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Published on: 15/02/2020
12th Standard CBSE Mathematics Board Exam Model Question Paper IV 2020
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1.
Find the value of determinant \(\triangle =\left\lfloor \begin{matrix} 1 & 2 & 4 \\ 8 & 16 & 32 \\ 64 & 128 & 256 \end{matrix} \right\rfloor \)
2.
It is possible to have the product of two matrices to be the null matrix.
While neither of them is the null matrix? if it is so, give an example
3.
If x = \(\frac { at }{ 1+{ t }^{ 2 } } ,y=\frac { a{ t }^{ 2 } }{ 1+{ t }^{ 2 } } ,find\frac { dy }{ dx } at\) t = 2
4.
If y = log(sin x), find \(\frac { { d }^{ 2 }y }{ d{ x }^{ 2 } } \)
5.
Let * be a binary operation on the set R defined by a*b = a + b + ab, a, b \(\in R\) Solve the equation 2*(3*x) = 33
6.
Prove that every square matrix can be uniquely expressed as the sum of a symmetric matrix and skew symmetric matrix.
7.
Write in the simplest form : \(sin\left[ 2{ tan }^{ -1 }\sqrt { \frac { 1-x }{ 1+x } } \right] \)
8.
show that : \({ tan }^{ -1 }\frac { 1 }{ 4 } +{ tan }^{ -1 }\frac { 2 }{ 9 } =\frac { 1 }{ 2 } { tan }^{ -1 }\frac { 4 }{ 3 } \)
9.
Find \(\frac { 1 }{ 2 } \left( A+{ A }^{ \prime } \right) \) and \(\frac { 1 }{ 2 } \left( A-{ A }^{ \prime } \right) \) . If \(A=\left[ \begin{matrix} 0 & a & b \\ -a & 0 & c \\ -b & -c & 0 \end{matrix} \right] \)
10.
If \(A=\left| \begin{matrix} 6 & 0 & 1 \\ 0 & 1 & 2 \\ 0 & 0 & 4 \end{matrix} \right| \), then show that |2A| = 8|A|:
11.
If \(A=\left| \begin{matrix} 2 & 3 & -1 \\ 4 & 1 & 0 \\ 3 & 3 & 2 \end{matrix} \right| \) , find \(M_{ 12 }\times M_{ 21 }+C_{ 21 }\times C_{ 12 }\) when Mjj called minor and Cjj called co-factors of A.
12.
Differentiate \({ e }^{ m \ tan^{ -1 } }x\), with respect to x.
13.
Show that the relation R:{1, 2, 3}\(\rightarrow\){1, 2, 3} given by R={(1, 1), (2, 2), (3, 3), (1, 2), (2, 3)} is reflexive but neither symmetric nor transitive.
14.
Let S be the set of all real numbers except 1 and '*' an operation on S defined by:
aob = a+b - ab for all \(a,b\in S\).
Prove that
(i) S is closed under given operation
(ii) the given operation is:
(a) commutative
(b) associative.
15.
For the function \(f\left( x \right) ={ x }^{ 3 }-{ 6x }^{ 2 }+ax+b\), it is given that f(1) = f(3) = 0. Find the values of a and b and hence verify Rolle's Theorem on [1, 3].
16.
If \({ x }^{ 16 }{ y }^{ 9 }={ \left( { x }^{ 2 }+y \right) }^{ 17 },\)prove that \(\frac { dy }{ dx } =\frac { 2y }{ x } \)
17.
Let A = R-{3} and B = R-{1} Consider the function \(f:A\rightarrow B\) be defined by \(f(x)=\left( \frac { x-2 }{ x-3 } \right) \). Is f one-one and onto? Justify your answer.
18.
Find non-zero values of x, satisfying the matrix equation:
\(x\begin{bmatrix} 2x & 2 \\ 3 & x \end{bmatrix}+2\begin{bmatrix} 8 & 5x \\ 4 & 4x \end{bmatrix}=2\begin{bmatrix} { x }^{ 2 }+8 & 24 \\ 10 & 6x \end{bmatrix}.\)
19.
prove that :
\(\left| \begin{matrix} x & { x }^{ 2 } & yz \\ y & { y }^{ 2 } & zx \\ z & { z }^{ 2 } & xy \end{matrix} \right| =(x-y)(y-z)(z-x)(xy+yz+zx)\)
20.
Using the property of determinants \(\left| \begin{matrix} 0 & a & -b \\ -a & 0 & -c \\ b & c & 0 \end{matrix} \right| =0\)
21.
Let \(f(x)=\left[ \begin{matrix} cosx & -sinx & 0 \\ sinx & cosx & 0 \\ 0 & 0 & 1 \end{matrix} \right] \) Show that f(x)f(y) = f(x+y).
22.
Show that :
\({ sin }^{ -1 }(2x\sqrt { 1-{ x }^{ 2 } } )={ 2cos }^{ -1 }x,\frac { 1 }{ \sqrt { 2 } } \le x\le 1.\)
23.
Find the principal value of \({ \sin }^{ -1 }\left( \frac { 1 }{ \sqrt { 2 } } \right) \)
24.
Find the principal values of the following:
cosec-12
25.
Without expanding find the value of the following determinant \(\triangle =\left| \begin{matrix} sin\alpha & cos\alpha & cos\left( \alpha +\eth \right) \\ sin\beta & cos\beta & cos\left( \beta +\eth \right) \\ sin\gamma & cos\gamma & cos\left( \gamma +\eth \right) \end{matrix} \right| \)
26.
If A = \(\left[ \begin{matrix} 3 & 1 \\ 7 & 5 \end{matrix} \right] \) find x, y such that A2 +xI = yA Hence find A-1
27.
Prove that \(\tan ^{-1}\left(\frac{\sqrt{1+x^{2}}+\sqrt{1-x^{2}}}{\sqrt{1+x^{2}}-\sqrt{1-x^{2}}}\right)=\frac{\pi}{4}+\frac{1}{2} \cos ^{-1} x^{2}\)
28.
Using matrices, solve the following system of linear equations:
x + y - z = 3,
2x + 3y + z = 10,
3x - y - 7z = 1.
29.
If \(\\ f\left( x \right) =\begin{cases} \frac { sin\left( a+1 \right) x+2sinx }{ x } ,x<0 \\ \quad 2\quad\quad\quad\quad ,x=0 \\ \frac { \sqrt { 1+bx } -1 }{ x } \quad \quad ,x>0 \end{cases}\\ \)
is continuous at x = 0, then find the values of a and b.
30.
Consider \(f:R_{ + }\rightarrow [-5,\infty )\) given by f(x) = 9x2 + 6x - 5 Show that f is invertible find f-1(x) where R+ is the set of all non-negative real numbers.
31.
For the following matrices A and B, verify that (AB)'=B'A'
\(A=\left[ \begin{matrix} 1 \\ -4 \\ 3 \end{matrix} \right] ,B=\left[ \begin{matrix} -1 & 2 & 1 \end{matrix} \right] \)
32.
In the set N x N the relation R is defined by (a, b) R (c, d) ⇔ ad = bc. Then R is
symmetric and transitive but not reflexive
reflexive and transitive but not symmetric
Equivalence relation
Partial order relation
33.
Which of the following is correct
Determinant is a square matrix
Determinant is a number associated to a matrix
Determinant is a number associated to a square matrix
None of these
34.
If y = xx-∞, then x(l -y log x)\(\frac { dy }{ dx } \) is equal to
x²
y²
xy²
x²y
35.
If sec-1 x + sec-1 y = the value of cosec-1x + cosec-1y is
\(\pi\)
\(\frac{\pi}{2}\)
\(\frac{3\pi}{2}\)
≥-ㅠ
1.
0 (Using properties)
2.
Under what conditions is the matrix equation
A2 -B2 = (A-B)(A+B)is true
\(A=\left[ \begin{matrix} 0 & 2 \\ 0 & 0 \end{matrix} \right] B=\left[ \begin{matrix} 1 & 0 \\ 0 & 0 \end{matrix} \right] AB=\left[ \begin{matrix} 0 & 2 \\ 0 & 0 \end{matrix} \right]
\)
3.
We have, x = \(\frac { at }{ 1+{ t }^{ 2 } } ,y=\frac { { at }^{ 2 } }{ 1+{ t }^{ 2 } } \)
\(\frac { dx }{ dt } =\frac { { (1+t) }^{ 2 }a-at(2t) }{ { (1+{ t }^{ 2 }) }^{ 2 } } \)
\(\Rightarrow\) \(\frac { dx }{ dt } =\)\(\frac { a+a{ t }^{ 2 }-2a{ t }^{ 2 } }{ { (1+{ t }^{ 2 }) }^{ 2 } } \)
=\(\frac { a-a{ t }^{ 2 } }{ { (1+{ t }^{ 2 }) }^{ 2 } } \)
and \(\frac { dy }{ dt } =\frac { { (1+{ t }^{ 2 } })^{ 2 }2at-a{ t }^{ 2 }(2t) }{ { (1+{ t }^{ 2 } })^{ 2 } } \)
\(\Rightarrow\)\(\frac { dy }{ dt } =\frac { 2at+2a{ t }^{ 3 }-2a{ t }^{ 3 } }{ { (1+{ t }^{ 2 }) }^{ 2 } } =\frac { 2at }{ { (1+{ t }^{ 2 }) }^{ 2 } } \)
\(\therefore\) \(\frac { dy }{ dx } =\frac { 2at }{ { (1+{ t }^{ 2 } })^{ 2 } } \times \frac { { (1+{ t }^{ 2 } })^{ 2 } }{ a-a{ t }^{ 2 } } \)
\(=\frac { 2at }{ a-a{ t }^{ 2 } } =\frac { 2t }{ 1-{ t }^{ 2 } } \)
\({ (\frac { dy }{ dx } ) }_{ att=2 }\) = \(\frac { 2(2) }{ 1-4 } \)
= -4/3
4.
We have y = log(sin x)
dy/dx = d/dx \(\left| log(sinx) \right| \)
= \(\frac { 1 }{ sinx } \times cosx\)
\(\Rightarrow\) dy/dx = cot x
\(\therefore\) \(\frac { { d }^{ 2 }y }{ dx^{ 2 } } =-{ cosec }^{ 2 }x\)
5.
We have 2*(3*x) = 33
\(\Rightarrow 2*(3+x+3x)=33\)
\(\Rightarrow 2*(3+4x)=33\)
\(\Rightarrow 2+(3+4x)+2(3+4x)=33\)
\(\Rightarrow 2+3+4x+6+8x=33\)
\(\Rightarrow 12x+11=33\)
\(\Rightarrow 12x=22\Rightarrow x=\frac { 11 }{ 6 } \)
6.
Let A be any square matrix. Then,
\(A=\frac { 1 }{ 2 } \left( A+{ A }^{ T } \right) +\frac { 1 }{ 2 } \left( A-{ A }^{ T } \right) \)
= P + Q (say),
where, \(P=\frac { 1 }{ 2 } \left( A+{ A }^{ T } \right) \)
and \(Q=\frac { 1 }{ 2 } \left( A-{ A }^{ T } \right) \)
Now, \({ P }^{ T }=\left[ \frac { 1 }{ 2 } \left( A+{ A }^{ T } \right) \right] ^{ T }\)
\(=\frac { 1 }{ 2 } \left( A+{ A }^{ T } \right) ^{ T }\quad \left[ \because \quad \left( KA \right) ^{ T }=K.{ A }^{ T } \right] \)
\(\Rightarrow \ { P }^{ T }=\frac { 1 }{ 2 } \left[ { A }^{ T }+\left( { A }^{ T } \right) ^{ T } \right] \) \(\left[ \because \ \left( A+B \right) ^{ T }={ A }^{ T }+{ B }^{ T } \right] \)
\(\Rightarrow \ { P }^{ T }=\frac { 1 }{ 2 } \left( { A }^{ T }+A \right) \) \(\left[ \because \ \left( { A }^{ I } \right) ^{ T }=A \right] \)
\(\Rightarrow { P }^{ T }=\frac { 1 }{ 2 } \left( A{ +A }^{ T } \right) =P\)
\(\therefore \) P is symmetric matrix.
Also, \({ Q }^{ T }=\frac { 1 }{ 2 } \left( A-{ A }^{ T } \right) ^{ T }\)
\(=\frac { 1 }{ 2 } \left( A-{ A }^{ T } \right) ^{ T }\)
\(=\frac { 1 }{ 2 } \left[ { A }^{ T }-\left( { A }^{ T } \right) ^{ T } \right] \)
\(=\frac { 1 }{ 2 } \left[ { A }^{ T }-A \right] \)
\({ \Rightarrow Q }^{ T }=\frac { 1 }{ 2 } \left[ A-{ A }^{ T } \right] =-Q\)
\(\therefore \) Q is skew symmetric matrix.
Thus, A = P + Q, where P is a symmetric matrix and Q is a skew symmetric matrix.
Hence, A is expressible as the sum of a symmetric and a skew symmetric matrix.
Uniqueness : If possible, let A = R + S, where R is symmetric and S is skew symmetric, then
AT = (R + S)T = RT + ST
\(\Rightarrow \) AT = R - S (\(\because \) RT = R and ST = - S)
Now, A = R + S and AT = R - S
\(\Rightarrow R=\frac { 1 }{ 2 } \left[ A+{ A }^{ T } \right] =P\)
\(S=\frac { 1 }{ 2 } \left[ A-{ A }^{ T } \right] =Q\)
Hence, A is uniquely expressible as the sum of a symmetric and a skew symmetric matrix.
7.
Let x = cos 2\(\theta \)
\(=sin\left[ 2t{ an }^{ -1 }\sqrt { \frac { 1-cos2\theta }{ 1+cos2\theta } } \right] \)
\(=sin\left[ 2tan^{ -1 }\sqrt { \frac { 2{ sin }^{ 2 }\theta }{ 2{ cos }^{ 2 }\theta } } \right] \)
\(\left[ \because cos2\theta =1-2{ sin }^{ 2 }\theta \ and\ cos\ 2\theta =2{ cos }^{ 2 }\theta -1 \right] \)
\(=sin\left[ 2{ tan }^{ -1 }\left( tan\quad \theta \right) \right] \)
\(=sin(2\theta )=\sqrt { 1-{ cos }^{ 2 }2\theta } \)
\(=sin\quad 2\theta =\sqrt { 1-{ x }^{ 2 } } \)
8.
\(LHS={ tan }^{ -1 }\frac { 1 }{ 4 } +{ tan }^{ -1 }\frac { 2 }{ 9 } \)
\(={ tan }^{ -1 }\left[ \frac { \frac { 1 }{ 4 } +\frac { 2 }{ 9 } }{ 1-\frac { 1\times 2 }{ 4\times 9 } } \right] \)
\(\left[ { tan }^{ -1 }x+{ tan }^{ -1 }y={ tan }^{ -1 }\frac { x+y }{ 1-xy } \right] \)
\(={ tan }^{ -1 }\left[ \frac { \frac { 9+8 }{ 36 } }{ \frac { 36-2 }{ 36 } } \right] \)
\(={ tan }^{ -1 }\left( \frac { 17 }{ 34 } \right) ={ tan }^{ -1 }\left( \frac { 1 }{ 2 } \right) \)
\(=\frac { 1 }{ 2 } \left( 2{ tan }^{ -1 }\frac { 1 }{ 2 } \right) =\frac { 1 }{ 2 } { tan }^{ -1 }\left( \frac { 2\times \frac { 1 }{ 2 } }{ 1-\frac { 1 }{ 4 } } \right) \)
\(\because \left[ 2{ tan }^{ -1 }={ tan }^{ -1 }\left( \frac { 2x }{ 1-{ x }^{ 2 } } \right) \right] \)
\(=\frac { 1 }{ 2 } { tan }^{ -1 }\left( \frac { 1 }{ 3/4 } \right) =\frac { 1 }{ 2 } { tan }^{ -1 }\left( \frac { 4 }{ 3 } \right) \)
9.
We have, \(A=\left[ \begin{matrix} 0 & a & b \\ -a & 0 & c \\ -b & -c & 0 \end{matrix} \right] \)
\({ A }^{ \prime }=\left[ \begin{matrix} 0 & -a & -b \\ a & 0 & -c \\ b & c & 0 \end{matrix} \right] \)
\({ A+A }^{ \prime }=\left[ \begin{matrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{matrix} \right] \)
\(\Rightarrow \frac { 1 }{ 2 } { A+A }^{ \prime }=\frac { 1 }{ 2 } \left[ \begin{matrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{matrix} \right] =0\)
and \({ A-A }^{ \prime }=\left[ \begin{matrix} 0 & 2a & 2b \\ -2a & 0 & 2c \\ -2b & -2c & 0 \end{matrix} \right] \)
\(\Rightarrow \frac { 1 }{ 2 } { A-A }^{ \prime }=\frac { 1 }{ 2 } \left[ \begin{matrix} 0 & 2a & 2b \\ -2a & 0 & 2c \\ -2b & -2c & 0 \end{matrix} \right] \)
\(\Rightarrow A=\left[ \begin{matrix} 0 & a & b \\ -a & 0 & c \\ -b & -c & 0 \end{matrix} \right] \)
10.
We have, \(A=\left| \begin{matrix} 6 & 0 & 1 \\ 0 & 1 & 2 \\ 0 & 0 & 4 \end{matrix} \right| \)
|A| = 6(4-0)-0(0-0)+1(0-0)
|2A| = \(\left| \begin{matrix} 12 & 0 & 2 \\ 0 & 2 & 4 \\ 0 & 0 & 8 \end{matrix} \right| \)
= 12(16-0)-0(0-0)+2(0-0)
= 192
|2A| = 8 x 24 = 8|A|
11.
We have, \(A=\left| \begin{matrix} 2 & 3 & -1 \\ 4 & 1 & 0 \\ 3 & 3 & 2 \end{matrix} \right| \)
\(M_{ 12 }\left| \begin{matrix} 4 & 0 \\ 3 & 2 \end{matrix} \right| =8-0=8\)
\(M_{ 21 }\left| \begin{matrix} 3 & -1 \\ 3 & 2 \end{matrix} \right| =6+3=9\)
\(C_{ 21 }=-\left| \begin{matrix} 3 & -1 \\ 3 & 2 \end{matrix} \right| =-(6+3)=-9\)
\(C_{ 12 }=-\left| \begin{matrix} 4 & 0 \\ 3 & 2 \end{matrix} \right| =-(8-0)=-8\)
\( M_{ 12 }\times M_{ 21 }+C_{ 21 }\times C_{ 12 }\)
\( 8\times (9)+(-9)(-8)=72+72\)
\(=144\)
12.
\(\frac { d }{ dx } \left( { e }^{ m\quad tan^{ -1 } }x \right) ={ e }^{ m\quad tan^{ -1 }x }.\frac { m }{ 1+{ x }^{ 2 } } =\frac { me^{ m\quad tan^{ -1 }x } }{ 1+{ x }^{ 2 } } \)
13.
For reflexive : As (1, 1), (2, 2), (3, 3) ∈ R. Hence, reflexive
For Symmetric: (1, 2) ∈ R but (2, 1) ∉ R. Hence, not symmetric
For transitive: (1, 2) ∈ R and (2, 3) ∈ R but (1, 3) ∉ R.Hence, not transitive
Hence, R is not an equivalence relation
14.
(i) Let \(a,b\in S\) Then \(a\neq 1,b\neq 1\)
To Prove: \(a+b-ab\neq 1\)
If possible, let a+b-ab=1
\(\Rightarrow a+b-ab-1=0\)
\(\Rightarrow ab-a-b+1=0\)
\(\Rightarrow a(b-1)-(b-1)=0\)
\(\Rightarrow (a-1)(b-1)=0\)
\(\Rightarrow a=1\ or\ b=1,\)
Which is contrary to hypothesis.
Thus \(a+b-ab\neq 1\) for all , \(a,b\in S\)
Hence, S is closed under given operation.
(ii) (a) For all \(a,b\in S\) ,
aob = a+b-ab = b+a-ba = boa.
Hence, the given operation is commutative.
(b) For \(a,b,c\in S,\)
(aob)oc = (a+b-ab)oc
= (a+b-ab)+c-(a+b-ab)c
= a+b+c-ab-bc-ac+abc
and ao(boc) = ao(b+c-bc)
= a+(b+c-bc)-a(b+c-bc)
= a+b+c-ab-bc-ac+abc.
Thus (aob)oc = a0(boc).
Hence, the given operation is associative.
15.
For the function \(f\left( x \right) ={ x }^{ 3 }-{ 6x }^{ 2 }+ax+b\), it is given that f(1) = f(3) = 0.
Find the values of a and b and hence verify Rolle's Theorem on [1, 3].
16.
We have: \({ x }^{ 16 }{ y }^{ 9 }={ \left( { x }^{ 2 }+y \right) }^{ 17 },\)
Taking logs., \(log({ x }^{ 16 }{ y }^{ 9 })=log{ \left( { x }^{ 2 }+y \right) }^{ 17 }\)
\(16logx+9logy=17log\left( { x }^{ 2 }+y \right) \)
\( \frac { 16 }{ x } +\frac { 9 }{ y } .\frac { dy }{ dx } =17\frac { 1 }{ { x }^{ 2 }+y } \left[ 2x+\frac { dy }{ dx } \right] \)
\(=\left[ \frac { 9 }{ y } -\frac { 17 }{ { x }^{ 2 }+y } \right] \frac { dy }{ dx } =\frac { 34x }{ { x }^{ 2 }+y } -\frac { 16 }{ x } \)
\(=\frac { { 9x }^{ 2 }+9y-17y }{ y\left( { x }^{ 2 }+y \right) } \frac { dy }{ dx } =\frac { { 34x }^{ 2 }-{ 16x }^{ 2 }-16y }{ x\left( { x }^{ 2 }+y \right) }\)
\(=\frac { 1 }{ y } \left( { 9x }^{ 2 }-8y \right) \frac { dy }{ dx } =\frac { 1 }{ x } \quad \left( { 18x }^{ 2 }-16y \right) \)
\(\frac { 1 }{ y } \quad \frac { dy }{ dx } =\frac { 2 }{ x } \)
\(\frac { dy }{ dx } =\quad \frac { 2y }{ x } \)
17.
Let \(x_{ 1 },x_{ 2 }\in R-\{ 3\} \)
Now \(f(x_{ 1 })=f(x_{ 2 })\)
\(\Rightarrow \) \(\frac { x_{ 1 }-2 }{ x_{ 1 }-3 } =\frac { x_{ 2 }-2 }{ x_{ 2 }-3 } \)
\(\Rightarrow \) \((x_{ 1 }-2)(x_{ 2 }-3)=(x_{ 2 }-2)(x_{ 1 }-3)\)
\(\Rightarrow \) \(x_{ 1 }x_{ 2 }-3x_{ 1 }-2x_{ 2 }+6=\) \(x_{ 2 }x_{ 1 }-3x_{ 2 }-2x_{ 1 }+6\)
\(\Rightarrow \) \(-3x_{ 1 }-2x_{ 2 }=3x_{ 2 }-2x_{ 1 }\)
\(\Rightarrow \) \(x_{ 1 }=x_{ 2 }\)
\(\Rightarrow \) \(f\) is one-one.
Let \(y\in R-\{ 1\} \).
Then f(x)=y.
When \(\left( \frac { x-2 }{ x-3 } \right) =y,x\neq 3\)
\(\Rightarrow \) x - 2 = yx - 3y
\(\Rightarrow \) x - xy = 2 - 3y
\(\Rightarrow \) \(x=\frac { 2-3y }{ 1-y } \in A\)
\(\left[ \because \frac { 2-3y }{ 1-y } =3-\frac { 1 }{ 1-y } \neq 3\quad \right] \)
\(\therefore \) Corresponding to each \(y\in B\), there exists \(\frac { 2-3y }{ 1-y } \in A\)
such that \(f\left( \frac { 2-3y }{ 1-y } \right) =y\)
\(\Rightarrow \)f is onto.
Hence, 'f' is one-one and onto.
18.
We have: \(x\begin{bmatrix} 2x & 2 \\ 3 & x \end{bmatrix}+2\begin{bmatrix} 8 & 5x \\ 4 & 4x \end{bmatrix}=2\begin{bmatrix} { x }^{ 2 }+8 & 24 \\ 10 & 6x \end{bmatrix}.\)
\(x\begin{bmatrix} 2x & 2 \\ 3 & x \end{bmatrix}+2\begin{bmatrix} 8 & 5x \\ 4 & 4x \end{bmatrix}=2\begin{bmatrix} { x }^{ 2 }+8 & 24 \\ 10 & 6x \end{bmatrix}.\)
\(\Rightarrow \ \begin{bmatrix} { 2x }^{ 2 } & 2x \\ 3x & { x }^{ 2 } \end{bmatrix}+\begin{bmatrix} 16 & 10x \\ 8 & 8x \end{bmatrix}=\begin{bmatrix} { 2x }^{ 2 }+16 & 48 \\ 20 & 12x \end{bmatrix}\)
\(\Rightarrow \ \begin{bmatrix} { 2x }^{ 2 }+16 & 12x \\ 3x+8 & { x }^{ 2 }+8x \end{bmatrix}=\begin{bmatrix} { 2x }^{ 2 }+16 & 48 \\ 20 & 12x \end{bmatrix}\)
Comparing, \(12x=48,\quad 3x+8=20,\quad and\quad { x }^{ 2 }+8x=12x.\)
All these give \(x=4\)
19.
\(\left| \begin{matrix} x & { x }^{ 2 } & yz \\ y & { y }^{ 2 } & zx \\ z & { z }^{ 2 } & xy \end{matrix} \right| \)
= \(\left| \begin{matrix} x-y & { x }^{ 2 }-y^2 & yz-zx \\ y-z & { y }^{ 2 }-z^2 & zx-xy \\ z & { z }^{ 2 } & xy \end{matrix} \right| \)
[Operating R\(\rightarrow\)R1-R2 & R\(\rightarrow\)R2-R3] =
\(\left| \begin{matrix} x-y & (x-y)(x+y) & z(y-x) \\ y-z &(y-z)(y+z)& x(z-y)\\ z & { z }^{ 2 } & xy \end{matrix} \right| \)
= \((x-y)(y-z)\left| \begin{matrix}0 &x-z&-z+x \\ 1 & y+z &-x \\ z & { z }^{ 2 } & xy \end{matrix} \right| \)
[Taking (z-x)common from R1]
\((x-y)(y-z)(z-x)\left| \begin{matrix} 0 &-1 & -1 \\ 1 & y+z & -x \\ z & z^2 & xy \end{matrix} \right| \)
\((x-y)(y-z)(z-x)\left| \begin{matrix} 0 & 0 & -1 \\ 1 & x+y+z & -x \\ z & z^2-xy & xy \end{matrix} \right| \)
\((x-y)(y-z)(z-x)(-1)\left| \begin{matrix} 1 & x+y+z \\z &z^2-xy\end{matrix} \right| \)
= (x-y) (y-z) (z-x) (-1) [z2-xy-zx-yz-z2]
= (x-y) (y-z) (z-x) (1) (-xy-yz-zx)
= (x-y) (y-z) (z-x) (xy+yz+zx)
20.
\(\Delta=\left| \begin{matrix} 0 & a & -b \\ -a & 0 & -c \\ b & c & 0 \end{matrix} \right| \)
=\(\left| \begin{matrix} 0 & -a & b \\a & 0 &c \\- b & -c & 0 \end{matrix} \right| \)
=\((-1)^3=\left| \begin{matrix} 0 & a &- b \\-a & 0 &-c \\ b & c & 0 \end{matrix} \right| \)
\(=-\left|\begin{matrix}0&a&-b\\ -a&0&-c\\b&c&0\end{matrix}\right|\)
\(\Rightarrow2\Delta=0\ \Rightarrow \Delta=0\)
21.
Here,
\(f(x)f(y)=\left[ \begin{matrix} cosx & -sinx & 0 \\ sinx & cosx & 0 \\ 0 & 0 & 1 \end{matrix} \right] \left[ \begin{matrix} cosy & -siny & 0 \\ siny & cosy & 0 \\ 0 & 0 & 1 \end{matrix} \right] \)
\(=\left[ \begin{matrix} cosxcosy-sinxsiny & -sinycosx-sinxcosy & 0 \\ sinxcosy+cosxsiny & -sinxsiny+cosxcosy & 0 \\ 0 & 0 & 1 \end{matrix} \right]\)
\( =\left[ \begin{matrix} cos(x+y) & -sin(x+y) & 0 \\ sin(x+y) & cos(x+y) & 0 \\ 0 & 0 & 1 \end{matrix} \right] \)
\(=f(x+y).\)
22.
Take x = cos θ, then proceeding as above, we get, \({ \sin }^{ -1 }(2x\sqrt { 1-{ x }^{ 2 } } )\) = 2 cos–1 x
23.
Let \({ sin }^{ -1 }\left( \frac { 1 }{ \sqrt { 2 } } \right) =y\), Then \(\sin y=\frac{1}{\sqrt{2}}\)
We know that the range of the principal value branch of \(\sin ^{-1} \text { is }\left(\frac{-\pi}{2}, \frac{\pi}{2}\right)\) and \(\sin \left(\frac{\pi}{4}\right)=\frac{1}{\sqrt{2}}\)
Therefore, principal value of \({ sin }^{ -1 }\left( \frac { 1 }{ \sqrt { 2 } } \right) is \ \frac { \pi }{ 4 } \)
24.
Let cosec−1 (2) = y. Then,\(\cos e c y=2=\cos e c\left(\frac{\pi}{6}\right)\)
We know that the range of the principal value branch of cosec−1 is \(\left[-\frac{\pi}{2}, \frac{\pi}{2}\right]-\{0\}\)
Therefore, the principal value of \(\cos e c^{-1}(2) \text { is } \frac{\pi}{6}\)
25.
0
26.
x =8 y = 8
27.
\(\mathrm{LHS}=\tan ^{-1}\left(\frac{\sqrt{1+x^{2}}+\sqrt{1-x^{2}}}{\sqrt{1+x^{2}}-\sqrt{1-x^{2}}}\right) \)
\(\text { Put } x^{2}=\cos 2 \theta, \text { then } \)
\(\mathrm{LHS}=\tan ^{-1}\left(\frac{\sqrt{1+\cos 2 \theta}+\sqrt{1-\cos 2 \theta}}{\sqrt{1+\cos 2 \theta}-\sqrt{1-\cos 2 \theta}}\right)\)
\( \tan ^{-1}\left(\frac{\sqrt{2} \cos \theta+\sqrt{2} \sin \theta}{\sqrt{2} \cos \theta-\sqrt{2} \sin \theta}\right)\)
\(\tan ^{-1}\left(\frac{\cos \theta+\sin \theta}{\cos \theta-\sin \theta}\right)=\tan ^{-1}\left(\frac{1+\tan \theta}{1-\tan \theta}\right)\)
[divide numerator and denominator inside the bracket by \(cos \theta]\)
28.
The given system of equations can be written as
AX = B ..(i)
where \(A=\left[ \begin{matrix} 1 & 1 & -1 \\ 2 & 3 & 1 \\ 3 & -1 & -7 \end{matrix} \right] ,\)
\(X=\left[ \begin{matrix} x \\ y \\ z \end{matrix} \right] and\quad B=\left[ \begin{matrix} 3 \\ 10 \\ 1 \end{matrix} \right] \)
Now, \(|A|=\left| \begin{matrix} 1 & 1 & -1 \\ 2 & 3 & 1 \\ 3 & -1 & -7 \end{matrix} \right| \)
= 1(-21+1) -1(-14-3) -1(-2-9)
= -20 + 17 + 11 = 8 \(\ne\)0
The given system of equations is consistent and have unique solution.
Let Cij be the cofactor of the element aij in the determinant A, then
C11 = -20, C12 = 17, C13 = -11
C21 = 8, C22 = -4, C23 = 4
C31 = 4, C32 = -3, C33 = 1
\(\therefore \ { A }^{ -1 }=\frac { 1 }{ \left| A \right| } (adj\quad A)=\frac { 1 }{ 8 } { [{ C }_{ ij }] }^{ T }\)
\(=\frac { 1 }{ 8 } { \left[ \begin{matrix} -20 & 17 & -11 \\ 8 & -4 & 4 \\ 4 & -3 & 1 \end{matrix} \right] }^{ T }\)
\(=\frac { 1 }{ 8 } { \left[ \begin{matrix} -20 & 8 & 4 \\ 17 & -4 & -3 \\ -11 & 4 & 1 \end{matrix} \right] }\)
From (i), \(X={ A }^{ -1 }B\)
\(\Rightarrow \left[ \begin{matrix} x \\ y \\ z \end{matrix} \right] =\frac { 1 }{ 8 } { \left[ \begin{matrix} -20 & 8 & 4 \\ 17 & -4 & -3 \\ -11 & 4 & 1 \end{matrix} \right] }\left[ \begin{matrix} 3 \\ 10 \\ 1 \end{matrix} \right] \)
\(\Rightarrow \left[ \begin{matrix} x \\ y \\ z \end{matrix} \right] =\frac { 1 }{ 8 } { \left[ \begin{matrix} -60+80+4 \\ 51-40-3 \\ -33+40+1 \end{matrix} \right] }=\frac { 1 }{ 8 } \left[ \begin{matrix} 24 \\ 8 \\ 8 \end{matrix} \right] \)
\(\Rightarrow \left[ \begin{matrix} x \\ y \\ z \end{matrix} \right] =\left[ \begin{matrix} 3 \\ 1 \\ 1 \end{matrix} \right] \)
\(\therefore\) x = 3, y = 1 and z = 1.
29.
LHL = a + 3
RHL = \(\frac{b}{2}\)
f(x) is continuous at x = 0,
So, a + 3 = 2 = \(\frac{b}{2}\)
a = -1 and b = 4
a = 3 and b = -2
Alterantive method
We have given that f(x) is continuous at x = 0
\(\therefore \lim _{ x\rightarrow { 0 }^{ - } }{ f\left( x \right) } =\lim _{ x\rightarrow { 0 }^{ + } }{ f\left( x \right) } \)
= f(0) = 2...(i)
Now,
\(\therefore \lim _{ x\rightarrow { 0 }^{ - } }{ f\left( x \right) } =\lim _{ h\rightarrow { 0 }^{ } }{ f\left( 0-h \right) } \)
Consider x = 0 - h \(\Rightarrow\) x \(\rightarrow\) 0 - \(\Rightarrow\) h \(\rightarrow\) 0
Thus,
\(\\ \lim _{ x\rightarrow { 0 }^{ - } }{ f\left( x \right) } =\lim _{ h\rightarrow { 0 }^{ } }{ f\left( h \right) } \)
\(=\lim _{ x\rightarrow { 0 }^{ - } }{ \frac { -sin\left( a+1 \right) h-2sinh }{ -h } } \)
\(=\lim _{ h\rightarrow { 0 }^{ - } }{ \frac { -sin\left( a+1 \right) h-2sinh }{ -h } } \)
\(=\lim _{ h\rightarrow { 0 }^{ - } }{ \frac { sin\left( a+1 \right) h }{ -h } + } \lim _{ h\rightarrow { 0 }^{ - } }{ \frac { 2sinh }{ h } } \)
\(=\lim _{ h\rightarrow { 0 }^{ - } }{ \frac { sin\left( a+1 \right) h }{ -h } + } \lim _{ h\rightarrow { 0 }^{ - } }{ \frac { 2sinh }{ h } } \)
= a + 1 + 2
= a + 3....(ii)
Now using eqn.(ii)
\(\lim _{ x\rightarrow { 0 }^{ - } }{ f\left( x \right) } =2\)
\(\Rightarrow\) a + 3 = 2
\(\Rightarrow\) a = -1
\(\\ \lim _{ x\rightarrow { 0 }^{ + } }{ f\left( x \right) } =\lim _{ h\rightarrow { 0 }^{ } }{ f\left( 0+h \right) } \)
\(=\lim _{ h\rightarrow { 0 }^{ } }{ f\left( h \right) } \)
Considering x = 0 + h, x\(\rightarrow\)0+\(\Rightarrow\) h\(\rightarrow\)0
Now,
\(=\lim _{ h\rightarrow { 0 }^{ + } }{ \frac { \sqrt { 1+bx } -1 }{ x } } \)
\(=\lim _{ h\rightarrow { 0 }^{ } }{ \frac { \sqrt { 1+bh } -1 }{ h } } \)
\(=\lim _{ h\rightarrow { 0 }^{ } }{ \frac { \sqrt { 1+bh } -1 }{ h } } \times \frac { \sqrt { 1+bh } +1 }{ \sqrt { 1+bh } +1 } \)
\(=\lim _{ h\rightarrow { 0 }^{ } }{ \frac { \left( \sqrt { 1+bh } \right) ^{ 2 }-\left( 1 \right) ^{ 2 } }{ h\left( \sqrt { 1+bh } +1 \right) } } \)
\(=\lim _{h\rightarrow { 0 }^{ } }{ \frac { 1+bh-1 }{ h\left( \sqrt { 1+bh } +1 \right) } } \)
\(=\lim _{ h\rightarrow { 0 }^{ } }{ \frac { bh }{ h\left( \sqrt { 1+bh } +1 \right) } } (h\neq0)\)
\(=\lim _{ h\rightarrow { 0 }^{ } }{ \frac { b }{ h\left( \sqrt { 1+bh } +1 \right) } } \)
\(=\frac { b }{ \left( \sqrt { 1+b\times 0 } +1 \right) } \)
\(=\frac { b }{ 1+1 } =\frac { b }{ 2 } \)
Now, using eqn. (i)
\(=\lim _{ x\rightarrow { 0 }^{ + } }{ f } \left( x \right) =f\left( 0 \right) =2\)
\(\Rightarrow \frac{b}{2}=2\)
\(\Rightarrow\) b = 4
30.
\(\forall x\in [0,\infty ),y=9x^{ 2 }+6x-5\)
\(=(3x+1)^{ 2 }-6\ge -5\prec \)
\( f=\ [-5,\infty )\)
Co-domain f, hence f is not onto and hence not invertible
Let us take the modified co-domain
\(f=\ [-5,\infty )\)
Let us now check whether f is one-one
Let \(x_{ 1 },x_{ 2 }\neq [0,\infty )\)
\( f(x_{ 1 })=f(x_{ 2 })\)
\( \Rightarrow (3x_{ 1 }+1)^{ 2 }-6=(3x_{ 2 }+1)^{ 2 }-6\)
\( \Rightarrow 3x_{ 1 }+1=3x_{ 2 }+1\)
\(\Rightarrow x_{ 1 }=x_{ 2 }\)
Hence f is oe-one
Since with the modified co-domain = the range f, f is both o0ne-one and onto hence invertible
From (i) above for any
\(y\neq [-5,\infty )\)
\(x=\frac { \sqrt { y+6 } -1 }{ 3 } \)
\(f^{ -1 }[-5,\infty )\rightarrow [0,\infty ),f^{ -1 }(y)\)
\(=\frac { \sqrt { y+6 } -1 }{ 3 } \)
31.
Find AB, A', B', B'A', compare.Proceed.
32.
(c)
Equivalence relation
33.
(c)
Determinant is a number associated to a square matrix
34.
As y = xy ⇒ log y = y log x
⇒ \(\frac { 1 }{ y } .{ y }^{ ' }=\frac { y }{ x } +logx.{ y }^{ ' }\)
\(\Rightarrow { y }^{ ' }\left[ \frac { 1 }{ y } -log \ x \right] \)
\(=\frac { y }{ x } \Rightarrow x(1-y \ log \ x){ y }^{ ' }={ y }^{ 2 }\)
35.
as sec-1x + sec-1 y = \(\frac{\pi}{2}\)
⇒ \(\frac{\pi}{2}\) - cosec-1 x + \(\frac{\pi}{2}\) - cosec-1 y = \(\frac{\pi}{2}\)
⇒ cosec-1 x + cosec-1 y = \(\frac{\pi}{2}\)
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