Matrices and Determinants

JEE Mathematics · 271 questions · Page 3 of 28 · Click an option or "Show Solution" to reveal answer

Q21
The system of linear equations x+λyz=0λxyz=0x+yλz=0\begin{array}{ll}{x + \lambda y - z = 0} \\ {\lambda x - y - z = 0} \\ {x + y - \lambda z = 0} \end{array} has a non-trivial solution for :
A infinitely many values of λ.\lambda .
B exactly one value of λ.\lambda .
C exactly two values of λ.\lambda .
D exactly three values of λ.\lambda .
Correct Answer
Option D
Solution

For non-trivial solution, we have

1λ1λ1111λ=0\left| \begin{array}{lll}1 & \lambda & { - 1} \\ \lambda & { - 1} & { - 1} \\ 1 & 1 & { - \lambda } \end{array} \right| = 0
1(λ+1)λ(λ2+1)1(λ+1)=0\Rightarrow 1(\lambda + 1) - \lambda ( - {\lambda ^2} + 1) - 1(\lambda + 1) = 0
λ(λ21)=0\Rightarrow \lambda ({\lambda ^2} - 1) = 0
λ=1,0,1\Rightarrow \lambda = - 1,0,1
Q22
If A=[5ab32]A = \left[ \begin{array}{ll}{5a} & { - b} \\ 3 & 2 \end{array} \right] and AA adj A=AA=A AT,{A^T}, then 5a+b5a+b is equal to :
A 44
B 1313
C 1-1
D 55
Correct Answer
Option D
Solution
A(AdjA)=AATA\left( {Adj\,\,A} \right) = A\,{A^T}
A1A(adjA)=A1AAT\Rightarrow {A^{ - 1}}A\left( {adj\,\,A} \right) = {A^{ - 1}}A\,{A^T}
AdjA=ATAdj\,\,A = {A^T}
[2b35a]=[5a3b2]\Rightarrow \left[ \begin{array}{ll}2 & b \\ { - 3} & {5a} \end{array} \right] = \left[ \begin{array}{ll}{5a} & 3 \\ { - b} & 2 \end{array} \right]
a=25\Rightarrow a = {2 \over 5}\,\,

and

b=3\,\,b = 3
5a+b=5\Rightarrow 5a + b = 5
Q23
For two 3 × 3 matrices A and B, let A + B = 2BT and 3A + 2B = I3, where BT is the transpose of B and I3 is 3 × 3 identity matrix. Then :
A 5A + 10B = 2I3
B 10A + 5B = 3I3
C B + 2A = I3
D 3A + 6B = 2I3
Correct Answer
Option B
Solution

Given, A + B = 2BT .......(1) \Rightarrow (A + B)T = (2BT)T \Rightarrow AT + BT = 2B \Rightarrow B =

AT+BT2{{{A^T} + {B^T}} \over 2}

Now put this in equation (1) So, A +

AT+BT2{{{A^T} + {B^T}} \over 2}

= 2BT \Rightarrow2A + AT = 3BT \Rightarrow A =

3BTAT2{{3{B^T} - {A^T}} \over 2}

Also, 3A + 2B = I3 .......(2) \Rightarrow

3(3BTAT2)+2(AT+BT2)3\left( {{{3{B^T} - {A^T}} \over 2}} \right) + 2\left( {{{{A^T} + {B^T}} \over 2}} \right)

= I3 \Rightarrow 11BT - AT = 2I3 \Rightarrow (11BT - AT)T = (2I3)T \Rightarrow 11B - A = 2I3 ........(

3) Multiply (3) by 3 and then adding (2) and (3) we get, 35B = 7I3 \Rightarrow B =

I35{{{I_3}} \over 5}

From (3), 11

I35{{{I_3}} \over 5}

- A = 2I3 \Rightarrow A =

I35{{{I_3}} \over 5}

\therefore 5A = 5B = I3 \Rightarrow 10A + 5B = 3I3

Q24
The number of real values of λ\lambda for which the system of linear equations 2x + 4y - λ\lambda z = 0 4x + λ\lambda y + 2z = 0 λ\lambda x + 2y + 2z = 0 has infinitely many solutions, is :
A 0
B 1
C 2
D 3
Correct Answer
Option B
Solution

The system of equations can be written in the matrix form as

[24λ4λ2λ22][xyz]=[000]\left[ \begin{array}{lll}2 & 4 & { - \lambda } \\ 4 & \lambda & 2 \\ \lambda & 2 & 2 \end{array} \right]\left[ \begin{array}{ll}x \\ y \\ z \end{array} \right] = \left[ \begin{array}{ll}0 \\ 0 \\ 0 \end{array} \right]

The system has infinite solutions; thus, we get

24λ4λ2λ22=0\left| \begin{array}{lll}2 & 4 & { - \lambda } \\ 4 & \lambda & 2 \\ \lambda & 2 & 2 \end{array} \right| = 0
0=2(2λ4)4(82λ)λ(8λ2)\Rightarrow 0 = 2(2\lambda - 4) - 4(8 - 2\lambda ) - \lambda (8 - {\lambda ^2})
4λ832+8λ8λ+λ3=0\Rightarrow 4\lambda - 8 - 32 + 8\lambda - 8\lambda + {\lambda ^3} = 0
λ3+4λ40=0\Rightarrow {\lambda ^3} + 4\lambda - 40 = 0

We can solve this by graphical method:

y=x3+4x40y = {x^3} + 4x - 40

For x = 0, y = -40: If we take y = -40, then we have

40=x3+4x40- 40 = {x^3} + 4x - 40
x3+4x=0\Rightarrow {x^3} + 4x = 0
x(x2+4)=0\Rightarrow x({x^2} + 4) = 0
x=0,x2+4=0\Rightarrow x = 0,{x^2} + 4 = 0
x=±2i\Rightarrow x = \pm \,2i

The given equation of line intersects x only at one point; therefore, the real value of λ\lambda is only one.

Q25
If the system of equations x+y+z=2 2x+4y–z=6 3x+2y+λ\lambda z=μ\mu has infinitely many solutions, then
A 2λ\lambda - μ\mu = 5
B λ\lambda - 2μ\mu = -5
C 2λ\lambda + μ\mu = 14
D λ\lambda + 2μ\mu = 14
Correct Answer
Option C
Solution
D=011124132λ=0D = 0\,\left| \begin{array}{lll}1 & 1 & 1 \\ 2 & 4 & { - 1} \\ 3 & 2 & \lambda \end{array} \right| = 0

\Rightarrow

(4λ+2)1(2λ+3)+1(412)=0(4\lambda + 2) - 1(2\lambda + 3) + 1(4 - 12) = 0

\Rightarrow

4λ+24\lambda + 2
2λ3- 2\lambda - 3

-8

=0= 0

\Rightarrow

2λ=9λ=922\lambda = 9 \Rightarrow \lambda = {9 \over 2}
Dx=211641μ29/2=0{D_x} = \left| \begin{array}{lll}2 & 1 & 1 \\ 6 & 4 & { - 1} \\ \mu & 2 & { - 9/2} \end{array} \right| = 0
μ=5\Rightarrow \mu = 5

By checking all the options we find (C) is correct

2λ+μ=142\lambda + \mu = 14
Q26
Suppose A is any 3× \times 3 non-singular matrix and ( A - 3I) (A - 5I) = O where I = I3 and O = O3. If α\alpha A + β\beta A-1 = 4I, then α\alpha + β\beta is equal to :
A 8
B 7
C 13
D 12
Correct Answer
Option A
Solution

Given, ( A - 3I) (A - 5I) = O \Rightarrow A2 - 8A + 15I = O Multiplying both sides by A- 1, we get, A- 1A.A - 8A- 1A + 15A- 1I = A- 1O \Rightarrow A - 8I + 15A- 1 = O \Rightarrow A + 15A- 1 = 8I \Rightarrow

A2+15A12=4I{A \over 2} + {{15{A^{ - 1}}} \over 2} = 4I

Comparing with the equation α\alphaA + β\betaA-1 = 4I, we get α\alpha =

12{1 \over 2}

and β\beta =

152{15 \over 2}

\therefore α\alpha + β\beta =

12{1 \over 2}

+

152{15 \over 2}

=

162{16 \over 2}

= 8

Q27
Let A be any 3 × \times 3 invertible matrix. Then which one of the following is not always true ?
A adj (A) = \left| \right.A\left| \right..A-1
B adj (adj(A)) = \left| \right.A\left| \right..A
C adj (adj(A)) = \left| \right.A\left| \right.2.(adj(A))-1
D adj (adj(A)) = \left| \, \right.A \left| \, \right..(adj(A))-1
Correct Answer
Option D
Solution

We know, the formula A-1 =

adj(A)A{{adj\left( A \right)} \over {\left| A \right|}}

\therefore adj (A) =

\left| \right.

A

\left| \right.

.A-1 So, Option (A) is true. We know, the formula adj (adj (A)) =

An2.A{\left| A \right|^{n - 2}}.A

Now if we put n = 3 as given that A is a 3 ×\times 3 matrix, we get adj (adj (A)) =

A32.A{\left| A \right|^{3 - 2}}.A

=

A.A\left| A \right|.A

So, Option (B) is also true. We know, the formula adj (adj (A)) =

An1(adj(A))1{\left| A \right|^{n - 1}}{\left( {adj\left( A \right)} \right)^{ - 1}}

Now if we put n = 3 as given that A is a 3 ×\times 3 matrix, we get adj (adj (A)) =

A31(adj(A))1{\left| A \right|^{3 - 1}}{\left( {adj\left( A \right)} \right)^{ - 1}}

=

A2(adj(A))1{\left| A \right|^{2}}{\left( {adj\left( A \right)} \right)^{ - 1}}

So, Option (C) is also true. Now in this formula adj (adj (A)) =

An1(adj(A))1{\left| A \right|^{n - 1}}{\left( {adj\left( A \right)} \right)^{ - 1}}

if we put n = 2, we get adj (adj (A)) =

A21(adj(A))1{\left| A \right|^{2 - 1}}{\left( {adj\left( A \right)} \right)^{ - 1}}

=

A(adj(A))1{\left| A \right|}{\left( {adj\left( A \right)} \right)^{ - 1}}

But as A is a 3 ×\times 3 matrix so we can not take n = 2, so we can say for a 3 ×\times 3 matrix option (D) is not true.

So, Option (D) is false.

Q28
If S is the set of distinct values of 'b' for which the following system of linear equations x + y + z = 1 x + ay + z = 1 ax + by + z = 0 has no solution, then S is :
A an empty set
B an infinite set
C a finite set containing two or more elements
D a singleton
Correct Answer
Option D
Solution
1111a1ab1=0\left| \begin{array}{lll}1 & 1 & 1 \\ 1 & a & 1 \\ a & b & 1 \end{array} \right| = 0

\Rightarrow 1 [a – b] – 1 [1 – a] + 1 [b – a2] = 0 \Rightarrow (a - 1)2 = 0 \Rightarrow a = 1 For a = 1, the equations become x + y + z = 1 x + y + z = 1 x + by + z = 0 These equations give no solution for b = 1 \Rightarrow S is singleton set.

Q29
If the system of linear equations x + ky + 3z = 0 3x + ky - 2z = 0 2x + 4y - 3z = 0 has a non-zero solution (x, y, z), then xzy2{{xz} \over {{y^2}}} is equal to
A 30
B -10
C 10
D -30
Correct Answer
Option C
Solution

System of equations has non-zero solution when determinant of coefficient = 0. So, in this questions,

1K33K2243=0\left| \begin{array}{lll}1 & K & 3 \\ 3 & K & { - 2} \\ 2 & 4 & { - 3} \end{array} \right| = 0
\Rightarrow \,\,\,\,

(- 3K + 8) - K (-9 + 4) + 3(12 - 2K) = 0

\Rightarrow \,\,\,\,

- 3K + 8 + 9K - 4K + 36 - 6K = 0

\Rightarrow \,\,\,\,

- 4K + 44 = 0

\Rightarrow \,\,\,\,

K = 11 Now the equations become x + 11y + 3z = 0 . . . (1) 3x + 11y - 2z = 0 . . . (2) 2x + 4y - 3z = 0 . . .

(3) By adding equation (1) and (3) we get, 3x + 15y = 0

\Rightarrow \,\,\,\,

x = - 5y Putting x = - 5y in equation (1) we get - 5y + 11y + 3z = 0

\Rightarrow \,\,\,\,

6y + 3z = 0

\Rightarrow \,\,\,\,

z = - 2y

\therefore\,\,\,\,
xzy2{{xz} \over {{y^2}}}
=(5y)(2y)y2= {{\left( { - 5y} \right)\left( { - 2y} \right)} \over {{y^2}}}
=10y2y2= {{10{y^2}} \over {{y^2}}}
=10= 10
Q30
If x42x2x2xx42x2x2xx4=(A+Bx)(xA)2\left| \begin{array}{lll}{x - 4} & {2x} & {2x} \\ {2x} & {x - 4} & {2x} \\ {2x} & {2x} & {x - 4} \end{array} \right| = \left( {A + Bx} \right){\left( {x - A} \right)^2} then the ordered pair (A, B) is equal to :
A (4, 5)
B (-4, -5)
C (-4, 3)
D (-4, 5)
Correct Answer
Option D
Solution
x42x2x2xx42x2x2xx4\left| \begin{array}{lll}{x - 4} & {2x} & {2x} \\ {2x} & {x - 4} & {2x} \\ {2x} & {2x} & {x - 4} \end{array} \right|

Applying c1 \to c1 + c2 + c3

=5x42x2x5x4x42x5x42xx4= \,\,\,\,\left| \begin{array}{lll}{5x - 4} & {2x} & {2x} \\ {5x - 4} & {x - 4} & {2x} \\ {5x - 4} & {2x} & {x - 4} \end{array} \right|

Taking common (5x - 4) from c1

=(5x4)12x2x1x42x12xx4= \,\,\,\,\left( {5x - 4} \right)\left| \begin{array}{lll}1 & {2x} & {2x} \\ 1 & {x - 4} & {2x} \\ 1 & {2x} & {x - 4} \end{array} \right|

Apply R2 \toR2 - R1 and R3 \toR3 - R1

=(5x4)12x2x0(x+4)000(x+4)= \,\,\,\,\left( {5x - 4} \right)\left| \begin{array}{lll}1 & {2x} & {2x} \\ 0 & { - \left( {x + 4} \right)} & 0 \\ 0 & 0 & { - \left( {x + 4} \right)} \end{array} \right|
=(5x4)(x+4)2= \,\,\,\,\left( {5x - 4} \right){\left( {x + 4} \right)^2}

So, (A + Bx) (x - A)2 = (5x - 4) (x + 4)2 By comparing both sides we get, A = - 4 and B = 5

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