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    NCERT Solutions for Miscellaneous Exercise Chapter 4 Class 12 - Determinants

    NCERT Solutions for Miscellaneous Exercise Chapter 4 Class 12 - Determinants

    Komal MiglaniUpdated on 24 Apr 2025, 01:22 PM IST

    Imagine you are asked to solve different types of problems, like finding the area of a triangle using a determinant, checking if a system of equations has a solution, or finding the inverse of a matrix. How do you know which method to use? The Miscellaneous Exercise of NCERT Class 12 Maths Chapter 4 – Determinants brings together all the important topics from the chapter. It includes questions on: finding the value of determinants, using properties of determinants to simplify problems, calculating the area of a triangle using coordinates, solving systems of linear equations, finding the adjoint and inverse of a matrix. Miscellaneous Exercise of NCERT Class 12 Maths Chapter 4 helps you revise everything you have learned and tests your overall understanding. It is great for practice before exams. This article on the NCERT Solutions for miscellaneous exercise Class 12 Maths Chapter 4 - Determinant, offers clear and step-by-step solutions for the exercise problems to help the students understand the method and logic behind it. For syllabus, notes, and PDF, refer to this link: NCERT.

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    Class 12 Maths Chapter 4 Miscellaneous Exercise Solutions: Download PDF

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    Determinants Miscellaneous Exercise

    Question:1 Prove that the determinant $\begin{vmatrix} x & \sin \theta &\cos \theta \\ -\sin \theta &-x & 1\\ \cos \theta &1 &x \end{vmatrix}$ is independent of $\theta$.

    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 $\Theta$.

    Question:2 Without expanding the determinant, prove that
    $\begin{vmatrix} a &a^2 &bc \\ b& b^2 &ca \\ c & c^2 &ab \end{vmatrix}= \begin{vmatrix} 1 &a^2 &a^3 \\ 1 &b^2 &b^3 \\ 1 & c^2 &c^3 \end{vmatrix}$

    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.

    Question:3 Evaluate $\begin{vmatrix} \cos \alpha \cos \beta & \cos \alpha \sin \beta &-\sin \alpha \\ -\sin \beta & \cos \beta &0 \\ \sin \alpha \cos \beta &\sin \alpha \sin \beta & \cos \alpha \end{vmatrix}$.

    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.


    Also read,

    Topics Covered in Chapter 4, Determinants: Miscellaneous Exercise

    Here are the main topics covered in NCERT Class 12 Chapter 4, Determinants: Miscellaneous Exercise.

    1. Evaluation of Determinants: Practice of expanding 3×3 determinants along any row or column using minors and cofactors.

    2. Properties of Determinants: Apply key properties like row/column interchange, scalar multiplication, and linear combinations to simplify determinants.

    3. Area of a Triangle Using Determinants: Use coordinate geometry and the determinant formula to find the area of a triangle formed by three points.

    4. Consistency and Inconsistency of Systems: Determine whether systems of linear equations have unique solutions, no solutions, or infinitely many solutions based on determinant values.

    5. Adjoint and Inverse of a Matrix: Calculate the adjoint and use it to find the inverse of a square matrix, then verify it through matrix multiplication.

    6. Solving Linear Equations Using Matrix Inverse: Apply the formula $X=A^{-1} B$ to find the solution of a system of equations expressed in matrix form.

    Also, read,

    NCERT Solutions of Class 12 Subject Wise

    Given below are some useful links for subject-wise NCERT solutions of class 12.

    JEE Main Highest Scoring Chapters & Topics
    Just Study 40% Syllabus and Score upto 100%
    Download EBook
    CBSE Class 12th Syllabus: Subjects & Chapters
    Select your preferred subject to view the chapters

    Frequently Asked Questions (FAQs)

    Q: If |A| = 3 and the first row matrix A is multiplied by 3 then what is the value of |A|?
    A:

    If first row of matrix A is multiplied by 3 then the new value of |A| = 3x3 = 9.

    Q: Can you find the inverse of a singular matrix ?
    A:

    No, singular matrices are non-invertible.

    Q: If transpose of matrix A and matrix A are equal then such matrix is called ?
    A:

    If the transpose of matrix A and matrix A are equal then such matrix is called symmetric matrix.

    Q: What is the definition of diagonal matrix ?
    A:

    The matrix has all the non-diagonal elements zero is called a diagonal matrix.

    Q: Do all the identity matrices are diagonal matrices ?
    A:

    Yes,  all the identity matrices are diagonal matrices.

    Q: Do CBSE provides solutions for miscellaneous exercise ?
    A:

    No, CBSE doesn't provide NCERT solutions for miscellaneous exercises.

    Q: What is the value of determinant, If any two rows of a determinant are identical ?
    A:

    The value of the determinant is zero if any two rows of a determinant are identical.

    Q: What is the value of determinant if any two rows of a determinant are proportional ?
    A:

    The value of the determinant is zero If any two rows of a determinant are proportional.

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