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Determinants are an effective method to solve systems of linear equations, and many other algebraic concepts in higher mathematics. This chapter will familiarise students with determinants, characteristics of determinants, minors, cofactors, expansion of determinants, and application of determinants to calculate the area of a triangle and solve linear equations. A clear understanding of these topics will enhance reasoning ability, increase accuracy in mathematics, and help in effective problem-solving. Developed by our team of subject experts having many years of instructional experience and complete knowledge of the subject Mathematics, NCERT Solutions for Class 12 Maths provide complete step-by-step solutions for every question in the textbook.
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These solutions are very easy to understand by the students, and they can use it to prepare for their school examinations very successfully. This chapter also opens gateways for various other entrance exams like JEE Main, JEE Advanced, etc., as the questions based on determinants are asked in these exams as well. Practising NCERT Solutions on a daily basis would help students improve conceptual clarity with concentration, speed, and accuracy.
Students who wish to access the NCERT solutions for Class 12 Maths Chapter 4 Determinants can click on the link below to download the complete solution in PDF.
Below, you will find the NCERT Class 12 Maths Chapter 4 Determinants question answers explained step by step.
| Determinants Class 12 Chapter 4 Question Answers Exercise: 4.1 Page number: 81-82 Total Questions: 8 |
Question 1: Evaluate the following determinant- $\begin{vmatrix} 2 & 4\\ -5 & -1\end{vmatrix}$
Answer:
The determinant is evaluated as follows
$\begin{vmatrix} 2 & 4\\ -5 & -1\end{vmatrix} = 2(-1) - 4(-5) = -2 + 20 = 18$
Question 2(i): Evaluate the following determinant- $\begin{vmatrix} \cos \theta & -\sin \theta \\ \sin \theta &\cos \theta \end{vmatrix}$
Answer:
The given two by two determinant is calculated as follows
$\begin{vmatrix} \cos \theta & -\sin \theta \\ \sin \theta & \cos \theta \end{vmatrix} = \cos \theta (\cos \theta) - (-\sin \theta)\sin \theta = \cos^2 \theta + \sin^2 \theta = 1$
Question 2(ii): Evaluate the following determinant- $\begin{vmatrix}x^2-x+1 & x-1\\x+1 &x+1 \end{vmatrix}$
Answer:
We have determinant $\begin{vmatrix}x^2-x+1 & x-1\\x+1 &x+1 \end{vmatrix}$
$\begin{vmatrix} x^2 - x + 1 & x - 1 \\ x + 1 & x + 1 \end{vmatrix} = (x^2 - x + 1)(x + 1) - (x - 1)(x + 1)$
$= (x+1)(x^2-x+1-x+1) = (x+1)(x^2-2x+2)$
$=x^3-2x^2+2x +x^2-2x+2$
$= x^3-x^2+2$
Question 3: If $A = \begin{bmatrix} 1 & 2\\ 4 &2 \end{bmatrix}$ , then show that $| 2 A |=4|A|$
Answer:
Given determinant $A = \begin{bmatrix} 1 & 2\\ 4 &2 \end{bmatrix}$ then we have to show that $| 2 A |=4|A|$,
So, $A = \begin{bmatrix} 1 & 2\\ 4 &2 \end{bmatrix}$ then, $2A =2 \begin{bmatrix} 1 & 2\\ 4 &2 \end{bmatrix} = \begin{bmatrix} 2 & 4\\ 8 &4 \end{bmatrix}$
Hence we have $\left | 2A \right | = \begin{vmatrix} 2 &4 \\ 8& 4 \end{vmatrix} = 2(4) - 4(8) = -24$
So, L.H.S. = |2A| = -24
then calculating R.H.S. $4\left | A \right |$
We have,
$\left | A \right | = \begin{vmatrix} 1 &2 \\ 4& 2 \end{vmatrix} = 1(2) - 2(4) = -6$
hence R.H.S becomes $4\left | A \right | = 4\times(-6) = -24$
Therefore L.H.S. =R.H.S.
Hence proved.
Question 4: If $A =\begin{bmatrix} 1 &0 &1 \\ 0& 1& 2\\ 0& 0 &4 \end{bmatrix}$ then show that $|3A|=27|A|$
Answer:
Given Matrix$A =\begin{bmatrix} 1 &0 &1 \\ 0& 1& 2\\ 0& 0 &4 \end{bmatrix}$
Calculating $3A =3\begin{bmatrix} 1 &0 &1 \\ 0& 1& 2\\ 0& 0 &4 \end{bmatrix} = \begin{bmatrix} 3 &0 &3 \\ 0& 3& 6\\ 0& 0 &12 \end{bmatrix}$
So, $\left | 3A \right | = 3(3(12) - 6(0) ) - 0(0(12)-0(6)) + 3(0-0) = 3(36) = 108$
calculating $27|A|$,
$|A| = \begin{vmatrix} 1 & 0 &1 \\ 0 & 1 & 2\\ 0& 0 &4 \end{vmatrix} = 1\begin{vmatrix} 1 &2 \\ 0 & 4 \end{vmatrix} - 0\begin{vmatrix} 0 &2 \\ 0& 4 \end{vmatrix} + 1\begin{vmatrix} 0 &1 \\ 0& 0 \end{vmatrix} = 4 -0 + 0 = 4$
So, $27|A| = 27(4) = 108$
Therefore $|3A|=27|A|$.
Hence proved.
Question 5(i): Evaluate the determinants.
$\begin{vmatrix}3 &-1 &-2 \\0 &0 &-1 \\3 &-5 & 0 \end{vmatrix}$
Answer:
Given the determinant $\begin{vmatrix}3 &-1 &-2 \\0 &0 &-1 \\3 &-5 & 0 \end{vmatrix}$;
now, calculating its determinant value,
$\begin{vmatrix}3 &-1 &-2 \\0 &0 &-1 \\3 &-5 & 0 \end{vmatrix} = 3\begin{vmatrix} 0 &-1 \\ -5& 0 \end{vmatrix} -(-1)\begin{vmatrix} 0 &-1 \\ 3& 0 \end{vmatrix} +(-2)\begin{vmatrix} 0 &0 \\ 3& -5 \end{vmatrix}$
$= 3(0-5)+1(0+3) -2(0-0) = -15+3-0 = -12$.
Question 5(ii): Evaluate the determinants.
$\begin{vmatrix}3 &-4 &5 \\1 &1 &-2 \\2 &3 &1 \end{vmatrix}$
Answer:
Given determinant $\begin{vmatrix}3 &-4 &5 \\1 &1 &-2 \\2 &3 &1 \end{vmatrix}$;
Now calculating the determinant value;
$\begin{vmatrix}3 &-4 &5 \\1 &1 &-2 \\2 &3 &1 \end{vmatrix} = 3\begin{vmatrix} 1 &-2 \\ 3&1 \end{vmatrix} -(-4)\begin{vmatrix} 1 &-2 \\ 2& 1 \end{vmatrix}+5\begin{vmatrix} 1 & 1\\ 2& 3 \end{vmatrix}$
$= 3(1+6) +4(1+4) +5(3-2) = 21+20+5 = 46$.
Question 5(iii): Evaluate the determinants.
$\begin{vmatrix}0 & 1 & 2\\-1 &0 &-3 \\ -2 &3 &0 \end{vmatrix}$
Answer:
Given determinant $\begin{vmatrix}0 & 1 & 2\\-1 &0 &-3 \\ -2 &3 &0 \end{vmatrix}$;
Now calculating the determinant value;
$\begin{vmatrix}0 & 1 & 2\\-1 &0 &-3 \\ -2 &3 &0 \end{vmatrix} = 0\begin{vmatrix} 0 &-1 \\ 3& 0 \end{vmatrix} -1\begin{vmatrix} -1 &-3 \\ -2& 0 \end{vmatrix}+2\begin{vmatrix} -1 &0 \\ -2& 3 \end{vmatrix}$
$= 0 - 1(0-6)+2(-3-0) = 6 -6 =0$
Question 5(iv): Evaluate the determinants.
$\begin{vmatrix}2 &-1 &2 \\0 &2 &-1 \\3 &-5 &0 \end{vmatrix}$
Answer:
Given determinant: $\begin{vmatrix}2 &-1 &-2 \\0 &2 &-1 \\3 &-5 &0 \end{vmatrix}$,
We now calculate the determinant value:
$\begin{vmatrix}2 &-1 &-2 \\0 &2 &-1 \\3 &-5 &0 \end{vmatrix} =2\begin{vmatrix} 2 &-1 \\ -5 & 0 \end{vmatrix} -(-1)\begin{vmatrix} 0 &-1 \\ 3 & 0 \end{vmatrix}+(-2)\begin{vmatrix} 0 &2 \\ 3&-5 \end{vmatrix}$
$=2(0-5)+1(0+3)-2(0-6) = -10+3+12 = 5$
Question 6: If $A=\begin{bmatrix}1 & 1 & -2\\ 2& 1 &-3 \\5 &4 &-9 \end{bmatrix}$ , then find $|A|$.
Answer:
Given the matrix $A=\begin{bmatrix}1 & 1 & -2\\ 2& 1 &-3 \\5 &4 &-9 \end{bmatrix}$ then,
Finding the determinant value of A;
$|A| = 1\begin{vmatrix} 1 &-3 \\ 4& -9 \end{vmatrix} -1\begin{vmatrix} 2 &-3 \\ 5& -9 \end{vmatrix}-2\begin{vmatrix} 2 &1 \\ 5& 4 \end{vmatrix}$
$= 1(-9+12)-1(-18+15)-2(8-5) =3+3-6 =0$
Question 7(i): Find values of x, if
$\begin{vmatrix}2 &4 \\5 &1 \end{vmatrix} =\begin{vmatrix}2x &4 \\6 &x \end{vmatrix}$
Answer:
Given that $\begin{vmatrix}2 &4 \\5 &1 \end{vmatrix} =\begin{vmatrix}2x &4 \\6 &x \end{vmatrix}$
First, we solve the determinant value of L.H.S. and equate it to the determinant value of R.H.S.,
$\begin{vmatrix} 2 & 4 \\ 5 & 1 \end{vmatrix} = 2(1) - 4(5) = 2 - 20 = -18$ and $\begin{vmatrix} 2x & 4 \\ 6 & x \end{vmatrix} = 2x(x) - 4(6) = 2x^2 - 24$
So, we have then,
$-18= 2x^2-24$ or $3= x^2$ or $x= \pm \sqrt{3}$
Question 7(ii): Find values of x, if
$\begin{vmatrix}2 &3 \\ 4 &5 \end{vmatrix}=\begin{vmatrix}x &3 \\2x &5 \end{vmatrix}$
Answer:
Given $\begin{vmatrix}2 &3 \\ 4 &5 \end{vmatrix}=\begin{vmatrix}x &3 \\2x &5 \end{vmatrix}$;
So, we here equate both sides after calculating each side's determinant values.
L.H.S. determinant value;
$\begin{vmatrix} 2 & 3 \\ 4 & 5 \end{vmatrix} = 2(5) - 3(4) = 10 - 12 = -2$
Similarly R.H.S. determinant value;
$\begin{vmatrix}x &3 \\2x &5 \end{vmatrix} = 5(x) - 3(2x) = 5x - 6x =-x$
So, we have then;
$-2 = -x$ or $x =2$.
(A) $6$ (B) $\pm 6$ (C) $-6$ (D) $0$
Answer:
Solving the L.H.S. determinant ;
$\begin{vmatrix} x & 2 \\ 18 & x \end{vmatrix} = x(x) - 2(18) = x^2 - 36$
and solving R.H.S determinant;
$\begin{vmatrix} 6 &2 \\ 18 &6 \end{vmatrix} = 36-36 = 0$
So equating both sides;
$x^2 - 36 =0$ or $x^2 = 36$ or $x = \pm 6$
Hence answer is (B).
| Determinants Class 12 Chapter 4 Question Answers Exercise: 4.2 Page number: 83 Total Questions: 5 |
Question 1(i): Find area of the triangle with vertices at the point given in each of the following :
Answer:
We can find the area of the triangle with vertices $(1,0), (6,0), (4,3)$ by the following determinant relation:
$\triangle =\frac{1}{2} \begin{vmatrix} 1& 0 &1 \\ 6 & 0 &1 \\ 4& 3& 1 \end{vmatrix}$
Expanding using second column
$=\frac{1}{2} (-3) \begin{vmatrix} 1 &1 & \\ 6& 1 & \end{vmatrix}$
$= \frac{15}{2}\ square\ units.$
Question 1(ii): Find area of the triangle with vertices at the point given in each of the following :
Answer:
We can find the area of the triangle with given coordinates by the following method:
$\triangle = \begin{vmatrix} 2 &7 &1 \\ 1 & 1& 1\\ 10& 8 &1 \end{vmatrix}$
$=\frac{1}{2} \begin{vmatrix} 2 &7 &1 \\ 1 & 1& 1\\ 10& 8 &1 \end{vmatrix} = \frac{1}{2}\left [ 2(1-8)-7(1-10)+1(8-10) \right ]$
$= \frac{1}{2}\left [ 2(-7)-7(-9)+1(-2) \right ] = \frac{1}{2}\left [ -14+63-2 \right ] = \frac{47}{2}\ square\ units.$
Question 1(iii): Find area of the triangle with vertices at the point given in each of the following :
Answer:
Area of the triangle by the determinant method:
$Area\ \triangle = \frac{1}{2} \begin{vmatrix} -2 &-3 &1 \\ 3& 2 & 1\\ -1& -8 & 1 \end{vmatrix}$
$=\frac{1}{2}\left [ -2(2+8)+3(3+1)+1(-24+2) \right ]$
$=\frac{1}{2}\left [ -20+12-22 \right ] = \frac{1}{2}[-30]= -15$
Hence the area is equal to $|-15| = 15\ square\ units.$
Question 2: Show that points $A (a, b+c), B (b,c+a), C (c,a+b)$ are collinear.
Answer:
If the area formed by the points is equal to zero then we can say that the points are collinear.
So, we have an area of a triangle given by,
$\triangle = \frac{1}{2} \begin{vmatrix} a &b+c &1 \\ b& c+a &1 \\ c& a+b & 1 \end{vmatrix}$
calculating the area:
$= \frac{1}{2}\left [ a\begin{vmatrix} c+a &1 \\ a+b& 1 \end{vmatrix} - (b+c)\begin{vmatrix} b & 1\\ c&1 \end{vmatrix}+1\begin{vmatrix} b &c+a \\ c&a+b \end{vmatrix} \right ]$
$= \frac{1}{2}\left [ a(c+a-a-b) - (b+c)(b-c)+1(b(a+b)-c(c+a)) \right ]$
$= \frac{1}{2}\left [ ac-ab - b^2+c^2+ab+b^2-c^2-ac \right ] = \frac{1}{2} \left [ 0 \right] = 0$
Hence the area of the triangle formed by the points is equal to zero.
Therefore given points $A (a, b+c), B (b,c+a), C (c,a+b)$ are collinear.
Question 3(i): Find values of k if area of triangle is 4 sq. units and vertices are
Answer:
We can easily calculate the area by the formula :
$\triangle = \frac{1}{2} \begin{vmatrix} k &0 &1 \\ 4& 0& 1\\ 0 &2 & 1 \end{vmatrix} = 4\ sq.\ units$
$= \frac{1}{2}\left [ k\begin{vmatrix} 0 &1 \\ 2& 1 \end{vmatrix} -0\begin{vmatrix} 4 &1 \\ 0 & 1 \end{vmatrix}+1\begin{vmatrix} 4 &0 \\ 0& 2 \end{vmatrix} \right ]= 4\ sq.\ units$
$=\frac{1}{2}\left [ k(0-2)-0+1(8-0) \right ] = \frac{1}{2}\left [ -2k+8 \right ] = 4\ sq.\ units$
$\left [ -2k+8 \right ] = 8\ sq.\ units$ or $-2k +8 = \pm 8\ sq.\ units$
or $k = 0$ or $k = 8$
Hence two values are possible for k.
Question 3(ii): Find values of k if area of triangle is 4 sq. units and vertices are
Answer:
The area of the triangle is given by the formula:
$\triangle = \frac{1}{2} \begin{vmatrix} -2 &0 &1 \\ 0 & 4 & 1\\ 0& k & 1 \end{vmatrix} = 4\ sq.\ units.$
Now, calculating the area:
$= \frac{1}{2} \left | -2(4-k)-0(0-0)+1(0-0) \right | = \frac{1}{2} \left | -8+2k \right | = 4$
or $-8+2k =\pm 8$
Therefore we have two possible values of 'k' i.e., $k = 8$ or $k = 0$.
Question 4(i): Find equation of line joining $\small (1,2)$ and $\small (3,6)$ using determinants.
Answer:
As we know the line joining $\small (1,2)$ ,$\small (3,6)$ and let say a point on line $A\left ( x,y \right )$ will be collinear.
Therefore area formed by them will be equal to zero.
$\triangle = \frac{1}{2}\begin{vmatrix} 1 &2 &1 \\ 3& 6 &1 \\ x & y &1 \end{vmatrix} = 0$
So, we have:
$=1(6-y)-2(3-x)+1(3y-6x) = 0$
or $6-y-6+2x+3y-6x = 0 \Rightarrow 2y-4x=0$
Hence, we have the equation of line $\Rightarrow y=2x$.
Question 4(ii): Find equation of line joining $\small (3,1)$ and $\small (9,3)$ using determinants.
Answer:
We can find the equation of the line by considering any arbitrary point $A(x,y)$ on line.
So, we have three points which are collinear and therefore area surrounded by them will be equal to zero.
$\triangle = \frac{1}{2}\begin{vmatrix} 3 &1 &1 \\ 9& 3 & 1\\ x& y &1 \end{vmatrix} = 0$
Calculating the determinant:
$=\frac{1}{2}\left [ 3\begin{vmatrix} 3 &1 \\ y& 1 \end{vmatrix}-1\begin{vmatrix} 9 &1 \\ x& 1 \end{vmatrix}+1\begin{vmatrix} 9 &3 \\ x &y \end{vmatrix} \right ]$
$=\frac{1}{2}\left [ 3(3-y)-1(9-x)+1(9y-3x) \right ] = 0$
$\frac{1}{2}\left [ 9-3y-9+x+9y-3x \right ] = \frac{1}{2}[6y-2x] = 0$
Hence we have the line equation:
$3y= x$ or $x-3y = 0$.
Question 5: If the area of triangle is 35 sq units with vertices $\small (2,-6),(5,4)$ and $\small (k,4)$. Then k is
(A) $\small 12$ (B) $\small -2$ (C) $\small -12,-2$ (D) $\small 12,-2$
Answer:
Area of triangle is given by:
$\triangle = \frac{1}{2} \begin{vmatrix} 2 &-6 &1 \\ 5& 4 & 1\\ k& 4& 1 \end{vmatrix} = 35\ sq.\ units.$
or $\begin{vmatrix} 2 &-6 &1 \\ 5& 4 & 1\\ k& 4& 1 \end{vmatrix} = 70\ sq.\ units.$
$2\begin{vmatrix} 4 &1 \\ 4& 1 \end{vmatrix}-(-6)\begin{vmatrix} 5 &1 \\ k &1 \end{vmatrix}+1\begin{vmatrix} 5 &4 \\ k&4 \end{vmatrix} = 70$
$2(4-4) +6(5-k)+(20-4k) = \pm70$
$50-10k = \pm70$
$k = 12$ or $k = -2$
Hence the possible values of k are 12 and -2.
Therefore option (D) is correct.
| Determinants Class 12 Chapter 4 Question Answers Exercise: 4.3 Page number: 87 Total Questions: 5 |
Question 1(i): Write Minors and Cofactors of the elements of following determinants:
$\small \begin{vmatrix}2 &-4 \\0 &3 \end{vmatrix}$
Answer:
GIven determinant: $\begin{vmatrix}2 &-4 \\0 &3 \end{vmatrix}$
Minor of element $a_{ij}$ is $M_{ij}$.
Therefore we have
$M_{11}$ = minor of element $a_{11}$ = 3
$M_{12}$ = minor of element $a_{12}$ = 0
$M_{21}$ = minor of element $a_{21}$ = -4
$M_{22}$ = minor of element $a_{22}$ = 2
and finding cofactors of $a_{ij}$ is $A_{ij}$ = $(-1)^{i+j}M_{ij}$.
Therefore, we have:
$A_{11} = (-1)^{1+1}M_{11} = (-1)^2(3) = 3$
$A_{12} = (-1)^{1+2}M_{12} = (-1)^3(0) = 0$
$A_{21} = (-1)^{2+1}M_{21} = (-1)^3(-4) = 4$
$A_{22} = (-1)^{2+2}M_{22} = (-1)^4(2) = 2$
Question 1(ii): Write Minors and Cofactors of the elements of following determinants:
$\small \begin{vmatrix} a &c \\ b &d \end{vmatrix}$
Answer:
GIven determinant: $\begin{vmatrix} a &c \\ b &d \end{vmatrix}$
Minor of element $a_{ij}$ is $M_{ij}$.
Therefore we have
$M_{11}$ = minor of element $a_{11}$ = d
$M_{12}$ = minor of element $a_{12}$ = b
$M_{21}$ = minor of element $a_{21}$ = c
$M_{22}$ = minor of element $a_{22}$ = a
and finding cofactors of $a_{ij}$ is $A_{ij}$ = $(-1)^{i+j}M_{ij}$.
Therefore, we have:
$A_{11} = (-1)^{1+1}M_{11} = (-1)^2(d) = d$
$A_{12} = (-1)^{1+2}M_{12} = (-1)^3(b) = -b$
$A_{21} = (-1)^{2+1}M_{21} = (-1)^3(c) = -c$
$A_{22} = (-1)^{2+2}M_{22} = (-1)^4(a) = a$
Question 2(i): Write Minors and Cofactors of the elements of following determinants:
$\small \begin{vmatrix} 1 & 0 &0 \\ 0 &1 &0 \\ 0 &0 &1 \end{vmatrix}$
Answer:
Given determinant : $\begin{vmatrix} 1 & 0 &0 \\ 0 &1 &0 \\ 0 &0 &1 \end{vmatrix}$
Finding Minors: by the definition,
$M_{11} =$ minor of $a_{11} = \begin{vmatrix} 1 &0 \\ 0 &1 \end{vmatrix} = 1$ $M_{12} =$ minor of $a_{12} = \begin{vmatrix} 0 &0 \\ 0 &1 \end{vmatrix} = 0$
$M_{13} =$ minor of $a_{13} = \begin{vmatrix} 0 &1 \\ 0 &0 \end{vmatrix} = 0$ $M_{21} =$ minor of $a_{21} = \begin{vmatrix} 0 &0 \\ 0 &1 \end{vmatrix} = 0$
$M_{22} =$ minor of $a_{22} = \begin{vmatrix} 1 &0 \\ 0 &1 \end{vmatrix} = 1$ $M_{23} =$ minor of $a_{23} = \begin{vmatrix} 1 &0 \\ 0 &0 \end{vmatrix} = 0$
$M_{31} =$ minor of $a_{31} = \begin{vmatrix} 0 &0 \\ 1 &0 \end{vmatrix} = 0$ $M_{32} =$ minor of $a_{32} = \begin{vmatrix} 1 &0 \\ 0 &0 \end{vmatrix} = 0$
$M_{33} =$ minor of $a_{33} = \begin{vmatrix} 1 &0 \\ 0 &1 \end{vmatrix} = 1$
Finding the cofactors:
$A_{11}=$ cofactor of $a_{11} = (-1)^{1+1}M_{11} = 1$
$A_{12}=$ cofactor of $a_{12} = (-1)^{1+2}M_{12} = 0$
$A_{13}=$ cofactor of $a_{13} = (-1)^{1+3}M_{13} = 0$
$A_{21}=$ cofactor of $a_{21} = (-1)^{2+1}M_{21} = 0$
$A_{22}=$ cofactor of $a_{22} = (-1)^{2+2}M_{22} = 1$
$A_{23}=$ cofactor of $a_{23} = (-1)^{2+3}M_{23} = 0$
$A_{31}=$ cofactor of $a_{31} = (-1)^{3+1}M_{31} = 0$
$A_{32}=$ cofactor of $a_{32} = (-1)^{3+2}M_{32} = 0$
$A_{33}=$ cofactor of $a_{33} = (-1)^{3+3}M_{33} = 1$.
Question 2(ii): Write Minors and Cofactors of the elements of following determinants:
$\small \begin{vmatrix} 1 &0 &4 \\ 3 & 5 &-1 \\ 0 &1 &2 \end{vmatrix}$
Answer:
Given determinant : $\begin{vmatrix} 1 &0 &4 \\ 3 & 5 &-1 \\ 0 &1 &2 \end{vmatrix}$
Finding Minors: by the definition,
$M_{11} =$ minor of $a_{11} = \begin{vmatrix} 5 &-1 \\ 1 &2 \end{vmatrix} = 11$ $M_{12} =$ minor of $a_{12} = \begin{vmatrix} 3 &-1 \\ 0 &2 \end{vmatrix} = 6$
$M_{13} =$ minor of $a_{13} = \begin{vmatrix} 3 &5 \\ 0 &1 \end{vmatrix} = 3$ $M_{21} =$ minor of $a_{21} = \begin{vmatrix} 0 &4 \\ 1 &2 \end{vmatrix} = -4$
$M_{22} =$ minor of $a_{22} = \begin{vmatrix} 1 &4 \\ 0 &2 \end{vmatrix} = 2$ $M_{23} =$ minor of $a_{23} = \begin{vmatrix} 1 &0 \\ 0 &1 \end{vmatrix} = 1$
$M_{31} =$ minor of $a_{31} = \begin{vmatrix} 0 &4 \\ 5 &-1 \end{vmatrix} = -20$
$M_{32} =$ minor of $a_{32} = \begin{vmatrix} 1 &4 \\ 3 &-1 \end{vmatrix} = -1-12=-13$
$M_{33} =$ minor of $a_{33} = \begin{vmatrix} 1 &0 \\ 3 &5 \end{vmatrix} = 5$
Finding the cofactors:
$A_{11}=$ cofactor of $a_{11} = (-1)^{1+1}M_{11} = 11$
$A_{12}=$ cofactor of $a_{12} = (-1)^{1+2}M_{12} = -6$
$A_{13}=$ cofactor of $a_{13} = (-1)^{1+3}M_{13} = 3$
$A_{21}=$ cofactor of $a_{21} = (-1)^{2+1}M_{21} = 4$
$A_{22}=$ cofactor of $a_{22} = (-1)^{2+2}M_{22} = 2$
$A_{23}=$ cofactor of $a_{23} = (-1)^{2+3}M_{23} = -1$
$A_{31}=$ cofactor of $a_{31} = (-1)^{3+1}M_{31} = -20$
$A_{32}=$ cofactor of $a_{32} = (-1)^{3+2}M_{32} = 13$
$A_{33}=$ cofactor of $a_{33} = (-1)^{3+3}M_{33} = 5$.
Answer:
Given determinant : $\small \Delta =\begin{vmatrix} 5 &3 &8 \\ 2 & 0 & 1\\ 1 &2 &3 \end{vmatrix}$
First finding Minors of the second rows by the definition,
$M_{21} =$ minor of $a_{21} = \begin{vmatrix} 3 &8 \\ 2 &3 \end{vmatrix} =9-16 = -7$
$M_{22} =$ minor of $a_{22} = \begin{vmatrix} 5 &8 \\ 1 &3 \end{vmatrix} = 15-8=7$
$M_{23} =$ minor of $a_{23} = \begin{vmatrix} 5 &3 \\ 1 &2 \end{vmatrix} = 10-3 =7$
Finding the Cofactors of the second row:
$A_{21}=$ Cofactor of $a_{21} = (-1)^{2+1}M_{21} = 7$
$A_{22}=$ Cofactor of $a_{22} = (-1)^{2+2}M_{22} = 7$
$A_{23}=$ Cofactor of $a_{23} = (-1)^{2+3}M_{23} = -7$
Therefore we can calculate $\triangle$ by sum of the product of the elements of the second row with their corresponding cofactors.
Therefore we have,
$\triangle = a_{21}A_{21} + a_{22}A_{22} + a_{23}A_{23} = 2(7) +0(7) +1(-7) =14-7=7$
Answer:
Given determinant : $\small \Delta =\begin{vmatrix} 1 &x &yz \\ 1 &y &zx \\ 1 &z &xy \end{vmatrix}$
First finding Minors of the third column by the definition,
$M_{13} =$ minor of $a_{13} = \begin{vmatrix} 1 &y \\ 1 &z \end{vmatrix} =z-y$
$M_{23} =$ minor of $a_{23} = \begin{vmatrix} 1 &x \\ 1 &z \end{vmatrix} = z-x$
$M_{33} =$ minor of $a_{33} = \begin{vmatrix} 1 &x \\ 1 &y \end{vmatrix} =y-x$
Finding the Cofactors of the second row:
$A_{13}=$ Cofactor of $a_{13} = (-1)^{1+3}M_{13} = z-y$
$A_{23}=$ Cofactor of $a_{23} = (-1)^{2+3}M_{23} = x-z$
$A_{33}=$ Cofactor of $a_{33} = (-1)^{3+3}M_{33} = y-x$
Therefore we can calculate $\triangle$ by sum of the product of the elements of the third column with their corresponding cofactors.
Therefore we have,
$\triangle = a_{13}A_{13} + a_{23}A_{23} + a_{33}A_{33}$
$= (z-y)yz + (x-z)zx +(y-x)xy$
$=yz^2-y^2z + zx^2-xz^2 + xy^2-x^2y$
$=z(x^2-y^2) + z^2(y-x) +xy(y-x)$
$= (x-y) \left [ zx+zy-z^2-xy \right ]$
$=(x-y)\left [ z(x-z) +y(z-x) \right ]$
$= (x-y)(z-x)[-z+y]$
$= (x-y)(y-z)(z-x)$
Thus, we have value of $\triangle = (x-y)(y-z)(z-x)$.
Question 5: If $\Delta = \begin{vmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{vmatrix}$ and $A_{ij}$ is the cofactor of $a_{ij}$, then the value of $\Delta$ is given by:
(A) $a_{11}A_{31} + a_{12}A_{32} + a_{13}A_{33}$
(B) $a_{11}A_{11} + a_{12}A_{21} + a_{13}A_{31}$
(C) $a_{21}A_{11} + a_{22}A_{12} + a_{23}A_{13}$
(D) $a_{11}A_{11} + a_{21}A_{21} + a_{31}A_{31}$
Answer: (D) $a_{11}A_{11} + a_{21}A_{21} + a_{31}A_{31}$
By the definition itself, $\Delta$ is equal to the sum of the products of the elements of any row or column with their corresponding cofactors.
| Determinants Class 12 Chapter 4 Question Answers Exercise: 4.4 Page number: 92-93 Total Questions: 18 |
Question 1: Find adjoint of each of the matrices.
$\small \begin{bmatrix} 1 &2 \\ 3 & 4 \end{bmatrix}$
Answer:
Given matrix: $\small \begin{bmatrix} 1 &2 \\ 3 & 4 \end{bmatrix}= A$
Then we have,
$A_{11} = 4, A_{12}=-(1)3, A_{21} = -(1)2,\ and\ A_{22}= 1$
Hence we get:
$adjA = \begin{bmatrix} A_{11} & A_{12} \\ A_{21} &A_{22} \end{bmatrix}^T = \begin{bmatrix} A_{11} & A_{21} \\ A_{12} &A_{22} \end{bmatrix} = \begin{bmatrix} 4 & -2 \\ -3 &1 \end{bmatrix}$
Question 2: Find adjoint of each of the matrices
$\small \begin{bmatrix} 1 &-1 &2 \\ 2 & 3 &5 \\ -2 & 0 &1 \end{bmatrix}$
Answer:
Given the matrix: $\small A = \begin{bmatrix} 1 &-1 &2 \\ 2 & 3 &5 \\ -2 & 0 &1 \end{bmatrix}$
Then we have,
$A_{11} = (-1)^{1+1}\begin{vmatrix} 3 &5 \\ 0& 1 \end{vmatrix} =(3-0)= 3$
$A_{12} = (-1)^{1+2}\begin{vmatrix} 2 &5 \\ -2& 1 \end{vmatrix} =-(2+10)= -12$
$A_{13} = (-1)^{1+3}\begin{vmatrix} 2 &3 \\ -2& 0 \end{vmatrix} =0+6= 6$
$A_{21} = (-1)^{2+1}\begin{vmatrix} -1 &2 \\ 0& 1 \end{vmatrix} =-(-1-0)= 1$
$A_{22} = (-1)^{2+2}\begin{vmatrix} 1 &2 \\ -2& 1 \end{vmatrix} =(1+4)= 5$
$A_{23} = (-1)^{2+3}\begin{vmatrix} 1 &-1 \\-2& 0 \end{vmatrix} =-(0-2)= 2$
$A_{31} = (-1)^{3+1}\begin{vmatrix} -1 &2 \\ 3& 5 \end{vmatrix} =(-5-6)= -11$
$A_{32} = (-1)^{3+2}\begin{vmatrix} 1 &2 \\2& 5\end{vmatrix} =-(5-4)= -1$
$A_{33} = (-1)^{3+3}\begin{vmatrix} 1 &-1 \\ 2& 3 \end{vmatrix} =(3+2)= 5$
Hence we get:
$adjA = \begin{bmatrix} A_{11} &A_{21} &A_{31} \\ A_{12}&A_{22} &A_{32} \\ A_{13}&A_{23} &A_{33} \end{bmatrix} = \begin{bmatrix} 3 &1 &-11 \\ -12&5 &-1 \\ 6&2 &5 \end{bmatrix}$
Question 3: Verify $\small A (adj A)=(adj A)A=|A|I$.
$\small \begin{bmatrix} 2 &3 \\ -4 & -6 \end{bmatrix}$
Answer:
Given the matrix: $\small \begin{bmatrix} 2 &3 \\ -4 & -6 \end{bmatrix}$
Let $\small A = \begin{bmatrix} 2 &3 \\ -4 & -6 \end{bmatrix}$
Calculating the cofactors;
$\small A_{11} = (-1)^{1+1}(-6) = -6$
$\small A_{12} = (-1)^{1+2}(-4) = 4$
$\small A_{21} = (-1)^{2+1}(3) = -3$
$\small A_{22} = (-1)^{2+2}(2) = 2$
Hence, $\small adjA = \begin{bmatrix} -6 &-3 \\ 4& 2 \end{bmatrix}$
Now,
$\small A (adj A) = \begin{bmatrix} 2 &3 \\ -4&-6 \end{bmatrix}\left ( \begin{bmatrix} -6 &-3 \\ 4 &2 \end{bmatrix} \right )$
$\small \begin{bmatrix} -12+12 &-6+6 \\ 24-24 & 12-12 \end{bmatrix} = \begin{bmatrix} 0 &0 \\ 0 & 0 \end{bmatrix}$
aslo,
$\small (adjA)A = \begin{bmatrix} -6 &-3 \\ 4 & 2 \end{bmatrix}\begin{bmatrix} 2 &3 \\ -4& -6 \end{bmatrix}$
$\small = \begin{bmatrix} -12+12 &-18+18 \\ 8-8 & 12-12 \end{bmatrix} = \begin{bmatrix} 0 &0 \\ 0& 0 \end{bmatrix}$
Now, calculating |A|;
$\small |A| = -12-(-12) = -12+12 = 0$
So, $\small |A|I = 0\begin{bmatrix} 1 &0 \\ 0& 1 \end{bmatrix} = \begin{bmatrix} 0 &0 \\ 0& 0 \end{bmatrix}$
Hence we get
$\small A (adj A)=(adj A)A=|A|I$
Question 4: Verify $\small A (adj A)=(adjA)A=|A| I$.
$\small \begin{bmatrix} 1 &-1 & 2\\ 3 &0 &-2 \\ 1 & 0 &3 \end{bmatrix}$
Answer:
Given matrix: $\small \begin{bmatrix} 1 &-1 & 2\\ 3 &0 &-2 \\ 1 & 0 &3 \end{bmatrix}$
Let $\small A= \begin{bmatrix} 1 &-1 & 2\\ 3 &0 &-2 \\ 1 & 0 &3 \end{bmatrix}$
Calculating the cofactors;
$\small A_{11} = (-1)^{1+1} \begin{vmatrix} 0 &-2 \\ 0& 3 \end{vmatrix} = 0$
$\small A_{12} = (-1)^{1+2} \begin{vmatrix} 3 &-2 \\1& 3 \end{vmatrix} = -(9+2) =-11$
$\small A_{13} = (-1)^{1+3} \begin{vmatrix} 3 &0 \\ 1& 0 \end{vmatrix} = 0$
$\small A_{21} = (-1)^{2+1} \begin{vmatrix} -1 &2 \\ 0& 3 \end{vmatrix} = -(-3-0)= 3$
$\small A_{22} = (-1)^{2+2} \begin{vmatrix} 1 &2 \\ 1& 3 \end{vmatrix} = 3-2=1$
$\small A_{23} = (-1)^{2+3} \begin{vmatrix} 1 &-1 \\ 1& 0 \end{vmatrix} = -(0+1) = -1$
$\small A_{31} = (-1)^{3+1} \begin{vmatrix} -1 &2 \\ 0& -2 \end{vmatrix} = 2$
$\small A_{32} = (-1)^{3+2} \begin{vmatrix} 1 &2 \\ 3& -2 \end{vmatrix} = -(-2-6) = 8$
$\small A_{33} = (-1)^{3+3} \begin{vmatrix} 1 &-1 \\ 3& 0 \end{vmatrix} = 0+3 =3$
Hence, $\small adjA = \begin{bmatrix} 0 &3 &2 \\ -11 & 1& 8\\ 0 &-1 & 3 \end{bmatrix}$
Now,
$\small A (adj A) =\begin{bmatrix} 1 &-1 &2 \\ 3& 0 & -2\\ 1 & 0 & 3 \end{bmatrix}\begin{bmatrix} 0 &3 &2 \\ -11& 1& 8\\ 0& -1 &3 \end{bmatrix}$
$\small =\begin{bmatrix} 0+11+0 &3-1-2 &2-8+6 \\ 0+0+0 & 9+0+2 & 6+0-6 \\ 0+0+0 &3+0-3 & 2+0+9 \end{bmatrix} = \begin{bmatrix} 11 & 0 &0 \\ 0& 11&0 \\ 0 & 0 & 11 \end{bmatrix}$
also,
$\small A (adj A) =\begin{bmatrix} 0 &3 &2 \\ -11& 1& 8\\ 0& -1 &3 \end{bmatrix}\begin{bmatrix} 1 &-1 &2 \\ 3& 0 & -2\\ 1 & 0 & 3 \end{bmatrix}$
$\small =\begin{bmatrix} 0+9+2 &0+0+0 &0-6+6 \\ -11+3+8 & 11+0+0 & -22-2+24 \\ 0-3+3 &0+0+0 & 0+2+9 \end{bmatrix} = \begin{bmatrix} 11 & 0 &0 \\ 0& 11&0 \\ 0 & 0 & 11 \end{bmatrix}$
Now, calculating |A|;
$\small |A| = 1(0-0) +1(9+2) +2(0-0) = 11$
So, $\small |A|I = 11\begin{bmatrix} 1 &0&0 \\ 0& 1&0 \\ 0&0&1 \end{bmatrix} = \begin{bmatrix} 11 &0&0 \\ 0& 11&0\\ 0&0&11 \end{bmatrix}$
Hence we get,
$\small A (adj A)=(adj A)A=|A|I$.
Question:5 Find the inverse of each of the matrices (if it exists).
$\small \begin{bmatrix} 2 &-2 \\ 4 & 3 \end{bmatrix}$
Answer:
Given matrix : $\small \begin{bmatrix} 2 &-2 \\ 4 & 3 \end{bmatrix}$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
|A| = (6+8) = 14
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (3) = 3$
$A_{12} = (-1)^{1+2} (4) = -4$
$A_{21} = (-1)^{2+1} (-2) = 2$
$A_{22} = (-1)^{2+2} (2) = 2$
So, we have $adjA = \begin{bmatrix} 3 &2 \\ -4& 2 \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$= \frac{1}{14}\begin{bmatrix} 3 &2 \\ -4& 2 \end{bmatrix} = \begin{bmatrix} \frac{3}{14} &\frac{1}{7} \\ \\ \frac{-2}{7} & \frac{1}{7} \end{bmatrix}$
Question:6 Find the inverse of each of the matrices (if it exists).
$\small \begin{bmatrix} -1 &5 \\ -3 &2 \end{bmatrix}$
Answer:
Given the matrix : $\small \begin{bmatrix} -1 &5 \\ -3 &2 \end{bmatrix} = A$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
|A| = (-2+15) = 13
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (2) = 2$
$A_{12} = (-1)^{1+2} (-3) = 3$
$A_{21} = (-1)^{2+1} (5) =-5$
$A_{22} = (-1)^{2+2} (-1) = -1$
So, we have $adjA = \begin{bmatrix} 2 &-5 \\ 3& -1 \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$= \frac{1}{13}\begin{bmatrix} 2 &-5 \\ 3& -1 \end{bmatrix} = \begin{bmatrix} \frac{2}{13} &\frac{-5}{13} \\ \\ \frac{3}{13} & \frac{-1}{13} \end{bmatrix}$
Question:7 Find the inverse of each of the matrices (if it exists).
$\small \begin{bmatrix} 1 &2 &3 \\ 0 &2 &4 \\ 0 &0 &5 \end{bmatrix}$
Answer:
Given the matrix : $\small \begin{bmatrix} 1 &2 &3 \\ 0 &2 &4 \\ 0 &0 &5 \end{bmatrix}= A$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
$|A| = 1(10-0)-2(0-0)+3(0-0) = 10$
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (10) = 10$ $A_{12} = (-1)^{1+2} (0) = 0$
$A_{13} = (-1)^{1+3} (0) =0$ $A_{21} = (-1)^{2+1} (10) = -10$
$A_{22} = (-1)^{2+2} (5-0) = 5$ $A_{23} = (-1)^{2+1} (0-0) = 0$
$A_{31} = (-1)^{3+1} (8-6) = 2$ $A_{32} = (-1)^{3+2} (4-0) =-4$
$A_{33} = (-1)^{3+3} (2-0) = 2$
So, we have $adjA = \begin{bmatrix} 10 &-10 &2 \\ 0& 5 &-4 \\ 0& 0 &2 \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$= \frac{1}{10}\begin{bmatrix} 10 &-10 &2 \\ 0 & 5& -4\\ 0 &0 &2 \end{bmatrix}$
Question:8 Find the inverse of each of the matrices (if it exists).
$\small \begin{bmatrix} 1 &0 &0 \\ 3 &3 &0 \\ 5 &2 &-1 \end{bmatrix}$
Answer:
Given the matrix : $\small \begin{bmatrix} 1 &0 &0 \\ 3 &3 &0 \\ 5 &2 &-1 \end{bmatrix} = A$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
$|A| = 1(-3-0)-0(-3-0)+0(6-15) = -3$
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (-3-0) = -3$ $A_{12} = (-1)^{1+2} (-3-0) = 3$
$A_{13} = (-1)^{1+3} (6-15) =-9$ $A_{21} = (-1)^{2+1} (0-0) = 0$
$A_{22} = (-1)^{2+2} (-1-0) = -1$ $A_{23} = (-1)^{2+1} (2-0) = -2$
$A_{31} = (-1)^{3+1} (0-0) = 0$ $A_{32} = (-1)^{3+2} (0-0) =0$
$A_{33} = (-1)^{3+3} (3-0) = 3$
So, we have $adjA = \begin{bmatrix} -3 &0 &0 \\ 3& -1 &0 \\ -9& -2 &3 \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$= \frac{-1}{3}\begin{bmatrix} -3 &0 &0 \\ 3 & -1& 0\\ -9 &-2 &3 \end{bmatrix}$
Question:9 Find the inverse of each of the matrices (if it exists).
$\small \begin{bmatrix} 2 &1 &3 \\ 4 &-1 &0 \\ -7 &2 &1 \end{bmatrix}$
Answer:
Given the matrix : $\small \begin{bmatrix} 2 &1 &3 \\ 4 &-1 &0 \\ -7 &2 &1 \end{bmatrix} =A$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
$|A| = 2(-1-0)-1(4-0)+3(8-7) =-2-4+3 = -3$
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (-1-0) = -1$ $A_{12} = (-1)^{1+2} (4-0) = -4$
$A_{13} = (-1)^{1+3} (8-7) =1$ $A_{21} = (-1)^{2+1} (1-6) = 5$
$A_{22} = (-1)^{2+2} (2+21) = 23$ $A_{23} = (-1)^{2+1} (4+7) = -11$
$A_{31} = (-1)^{3+1} (0+3) = 3$ $A_{32} = (-1)^{3+2} (0-12) =12$
$A_{33} = (-1)^{3+3} (-2-4) = -6$
So, we have $adjA = \begin{bmatrix} -1 &5 &3 \\ -4& 23 &12 \\ 1& -11 &-6 \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$A^{-1} = \frac{1}{-3} \begin{bmatrix} -1 &5 &3 \\ -4& 23 &12 \\ 1& -11 &-6 \end{bmatrix}$
Question:10 Find the inverse of each of the matrices (if it exists).
$\small \begin{bmatrix} 1 & -1 & 2\\ 0 & 2 &-3 \\ 3 &-2 &4 \end{bmatrix}$
Answer:
Given the matrix : $\small \begin{bmatrix} 1 & -1 & 2\\ 0 & 2 &-3 \\ 3 &-2 &4 \end{bmatrix} = A$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
$|A| = 1(8-6)+1(0+9)+2(0-6) =2+9-12 = -1$
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (8-6) = 2$ $A_{12} = (-1)^{1+2} (0+9) = -9$
$A_{13} = (-1)^{1+3} (0-6) =-6$ $A_{21} = (-1)^{2+1} (-4+4) = 0$
$A_{22} = (-1)^{2+2} (4-6) = -2$ $A_{23} = (-1)^{2+1} (-2+3) = -1$
$A_{31} = (-1)^{3+1} (3-4) = -1$ $A_{32} = (-1)^{3+2} (-3-0) =3$
$A_{33} = (-1)^{3+3} (2-0) = 2$
So, we have $adjA = \begin{bmatrix} 2 &0 &-1 \\ -9& -2 &3 \\ -6& -1 &2 \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$A^{-1} = \frac{1}{-1} \begin{bmatrix} 2 &0 &-1 \\ -9& -2 &3 \\ -6& -1 &2 \end{bmatrix}$
$A^{-1} = \begin{bmatrix} -2 &0 &1 \\ 9& 2 &-3 \\ 6& 1 &-2 \end{bmatrix}$
Question:11 Find the inverse of each of the matrices (if it exists).
Answer:
Given the matrix : $\small \begin{bmatrix} 1 & 0&0 \\ 0 &\cos \alpha &\sin \alpha \\ 0 &\sin \alpha &-\cos \alpha \end{bmatrix} =A$
To find the inverse we have to first find adjA then as we know the relation:
$A^{-1} = \frac{1}{|A|}adjA$
So, calculating |A| :
$|A| = 1(-\cos^2 \alpha-\sin^2 \alpha)+0(0-0)+0(0-0)$
$=-(\cos^2 \alpha + \sin^2 \alpha) = -1$
Now, calculating the cofactors terms and then adjA.
$A_{11} = (-1)^{1+1} (-\cos^2 \alpha - \sin^2 \alpha) = -1$ $A_{12} = (-1)^{1+2} (0-0) = 0$
$A_{13} = (-1)^{1+3} (0-0) =0$ $A_{21} = (-1)^{2+1} (0-0) = 0$
$A_{22} = (-1)^{2+2} (-\cos \alpha-0) = -\cos \alpha$ $A_{23} = (-1)^{2+1} (\sin \alpha-0) = -\sin \alpha$
$A_{31} = (-1)^{3+1} (0-0) = 0$ $A_{32} = (-1)^{3+2} (\sin \alpha-0) =-\sin \alpha$
$A_{33} = (-1)^{3+3} (\cos \alpha - 0) = \cos \alpha$
So, we have $adjA = \begin{bmatrix} -1 &0 &0 \\ 0& -\cos \alpha &-\sin \alpha \\ 0& -\sin \alpha &\cos \alpha \end{bmatrix}$
Therefore inverse of A will be:
$A^{-1} = \frac{1}{|A|}adjA$
$A^{-1} = \frac{1}{-1}\begin{bmatrix} -1 &0 &0 \\ 0& -\cos \alpha &-\sin \alpha \\ 0& -\sin \alpha &\cos \alpha \end{bmatrix} = \begin{bmatrix}1 &0 &0 \\ 0&\cos \alpha &\sin \alpha \\ 0& \sin \alpha &-\cos \alpha \end{bmatrix}$
Answer:
We have $\small A=\begin{bmatrix} 3 &7 \\ 2 & 5 \end{bmatrix}$ and $\small B=\begin{bmatrix} 6 &8 \\ 7 & 9 \end{bmatrix}$.
then calculating;
$AB = \begin{bmatrix} 3 &7 \\ 2& 5 \end{bmatrix}\begin{bmatrix} 6 &8 \\ 7& 9 \end{bmatrix}$
$=\begin{bmatrix} 18+49 &24+63 \\ 12+35 & 16+45 \end{bmatrix} = \begin{bmatrix} 67 &87 \\ 47& 61 \end{bmatrix}$
Finding the inverse of AB.
Calculating the cofactors fo AB:
$AB_{11}=(-1)^{1+1}(61) = 61$ $AB_{12}=(-1)^{1+2}(47) = -47$
$AB_{21}=(-1)^{2+1}(87) = -87$ $AB_{22}=(-1)^{2+2}(67) = 67$
Then we have adj(AB):
$adj(AB) = \begin{bmatrix} 61 &-87 \\ -47& 67 \end{bmatrix}$
and |AB| = 61(67) - (-87)(-47) = 4087-4089 = -2
Therefore we have inverse:
$(AB)^{-1}=\frac{1}{|AB|}adj(AB) = -\frac{1}{2} \begin{bmatrix} 61 &-87 \\ -47 & 67 \end{bmatrix}$
$= \begin{bmatrix} \frac{-61}{2} &\frac{87}{2} \\ \\ \frac{47}{2} & \frac{-67}{2} \end{bmatrix}$ .....................................(1)
Now, calculating inverses of A and B.
|A| = 15-14 = 1 and |B| = 54- 56 = -2
$adjA = \begin{bmatrix} 5 &-7 \\ -2 & 3 \end{bmatrix}$ and $adjB = \begin{bmatrix} 9 &-8 \\ -7 & 6 \end{bmatrix}$
therefore we have
$A^{-1} = \frac{1}{|A|}adjA= \frac{1}{1} \begin{bmatrix} 5&-7 \\ -2& 3 \end{bmatrix}$ and $B^{-1} = \frac{1}{|B|}adjB= \frac{1}{-2} \begin{bmatrix} 9&-8 \\ -7& 6 \end{bmatrix}= \begin{bmatrix} \frac{-9}{2} & 4 \\ \\ \frac{7}{2} & -3 \end{bmatrix}$
Now calculating$B^{-1}A^{-1}$.
$B^{-1}A^{-1} =\begin{bmatrix} \frac{-9}{2} & 4 \\ \\ \frac{7}{2} & -3 \end{bmatrix}\begin{bmatrix} 5&-7 \\ -2& 3 \end{bmatrix}$
$=\begin{bmatrix} \frac{-45}{2}-8 && \frac{63}{2}+12 \\ \\ \frac{35}{2}+6 && \frac{-49}{2}-9 \end{bmatrix} = \begin{bmatrix} \frac{-61}{2} && \frac{87}{2} \\ \\ \frac{47}{2} && \frac{-67}{2} \end{bmatrix}$........................(2)
From (1) and (2) we get
$\small (AB)^{-1} = B^{-1}A^{-1}$
Hence proved.
Question:13 If $\small A=\begin{bmatrix} 3 &1 \\ -1 &2 \end{bmatrix}$? , show that $A^2-5A+7I=O$. Hence find $A^{-1}$.
Answer:
Given $\small A=\begin{bmatrix} 3 &1 \\ -1 &2 \end{bmatrix}$ then we have to show the relation $A^2-5A+7I=0$
So, calculating each term;
$A^2 = \begin{bmatrix} 3& 1\\ -1& 2 \end{bmatrix}\begin{bmatrix} 3&1 \\ -1& 2 \end{bmatrix} = \begin{bmatrix} 9-1 &3+2 \\ -3-2&-1+4 \end{bmatrix} = \begin{bmatrix} 8 &5 \\ -5& 3 \end{bmatrix}$
therefore $A^2-5A+7I$;
$=\begin{bmatrix} 8 &5 \\ -5& 3 \end{bmatrix} - 5\begin{bmatrix} 3 &1 \\ -1& 2 \end{bmatrix} + 7 \begin{bmatrix} 1 &0 \\ 0 & 1 \end{bmatrix}$
$=\begin{bmatrix} 8 &5 \\ -5& 3 \end{bmatrix} - \begin{bmatrix} 15 &5 \\ -5& 10 \end{bmatrix} + \begin{bmatrix} 7 &0 \\ 0 & 7 \end{bmatrix}$
$\begin{bmatrix} 8-15+7 &&5-5+0 \\ -5+5+0 && 3-10+7 \end{bmatrix} = \begin{bmatrix} 0 &&0 \\ 0 && 0 \end{bmatrix}$
Hence $A^2-5A+7I = 0$.
$\therefore A.A -5A = -7I$
$\Rightarrow A.A(A^{-1}) - 5AA^{-1} = -7IA^{-1}$
[Post multiplying by $A^{-1}$, also $|A| \neq 0$]
$\Rightarrow A(AA^{-1}) - 5I = -7A^{-1}$
$\Rightarrow AI - 5I = -7A^{-1}$
$\Rightarrow -\frac{1}{7}(AI - 5I)= \frac{1}{7}(5I-A)$
$\therefore A^{-1} = \frac{1}{7}(5\begin{bmatrix} 1 &0 \\ 0& 1 \end{bmatrix}-\begin{bmatrix} 3 &1 \\ -1& 2 \end{bmatrix}) = \frac{1}{7}\begin{bmatrix} 2 &-1 \\ 1& 3 \end{bmatrix}$
Answer:
Given $\small A=\begin{bmatrix} 3 &2 \\ 1 & 1 \end{bmatrix}$ then we have the relation $A^2+aA+bI=O$
So, calculating each term;
$A^2 = \begin{bmatrix} 3& 2\\ 1& 1 \end{bmatrix}\begin{bmatrix} 3&2 \\ 1& 1 \end{bmatrix} = \begin{bmatrix} 9+2 &6+2 \\ 3+1&2+1 \end{bmatrix} = \begin{bmatrix} 11 &8 \\ 4& 3 \end{bmatrix}$
therefore $A^2+aA+bI=O$;
$=\begin{bmatrix}11 &8 \\ 4& 3 \end{bmatrix} + a\begin{bmatrix} 3 &2 \\ 1& 1 \end{bmatrix} + b \begin{bmatrix} 1 &0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 0 &0 \\ 0& 0 \end{bmatrix}$
$\begin{bmatrix} 11+3a+b & 8+2a \\ 4+a & 3+a+b \end{bmatrix} = \begin{bmatrix} 0 &0 \\ 0 & 0 \end{bmatrix}$
So, we have equations;
$11+3a+b = 0,\ 8+2a = 0$ and $4+a = 0,and\ \ 3+a+b = 0$
We get $a = -4\ and\ b= 1$.
Answer:
Given matrix: $\small A=\begin{bmatrix} 1 &1 &1 \\ 1 &2 &-3 \\ 2 &-1 &3 \end{bmatrix}$;
To show: $\small A^3-6A^2+5A+11I=O$
Finding each term:
$A^{2} = \begin{bmatrix} 1 & 1& 1\\ 1 & 2& -3\\ 2& -1 & 3 \end{bmatrix} \begin{bmatrix} 1 & 1& 1\\ 1 & 2& -3\\ 2& -1 & 3 \end{bmatrix}$
$= \begin{bmatrix} 1+1+2 &&1+2-1 &&1-3+3 \\ 1+2-6 &&1+4+3 &&1-6-9 \\ 2-1+6 &&2-2-3 && 2+3+9 \end{bmatrix}$
$= \begin{bmatrix} 4 &&2 &&1 \\ -3 &&8 &&-14 \\ 7 &&-3 && 14 \end{bmatrix}$
$A^{3} = \begin{bmatrix} 4 &&2 &&1 \\ -3 &&8 &&-14 \\ 7 &&-3 && 14 \end{bmatrix}\begin{bmatrix} 1 &1 &1 \\ 1 &2 &-3 \\ 2 &-1 &3 \end{bmatrix}$
$= \begin{bmatrix} 4+2+2 &4+4-1 &4-6+3 \\ -3+8-28 &-3+16+14 & -3-24-42 \\ 7-3+28&7-6-14 &7+9+42 \end{bmatrix}$
$= \begin{bmatrix} 8 &7 &1 \\ -23 &27 & -69 \\ 32&-13 &58 \end{bmatrix}$
So now we have, $\small A^3-6A^2+5A+11I$
$= \begin{bmatrix} 8 &7 &1 \\ -23 &27 & -69 \\ 32&-13 &58 \end{bmatrix}-6\begin{bmatrix} 4 &&2 &&1 \\ -3 &&8 &&-14 \\ 7 &&-3 && 14 \end{bmatrix}+5\begin{bmatrix} 1 &1 &1 \\ 1 &2 &-3 \\ 2 &-1 &3 \end{bmatrix}+11\begin{bmatrix} 1 &0 &0 \\ 0 &1 & 0\\ 0& 0& 1 \end{bmatrix}$
$= \begin{bmatrix} 8 &7 &1 \\ -23 &27 & -69 \\ 32&-13 &58 \end{bmatrix}-\begin{bmatrix} 24 &&12 &&6 \\ -18 &&48 &&-84 \\ 42 &&-18 && 84 \end{bmatrix}+\begin{bmatrix} 5 &5 &5 \\ 5 &10 &-15 \\ 10 &-5 &15 \end{bmatrix}+\begin{bmatrix} 11 &0 &0 \\ 0 &11 & 0\\ 0& 0& 11 \end{bmatrix}$
$= \begin{bmatrix} 8-24+5+11 &7-12+5 &1-6+5 \\ -23+18+5&27-48+10+11 &-69+84-15 \\ 32-42+10&-13+18-5 & 58-84+15+11 \end{bmatrix}$
$= \begin{bmatrix} 0 &0 &0 \\ 0&0 &0 \\ 0&0 & 0 \end{bmatrix} = 0$
Now finding the inverse of A;
Post-multiplying by $A^{-1}$ as, $|A| \neq 0$
$\Rightarrow (AAA)A^{-1}-6(AA)A^{-1} +5AA^{-1}+11IA^{-1} = 0$
$\Rightarrow AA(AA^{-1})-6A(AA^{-1}) +5(AA^{-1})=- 11IA^{-1}$
$\Rightarrow A^{2}-6A +5I=- 11A^{-1}$
$A^{-1} = \frac{-1}{11}(A^{2}-6A+5I)$ ...................(1)
Now,
From equation (1) we get;
$A^{-1} = \frac{-1}{11}( \begin{bmatrix} 4 &&2 &&1 \\ -3 &&8 &&-14 \\ 7 &&-3 && 14 \end{bmatrix}-6\begin{bmatrix} 1 &1 &1 \\ 1 &2 &-3 \\ 2 &-1 &3 \end{bmatrix}+5\begin{bmatrix} 1 & 0& 0\\ 0&1 &0 \\ 0& 0&1 \end{bmatrix})$
$A^{-1} = \frac{-1}{11}( \begin{bmatrix} 4-6+5 &&2-6 &&1-6 \\ -3-6 &&8-12+5 &&-14+18 \\ 7-12 &&-3+6 && 14-18+5 \end{bmatrix}$
$A^{-1} = \frac{-1}{11}( \begin{bmatrix} 3 &&-4 &&-5 \\ -9 &&1 &&4 \\ -5 &&3 && 1 \end{bmatrix}$
Answer:
Given matrix: $\small A=\begin{bmatrix} 2 &-1 &1 \\ -1 &2 &-1 \\ 1 &-1 &2 \end{bmatrix}$;
To show: $\small A^3-6A^2+9A-4I$
Finding each term:
$A^{2} = \begin{bmatrix} 2 &-1 &1 \\ -1 &2 &-1 \\ 1 &-1 &2 \end{bmatrix}\begin{bmatrix} 2 &-1 &1 \\ -1 &2 &-1 \\ 1 &-1 &2 \end{bmatrix}$
$= \begin{bmatrix} 4+1+1 &&-2-2-1 &&2+1+2 \\ -2-2-1 &&1+4+1 &&-1-2-2 \\ 2+1+2 &&-1-2-2 && 1+1+4 \end{bmatrix}$
$= \begin{bmatrix} 6 &&-5 &&5 \\ -5 &&6 &&-5 \\ 5 &&-5 && 6 \end{bmatrix}$
$A^{3} =\begin{bmatrix} 6 &&-5 &&5 \\ -5 &&6 &&-5 \\ 5 &&-5 && 6 \end{bmatrix}\begin{bmatrix} 2 &-1 &1 \\ -1 &2 &-1 \\ 1 &-1 &2 \end{bmatrix}$
$= \begin{bmatrix} 12+5+5 &-6-10-5 &6+5+10 \\ -10-6-5 &5+12+5 & -5-6-10 \\ 10+5+6&-5-10-6 &5+5+12 \end{bmatrix}$
$= \begin{bmatrix} 22 &-21 &21 \\ -21 &22 & -21 \\ 21&-21 &22 \end{bmatrix}$
So now we have, $\small A^3-6A^2+9A-4I$
$=\begin{bmatrix} 22 &-21 &21 \\ -21 &22 & -21 \\ 21&-21 &22 \end{bmatrix}-6 \begin{bmatrix} 6 &&-5 &&5 \\ -5 &&6 &&-5 \\ 5 &&-5 && 6 \end{bmatrix}+9\begin{bmatrix} 2 &-1 &1 \\ -1 &2 &-1 \\ 1 &-1 &2 \end{bmatrix}-4\begin{bmatrix} 1 &0 &0 \\ 0 &1 & 0\\ 0& 0& 1 \end{bmatrix}$
$=\begin{bmatrix} 22 &-21 &21 \\ -21 &22 & -21 \\ 21&-21 &22 \end{bmatrix}- \begin{bmatrix} 36 &&-30 &&30 \\ -30 &&36 &&-30 \\30 &&-30 && 36 \end{bmatrix}+\begin{bmatrix} 18 &-9 &9 \\ -9 &18 &-9 \\ 9 &-9 &18 \end{bmatrix}-\begin{bmatrix} 4 &0 &0 \\ 0 &4 & 0\\ 0& 0& 4 \end{bmatrix}$
$= \begin{bmatrix} 22-36+18-4 &-21+30-9 &21-30+9 \\ -21+30-9&22-36+18-4 &-21+30-9 \\ 21-30+9&-21+30-9 & 22-36+18-4 \end{bmatrix}$
$= \begin{bmatrix} 0 &0 &0 \\ 0&0 &0 \\ 0&0 & 0 \end{bmatrix} = O$
Now finding the inverse of A;
Post-multiplying by $A^{-1}$ as, $|A| \neq 0$
$\Rightarrow (AAA)A^{-1}-6(AA)A^{-1} +9AA^{-1}-4IA^{-1} = 0$
$\Rightarrow AA(AA^{-1})-6A(AA^{-1}) +9(AA^{-1})=4IA^{-1}$
$\Rightarrow A^{2}-6A +9I=4A^{-1}$
$A^{-1} = \frac{1}{4}(A^{2}-6A+9I)$ ...................(1)
Now,
From equation (1) we get;
$A^{-1} = \frac{1}{4}(\begin{bmatrix} 6 &&-5 &&5 \\ -5 &&6 &&-5 \\ 5 &&-5 && 6 \end{bmatrix}-6\begin{bmatrix} 2 &-1 &1 \\ -1 &2 &-1 \\ 1 &-1 &2 \end{bmatrix}+9\begin{bmatrix} 1 & 0& 0\\ 0&1 &0 \\ 0& 0&1 \end{bmatrix})$
$A^{-1} = \frac{1}{4} \begin{bmatrix} 6-12+9 &&-5+6 &&5-6 \\ -5+6 &&6-12+9 &&-5+6 \\ 5-6 &&-5+6 && 6-12+9 \end{bmatrix}$
Hence inverse of A is :
$A^{-1} = \frac{1}{4} \begin{bmatrix} 3 &&1 &&-1 \\ 1 &&3 &&1 \\ -1 &&1 && 3 \end{bmatrix}$
Question:17 Let A be a nonsingular square matrix of order $\small 3\times 3$. Then $\small |adjA|$ is equal to
(A) $\small |A|$ (B) $\small |A|^2$ (C) $\small |A|^3$ (D) $\small 3|A|$
Answer:
We know the identity $(adjA)A = |A| I$
Hence we can determine the value of $|(adjA)|$.
Taking both sides determinant value we get,
$|(adjA)A| = ||A| I|$ or $|(adjA)||A| = ||A||| I|$
or taking R.H.S.,
$||A||| I| = \begin{vmatrix} |A| & 0&0 \\ 0&|A| &0 \\ 0&0 &|A| \end{vmatrix}$
$= |A| (|A|^2) = |A|^3$
or, we have then $|(adjA)||A| = |A|^3$
Therefore $|(adjA)| = |A|^2$
Hence the correct answer is B.
Question:18 If A is an invertible matrix of order 2, then det $\left(A^{-1}\right)$ is equal to $\dfrac{1}{\det(A)}$.
(A) $\small det(A)$ (B) $\small \frac{1}{det (A)}$ (C) $\small 1$ (D) $\small 0$
Answer:
Given that the matrix is invertible hence $A^{-1}$ exists and $A^{-1} = \frac{1}{|A|}adjA$
Let us assume a matrix of the order of 2;
$A = \begin{bmatrix} a &b \\ c &d \end{bmatrix}$.
Then $|A| = ad-bc$.
$adjA = \begin{bmatrix} d &-b \\ -c & a \end{bmatrix}$ and $|adjA| = ad-bc$
Now,
$A^{-1} = \frac{1}{|A|}adjA$
Taking determinant both sides;
$|A^{-1}| = |\frac{1}{|A|}adjA| = \begin{bmatrix} \frac{d}{|A|} &\frac{-b}{|A|} \\ \\ \frac{-c}{|A|} & \frac{a}{|A|} \end{bmatrix}$
$\therefore|A^{-1}| = \begin{vmatrix} \frac{d}{|A|} &\frac{-b}{|A|} \\ \\ \frac{-c}{|A|} & \frac{a}{|A|} \end{vmatrix} = \frac{1}{|A|^2}\begin{vmatrix} d &-b \\ -c& a \end{vmatrix} = \frac{1}{|A|^2}(ad-bc) =\frac{1}{|A|^2}.|A| = \frac{1}{|A|}$
Therefore we get;
$|A^{-1}| = \frac{1}{|A|}$
Hence the correct answer is B.
| Determinants Class 12 Chapter 4 Question Answers Exercise: 4.5 Page number: 97-98 Total Questions: 16 |
Question:1 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
$\small x+2y=2$
$\small 2x+3y=3$
The given system of equations can be written in the form of a matrix; $AX =B$
where $A= \begin{bmatrix} 1 &2 \\ 2&3 \end{bmatrix}$,
$X= \begin{bmatrix} x\\y \end{bmatrix}$ and
$B = \begin{bmatrix} 2\\3 \end{bmatrix}$.
So, we want to check for the consistency of the equations.
$|A| = 1(3) -2(2) = -1 \neq 0$
Here A is non -singular therefore, there exists $A^{-1}$.
Hence, the given system of equations is consistent.
Question:2 Examine the consistency of the system of equations
Answer:
We have given the system of equations:
$\small 2x-y=5$
$\small x+y=4$
The given system of equations can be written in the form of matrix; $AX =B$
where $A= \begin{bmatrix} 2 &-1 \\ 1&1 \end{bmatrix}$,
$X= \begin{bmatrix} x\\y \end{bmatrix}$ and
$B = \begin{bmatrix} 5\\4 \end{bmatrix}$.
So, we want to check for the consistency of the equations;
$|A| = 2(1) -1(-1) = 3 \neq 0$
Here A is non -singular therefore there exists $A^{-1}$.
Hence, the given system of equations is consistent.
Question:3 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
$\small x+3y=5$
$\small 2x+6y=8$
The given system of equations can be written in the form of the matrix; $AX =B$
where $A= \begin{bmatrix} 1 &3 \\ 2&6 \end{bmatrix}$,
$X= \begin{bmatrix} x\\y \end{bmatrix}$ and
$B = \begin{bmatrix} 5\\8 \end{bmatrix}$.
So, we want to check for the consistency of the equations;
$|A| = 1(6) -2(3) = 0$
Here A is singular matrix therefore now we will check whether the $(adjA)B$ is zero or non-zero.
$adjA= \begin{bmatrix} 6 &-3 \\ -2& 1 \end{bmatrix}$
So, $(adjA)B= \begin{bmatrix} 6 &-3 \\ -2& 1 \end{bmatrix}\begin{bmatrix} 5\\8 \end{bmatrix} = \begin{bmatrix} 30-24\\-10+8 \end{bmatrix}=\begin{bmatrix} 6\\-2 \end{bmatrix} \neq 0$
As, $(adjA)B \neq 0$ , the solution of the given system of equations does not exist.
Hence, the given system of equations is inconsistent.
Question:4 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
$\small x+y+z=1$
$\small 2x+3y+2z=2$
$\small ax+ay+2az=4$
The given system of equations can be written in the form of the matrix; $AX =B$
where $A = \begin{bmatrix} 1& 1&1 \\ 2& 3& 2\\ a& a &2a \end{bmatrix}$,
$X = \begin{bmatrix} x\\y \\ z \end{bmatrix}$ and
$B = \begin{bmatrix} 1\\2 \\ 4 \end{bmatrix}$.
So, we want to check for the consistency of the equations;
$|A| = 1(6a-2a) -1(4a-2a)+1(2a-3a)$
$= 4a -2a-a = 4a -3a =a \neq 0$
[If zero then it won't satisfy the third equation]
Here A is non- singular matrix therefore there exist $A^{-1}$.
Hence, the given system of equations is consistent.
Question:5 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
$\small 3x-y-2z=2$
$\small 2y-z=-1$
$\small 3x-5y=3$
The given system of equations can be written in the form of matrix; $AX =B$
where $A = \begin{bmatrix} 3& -1&-2 \\ 0& 2& -1\\ 3& -5 &0 \end{bmatrix}$,
$X = \begin{bmatrix} x\\y \\ z \end{bmatrix}$ and
$B = \begin{bmatrix} 2\\-1 \\ 3 \end{bmatrix}$.
So, we want to check for the consistency of the equations;
$|A| = 3(0-5) -(-1)(0+3)-2(0-6)$
$= -15 +3+12 = 0$
Therefore matrix A is a singular matrix.
So, we will then check $(adjA)B,$
$(adjA) = \begin{bmatrix} -5 &10 &5 \\ -3& 6 & 3\\ -6& 12 & 6 \end{bmatrix}$
$\therefore (adjA)B = \begin{bmatrix} -5 &10 &5 \\ -3& 6 & 3\\ -6& 12 & 6 \end{bmatrix}\begin{bmatrix} 2\\-1 \\ 3 \end{bmatrix} = \begin{bmatrix} -10-10+15\\ -6-6+9 \\ -12-12+18 \end{bmatrix} = \begin{bmatrix} -5\\-3 \\ -6 \end{bmatrix} \neq 0$
As, $(adjA)B$ is non-zero thus the solution of the given system of the equation does not exist. Hence, the given system of equations is inconsistent.
Question:6 Examine the consistency of the system of equations.
Answer:
We have given the system of equations:
$\small 5x-y+4z=5$
$\small 2x+3y+5z=2$
$\small 5x-2y+6z=-1$
The given system of equations can be written in the form of the matrix; $AX =B$
where $A = \begin{bmatrix} 5& -1&4 \\ 2& 3& 5\\ 5& -2 &6 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \\ z \end{bmatrix}$ and $B = \begin{bmatrix} 5\\2 \\ -1 \end{bmatrix}$.
So, we want to check for the consistency of the equations;
$|A| = 5(18+10) +1(12-25)+4(-4-15)$
$= 140-13-76 = 51 \neq 0$
Here A is non- singular matrix therefore there exist $A^{-1}$.
Hence, the given system of equations is consistent.
Question:7 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small 5x+2y=4$
$\small 7x+3y=5$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 5 &4 \\ 7& 3 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \end{bmatrix}$ and $B = \begin{bmatrix} 4\\5 \end{bmatrix}$
we have,
$|A| = 15-14=1 \neq 0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
$A^{-1} = \frac{1}{|A|} (adjA) = (adjA) = \begin{bmatrix} 3 &-2 \\ -7& 5 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B = \begin{bmatrix} 3 &-2 \\ -7 & 5 \end{bmatrix}\begin{bmatrix} 4\\5 \end{bmatrix}$
$\Rightarrow \begin{bmatrix} x\\y \end{bmatrix} = \begin{bmatrix} 12-10\\ -28+25 \end{bmatrix} = \begin{bmatrix} 2\\-3 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 2 and y =-3.
Question:8 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$2x-y=-2$
$3x+4y=3$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 2 &-1 \\ 3& 4 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \end{bmatrix}$ and $B = \begin{bmatrix} -2\\3 \end{bmatrix}$
we have,
$|A| = 8+3=11 \neq 0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{11}\begin{bmatrix} 4 &1 \\ -3& 2 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B = \frac{1}{11}\begin{bmatrix} 4 &1 \\ -3 & 2 \end{bmatrix}\begin{bmatrix} -2\\3 \end{bmatrix}$
$\Rightarrow \begin{bmatrix} x\\y \end{bmatrix} = \frac{1}{11}\begin{bmatrix} -8+3\\ 6+6 \end{bmatrix} = \frac{1}{11}\begin{bmatrix} -5\\12 \end{bmatrix}= \begin{bmatrix} -\frac{5}{11}\\ \\-\frac{12}{11} \end{bmatrix}$
Hence the solutions of the given system of equations;
x = -5/11 and y = 12/11.
Question:9 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small 4x-3y=3$
$\small 3x-5y=7$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 4 &-3 \\ 3& -5 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \end{bmatrix}$ and $B = \begin{bmatrix} 3\\7 \end{bmatrix}$
we have,
$|A| = -20+9=-11 \neq 0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{-1}{11}\begin{bmatrix} -5 &3 \\ -3& 4 \end{bmatrix} = \frac{1}{11} \begin{bmatrix} 5 &-3 \\ 3& -4 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B = \frac{1}{11}\begin{bmatrix} 5 &-3 \\ 3 & -4 \end{bmatrix}\begin{bmatrix} 3\\7 \end{bmatrix}$
$\Rightarrow \begin{bmatrix} x\\y \end{bmatrix} = \frac{1}{11}\begin{bmatrix} 15-21\\ 9-28 \end{bmatrix} = \frac{1}{11}\begin{bmatrix} -6\\-19 \end{bmatrix}= \begin{bmatrix} -\frac{6}{11}\\ \\-\frac{19}{11} \end{bmatrix}$
Hence the solutions of the given system of equations;
x = -6/11 and y = -19/11.
Question:10 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small 5x+2y=3$
$\small 3x+2y=5$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 5 &2 \\ 3& 2 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \end{bmatrix}$ and $B = \begin{bmatrix} 3\\5 \end{bmatrix}$
we have,
$|A| = 10-6=4 \neq 0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{4}\begin{bmatrix} 2 &-2 \\ -3& 5 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B = \frac{1}{4}\begin{bmatrix} 2 &-2 \\ -3 & 5 \end{bmatrix}\begin{bmatrix} 3\\5 \end{bmatrix}$
$\Rightarrow \begin{bmatrix} x\\y \end{bmatrix} = \frac{1}{4}\begin{bmatrix} 6-10\\ -9+25 \end{bmatrix} = \frac{1}{4}\begin{bmatrix} -4\\16 \end{bmatrix}= \begin{bmatrix} -1\\4 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = -1 and y = 4
Question:11 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small 2x+y+z=1$
$\small x-2y-z= \frac{3}{2}$
$\small 3y-5z=9$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 2 &1 &1 \\ 1 & -2 &-1 \\ 0& 3 &-5 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \\z \end{bmatrix}$ and $B =\begin{bmatrix} 1\\ \\ \frac{3}{2} \\ \\ 9 \end{bmatrix}$
we have,
$|A| =2(10+3)-1(-5-0)+1(3-0) = 26+5+3 = 34 \neq 0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
Now, we will find the cofactors;
$A_{11} =(-1)^{1+1}(10+3) = 13$ $A_{12} =(-1)^{1+2}(-5-0) = 5$
$A_{13} =(-1)^{1+3}(3-0) = 3$ $A_{21} =(-1)^{2+1}(-5-3) = 8$
$A_{22} =(-1)^{2+2}(-10-0) = -10$ $A_{23} =(-1)^{2+3}(6-0) = -6$
$A_{31} =(-1)^{3+1}(-1+2) = 1$ $A_{32} =(-1)^{3+2}(-2-1) = 3$
$A_{33} =(-1)^{3+3}(-4-1) = -5$
$(adjA) =\begin{bmatrix} 13 &8 &1 \\ 5& -10 & 3\\ 3& -6 & -5 \end{bmatrix}$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{34}\begin{bmatrix} 13 &8 &1 \\ 5& -10 & 3\\ 3& -6 & -5 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B = \frac{1}{34}\begin{bmatrix} 13 &8 &1 \\ 5& -10 & 3\\ 3& -6 & -5 \end{bmatrix}\begin{bmatrix} 1\\\frac{3}{2} \\ 9 \end{bmatrix}$
$\Rightarrow\begin{bmatrix} x\\y \\ z \end{bmatrix} = \frac{1}{34}\begin{bmatrix} 13+12+9\\5-15+27 \\ 3-9-45 \end{bmatrix} = \frac{1}{34}\begin{bmatrix} 34\\17 \\ -51 \end{bmatrix}= \begin{bmatrix} 1\\\frac{1}{2} \\ -\frac{3}{2} \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 1, y = 1/2, and z = -3/2.
Question:12 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small x-y+z=4$
$\small 2x+y-3z=0$
$\small x+y+z=2$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 1 &-1 &1 \\ 2 & 1 &-3 \\ 1& 1 &1 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \\z \end{bmatrix}$ $and\ B =\begin{bmatrix} 4\\ 0 \\ 2 \end{bmatrix}.$
we have,
$|A| =1(1+3)+1(2+3)+1(2-1) = 4+5+1= 10 \neq 0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
Now, we will find the cofactors;
$A_{11} =(-1)^{1+1}(1+3) = 4$ $A_{12} =(-1)^{1+2}(2+3) = -5$
$A_{13} =(-1)^{1+3}(2-1) = 1$ $A_{21} =(-1)^{2+1}(-1-1) = 2$
$A_{22} =(-1)^{2+2}(1-1) = 0$ $A_{23} =(-1)^{2+3}(1+1) = -2$
$A_{31} =(-1)^{3+1}(3-1) = 2$ $A_{32} =(-1)^{3+2}(-3-2) = 5$
$A_{33} =(-1)^{3+3}(1+2) = 3$
$(adjA) =\begin{bmatrix} 4 &2 &2 \\ -5& 0 & 5\\ 1& -2 & 3 \end{bmatrix}$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{10}\begin{bmatrix} 4 &2 &2 \\ -5& 0 & 5\\ 1& -2 & 3 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B =\frac{1}{10}\begin{bmatrix} 4 &2 &2 \\ -5& 0 & 5\\ 1& -2 & 3 \end{bmatrix}\begin{bmatrix} 4\\0 \\ 2 \end{bmatrix}$
$\Rightarrow\begin{bmatrix} x\\y \\ z \end{bmatrix} = \frac{1}{10}\begin{bmatrix} 16+0+4\\-20+0+10 \\ 4+0+6 \end{bmatrix} = \frac{1}{10}\begin{bmatrix} 20\\-10 \\ 10 \end{bmatrix}= \begin{bmatrix} 2\\-1 \\ 1 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 2, y = -1, and z = 1.
Question:13 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small 2x+3y+3z=5$
$\small x-2y+z=-4$
$\small 3x-y-2z=3$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 2 &3 &3 \\ 1 & -2 &1 \\ 3& -1 &-2 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \\z \end{bmatrix}$ $and\ B =\begin{bmatrix} 5\\ -4 \\ 3 \end{bmatrix}.$
we have,
$|A| =2(4+1) -3(-2-3)+3(-1+6) = 10+15+15 = 40$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
Now, we will find the cofactors;
$A_{11} =(-1)^{1+1}(4+1) = 5$ $A_{12} =(-1)^{1+2}(-2-3) = 5$
$A_{13} =(-1)^{1+3}(-1+6) = 5$ $A_{21} =(-1)^{2+1}(-6+3) = 3$
$A_{22} =(-1)^{2+2}(-4-9) = -13$ $A_{23} =(-1)^{2+3}(-2-9) = 11$
$A_{31} =(-1)^{3+1}(3+6) = 9$ $A_{32} =(-1)^{3+2}(2-3) = 1$
$A_{33} =(-1)^{3+3}(-4-3) = -7$
$(adjA) =\begin{bmatrix} 5 &3 &9 \\ 5& -13 & 1\\ 5&11 & -7 \end{bmatrix}$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{40}\begin{bmatrix} 5 &3 &9 \\ 5& -13 & 1\\ 5& 11 & -7 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B =\frac{1}{40}\begin{bmatrix} 5 &3 &9 \\ 5& -13 & 1\\ 5& 11 & -7 \end{bmatrix}\begin{bmatrix} 5\\-4 \\ 3 \end{bmatrix}$
$\Rightarrow\begin{bmatrix} x\\y \\ z \end{bmatrix} = \frac{1}{40}\begin{bmatrix} 25-12+27\\25+52+3 \\ 25-44-21 \end{bmatrix} = \frac{1}{40}\begin{bmatrix} 40\\80 \\ -40 \end{bmatrix}= \begin{bmatrix} 1\\2 \\ -1 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 1, y = 2, and z = -1.
Question:14 Solve system of linear equations, using matrix method.
Answer:
The given system of equations
$\small x-y+2z=7$
$\small 3x+4y-5z=-5$
$\small 2x-y+3z=12$
can be written in the matrix form of AX =B, where
$A = \begin{bmatrix} 1 &-1 &2 \\ 3 & 4 &-5 \\ 2& -1 &3 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \\z \end{bmatrix}$ $and\ B =\begin{bmatrix} 7\\ -5 \\ 12 \end{bmatrix}.$
we have,
$|A| =1(12-5) +1(9+10)+2(-3-8) = 7+19-22 = 4 \neq0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
Now, we will find the cofactors;
$A_{11} =(-1)^{12-5} = 7$ $A_{12} =(-1)^{1+2}(9+10) = -19$
$A_{13} =(-1)^{1+3}(-3-8) = -11$ $A_{21} =(-1)^{2+1}(-3+2) = 1$
$A_{22} =(-1)^{2+2}(3-4) = -1$ $A_{23} =(-1)^{2+3}(-1+2) = -1$
$A_{31} =(-1)^{3+1}(5-8) = -3$ $A_{32} =(-1)^{3+2}(-5-6) = 11$
$A_{33} =(-1)^{3+3}(4+3) = 7$
$(adjA) =\begin{bmatrix} 7 &1 &-3 \\ -19& -1 & 11\\ -11&-1 & 7 \end{bmatrix}$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{4}\begin{bmatrix} 7 &1 &-3 \\ -19& -1 & 11\\ -11&-1 & 7 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B =\frac{1}{4}\begin{bmatrix} 7 &1 &-3 \\ -19& -1 & 11\\ -11&-1 & 7 \end{bmatrix}\begin{bmatrix} 7\\-5 \\ 12 \end{bmatrix}$
$\Rightarrow\begin{bmatrix} x\\y \\ z \end{bmatrix} = \frac{1}{4}\begin{bmatrix} 49-5-36\\-133+5+132 \\ -77+5+84 \end{bmatrix} = \frac{1}{4}\begin{bmatrix} 8\\4 \\ 12 \end{bmatrix}= \begin{bmatrix} 2\\1 \\ 3 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 2, y = 1, and z = 3.
Answer:
The given system of equations
$2x-3y+5z=11$
$3x+2y-4z=-5$
$x+y-2z=-3$
can be written in the matrix form of AX =B, where
$A=\begin{bmatrix} 2 &-3 &5 \\ 3 & 2 &-4 \\ 1 &1 &-2 \end{bmatrix}$, $X = \begin{bmatrix} x\\y \\z \end{bmatrix}$ $and\ B =\begin{bmatrix} 11\\ -5 \\ -3 \end{bmatrix}.$
we have,
$|A| =2(-4+4) +3(-6+4)+5(3-2) = 0-6+5 = -1 \neq0$.
So, A is non-singular, Therefore, its inverse $A^{-1}$ exists.
as we know $A^{-1} = \frac{1}{|A|} (adjA)$
Now, we will find the cofactors;
$A_{11} =(-1)^{-4+4} = 0$ $A_{12} =(-1)^{1+2}(-6+4) = 2$
$A_{13} =(-1)^{1+3}(3-2) = 1$ $A_{21} =(-1)^{2+1}(6-5) = -1$
$A_{22} =(-1)^{2+2}(-4-5) = -9$ $A_{23} =(-1)^{2+3}(2+3) = -5$
$A_{31} =(-1)^{3+1}(12-10) = 2$ $A_{32} =(-1)^{3+2}(-8-15) = 23$
$A_{33} =(-1)^{3+3}(4+9) = 13$
$(adjA) =\begin{bmatrix} 0 &-1 &2 \\ 2& -9 & 23\\ 1&-5 & 13 \end{bmatrix}$
$A^{-1} = \frac{1}{|A|} (adjA) = -1\begin{bmatrix} 0 &-1 &2 \\ 2& -9 & 23\\ 1&-5 & 13 \end{bmatrix} = \begin{bmatrix} 0 &1 &-2 \\ -2& 9 & -23\\ -1&5 & -13 \end{bmatrix}$
So, the solutions can be found by $X = A^{-1}B = \begin{bmatrix} 0 &1 &-2 \\ -2& 9 & -23\\ -1&5 & -13 \end{bmatrix}\begin{bmatrix} 11\\-5 \\ -3 \end{bmatrix}$
$\Rightarrow\begin{bmatrix} x\\y \\ z \end{bmatrix} = \begin{bmatrix} 0-5+6\\-22-45+69 \\ -11-25+39 \end{bmatrix} = \begin{bmatrix} 1\\2 \\ 3 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 1, y = 2, and z = 3.
Answer:
So, let us assume the cost of onion, wheat, and rice be x, y and z respectively.
Then we have the equations for the given situation :
$4x+3y+2z = 60$
$2x+4y+6z = 90$
$6x+2y+3y = 70$
We can find the cost of each item per Kg by the matrix method as follows;
Taking the coefficients of x, y, and z as a matrix $A$.
We have;
$A = \begin{bmatrix} 4 &3 &2 \\ 2& 4 &6 \\ 6 & 2 & 3 \end{bmatrix},$ $X= \begin{bmatrix} x\\y \\ z \end{bmatrix}$ $and\ B = \begin{bmatrix} 60\\90 \\ 70 \end{bmatrix}.$
$|A| = 4(12-12) -3(6-36)+2(4-24) = 0 +90-40 = 50 \neq 0$
Now, we will find the cofactors of A;
$A_{11} = (-1)^{1+1}(12-12) = 0$ $A_{12} = (-1)^{1+2}(6-36) = 30$
$A_{13} = (-1)^{1+3}(4-24) = -20$ $A_{21} = (-1)^{2+1}(9-4) = -5$
$A_{22} = (-1)^{2+2}(12-12) = 0$ $A_{23} = (-1)^{2+3}(8-18) = 10$
$A_{31} = (-1)^{3+1}(18-8) = 10$ $A_{32} = (-1)^{3+2}(24-4) = -20$
$A_{33} = (-1)^{3+3}(16-6) = 10$
Now we have adjA;
$adjA = \begin{bmatrix} 0 &-5 &10 \\ 30 & 0 &-20 \\ -20 & 10 & 10 \end{bmatrix}$
$A^{-1} = \frac{1}{|A|} (adjA) = \frac{1}{50}\begin{bmatrix} 0 &-5 &10 \\ 30 & 0 &-20 \\ -20 & 10 & 10 \end{bmatrix}$s
So, the solutions can be found by $X = A^{-1}B = \frac{1}{50}\begin{bmatrix} 0 &-5 &10 \\ 30 & 0 &-20 \\ -20 & 10 & 10 \end{bmatrix}\begin{bmatrix} 60\\90 \\ 70 \end{bmatrix}$
$\Rightarrow\begin{bmatrix} x\\y \\ z \end{bmatrix} = \begin{bmatrix} 0-450+700\\1800+0-1400 \\ -1200+900+700 \end{bmatrix} =\frac{1}{50} \begin{bmatrix} 250\\400 \\ 400 \end{bmatrix} = \begin{bmatrix} 5\\8 \\ 8 \end{bmatrix}$
Hence the solutions of the given system of equations;
x = 5, y = 8, and z = 8
Therefore, we have the cost of onions is Rs. 5 per Kg, the cost of wheat is Rs. 8 per Kg, and the cost of rice is Rs. 8 per kg.
| Determinants Class 12 Chapter 4 Question Answers Miscellaneous Exercise Page number: 99-100 Total Questions: 9 |
Answer:
Calculating the determinant value of $\begin{vmatrix} x & \sin \theta &\cos \theta \\ -\sin \theta &-x & 1\\ \cos \theta &1 &x \end{vmatrix}$;
$= x\begin{bmatrix} -x &1 \\ 1& x \end{bmatrix}-\sin \Theta\begin{bmatrix} -\sin \Theta &1 \\ \cos \Theta& x \end{bmatrix} + \cos \Theta \begin{bmatrix} -\sin \Theta &-x \\ \cos \Theta& 1 \end{bmatrix}$
$= x(-x^2-1)-\sin \Theta (-x\sin \Theta-\cos \Theta)+\cos\Theta(-\sin \Theta+x\cos\Theta)$
$= -x^3-x+x\sin^2 \Theta+ \sin \Theta\cos \Theta-\cos\Theta\sin \Theta+x\cos^2\Theta$
$= -x^3-x+x(\sin^2 \Theta+\cos^2\Theta)$
$= -x^3-x+x = -x^3$
Clearly, the determinant is independent of $\Theta$.
Answer:
We have the
$L.H.S. = \begin{vmatrix} a &a^2 &bc \\ b& b^2 &ca \\ c & c^2 &ab \end{vmatrix}$
Multiplying rows with a, b, and c respectively.
$R_{1} \rightarrow aR_{1}, R_{2} \rightarrow bR_{2},\ and\ R_{3} \rightarrow cR_{3}$
we get;
$= \frac{1}{abc} \begin{vmatrix} a^2 &a^3 &abc \\ b^2& b^3 &abc \\ c^2& c^3 & abc \end{vmatrix}$
$= \frac{1}{abc}.abc \begin{vmatrix} a^2 &a^3 & 1\\ b^2& b^3 &1 \\ c^2& c^3 & 1 \end{vmatrix}$ $[after\ taking\ out\ abc\ from\ column\ 3].$
$= \begin{vmatrix} a^2 &a^3 & 1\\ b^2& b^3 &1 \\ c^2& c^3 & 1 \end{vmatrix} = \begin{vmatrix} 1&a^2 & a^3\\ 1& b^2 &b^3 \\ 1& c^2 & c^3 \end{vmatrix}$ $[Applying\ C_{1}\leftrightarrow C_{3}\ and\ C_{2} \leftrightarrow C_{3}]$
= R.H.S.
Hence proved. L.H.S. =R.H.S.
Answer:
Given determinant $\begin{vmatrix} \cos \alpha \cos \beta & \cos \alpha \sin \beta &-\sin \alpha \\ -\sin \beta & \cos \beta &0 \\ \sin \alpha \cos \beta &\sin \alpha \sin \beta & \cos \alpha \end{vmatrix}$;
$= \cos \alpha \cos \beta \begin{vmatrix} \cos \beta &0 \\ \sin \alpha \sin \beta & \cos \alpha \end{vmatrix} - \cos \alpha \sin \beta \begin{vmatrix} -\sin \beta & 0 \\ \sin \alpha \cos \beta & \cos \alpha \end{vmatrix} -\sin \alpha \begin{vmatrix} -\sin \beta &\cos \beta \\ \sin \alpha \cos \beta& \sin \alpha \sin \beta \end{vmatrix}$$= \cos \alpha \cos \beta (\cos \beta \cos \alpha -0 )- \cos \alpha \sin \beta (-\cos \alpha\sin \beta- 0) -\sin \alpha (-\sin \alpha\sin^2\beta - \sin \alpha \cos^2 \beta)$
$= \cos^2 \alpha \cos^2 \beta + \cos^2 \alpha \sin^2 \beta +\sin^2 \alpha \sin^2\beta + \sin^2 \alpha \cos^2 \beta$
$= \cos^2 \alpha(\cos^2 \beta+\sin^2 \beta) +\sin^2 \alpha(\sin^2\beta+\cos^2 \beta)$
$= \cos^2 \alpha(1) +\sin^2 \alpha(1) = 1$.
Question 4: If \( A^{-1} = \begin{bmatrix} 3 & -1 & 1 \\ -15 & 6 & -5 \\ 5 & -2 & 2 \end{bmatrix} \) and \( B = \begin{bmatrix} 1 & 2 & -2 \\ -1 & 3 & 0 \\ 0 & -2 & 1 \end{bmatrix} \), find \( (AB)^{-1} \).
Answer:
We know from the identity that:
$(AB)^{-1} = B^{-1}A^{-1}$
Then we can find easily,
Given
Given
$A^{-1} = \begin{bmatrix} 3 & -1 & 1 \ -15 & 6 & -5 \ 5 & -2 & 2 \end{bmatrix}$,
$B = \begin{bmatrix} 1 & 2 & -2 \ -1 & 3 & 0 \ 0 & -2 & 1 \end{bmatrix}$
Then we have to basically find the $B^{-1}$ matrix.
So, Given matrix $B=\begin{bmatrix} 1 &2 &-2 \\ -1&3 &0 \\ 0 &-2 &1 \end{bmatrix}$
$|B| = 1(3-0) -2(-1-0)-2(2-0) = 3+2-4 = 1 \neq 0$
Hence its inverse $B^{-1}$ exists;
Now, as we know that
$B^{-1} = \frac{1}{|B|} adjB$
So, calculating cofactors of B,
$B_{11} = (-1)^{1+1}(3-0) = 3$ $B_{12} = (-1)^{1+2}(-1-0) = 1$
$B_{13} = (-1)^{1+3}(2-0) = 2$ $B_{21} = (-1)^{2+1}(2-4) = 2$
$B_{22} = (-1)^{2+2}(1-0) = 1$ $B_{23} = (-1)^{2+3}(-2-0) = 2$
$B_{31} = (-1)^{3+1}(0+6) = 6$ $B_{32} = (-1)^{3+2}(0-2) = 2$
$B_{33} = (-1)^{3+3}(3+2) = 5$
$adjB = \begin{bmatrix} 3 &2 &6 \\ 1& 1& 2\\ 2& 2& 5 \end{bmatrix}$
$B^{-1} = \frac{1}{|B|} adjB = \frac{1}{1} \begin{bmatrix} 3 &2 &6 \\ 1& 1& 2\\ 2& 2& 5 \end{bmatrix}$
Now, We have both $A^{-1}$ as well as $B^{-1}$ ;
Putting in the relation we know; $(AB)^{-1} = B^{-1}A^{-1}$
$(AB)^{-1}=\frac{1}{1} \begin{bmatrix} 3 &2 &6 \\ 1& 1& 2\\ 2& 2& 5 \end{bmatrix}\begin{bmatrix} 3 &-1 &1 \\ -15 &6 &-5 \\ 5 &-2 &2 \end{bmatrix}$
$= \begin{bmatrix} 9-30+30 &-3+12-12 &3-10+12 \\ 3-15+10&-1+6-4 &1-5+4 \\ 6-30+25 &-2+12-10 &2-10+10 \end{bmatrix}$
$= \begin{bmatrix} 9 &-3 &5 \\ -2&1 &0 \\ 1 &0 &2\end{bmatrix}$
Question 5(i): Let $A = \begin{bmatrix} 1 & 2 & 1 \\ 2 & 3 & 1 \\ 1 & 1 & 5 \end{bmatrix}$. Verify that $100[\operatorname{adj} A]^{-1} = \operatorname{adj}(A^{-1})$.
Answer:
Given that $A=\begin{bmatrix} 1 &2 &1 \\ 2 &3 &1 \\ 1 & 1 & 5 \end{bmatrix}$;
So, let us assume that $A^{-1} = B$ matrix and $adjA = C$ then;
$|A| = 1(15-1) -2(10-1) +1(2-3) = 14-18-1 = -5 \neq 0$
Hence its inverse exists;
$A^{-1} = \frac{1}{|A|} adjA$ or $B = \frac{1}{|A|}C$;
so, we now calculate the value of $adjA$
Cofactors of A;
$A_{11}= (-1)^{1+1}(15-1) = 14$ $A_{12}= (-1)^{1+2}(10-1) = -9$
$A_{13}= (-1)^{1+3}(2-3) = -1$ $A_{21}= (-1)^{2+1}(10-1) = -9$
$A_{22}= (-1)^{2+2}(5-1) = 4$ $A_{23}= (-1)^{2+3}(1-2) = 1$
$A_{31}= (-1)^{3+1}(2-3) = -1$ $A_{32}= (-1)^{3+2}(1-2) = 1$
$A_{33}= (-1)^{3+3}(3-4) = -1$
$\Rightarrow adjA =C= \begin{bmatrix} 14 &-9 &-1 \\ -9& 4& 1\\ -1& 1 &-1 \end{bmatrix}$
$A^{-1} =B= \frac{1}{|A|} adjA = \frac{1}{-5}\begin{bmatrix} 14 &-9 &-1 \\ -9& 4& 1\\ -1& 1 &-1 \end{bmatrix}$
Finding the inverse of C;
$|C| = 14(-4-1)+9(9+1)-1(-9+4) = -70+90+5 = 25 \neq 0$
Hence its inverse exists;
$C^{-1} = \frac{1}{|C|}adj C$
Now, finding the $adjC$;
$C_{11}= (-1)^{1+1}(-4-1) = -5$ $C_{12}= (-1)^{1+2}(9+1) = -10$
$C_{13}= (-1)^{1+3}(-9+4) = -5$ $C_{21}= (-1)^{2+1}(9+1) = -10$
$C_{22}= (-1)^{2+2}(-14-1) = -15$ $C_{23}= (-1)^{2+3}(14-9) = -5$
$C_{31}= (-1)^{3+1}(-9+4) = -5$ $C_{32}= (-1)^{3+2}(14-9) = -5$
$C_{33}= (-1)^{3+3}(56-81) = -25$
$adjC = \begin{bmatrix} -5 &-10 &-5 \\ -10& -15 & -5\\ -5& -5& -25 \end{bmatrix}$
$C^{-1} = \frac{1}{|C|}adjC = \frac{1}{25}\begin{bmatrix} -5 &-10 &-5 \\ -10& -15 & -5\\ -5& -5& -25 \end{bmatrix} = \begin{bmatrix} -\frac{1}{5} && -\frac{2}{5} &&-\frac{1}{5} \\ \\ -\frac{2}{5}&& -\frac{3}{5} && -\frac{1}{5}\\ \\ -\frac{1}{5} && -\frac{1}{5} && -1 \end{bmatrix}$
or $L.H.S. = C^{-1} = [adjA]^{-1} = \begin{bmatrix} -\frac{1}{5} && -\frac{2}{5} &&-\frac{1}{5} \\ \\ -\frac{2}{5}&& -\frac{3}{5} && -\frac{1}{5}\\ \\ -\frac{1}{5} && -\frac{1}{5} && -1 \end{bmatrix}$
Now, finding the R.H.S.
$adj (A^{-1}) = adj B$
$A^{-1} =B= \begin{bmatrix} \frac{-14}{5} &&\frac{9}{5} &&\frac{1}{5} \\ \\ \frac{9}{5}&& \frac{-4}{5}&& \frac{-1}{5}\\ \\ \frac{1}{5}&& \frac{-1}{5} &&\frac{1}{5}\end{bmatrix}$
Cofactors of B;
$B_{11}= (-1)^{1+1}(\frac{-4}{25}-\frac{1}{25}) = \frac{-1}{5}$
$B_{12}= (-1)^{1+2}(\frac{9}{25}+\frac{1}{25}) =- \frac{2}{5}$
$B_{13}= (-1)^{1+3}(\frac{-9}{25}+\frac{4}{25}) = \frac{-1}{5}$
$B_{21}= (-1)^{2+1}(\frac{9}{25}+\frac{1}{25}) = -\frac{2}{5}$
$B_{22}= (-1)^{2+2}(\frac{-14}{25}-\frac{1}{25}) = \frac{-3}{5}$
$B_{23}= (-1)^{2+3}(\frac{14}{25}-\frac{9}{25}) = \frac{-1}{5}$
$B_{31}= (-1)^{3+1}(\frac{-9}{25}+\frac{4}{25}) = \frac{-1}{5}$
$B_{32}= (-1)^{3+2}(\frac{14}{25}-\frac{9}{25}) = \frac{-1}{5}$
$B_{33}= (-1)^{3+3}(\frac{56}{25}-\frac{81}{25}) = -1$
$R.H.S. = adjB = adj(A^{-1}) =\begin{bmatrix} -\frac{1}{5} && -\frac{2}{5} &&-\frac{1}{5} \\ \\ -\frac{2}{5}&& -\frac{3}{5} && -\frac{1}{5}\\ \\ -\frac{1}{5} && -\frac{1}{5} && -1 \end{bmatrix}$
Hence L.H.S. = R.H.S. proved.
Question 5(ii):Let $A = \begin{bmatrix} 1 & 2 & 1 \\ 2 & 3 & 1 \\ 1 & 1 & 5 \end{bmatrix}$, verify that $(A^{-1})^{-1} = A$.
Answer:
Given that $A=\begin{bmatrix} 1 &2 &1 \\ 2 &3 &1 \\ 1 & 1 & 5 \end{bmatrix}$;
So, let us assume that $A^{-1} = B$
$|A| = 1(15-1) -2(10-1) +1(2-3) = 14-18-1 = -5 \neq 0$
Hence its inverse exists;
$A^{-1} = \frac{1}{|A|} adjA$ or $B = \frac{1}{|A|}C$;
so, we now calculate the value of $adjA$
Cofactors of A;
$A_{11}= (-1)^{1+1}(15-1) = 14$ $A_{12}= (-1)^{1+2}(10-1) = -9$
$A_{13}= (-1)^{1+3}(2-3) = -1$ $A_{21}= (-1)^{2+1}(10-1) = -9$
$A_{22}= (-1)^{2+2}(5-1) = 4$ $A_{23}= (-1)^{2+3}(1-2) = 1$
$A_{31}= (-1)^{3+1}(2-3) = -1$ $A_{32}= (-1)^{3+2}(1-2) = 1$
$A_{33}= (-1)^{3+3}(3-4) = -1$
$\Rightarrow adjA =C= \begin{bmatrix} 14 &-9 &-1 \\ -9& 4& 1\\ -1& 1 &-1 \end{bmatrix}$
$A^{-1} =B= \frac{1}{|A|} adjA = \frac{1}{-5}\begin{bmatrix} 14 &-9 &-1 \\ -9& 4& 1\\ -1& 1 &-1 \end{bmatrix} = \begin{bmatrix} \frac{-14}{5} &&\frac{9}{5} &&\frac{1}{5} \\ \\ \frac{9}{5} && \frac{-4}{5} &&\frac{-1}{5} \\ \\ \frac{1}{5} &&\frac{-1}{5} &&\frac{1}{5} \end{bmatrix}$
Finding the inverse of B ;
$|B| = \frac{-14}{5}(\frac{-4}{25}-\frac{1}{25})-\frac{9}{5}(\frac{9}{25}+\frac{1}{25})+\frac{1}{5}(\frac{-9}{25}+\frac{4}{25})$
$= \frac{70}{125}-\frac{90}{125}-\frac{5}{125} = \frac{-25}{125} = \frac{-1}{5} \neq 0$
Hence its inverse exists;
$B^{-1} = \frac{1}{|B|}adj B$
Now, finding the $adjB$;
$A^{-1} =B= \frac{1}{|A|} adjA = \frac{1}{-5}\begin{bmatrix} 14 &-9 &-1 \\ -9& 4& 1\\ -1& 1 &-1 \end{bmatrix} = \begin{bmatrix} \frac{-14}{5} &&\frac{9}{5} &&\frac{1}{5} \\ \\ \frac{9}{5} && \frac{-4}{5} &&\frac{-1}{5} \\ \\ \frac{1}{5} &&\frac{-1}{5} &&\frac{1}{5} \end{bmatrix}$
$B_{11}= (-1)^{1+1}(\frac{-4}{25}-\frac{1}{25}) = \frac{-1}{5}$ $B_{12}= (-1)^{1+2}(\frac{9}{25}+\frac{1}{25}) = \frac{-2}{5}$
$B_{13}= (-1)^{1+3}(\frac{-9}{25}+\frac{4}{25}) = \frac{-1}{5}$ $B_{21}= (-1)^{2+1}(\frac{9}{25}+\frac{1}{25}) = -\frac{2}{5}$
$B_{22}= (-1)^{2+2}(\frac{-14}{25}-\frac{1}{25}) = \frac{-3}{5}$ $B_{23}= (-1)^{2+3}(\frac{14}{25}-\frac{9}{25}) = \frac{-1}{5}$
$B_{31}= (-1)^{3+1}(\frac{-9}{25}+\frac{4}{25}) = \frac{-1}{5}$
$B_{32}= (-1)^{3+2}(\frac{14}{25}-\frac{9}{25}) = \frac{-1}{5}$
$B_{33}= (-1)^{3+3}(\frac{56}{25}-\frac{81}{25}) = \frac{-25}{25} =-1$
$adjB = \begin{bmatrix} \frac{-1}{5} &&\frac{-2}{5} &&\frac{-1}{5} \\ \\\frac{-2}{5}&& \frac{-3}{5} && \frac{-1}{5}\\ \\ \frac{-1}{5}&& \frac{-1}{5}&& -1 \end{bmatrix}$
$B^{-1} = \frac{1}{|B|}adjB = \frac{-5}{1}\begin{bmatrix} \frac{-1}{5} &&\frac{-2}{5} &&\frac{-1}{5} \\ \\\frac{-2}{5}&& \frac{-3}{5} && \frac{-1}{5}\\ \\ \frac{-1}{5}&& \frac{-1}{5}&& -1 \end{bmatrix}= \begin{bmatrix} 1 &2 &1 \\ 2& 3& 1\\ 1 & 1 &5 \end{bmatrix}$
$L.H.S. = B^{-1} = (A^{-1})^{-1} = \begin{bmatrix} 1 &2 &1 \\ 2& 3& 1\\ 1 & 1 &5 \end{bmatrix}$
$R.H.S. = A = \begin{bmatrix} 1 &2 &1 \\ 2& 3& 1\\ 1& 1 &5 \end{bmatrix}$
Hence proved L.H.S. =R.H.S..
Question:6 Evaluate $\begin{vmatrix} x & y &x+y \\ y & x+y &x \\ x+y & x & y \end{vmatrix}$
Answer:
We have determinant $\triangle = \begin{vmatrix} x & y &x+y \\ y & x+y &x \\ x+y & x & y \end{vmatrix}$
Applying row transformations; $R_{1} \rightarrow R_{1}+R_{2}+R_{3}$ , we have then;
$\triangle = \begin{vmatrix} 2(x+y) & 2(x+y) &2(x+y) \\ y & x+y &x \\ x+y & x & y \end{vmatrix}$
Taking out the common factor 2(x+y) from the row first.
$= 2(x+y)\begin{vmatrix} 1 & 1 &1 \\ y & x+y &x \\ x+y & x & y \end{vmatrix}$
Now, applying the column transformation; $C_{1} \rightarrow C_{1} - C_{2}$ and $C_{2} \rightarrow C_{2} - C_{1}$ we have ;
$= 2(x+y)\begin{vmatrix} 0 & 0 &1 \\ -x & y &x \\ y & x-y & y \end{vmatrix}$
Expanding the remaining determinant;
$= 2(x+y)(-x(x-y)-y^2) = 2(x+y)[-x^2+xy-y^2]$
$= -2(x+y)[x^2-xy+y^2] = -2(x^3+y^3)$.
Question:7 Evaluate $\begin{vmatrix} 1 & x &y \\ 1 &x+y &y \\ 1 &x &x+y \end{vmatrix}$
Answer:
We have determinant $\triangle = \begin{vmatrix} 1 & x &y \\ 1 &x+y &y \\ 1 &x &x+y \end{vmatrix}$
Applying row transformations; $R_{1} \rightarrow R_{1}-R_{2}$ and $R_{2} \rightarrow R_{2}-R_{3}$ then we have then;
$\triangle = \begin{vmatrix} 0 & -y &0 \\ 0 &y &-x \\ 1 &x &x+y \end{vmatrix}$
Taking out the common factor -y from the row first.
$\triangle = -y\begin{vmatrix} 0 & 1 &0 \\ 0 &y &-x \\ 1 &x &x+y \end{vmatrix}$
Expanding the remaining determinant;
$-y[1(-x-o)] = xy$
Question:8 Solve the system of equations
$\frac{2}{x}+\frac{3}{y}+\frac{10}{z}=4$
$\frac{4}{x}-\frac{6}{y}+\frac{5}{z}=1$
$\frac{6}{x}+\frac{9}{y}-\frac{20}{z}=2$
Answer:
We have a system of equations;
$\frac{2}{x}+\frac{3}{y}+\frac{10}{z}=4$
$\frac{4}{x}-\frac{6}{y}+\frac{5}{z}=1$
$\frac{6}{x}+\frac{9}{y}-\frac{20}{z}=2$
So, we will convert the given system of equations in a simple form to solve the problem by the matrix method;
Let us take, $\frac{1}{x} = a$, $\frac{1}{y} = b\ and\ \frac{1}{z} = c$
Then we have the equations;
$2a +3b+10c = 4$
$4a-6b+5c =1$
$6a+9b-20c = 2$
We can write it in the matrix form as $AX =B$ , where
$A= \begin{bmatrix} 2 &3 &10 \\ 4& -6 & 5\\ 6 & 9 & -20 \end{bmatrix} , X = \begin{bmatrix} a\\b \\c \end{bmatrix}\ and\ B = \begin{bmatrix} 4\\1 \\ 2 \end{bmatrix}.$
Now, Finding the determinant value of A;
$|A| = 2(120-45)-3(-80-30)+10(36+36)$
$=150+330+720$
$=1200 \neq 0$
Hence we can say that A is non-singular $\therefore$ its invers exists;
Finding cofactors of A;
$A_{11} = 75$ , $A_{12} = 110$, $A_{13} = 72$
$A_{21} = 150$, $A_{22} = -100$, $A_{23} = 0$
$A_{31} =75$, $A_{31} =30$, $A_{33} =-24$
$\therefore$ as we know $A^{-1} = \frac{1}{|A|}adjA$
$= \frac{1}{1200} \begin{bmatrix} 75 &150 &75 \\ 110& -100& 30\\ 72&0 &-24 \end{bmatrix}$
Now we will find the solutions by relation $X = A^{-1}B$.
$\Rightarrow \begin{bmatrix} a\\b \\ c \end{bmatrix} = \frac{1}{1200} \begin{bmatrix} 75 &150 &75 \\ 110& -100& 30\\ 72&0 &-24 \end{bmatrix}\begin{bmatrix} 4\\1 \\ 2 \end{bmatrix}$
$= \frac{1}{1200}\begin{bmatrix} 300+150+150\\440-100+60 \\ 288+0-48 \end{bmatrix}$
$= \frac{1}{1200}\begin{bmatrix} 600\\400\\ 240 \end{bmatrix} = \begin{bmatrix} \frac{1}{2}\\ \\ \frac{1}{3} \\ \\ \frac{1}{5} \end{bmatrix}$
Therefore we have the solutions $a = \frac{1}{2},\ b= \frac{1}{3},\ and\ c = \frac{1}{5}.$
Or in terms of x, y, and z;
$x =2,\ y =3,\ and\ z = 5$
Question 9: Choose the correct answer.
If $x$, $y$, $z$ are nonzero real numbers, then the inverse of the matrix
$A = \begin{bmatrix} x & 0 & 0 \\ 0 & y & 0 \\ 0 & 0 & z \end{bmatrix}$
is
(A) $ \begin{bmatrix} x^{-1} & 0 & 0 \\ 0 & y^{-1} & 0 \\ 0 & 0 & z^{-1} \end{bmatrix} $
(B) $ xyz \begin{bmatrix} x^{-1} & 0 & 0 \\ 0 & y^{-1} & 0 \\ 0 & 0 & z^{-1} \end{bmatrix} $
(C) $ \dfrac{1}{xyz} \begin{bmatrix} x & 0 & 0 \\ 0 & y & 0 \\ 0 & 0 & z \end{bmatrix} $
(D) $ \dfrac{1}{xyz} \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} $
Answer:
Given Matrix $A=\begin{bmatrix} x &0 &0 \\ 0 &y &0 \\ 0 & 0 & z \end{bmatrix}$,
$|A| = x(yz-0) =xyz$
As we know,
$A^{-1} = \frac{1}{|A|}adjA$
So, we will find the $adjA$,
Determining its cofactor first,
$A_{11} = yz$ $A_{12} = 0$ $A_{13} = 0$
$A_{21} = 0$ $A_{22} = xz$ $A_{23} = 0$
$A_{31} = 0$ $A_{32} = 0$ $A_{33} = xy$
Hence $A^{-1} = \frac{1}{|A|}adjA = \frac{1}{xyz}\begin{bmatrix} yz &0 &0 \\ 0& xz & 0\\ 0& 0& xy \end{bmatrix}$
$A^{-1} = \begin{bmatrix} \frac{1}{x} &&0 &&0 \\ 0&& \frac{1}{y} && 0\\ 0&& 0&& \frac{1}{z} \end{bmatrix}$
Therefore, the correct answer is (A)
Question 10: Choose the correct answer.
Let $A=\begin{vmatrix} 1 &\sin \theta &1 \\ -\sin \theta & 1 & \sin \theta \\ -1&-\sin \theta &1 \end{vmatrix},$ where $0\leq \theta \leq 2\pi$. Then
(A)$Det(A)=0$ nbsp; (B) $Det(A)\in (2,\infty)$
(C) $Det(A)\in (2,4)$ (D)$Det(A)\in [2,4]$
Answer:
Given determinant $A=\begin{vmatrix} 1 &\sin \theta &1 \\ -\sin \theta & 1 & \sin \theta \\ -1&-\sin \theta &1 \end{vmatrix}$
$|A| = 1(1+\sin^2 \Theta) -\sin \Theta(-\sin \Theta+\sin \Theta)+1(\sin^2 \Theta +1)$
$= 1+ \sin ^2 \Theta + \sin ^2 \Theta +1$
$= 2+2\sin ^2 \Theta = 2(1+\sin^2 \Theta)$
Now, given the range of $\Theta$ from $0\leq \Theta \leq 2\pi$
$\Rightarrow 0 \leq \sin \Theta \leq 1$
$\Rightarrow 0 \leq \sin^2 \Theta \leq 1$
$\Rightarrow 1 \leq 1+\sin^2 \Theta \leq 2$
$\Rightarrow 2 \leq 2(1+\sin^2 \Theta) \leq 4$
Therefore the $|A|\ \epsilon\ [2,4]$.
Hence, the correct answer is D.
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Exercise-wise NCERT Solutions of Determinants Class 12 Maths Chapter 4 are provided in the links below.
Question: If $\mathrm{x}, \mathrm{y}, \mathrm{z}$ are all different from zero and $\left|\begin{array}{ccc}1+x & 1 & 1 \\ 1 & 1+y & 1 \\ 1 & 1 & 1+z\end{array}\right|=0 \quad$, then value of $x^{-1}+y^{-1}+z^{-1}$ is:
Solution:
We have
$\left|\begin{array}{ccc}
1+x & 1 & 1 \\
1 & 1+y & 1 \\
1 & 1 & 1+z
\end{array}\right|=0$
Apply $\mathrm{C}_1 \rightarrow \mathrm{C}_1-\mathrm{C}_3$ and $\mathrm{C}_2 \rightarrow \mathrm{C}_2-\mathrm{C}_3$
$\left|\begin{array}{ccc}
x & 0 & 1 \\
0 & y & 1 \\
-z & -z & 1+z
\end{array}\right|=0$
Expand along Row 1
$\Rightarrow x[y(1+z)+z]-0+1(y z)=0 x y+x y z+x z+y z=0$
Divide both sides by XYZ
$\begin{aligned}
& \Rightarrow \frac{1}{x}+\frac{1}{y}+\frac{1}{z}+1=0 \\
& \therefore \frac{1}{x}+\frac{1}{y}+\frac{1}{z}=x^{-1}+y^{-1}+z^{-1}=-1
\end{aligned}$
Hence, the correct answer is $-1$.
Also, check,
Here is the list of important topics that are covered in Class 12 Chapter 4, Determinants:
Determinant of a Matrix: The determinant is the numerical value of a square matrix.
For a square matrix A of order n, the determinant is denoted by det A or |A|.
The minor of an element $a_{i j}$ in a determinant is the determinant obtained after deleting the $i^{\text {th }}$ row and $j^{\text {th }}$ column containing that element.
The cofactor of an element $a_{i j}$, denoted by $A_{i j}$ or $C_{i j}$, is defined as
$
A_{i j}=(-1)^{i+j} \cdot M_{i j}
$
where $M_{i j}$ represents the minor of the element $a_{i j}$.
For a $2 \times 2$ Matrix
If
$
A=\left[\begin{array}{ll}
a_{11} & a_{12} \\
a_{21} & a_{22}
\end{array}\right]
$
then,
$
|A|=a_{11} a_{22}-a_{12} a_{21}
$
For a $3 \times 3$ Matrix
If $A$ is a $3 \times 3$ matrix, then its determinant can be expanded as:
$
|A|=a_{11}\left|A_{11}\right|-a_{12}\left|A_{12}\right|+a_{13}\left|A_{13}\right|
$
where $\left|A_{i j}\right|$ represents the determinant of the minor corresponding to the element $a_{i j}$.
A square matrix is called singular if its determinant is zero.
A square matrix is called non-singular if its determinant is non-zero.
1. If $A$ and $B$ are non-singular matrices of the same order, then $A B$ and $B A$ are also non-singular matrices.
2. The determinant of the product of two matrices equals the product of their determinants:
$
|A B|=|A| \cdot|B|
$
The adjoint of a square matrix $A$ is defined as the transpose of the matrix formed by the cofactors of the elements of $A$. It is denoted by $\operatorname{adj}(A)$.
For a matrix $\boldsymbol{A}=\left[a_{i j}\right]_{n \times n,}$
$
\operatorname{adj}(\boldsymbol{A})=\left[\boldsymbol{A}_{j i}\right]_{n \times n}
$
where $A_{j i}$ is the cofactor of the element $a_{j i}$.
1. $A \cdot \operatorname{adj}(A)=\operatorname{adj}(A) \cdot A=|A| I_n$
2. $|\operatorname{adj}(A)|=|A|^{n-1}$
3. $\operatorname{adj}\left(\boldsymbol{A}^T\right)=(\operatorname{adj}(\boldsymbol{A}))^T$
The area of a triangle having vertices $\left(x_1, y_1\right),\left(x_2, y_2\right),\left(x_3, y_3\right)$ is given by:
$
\text { Area }=\frac{1}{2}\left|\begin{array}{lll}
x_1 & y_1 & 1 \\
x_2 & y_2 & 1 \\
x_3 & y_3 & 1
\end{array}\right|
$
For a non-singular square matrix $A$ (i.e., $|A| \neq 0$ ), the inverse of $A$ is defined as:
$A^{-1}=\frac{1}{|A|} \operatorname{adj}(A)$
1. $\left(A^{-1}\right)^{-1}=A$
2. $\left(A^T\right)^{-1}=\left(A^{-1}\right)^T$
3. $(A B)^{-1}=B^{-1} A^{-1}$
4. $(A B C)^{-1}=C^{-1} B^{-1} A^{-1}$
5. $\operatorname{adj}\left(\boldsymbol{A}^{-1}\right)=(\operatorname{adj}(\boldsymbol{A}))^{-1}$
Consider a system of linear equations represented as:
$
A X=B
$
where:
$A$ is the coefficient matrix,
$X$ is the variable matrix,
$B$ is the constant matrix.
Case I: $|A| \neq 0$
The system is consistent and has a unique solution given by:
$
X=A^{-1} B
$
Case II: $|A|=0$ and $(\operatorname{adj} A) B \neq 0$
The system is inconsistent and has no solution.
Case III: $|A|=0$ and $(\operatorname{adj} A) B=0$
The system may be consistent or inconsistent. If consistent, it has infinitely many solutions.
Determinants play a quite significant role in Class 12 mathematics, so here are some key steps on how to approach determinants-related questions effectively:
Understanding the basics: First of all, learn what a determinant is and how it is calculated. Then study all the different types of determinants to have a clear idea about them.
Learn and apply the properties: Study all the important properties of determinants, like swapping two rows changes the sign or the value of the determinant becomes zero if two rows or two columns are equal. Applying these properties will make solving determinant problems quite easy to handle.
Use the row and column operations: You can use the elementary operations, like making zeros in the rows or columns, which will simplify the problem before expanding the determinants.
Avoid common mistakes: Be careful about the sign changes in the cofactor expansion. Always try to double-check the values after transformations.
Tips and tricks: To improve your speed and accuracy, you have to practice many different types of questions from the ncert book, the exemplar book, and the previous year papers. Also, you need to revise the key concepts and formulas often in between to memorise them.
This chapter defines the concept of determinants and their properties and shows different methods of evaluating the determinants. The students learn minors, cofactors, expansion of determinants, adjoint, inverse of a matrix by use of determinants, applications of determinants in solving systems of linear equations, etc. The NCERT Solutions elucidate each concept with simple answers and stepwise explanations. The students practice about 61 textbook questions across 6 exercises to reinforce concepts and to develop skills in application-based questions. Regular practice helps to boost exam performance in time management, logical thinking, and accuracy. Good knowledge of determinants also makes many other topics in Mathematics easier.
The mathematics faculty at Careers360 views Determinants as a concept-based chapter that requires practice rather than memorisation. Students who understand the properties and applications of determinants are able to solve the que simplify conceptual clarity by providing clear explanations of problems. Experts also suggest that students learn by heart some properties and questions of textbooks repeatedly, since the students can have a better command over the tedious calculations involved in this Chapter. Students can take advantage of repeating this Chapter for practice in the CBSE Board exams as well as in many competitive exams like JEE Main, JEE Advanced.
Here is a comparison list of the concepts in Inverse Trigonometric Functions that are covered in JEE and NCERT, to help students understand what extra they need to study beyond the NCERT for JEE:
For the convenience of students, Careers360 provides complete NCERT Class 12 Maths Solutions together in one location. Simply click the links below to access.
Also Read,
Here are the subject-wise links for the NCERT solutions of class 12:
Given below are the class-wise solutions of class 12 NCERT:
Here are some useful links for the NCERT books and the NCERT syllabus for class 12
Frequently Asked Questions (FAQs)
A determinant is a number associated with a square matrix which is used to find solutions of a system of linear equations, adjoin of matrices, and eigenvalues of matrices.
It is a foundation chapter that helps in learning matrices, solving linear equations, cofactor expansion of matrices, and also readies you for higher Mathematics.
Chapter 4 'Determinants' has 6 exercises and approximately 61 textbook questions.
Minor is the determinant of the submatrix obtained by removing a row and a column from the matrix. The cofactor is the minor's value when multiplied by (-1) power row number, column number.
Determinants are used in engineering, computer graphics, economics, and statistics to solve systems of equations.
NCERT Solutions help in solving lengthy calculations and build conceptual clarity of the chapter as solutions are explained step-wise.
Yes. As determinants are part of most of the questions asked in JEE Main, JEE Advanced, NDA.
Practice each property of determinants, their expansion methods, cofactors, adjoint of matrices, and applications of determinants.
Practice each property of determinants thoroughly, practice regularly, and keep verifying the calculations stepwise.
Yes. These are good for preparation for the board exams.
On Question asked by student community
Hello Ananya,
Please specify the class for which you need the question papers. I am providing Class 10 and 12 papers.
Here are the links to the CBSE Half-yearly Question Papers (2025-2026).
Hello Ananya,
Please specify the class for which you need the question papers. I am providing Class 10 and 12 papers.
Here are the links to the CBSE Half-yearly Question Papers (2025-2026).
Hello Pawan,
CBSE Class 10 Mathematics 2026 and previous year question paper:
https://school.careers360.com/boards/cbse/cbse-class-10-question-paper-2026
CBSE Class 12 Mathematics 2026 and previous year question paper:
https://school.careers360.com/boards/cbse/cbse-previous-year-question-papers-class-12-maths
Hello Dharani,
Check the link below to download NCERT Class 12 previous year question papers in PDF format for all subjects.
https://school.careers360.com/boards/cbse/cbse-previous-year-question-papers-class-12
Hello Vipin,
Check the link below to download CBSE Class 12 question papers in PDF format for all subjects, including Mathematics.
https://school.careers360.com/boards/cbse/cbse-previous-year-question-papers-class-12
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