-(a^3+1) \\ &= -2 \\ &= \text{R.H.S.}\end{aligned}\]
Since L.H.S. = R.H.S., it is proved.

d. \(\begin{vmatrix}1+x & 1 \\ 1 & 1+y\end{vmatrix}=xy\left(1+\frac{1}{x}+\frac{1}{y}\right)\)
\[\begin{aligned}\text{L.H.S.} &= \begin{vmatrix}1+x&1\\1&1+y\end{vmatrix} \\ &= (1+x)(1+y)-1 \\ &= 1+y+x+xy-1 \\ &= xy+x+y\end{aligned}\]\[\begin{aligned}\text{R.H.S.} &= xy\left(1+\frac{1}{x}+\frac{1}{y}\right) \\ &= xy+xy\cdot\frac{1}{x}+xy\cdot\frac{1}{y} \\ &= xy+y+x\end{aligned}\]
Since L.H.S. = R.H.S., it is proved.

Q.7 If \(M=\begin{bmatrix}5 & 2 \\ 4 & 3\end{bmatrix}\) and \(N=\begin{bmatrix}1 & -3 \\ 6 & 2\end{bmatrix}\), verify that \(|MN|=|N||M|\).

(यदि \(M=\begin{bmatrix}5 & 2 \\ 4 & 3\end{bmatrix}\) र \(N=\begin{bmatrix}1 & -3 \\ 6 & 2\end{bmatrix}\) भए \(|MN|=|N||M|\) परीक्षण गर्नुहोस् ।)

Here, \(M=\begin{bmatrix}5 & 2 \\ 4 & 3\end{bmatrix}\) and \(N=\begin{bmatrix}1 & -3 \\ 6 & 2\end{bmatrix}\).

R.H.S.

\[\begin{aligned}|M| &= \begin{vmatrix}5 & 2 \\ 4 & 3\end{vmatrix} \\ &= (5\times 3)-(2\times 4) \\ &= 15-8 \\ &= 7\end{aligned}\]\[\begin{aligned}|N| &= \begin{vmatrix}1 & -3 \\ 6 & 2\end{vmatrix} \\ &= (1\times 2)-((-3)\times 6) \\ &= 2-(-18) \\ &= 20\end{aligned}\]\[|N||M|=20\times 7=140\]

L.H.S.

\[\begin{aligned}MN &= \begin{bmatrix}5 & 2 \\ 4 & 3\end{bmatrix}\begin{bmatrix}1 & -3 \\ 6 & 2\end{bmatrix} \\ &= \begin{bmatrix}5(1)+2(6) & 5(-3)+2(2) \\ 4(1)+3(6) & 4(-3)+3(2)\end{bmatrix} \\ &= \begin{bmatrix}5+12 & -15+4 \\ 4+18 & -12+6\end{bmatrix} \\ &= \begin{bmatrix}17 & -11 \\ 22 & -6\end{bmatrix}\end{aligned}\]\[\begin{aligned}|MN| &= \begin{vmatrix}17 & -11 \\ 22 & -6\end{vmatrix} \\ &= (17\times (-6))-((-11)\times 22) \\ &= (-102)-(-242) \\ &= 140\end{aligned}\]
Since \(|MN|=|N||M|=140\), it is verified.
Answer
1. A. b   B. c   C. c   D. d
2. a. \(2\)   b. \(-7\)   c. \(5\)   d. \(1\)   e. \(4xy\)   f. \(0\)   g. \(3\)   h. \(2y^3\)
3. a. \(10\)   b. \(-8\)   c. \(x^2-y^2\)   d. \(10\)   e. \(0\)   f. \(6\)
4. a. \(2\)   b. \(4\)   c. \(0\)   d. \(\pm\sqrt{10}\)
5. a. \(289\)   b. \(-6\)   c. \(74\)   d. \(114\)
6–7. Proved / verified

5. Exercise 6.4 Inverse Matrix: Class 10 Optional Mathematics Matrix and Determinant

Exercise 6.4 Inverse Matrix: Multiple Choice Questions (बहुवैकल्पिक प्रश्न)

Q.1 Tick (✓) the correct option for the given questions:

(दिइएका प्रश्नहरूको उपयुक्त विकल्पमा ठिक चिह्न (✓) लगाउनुहोस् 🙂

A. If the matrix \(A=\begin{bmatrix}a & b \\ c & d\end{bmatrix}\), which of the following is the inverse matrix \(A^{-1}\)? (मेट्रिक्स \(A=\begin{bmatrix}a & b \\ c & d\end{bmatrix}\) भए \(A^{-1}\) मेट्रिक्स तलका मध्ये कुन हो ?)

  • a) \(\frac{1}{|A|}\begin{bmatrix}a & b \\ c & d\end{bmatrix}\)
  • b) \(\frac{1}{|A|}\begin{bmatrix}a & -b \\ -c & d\end{bmatrix}\)
  • c) \(\frac{1}{|A|}\begin{bmatrix}d & -b \\ -c & a\end{bmatrix}\)
  • d) \(\frac{1}{|A|}\begin{bmatrix}-d & b \\ c & -a\end{bmatrix}\)

Correct Answer: c) \(\frac{1}{|A|}\begin{bmatrix}d & -b \\ -c & a\end{bmatrix}\)

Solution:

  • For a \(2\times 2\) matrix, interchange the diagonal elements, change the signs of the other two elements, and divide by \(|A|\).
\[A^{-1}=\frac{1}{|A|}\mathrm{adj}(A)=\frac{1}{|A|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix}\]

(\(A^{-1}=\frac{1}{|A|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix}\) हुन्छ ।)


B. In which of the following situations is the inverse matrix \(A^{-1}\) of the matrix \(A\) not defined? (तलका मध्ये कुन अवस्थामा मेट्रिक्स \(A\) को विपरीत मेट्रिक्स \(A^{-1}\) परिभाषित हुँदैन ?)

  • a) If matrix \(A\) is a singular matrix (यदि \(A\) एकल मेट्रिक्स भएमा)
  • b) If matrix \(A\) is a non-singular matrix (यदि \(A\) अएकल मेट्रिक्स भएमा)
  • c) If matrix \(A\) is a square matrix (यदि \(A\) वर्ग मेट्रिक्स भएमा)
  • d) If matrix \(A\) is an identity matrix (यदि \(A\) एकात्मक मेट्रिक्स भएमा)

Correct Answer: a) If matrix \(A\) is a singular matrix (यदि \(A\) एकल मेट्रिक्स भएमा)

Solution:

  • \(A^{-1}\) requires division by \(|A|\).
  • If \(A\) is singular then \(|A|=0\), and division by zero is undefined, so \(A^{-1}\) is not defined.

(एकल (singular) मेट्रिक्सको डिटरमिनान्ट शून्य हुने भएकाले यसको विपरीत मेट्रिक्स परिभाषित हुँदैन ।)


C. Among the following properties, which one is the property of an inverse matrix? (दिइएका गुणहरूमध्ये कुन गुण विपरीत मेट्रिक्सको गुण हो ?)

  • a) \((A^T)^T=A\)
  • b) \((A^{-1})^{-1}=A\)
  • c) \((AB)^T=B^TA^T\)
  • d) \(AI=IA=A\)

Correct Answer: b) \((A^{-1})^{-1}=A\)

Solution:

  • The inverse of the inverse of a matrix is the matrix itself: \((A^{-1})^{-1}=A\).

(विपरीत मेट्रिक्सको विपरीत मेट्रिक्स आफैँ हुन्छ, अर्थात् \((A^{-1})^{-1}=A\) ।)


D. If the matrix \(A=\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\), which of the following is the inverse matrix \(A^{-1}\)? (मेट्रिक्स \(A=\begin{bmatrix}2 & 3 \\ 1 & 4\end{bmatrix}\) भए \(A^{-1}\) मेट्रिक्स तलका मध्ये कुन हो ?)

  • a) \(\frac{1}{5}\begin{bmatrix}-2 & 3 \\ 1 & -4\end{bmatrix}\)
  • b) \(\frac{1}{5}\begin{bmatrix}2 & -3 \\ -1 & 4\end{bmatrix}\)
  • c) \(\frac{1}{5}\begin{bmatrix}4 & 3 \\ 1 & 2\end{bmatrix}\)
  • d) \(\frac{1}{5}\begin{bmatrix}4 & -3 \\ -1 & 2\end{bmatrix}\)

Correct Answer: d) \(\frac{1}{5}\begin{bmatrix}4 & -3 \\ -1 & 2\end{bmatrix}\)

Solution:

  • \(|A|=(2\times 4)-(3\times 1)=8-3=5\).
  • The adjoint is \(\mathrm{adj}(A)=\begin{bmatrix}4 & -3 \\ -1 & 2\end{bmatrix}\).
\[A^{-1}=\frac{1}{5}\begin{bmatrix}4 & -3 \\ -1 & 2\end{bmatrix}\]

(\(|A|=5\) र \(A^{-1}=\frac{1}{5}\begin{bmatrix}4 & -3 \\ -1 & 2\end{bmatrix}\) हुन्छ ।)

Exercise 6.4 Inverse Matrix: Written Questions (लेख्ने प्रश्न)

Q.2 Multiply the following matrices and prove that they are inverse matrices of each other.

  • a. \(A=\begin{bmatrix}5 & 1 \\ 2 & 1\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -1 \\ -2 & 3\end{bmatrix}\)
  • b. \(A=\begin{bmatrix}5 & -3 \\ -3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}2 & 3 \\ 3 & 5\end{bmatrix}\)
  • c. \(A=\begin{bmatrix}2 & 1 \\ 5 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}3 & -1 \\ -5 & 2\end{bmatrix}\)
  • d. \(A=\begin{bmatrix}4 & 7 \\ 5 & 9\end{bmatrix}\) and \(B=\begin{bmatrix}9 & -7 \\ -5 & 4\end{bmatrix}\)

(दिइएका मेट्रिक्सहरू गुणन गर्नुहोस् र तिनीहरू एकआपसमा विपरीत मेट्रिक्स हुन् भनी प्रमाणित गर्नुहोस् 🙂

a. \(A=\begin{bmatrix}5 & 1 \\ 2 & 1\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -1 \\ -2 & 3\end{bmatrix}\)

Here, \(A=\begin{bmatrix}5 & 1 \\ 2 & 1\end{bmatrix}\) and \(B=\begin{bmatrix}1 & -1 \\ -2 & 3\end{bmatrix}\).

\[\begin{aligned}AB &= \begin{bmatrix}5 & 1 \\ 2 & 1\end{bmatrix}\begin{bmatrix}1 & -1 \\ -2 & 3\end{bmatrix} \\ &= \begin{bmatrix}5(1)+1(-2) & 5(-1)+1(3) \\ 2(1)+1(-2) & 2(-1)+1(3)\end{bmatrix} \\ &= \begin{bmatrix}5-2 & -5+3 \\ 2-2 & -2+3\end{bmatrix} \\ &= \begin{bmatrix}3 & -2 \\ 0 & 1\end{bmatrix}\end{aligned}\]

As printed, \(AB=\begin{bmatrix}3 & -2 \\ 0 & 1\end{bmatrix}\neq I\).

Note on the printed matrix

As printed, \(AB\neq I\), so these two matrices are not inverses of each other. The matrix \(B\) is the inverse of \(A=\begin{bmatrix}3 & 1 \\ 2 & 1\end{bmatrix}\) (the entry \(5\) looks like a misprint of \(3\)). With this matrix:

\[\begin{aligned}AB &= \begin{bmatrix}3 & 1 \\ 2 & 1\end{bmatrix}\begin{bmatrix}1 & -1 \\ -2 & 3\end{bmatrix} \\ &= \begin{bmatrix}3(1)+1(-2) & 3(-1)+1(3) \\ 2(1)+1(-2) & 2(-1)+1(3)\end{bmatrix} \\ &= \begin{bmatrix}3-2 & -3+3 \\ 2-2 & -2+3\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]\[\begin{aligned}BA &= \begin{bmatrix}1 & -1 \\ -2 & 3\end{bmatrix}\begin{bmatrix}3 & 1 \\ 2 & 1\end{bmatrix} \\ &= \begin{bmatrix}1(3)+(-1)(2) & 1(1)+(-1)(1) \\ (-2)(3)+3(2) & (-2)(1)+3(1)\end{bmatrix} \\ &= \begin{bmatrix}3-2 & 1-1 \\ -6+6 & -2+3\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]
With \(A=\begin{bmatrix}3 & 1 \\ 2 & 1\end{bmatrix}\), \(AB=BA=I\), so \(A\) and \(B\) are inverses of each other.

b. \(A=\begin{bmatrix}5 & -3 \\ -3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}2 & 3 \\ 3 & 5\end{bmatrix}\)

Here, \(A=\begin{bmatrix}5 & -3 \\ -3 & 2\end{bmatrix}\) and \(B=\begin{bmatrix}2 & 3 \\ 3 & 5\end{bmatrix}\).

\[\begin{aligned}AB &= \begin{bmatrix}5 & -3 \\ -3 & 2\end{bmatrix}\begin{bmatrix}2 & 3 \\ 3 & 5\end{bmatrix} \\ &= \begin{bmatrix}5(2)+(-3)(3) & 5(3)+(-3)(5) \\ (-3)(2)+2(3) & (-3)(3)+2(5)\end{bmatrix} \\ &= \begin{bmatrix}10-9 & 15-15 \\ -6+6 & -9+10\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]\[\begin{aligned}BA &= \begin{bmatrix}2 & 3 \\ 3 & 5\end{bmatrix}\begin{bmatrix}5 & -3 \\ -3 & 2\end{bmatrix} \\ &= \begin{bmatrix}2(5)+3(-3) & 2(-3)+3(2) \\ 3(5)+5(-3) & 3(-3)+5(2)\end{bmatrix} \\ &= \begin{bmatrix}10-9 & -6+6 \\ 15-15 & -9+10\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]
Since \(AB=BA=I\), \(A\) and \(B\) are inverse matrices of each other.

c. \(A=\begin{bmatrix}2 & 1 \\ 5 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}3 & -1 \\ -5 & 2\end{bmatrix}\)

Here, \(A=\begin{bmatrix}2 & 1 \\ 5 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}3 & -1 \\ -5 & 2\end{bmatrix}\).

\[\begin{aligned}AB &= \begin{bmatrix}2 & 1 \\ 5 & 3\end{bmatrix}\begin{bmatrix}3 & -1 \\ -5 & 2\end{bmatrix} \\ &= \begin{bmatrix}2(3)+1(-5) & 2(-1)+1(2) \\ 5(3)+3(-5) & 5(-1)+3(2)\end{bmatrix} \\ &= \begin{bmatrix}6-5 & -2+2 \\ 15-15 & -5+6\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]\[\begin{aligned}BA &= \begin{bmatrix}3 & -1 \\ -5 & 2\end{bmatrix}\begin{bmatrix}2 & 1 \\ 5 & 3\end{bmatrix} \\ &= \begin{bmatrix}3(2)+(-1)(5) & 3(1)+(-1)(3) \\ (-5)(2)+2(5) & (-5)(1)+2(3)\end{bmatrix} \\ &= \begin{bmatrix}6-5 & 3-3 \\ -10+10 & -5+6\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]
Since \(AB=BA=I\), \(A\) and \(B\) are inverse matrices of each other.

d. \(A=\begin{bmatrix}4 & 7 \\ 5 & 9\end{bmatrix}\) and \(B=\begin{bmatrix}9 & -7 \\ -5 & 4\end{bmatrix}\)

Here, \(A=\begin{bmatrix}4 & 7 \\ 5 & 9\end{bmatrix}\) and \(B=\begin{bmatrix}9 & -7 \\ -5 & 4\end{bmatrix}\).

\[\begin{aligned}AB &= \begin{bmatrix}4 & 7 \\ 5 & 9\end{bmatrix}\begin{bmatrix}9 & -7 \\ -5 & 4\end{bmatrix} \\ &= \begin{bmatrix}4(9)+7(-5) & 4(-7)+7(4) \\ 5(9)+9(-5) & 5(-7)+9(4)\end{bmatrix} \\ &= \begin{bmatrix}36-35 & -28+28 \\ 45-45 & -35+36\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]\[\begin{aligned}BA &= \begin{bmatrix}9 & -7 \\ -5 & 4\end{bmatrix}\begin{bmatrix}4 & 7 \\ 5 & 9\end{bmatrix} \\ &= \begin{bmatrix}9(4)+(-7)(5) & 9(7)+(-7)(9) \\ (-5)(4)+4(5) & (-5)(7)+4(9)\end{bmatrix} \\ &= \begin{bmatrix}36-35 & 63-63 \\ -20+20 & -35+36\end{bmatrix} \\ &= \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix}\end{aligned}\]
Since \(AB=BA=I\), \(A\) and \(B\) are inverse matrices of each other.

Q.3 Find the inverse matrices of the following matrices.

  • a. \(A=\begin{bmatrix}2 & 1 \\ 3 & 4\end{bmatrix}\)
  • b. \(B=\begin{bmatrix}7 & 4 \\ 3 & 2\end{bmatrix}\)
  • c. \(P=\begin{bmatrix}2 & 0 \\ 3 & 1\end{bmatrix}\)
  • d. \(R=\begin{bmatrix}\cos A & -\sin A \\ \sin A & \cos A\end{bmatrix}\)

(दिइएका मेट्रिक्सहरूको विपरीत मेट्रिक्स पत्ता लगाउनुहोस् 🙂

a. \(A=\begin{bmatrix}2 & 1 \\ 3 & 4\end{bmatrix}\)

Here, \(A=\begin{bmatrix}2 & 1 \\ 3 & 4\end{bmatrix}\).

\[\begin{aligned}|A| &= \begin{vmatrix}2 & 1 \\ 3 & 4\end{vmatrix} \\ &= (2\times 4)-(1\times 3) \\ &= 8-3 \\ &= 5\end{aligned}\]

Since \(|A|\neq 0\), the inverse exists. Interchange the diagonal elements and change the signs of the other two elements:

\[\begin{aligned}A^{-1} &= \frac{1}{|A|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix} \\ &= \frac{1}{5}\begin{bmatrix}4 & -1 \\ -3 & 2\end{bmatrix} \\ &= \begin{bmatrix}\frac{4}{5} & -\frac{1}{5} \\ -\frac{3}{5} & \frac{2}{5}\end{bmatrix}\end{aligned}\]
\(A^{-1}=\begin{bmatrix}\frac{4}{5} & -\frac{1}{5} \\ -\frac{3}{5} & \frac{2}{5}\end{bmatrix}\)

b. \(B=\begin{bmatrix}7 & 4 \\ 3 & 2\end{bmatrix}\)

Here, \(B=\begin{bmatrix}7 & 4 \\ 3 & 2\end{bmatrix}\).

\[\begin{aligned}|B| &= \begin{vmatrix}7 & 4 \\ 3 & 2\end{vmatrix} \\ &= (7\times 2)-(4\times 3) \\ &= 14-12 \\ &= 2\end{aligned}\]

Since \(|B|\neq 0\), the inverse exists. Interchange the diagonal elements and change the signs of the other two elements:

\[\begin{aligned}B^{-1} &= \frac{1}{|B|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix} \\ &= \frac{1}{2}\begin{bmatrix}2 & -4 \\ -3 & 7\end{bmatrix} \\ &= \begin{bmatrix}1 & -2 \\ -\frac{3}{2} & \frac{7}{2}\end{bmatrix}\end{aligned}\]
\(B^{-1}=\begin{bmatrix}1 & -2 \\ -\frac{3}{2} & \frac{7}{2}\end{bmatrix}\)
c. \(P=\begin{bmatrix}2 & 0 \\ 3 & 1\end{bmatrix}\)

Here, \(P=\begin{bmatrix}2 & 0 \\ 3 & 1\end{bmatrix}\).

\[\begin{aligned}|P| &= \begin{vmatrix}2 & 0 \\ 3 & 1\end{vmatrix} \\ &= (2\times 1)-(0\times 3) \\ &= 2-0 \\ &= 2\end{aligned}\]

Since \(|P|\neq 0\), the inverse exists. Interchange the diagonal elements and change the signs of the other two elements:

\[\begin{aligned}P^{-1} &= \frac{1}{|P|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix} \\ &= \frac{1}{2}\begin{bmatrix}1 & 0 \\ -3 & 2\end{bmatrix} \\ &= \begin{bmatrix}\frac{1}{2} & 0 \\ -\frac{3}{2} & 1\end{bmatrix}\end{aligned}\]
\(P^{-1}=\begin{bmatrix}\frac{1}{2} & 0 \\ -\frac{3}{2} & 1\end{bmatrix}\)

d. \(R=\begin{bmatrix}\cos A & -\sin A \\ \sin A & \cos A\end{bmatrix}\)

Here, \(R=\begin{bmatrix}\cos A&-\sin A\\\sin A&\cos A\end{bmatrix}\).

\[\begin{aligned}|R| &= \cos A\cdot\cos A-(-\sin A)\cdot\sin A \\ &= \cos^2A+\sin^2A \\ &= 1\end{aligned}\]\[\begin{aligned}R^{-1} &= \frac{1}{|R|}\begin{bmatrix}\cos A&\sin A\\-\sin A&\cos A\end{bmatrix} \\ &= \frac{1}{1}\begin{bmatrix}\cos A&\sin A\\-\sin A&\cos A\end{bmatrix}\end{aligned}\]
\(R^{-1}=\begin{bmatrix}\cos A&\sin A\\-\sin A&\cos A\end{bmatrix}\)

Q.4 If the following matrices are inverse of each other, find the values of \(a, b\) or \(p, q\).

  • a. \(\begin{bmatrix}a & 1 \\ 5 & 2\end{bmatrix}\) and \(\begin{bmatrix}2 & -1 \\ -5 & b\end{bmatrix}\)
  • b. \(\begin{bmatrix}p & 2p-9 \\ -q & 3\end{bmatrix}\) and \(\begin{bmatrix}3 & 5 \\ q & p\end{bmatrix}\)

(दिइएका मेट्रिक्सहरू एकअर्काका विपरीत मेट्रिक्सहरू भए \(a, b\) अथवा \(p, q\) का मानहरू पत्ता लगाउनुहोस् 🙂

a. \(\begin{bmatrix}a & 1 \\ 5 & 2\end{bmatrix}\) and \(\begin{bmatrix}2 & -1 \\ -5 & b\end{bmatrix}\)

Since the matrices are inverses of each other, their product is the identity matrix.

\[\begin{aligned}\begin{bmatrix}a&1\\5&2\end{bmatrix}\begin{bmatrix}2&-1\\-5&b\end{bmatrix} &= \begin{bmatrix}2a-5&-a+b\\10-10&-5+2b\end{bmatrix} \\ &= \begin{bmatrix}1&0\\0&1\end{bmatrix}\end{aligned}\]

Equating the corresponding elements:

\[2a-5=1 \implies 2a=6 \implies a=3\]\[-5+2b=1 \implies 2b=6 \implies b=3\]

Check: \(-a+b=-3+3=0\). ✓

\(a=3,\ b=3\)

b. \(\begin{bmatrix}p & 2p-9 \\ -q & 3\end{bmatrix}\) and \(\begin{bmatrix}3 & 5 \\ q & p\end{bmatrix}\)

Since the matrices are inverses of each other, their product is the identity matrix.

\[\begin{aligned}\begin{bmatrix}p&2p-9\\-q&3\end{bmatrix}\begin{bmatrix}3&5\\q&p\end{bmatrix} &= \begin{bmatrix}3p+q(2p-9)&5p+p(2p-9)\\-3q+3q&-5q+3p\end{bmatrix} \\ &= \begin{bmatrix}1&0\\0&1\end{bmatrix}\end{aligned}\]

From the top-right element:

\[\begin{aligned}& 5p+2p^2-9p=0 \\ &\implies 2p^2-4p=0 \\ &\implies 2p(p-2)=0 \\ &\implies p=0 \text{ or } p=2\end{aligned}\]

From the bottom-right element: \(-5q+3p=1\).

  • If \(p=2\): \(-5q+6=1\), so \(q=1\). Check the top-left element: \(3(2)+1(4-9)=6-5=1\) ✓.
  • If \(p=0\): \(q=-\frac{1}{5}\), and the top-left element gives \(-9q=\frac{9}{5}\neq 1\), so \(p=0\) is rejected.
\(p=2,\ q=1\)

Q.5 If the inverse matrix of \(A\) is \(A^{-1}=\begin{bmatrix}3&2\\5&4\end{bmatrix}\), find the matrix \(A\).

(यदि मेट्रिक्स \(A\) को विपरीत मेट्रिक्स \(A^{-1}=\begin{bmatrix}3&2\\5&4\end{bmatrix}\) भए मेट्रिक्स \(A\) पत्ता लगाउनुहोस् ।)

Here, \(A^{-1}=\begin{bmatrix}3 & 2 \\ 5 & 4\end{bmatrix}\). We know that \(A=(A^{-1})^{-1}\).

\[\begin{aligned}|A^{-1}| &= \begin{vmatrix}3 & 2 \\ 5 & 4\end{vmatrix} \\ &= (3\times 4)-(2\times 5) \\ &= 12-10 \\ &= 2\end{aligned}\]\[\begin{aligned}(A^{-1})^{-1} &= \frac{1}{|A^{-1}|}\begin{bmatrix}4 & -2 \\ -5 & 3\end{bmatrix} \\ &= \frac{1}{2}\begin{bmatrix}4 & -2 \\ -5 & 3\end{bmatrix} \\ &= \begin{bmatrix}2 & -1 \\ -\frac{5}{2} & \frac{3}{2}\end{bmatrix}\end{aligned}\]
\(A=\begin{bmatrix}2 & -1 \\ -\frac{5}{2} & \frac{3}{2}\end{bmatrix}\)

Q.6 If \(A=\begin{bmatrix}2 & 0 \\ 5 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}4 & 1 \\ 7 & 2\end{bmatrix}\), then,

  • a. Find \(|A|\) and \(|B|\).
  • b. Find \(A^{-1}\) and \(B^{-1}\).
  • c. Find \((AB)^{-1}\).
  • d. Verify that \((AB)^{-1}=B^{-1}A^{-1}\).

(यदि \(A=\begin{bmatrix}2 & 0 \\ 5 & 3\end{bmatrix}\) र \(B=\begin{bmatrix}4 & 1 \\ 7 & 2\end{bmatrix}\) भए, (क) \(|A|\) र \(|B|\) पत्ता लगाउनुहोस् । (ख) \(A^{-1}\) र \(B^{-1}\) पत्ता लगाउनुहोस् । (ग) \((AB)^{-1}\) पत्ता लगाउनुहोस् । (घ) \((AB)^{-1}=B^{-1}A^{-1}\) परीक्षण गर्नुहोस् ।)

Here, \(A=\begin{bmatrix}2 & 0 \\ 5 & 3\end{bmatrix}\) and \(B=\begin{bmatrix}4 & 1 \\ 7 & 2\end{bmatrix}\).

a. Determinants

\[\begin{aligned}|A| &= \begin{vmatrix}2 & 0 \\ 5 & 3\end{vmatrix} \\ &= (2\times 3)-(0\times 5) \\ &= 6-0 \\ &= 6\end{aligned}\]\[\begin{aligned}|B| &= \begin{vmatrix}4 & 1 \\ 7 & 2\end{vmatrix} \\ &= (4\times 2)-(1\times 7) \\ &= 8-7 \\ &= 1\end{aligned}\]

b. Inverse matrices

\[\begin{aligned}A^{-1} &= \frac{1}{6}\begin{bmatrix}3 & 0 \\ -5 & 2\end{bmatrix} \\ &= \begin{bmatrix}\frac{1}{2} & 0 \\ -\frac{5}{6} & \frac{1}{3}\end{bmatrix}\end{aligned}\]\[\begin{aligned}B^{-1} &= \frac{1}{1}\begin{bmatrix}2 & -1 \\ -7 & 4\end{bmatrix} \\ &= \begin{bmatrix}2 & -1 \\ -7 & 4\end{bmatrix}\end{aligned}\]

c. \((AB)^{-1}\)

\[\begin{aligned}AB &= \begin{bmatrix}2 & 0 \\ 5 & 3\end{bmatrix}\begin{bmatrix}4 & 1 \\ 7 & 2\end{bmatrix} \\ &= \begin{bmatrix}2(4)+0(7) & 2(1)+0(2) \\ 5(4)+3(7) & 5(1)+3(2)\end{bmatrix} \\ &= \begin{bmatrix}8+0 & 2+0 \\ 20+21 & 5+6\end{bmatrix} \\ &= \begin{bmatrix}8 & 2 \\ 41 & 11\end{bmatrix}\end{aligned}\]\[\begin{aligned}|AB| &= \begin{vmatrix}8 & 2 \\ 41 & 11\end{vmatrix} \\ &= (8\times 11)-(2\times 41) \\ &= 88-82 \\ &= 6\end{aligned}\]\[\begin{aligned}(AB)^{-1} &= \frac{1}{6}\begin{bmatrix}11 & -2 \\ -41 & 8\end{bmatrix} \\ &= \begin{bmatrix}\frac{11}{6} & -\frac{1}{3} \\ -\frac{41}{6} & \frac{4}{3}\end{bmatrix}\end{aligned}\tag{i}\]

d. Verification

R.H.S.:

\[\begin{aligned}B^{-1}A^{-1} &= \begin{bmatrix}2 & -1 \\ -7 & 4\end{bmatrix}\begin{bmatrix}\frac{1}{2} & 0 \\ -\frac{5}{6} & \frac{1}{3}\end{bmatrix} \\ &= \begin{bmatrix}2(\frac{1}{2})+(-1)(-\frac{5}{6}) & 2(0)+(-1)(\frac{1}{3}) \\ (-7)(\frac{1}{2})+4(-\frac{5}{6}) & (-7)(0)+4(\frac{1}{3})\end{bmatrix} \\ &= \begin{bmatrix}1+\frac{5}{6} & 0-\frac{1}{3} \\ -\frac{7}{2}-\frac{10}{3} & 0+\frac{4}{3}\end{bmatrix} \\ &= \begin{bmatrix}\frac{11}{6} & -\frac{1}{3} \\ -\frac{41}{6} & \frac{4}{3}\end{bmatrix}\end{aligned}\tag{ii}\]

From equations (i) and (ii), L.H.S. = R.H.S.,

\((AB)^{-1}=B^{-1}A^{-1}\) is verified.
Answer
1. A. c   B. a   C. b   D. d
2. \(AB=BA=I\) in b, c, d (see note for a)
3. a. \(\begin{bmatrix}\frac{4}{5} & -\frac{1}{5} \\ -\frac{3}{5} & \frac{2}{5}\end{bmatrix}\)   b. \(\begin{bmatrix}1 & -2 \\ -\frac{3}{2} & \frac{7}{2}\end{bmatrix}\)   c. \(\begin{bmatrix}\frac{1}{2} & 0 \\ -\frac{3}{2} & 1\end{bmatrix}\)   d. \(\begin{bmatrix}\cos A&\sin A\\-\sin A&\cos A\end{bmatrix}\)
4. a. \(a=3,\ b=3\)   b. \(p=2,\ q=1\)
5. \(\begin{bmatrix}2 & -1 \\ -\frac{5}{2} & \frac{3}{2}\end{bmatrix}\)
6. a. \(|A|=6,\ |B|=1\)   b. \(A^{-1}=\begin{bmatrix}\frac{1}{2} & 0 \\ -\frac{5}{6} & \frac{1}{3}\end{bmatrix},\ B^{-1}=\begin{bmatrix}2 & -1 \\ -7 & 4\end{bmatrix}\)   c. \(\begin{bmatrix}\frac{11}{6} & -\frac{1}{3} \\ -\frac{41}{6} & \frac{4}{3}\end{bmatrix}\)   d. Verified

6. Frequently Asked Questions on Class 10 Optional Mathematics Matrix and Determinant

What is covered in Class 10 Optional Mathematics Matrix and Determinant (Unit 6)? (कक्षा १० ऐच्छिक गणित मेट्रिक्स र डिटरमिनान्ट (एकाइ ६) मा के के समावेश छ ?)

Class 10 Optional Mathematics Matrix and Determinant is Unit 6 of the Grade 10 Optional Mathematics book of Nepal. It covers Exercise 6.1 Transpose of a Matrix, Exercise 6.2 Multiplication of Matrices, Exercise 6.3 Determinant of a Matrix and Exercise 6.4 Inverse Matrix. This page solves all 88 questions.

What is the transpose of a matrix? (मेट्रिक्सको क्रम परिवर्तन (transpose) भनेको के हो ?)

The transpose of a matrix \(A\), written \(A^T\) or \(A’\), is obtained by interchanging its rows and columns. A \(2\times 3\) matrix has a \(3\times 2\) transpose.

What are the properties of the transpose of a matrix? (मेट्रिक्सको क्रम परिवर्तनका गुणहरू के के हुन् ?)
  • \((A+B)^T=A^T+B^T\) and \((A-B)^T=A^T-B^T\)
  • \((kA)^T=kA^T\)
  • \((A^T)^T=A\)
  • \((AB)^T=B^TA^T\)
When can two matrices be multiplied? (दुई मेट्रिक्स कहिले गुणन गर्न सकिन्छ ?)

The product \(AB\) is defined only when the number of columns of \(A\) equals the number of rows of \(B\). If \(A\) is \(m\times n\) and \(B\) is \(n\times p\), then \(AB\) is \(m\times p\) (Exercise 6.2, Question 2).

Is \(AB\) always equal to \(BA\)? (के \(AB\) र \(BA\) सधैँ बराबर हुन्छन् ?)

No. Matrix multiplication is generally not commutative. For \(A=\begin{bmatrix}0&2\\1&3\end{bmatrix}\) and \(B=\begin{bmatrix}3&5\\4&6\end{bmatrix}\), \(AB\neq BA\) (Exercise 6.2, Question 9a).

Which properties does matrix multiplication follow? (मेट्रिक्सको गुणनले कुन कुन नियम पालना गर्छ ?)
  • Associative: \((AB)C=A(BC)\)
  • Distributive: \(A(B+C)=AB+AC\)
  • Identity: \(AI=IA=A\)
How do I find the determinant of a \(2\times 2\) matrix? (\(2\times 2\) मेट्रिक्सको डिटरमिनान्ट कसरी निकाल्ने ?)

For \(A=\begin{bmatrix}a&b\\c&d\end{bmatrix}\), \(|A|=ad-bc\): multiply the main diagonal and subtract the product of the secondary diagonal. For a \(1\times 1\) matrix \([a]\), the determinant is \(a\) itself and is not an absolute value.

What are singular and non-singular matrices? (एकल र अएकल (singular र non-singular) मेट्रिक्स भनेको के हो ?)

A square matrix with \(|A|=0\) is singular, and one with \(|A|\neq 0\) is non-singular. Only a non-singular matrix has an inverse.

How do I find the inverse of a \(2\times 2\) matrix? (\(2\times 2\) मेट्रिक्सको विपरीत मेट्रिक्स कसरी निकाल्ने ?)

Use \(A^{-1}=\dfrac{1}{|A|}\begin{bmatrix}d&-b\\-c&a\end{bmatrix}\): interchange the diagonal elements, change the signs of the other two elements, and divide by \(|A|\). Example: Exercise 6.4, Question 3a.

How do I check that two matrices are inverses of each other? (दुई मेट्रिक्स एकअर्काका विपरीत हुन् कि होइनन् कसरी जाँच्ने ?)

Multiply them in both orders. If \(AB=BA=I\), they are inverses of each other (Exercise 6.4, Question 2).

What is the rule for \((AB)^{-1}\) and \(|AB|\)? (\((AB)^{-1}\) र \(|AB|\) को नियम के हो ?)

\((AB)^{-1}=B^{-1}A^{-1}\), so the order reverses, and \(|AB|=|A|\,|B|\). See Exercise 6.3 Question 7 and Exercise 6.4 Question 6.

Are these questions useful for SEE preparation in Nepal? (के यी प्रश्नहरू नेपालमा SEE को तयारीका लागि उपयोगी छन् ?)

Yes, for students who study Optional Mathematics. This set covers every question type of Unit 6: transpose, products, properties, determinants and inverse matrices. Practising them builds the skills needed for SEE-style questions.

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