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Published on: 25/10/2025
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1.
The sum of three numbers is 6. If we multiply third number by 3 and add second number to it, we get 11. By adding first and third numbers, we get double of the second number. Represent it algebraically and find the numbers using matrix method.
2.
Prove that the determinant \(\left|\begin{array}{ccc} x & \sin \theta & \cos \theta \\ -\sin \theta & -x & 1 \\ \cos \theta & 1 & x \end{array}\right|\) is independent of θ.
3.
Evaluate : \(\text { }\left|\begin{array}{ccc} \cos \alpha \cos \beta & \cos \alpha \sin \beta & -\sin \alpha \\ -\sin \beta & \cos \beta & 0 \\ \sin \alpha \cos \beta & \sin \alpha \sin \beta & \cos \alpha \end{array}\right|\)
4.
Let \(A=\left[\begin{array}{rrr}1 & -2 & 1 \\ -2 & 3 & 1 \\ 1 & 1 & 5\end{array}\right]\) verify that
(i) \([\operatorname{adj} A]^{-1}=\operatorname{adj}\left(A^{-1}\right) \)
(ii) \(\left(A^{-1}\right)^{-1}=A\)
5.
If A be any given square matrix of order n, then
A(adj A) = (adj A) A = A I ,
where I is the identity matrix of order n
6.
Solve the system of linear equations, using matrix method in
2x + 3y + 3z = 5
x - 2y + z = -4
3x - y - 2z = 3
7.
5x-y+4z=5
2x+3y+5z=2
5x-2y+6z=-1 Prove that the given equations are consistent or not
8.
Find the inverse of each of the matrices given
\(\left[\begin{matrix}-1&5\\ -3&2\end{matrix}\right]\)
9.
If \(A=\begin{vmatrix} 1 & 2 \\ 4 & 2 \end{vmatrix}\) then show that |2A| = 4 |A|
10.
Show that the matrix \(A=\left| \begin{matrix} 2 & 3 \\ 1 & 2 \end{matrix} \right| \)satisfies the equation A2- 4A + I = 0, where I is 2 x 2 identity matrix and O is 2 x 2 zero matix. Using this equation, find A–1.
11.
Find minors and cofactors of the elements a11, a21 in the determinant \(\Delta = \left| \begin{matrix} { a }_{ 11 } & { a }_{ 12 } & { a }_{ 13 } \\ { a }_{ 21 } & { a }_{ 22 } & { a }_{ 23 } \\ { a }_{ 31 } & { a }_{ 32 } & { a }_{ 33 } \end{matrix} \right| \)
12.
Find minors and cofactors of all the elements of the determinant \(\begin{vmatrix} 1 & -2 \\ 4 & 3 \end{vmatrix}\)
13.
Let A = \(\left[ \begin{matrix} 1 & sin\theta & 1 \\ -sin\theta & 1 & sin\theta \\ -1 & -sin\theta & 1 \end{matrix} \right] \), where 0 ≤ θ ≤2ㅠ.Then
Det (A) = 0
Det (A) ∈ (2, ∞)
Det (A) ∈ (2, 4)
Det (A) ∈ [2, 4]
14.
If A is an invertible matrix of order 2, then det (A–1) is equal to
det (A)
\(\frac{1}{det(A)}\)
1
0
15.
Let A be a square matrix of order 2 × 2, then |KA| is equal to
K|A|
K²|A|
K3|A|
2K|A|
16.
Let Δ = \(\left| \begin{matrix} { Ax }^{ 2 } & x^{ 3 } & 1 \\ { By }^{ 2 } & { y }^{ 3 } & 1 \\ { Cz }^{ 2 } & { z }^{ 3 } & 1 \end{matrix} \right| \) and \({ \triangle }_{ 1 }=\left| \begin{matrix} Ax & By & Cz \\ { x }^{ 2 } & { y }^{ 2 } & { z }^{ 2 } \\ yz & zx & xy \end{matrix} \right| \), then
Δ + Δ1 = 0
Δ ≠ Δ1
Δ = xΔ1
Δ - Δ1 = 0
17.
The value \(\left| \begin{matrix} 6 & 0 & -1 \\ 2 & 1 & 4 \\ 1 & 1 & 3 \end{matrix} \right| \) is
-7
7
8
10
18.
If \(\begin{vmatrix} 2x & -1 \\ 4 & 2 \end{vmatrix}=\begin{vmatrix} 3 & 0 \\ 2 & 1 \end{vmatrix}\) then x is
3
\(\frac { 2 }{ 3 } \)
\(\frac { 3 }{ 2 } \)
\(-\frac { 1 }{ 4 } \)
1.
Let first, second and third numbers be denoted by x, y and z, respectively.
Then, according to the question, we get
\(x+y+z=6, y+3 z=11 \)
\(x+z=2 y \Rightarrow x-2 y+z=0 \)
This system can be written as A X = B, where
where,\(A=\left[\begin{array}{rrr} 1 & 1 & 1 \\ 0 & 1 & 3 \\ 1 & -2 & 1 \end{array}\right], X=\left[\begin{array}{l} x \\ y \\ z \end{array}\right] \text { and } B=\left[\begin{array}{c} 6 \\ 11 \\ 0 \end{array}\right]\)
Here \(|A|=1(1+6)-(0-3)+(0-1)=9 \neq 0\). Now we find adj A
\(\begin{array}{lll} A_{11}=1(1+6)=7, & A_{12}=-(0-3)=3, & A_{13}=-1 \\ A_{21}=-(1+2)=-3, & A_{22}=0, & A_{23}=-(-2-1)=3 \\ A_{31}=(3-1)=2, & A_{32}=-(3-0)=-3, & A_{33}=(1-0)=1 \end{array}\)
Hence \(\operatorname{adj} \mathrm{A}=\left[\begin{array}{ccc} 7 & -3 & 2 \\ 3 & 0 & -3 \\ -1 & 3 & 1 \end{array}\right]\)
Thus \(\mathrm{A}^{-1}=\frac{1}{|\mathrm{~A}|} \operatorname{adj}(\mathrm{A})=\frac{1}{9}\left[\begin{array}{ccc} 7 & -3 & 2 \\ 3 & 0 & -3 \\ -1 & 3 & 1 \end{array}\right]\)
Since \(\mathrm{X}=\mathrm{A}^{-1} \mathrm{~B}\)
\(X=\frac{1}{9}\left[\begin{array}{ccc} 7 & -3 & 2 \\ 3 & 0 & -3 \\ -1 & 3 & 1 \end{array}\right]\left[\begin{array}{c} 6 \\ 11 \\ 0 \end{array}\right]\)
or \(\left[\begin{array}{l} x \\ y \\ z \end{array}\right]=\frac{1}{9}\left[\begin{array}{c} 42-33+0 \\ 18+0+0 \\ -6+33+0 \end{array}\right]=\frac{1}{9}\left[\begin{array}{c} 9 \\ 18 \\ 27 \end{array}\right]=\left[\begin{array}{l} 1 \\ 2 \\ 3 \end{array}\right]\)
x = 1, y = 2 and z = 3
2.
\( \left|\begin{array}{ccc}
x & \sin \theta & \cos \theta \\
-\sin \theta & -x & 1 \\
\cos \theta & 1 & x
\end{array}\right| \)
\( =x\left(-x^2-1\right)-\sin \theta(-x \sin \theta-\cos \theta)+\cos \theta(-\sin \theta+x \cos \theta) \)
\( =-x^3-x+x \sin ^2 \theta+\sin \theta \cos \theta-\sin \theta \cos \theta+x \cos ^2 \theta \)
\( =-x^3-x+x\left(\sin ^2 \theta+\cos ^2 \theta\right) \)
\(=-x^3-x+x \)
\(=-x^3 \text { (Which is Independent of } \theta \text { ) }\)
3.
\( \Delta=\left|\begin{array}{ccc} \cos \alpha \cos \beta & \cos \alpha \sin \beta & -\sin \alpha \\ -\sin \beta & \cos \beta & 0 \\ \sin \alpha \cos \beta & \sin \alpha \sin \beta & \cos \alpha \end{array}\right| \)
Expanding along \(\mathrm{C}_3\),
we have:
\( \Delta =-\sin \alpha\left(-\sin \alpha \sin ^2 \beta-\cos ^2 \beta \sin \alpha\right)+\cos \alpha\left(\cos \alpha \cos ^2 \beta+\cos \alpha \sin ^2 \beta\right) \)
\(=\sin ^2 \alpha\left(\sin ^2 \beta+\cos ^2 \beta\right)+\cos ^2 \alpha\left(\cos ^2 \beta+\sin ^2 \beta\right) \)
\(=\sin ^2 \alpha(1)+\cos ^2 \alpha(1) =1 \)
4.
\(A=\left[\begin{array}{rrr} 1 & -2 & 1 \\ -2 & 3 & 1 \\ 1 & 1 & 5 \end{array}\right]\)
|A|=1(15-1)+2(-10-1)+1(-2-3)=14-22-5=-13
Now,
\(A_{11}=14, A_{12}=11, A_{13}=-5 \)
\(A_{21}=11, A_{22}=4, A_{23}=-3 \)
\(A_{31}=-5, A_{32}=-3, A_{13}=-1\)
\(\operatorname{adj} A =\left[\begin{array}{lll} 14 & 11 & -5 \\ 11 & 4 & -3 \\ -5 & -3 & -1 \end{array}\right]\)
\(A^{-1} =\frac{1}{|A|}(\operatorname{adj} A) \)
\(=-\frac{1}{13}\left[\begin{array}{lll} 14 & 11 & -5 \\ 11 & 4 & -3 \\ -5 & -3 & -1 \end{array}\right]=\frac{1}{13}\left[\begin{array}{lll} -14 & -11 & 5 \\ -11 & -4 & 3 \\ 5 & 3 & 1 \end{array}\right]\)
\(\mid \text { adj } A \mid =14(-4-9)-11(-11-15)-5(-33+20) \)
=14(-13)-11(-26)-5(-13)
=-182+286+65=169
We have,
\( \operatorname{adj}(\operatorname{adj} A)=\left[\begin{array}{ccc} -13 & 26 & -13 \\ 26 & -39 & -13 \\ -13 & -13 & -65 \end{array}\right]\)
\( \therefore[\operatorname{adj} A]^{-1}=\frac{1}{|\operatorname{adj} A|}(\operatorname{adj}(\operatorname{adj} A))\)
\(=\frac{1}{169}\left[\begin{array}{lll} -13 & 26 & -13 \\ 26 & -39 & -13 \\ -13 & -13 & -65 \end{array}\right]\)
\(=\frac{1}{13}\left[\begin{array}{lll} -1 & 2 & -1 \\ 2 & -3 & -1 \\ -1 & -1 & -5 \end{array}\right]\)
Now, \(A^{-1}=\frac{1}{13}\left[\begin{array}{lll}-14 & -11 & 5 \\ -11 & -4 & 3 \\ 5 & 3 & 1\end{array}\right]=\left[\begin{array}{ccc}-\frac{14}{13} & -\frac{11}{13} & \frac{5}{13} \\ -\frac{11}{13} & -\frac{4}{13} & \frac{3}{13} \\ \frac{5}{13} & \frac{3}{13} & \frac{1}{13}\end{array}\right]\)
\(\therefore \operatorname{adj}\left(A^{-1}\right) =\left[\begin{array}{lll} -\frac{4}{169}-\frac{9}{169} & -\left(-\frac{11}{169}-\frac{15}{169}\right) & -\frac{33}{169}+\frac{20}{169} \\ -\left(-\frac{11}{169}-\frac{15}{169}\right) & -\frac{14}{169}-\frac{25}{169} & -\left(-\frac{42}{169}+\frac{55}{169}\right) \\ -\frac{33}{169}+\frac{20}{169} & -\left(-\frac{42}{169}+\frac{55}{169}\right) & \frac{56}{169}-\frac{121}{169} \end{array}\right]\)
\( =\frac{1}{169}\left[\begin{array}{lll} -13 & 26 & -13 \\ 26 & -39 & -13 \\ -13 & -13 & -65 \end{array}\right]=\frac{1}{13}\left[\begin{array}{lll} -1 & 2 & -1 \\ 2 & -3 & -1 \\ -1 & -1 & -5 \end{array}\right]\)
Hence, \([\operatorname{adj} A]^{-1}=\operatorname{adj}\left(A^{-1}\right)\).
We have shown that:
\(A^{-1}=\frac{1}{13}\left[\begin{array}{lll} -14 & -11 & 5 \\ -11 & -4 & 3 \\ 5 & 3 & 1 \end{array}\right]\)
And, \(\operatorname{adj} A^{-1}=\frac{1}{13}\left[\begin{array}{lll}-1 & 2 & -1 \\ 2 & -3 & -1 \\ -1 & -1 & -5\end{array}\right]\)
Now,
\( \left|A^{-1}\right|=\left(\frac{1}{13}\right)^3[-14 \times(-13)+11 \times(-26)+5 \times(-13)]=\left(\frac{1}{13}\right)^3 \times(-169)=-\frac{1}{13} \)
\(\therefore\left(A^{-1}\right)^{-1}=\frac{\operatorname{adj} A^{-1}}{\left|A^{-1}\right|}=\frac{1}{\left(-\frac{1}{13}\right)} \times \frac{1}{13}\left[\begin{array}{lll} -1 & 2 & -1 \\ 2 & -3 & -1 \\ -1 & -1 & -5 \end{array}\right]=\left[\begin{array}{lll} 1 & -2 & 1 \\ -2 & 3 & 1 \\ 1 & 1 & 5 \end{array}\right]=A\)
\(\left(A^{-1}\right)^{-1}=A\)
5.
\(\mathrm{A}=\left[\begin{array}{lll} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{array}\right] \text {, then } a d j \mathrm{~A}=\left[\begin{array}{lll} \mathrm{A}_{11} & \mathrm{~A}_{21} & \mathrm{~A}_{31} \\ \mathrm{~A}_{12} & \mathrm{~A}_{22} & \mathrm{~A}_{32} \\ \mathrm{~A}_{13} & \mathrm{~A}_{23} & \mathrm{~A}_{33} \end{array}\right]\)
Since sum of product of elements of a row (or a column) with corresponding cofactors is equal to |A| and otherwise zero, we have
\(\mathrm{A}(\operatorname{adj} \mathrm{A})=\left[\begin{array}{ccc} |\mathrm{A}| & 0 & 0 \\ 0 & |\mathrm{~A}| & 0 \\ 0 & 0 & |\mathrm{~A}| \end{array}\right]=|\mathrm{A}|\left[\begin{array}{lll} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array}\right]=|\mathrm{A}| \mathrm{I}\)
Similarly, we can show (adj A) A = A I
Hence A (adj A) = (adj A) A = A I
6.
The given system of equations is:
2x + 3y + 3z = 5
x - 2y + z = -4
3x - y - 2z = 3
These can be written as AX = B
\(\Rightarrow X=A^{-1}B\) ..(1)
where \(A=\begin{bmatrix} 2&3&3\\1&-2&1\\3&-1&-2\end{bmatrix},X=\begin{bmatrix} x\\y\\z\end{bmatrix}and \ B=\begin{bmatrix}5\\-4\\3 \end{bmatrix}\)
\(\therefore|A|=\begin{bmatrix}2&3&3\\1&-2&1\\3&-1&-2 \end{bmatrix}\)
\(=2(4+1)-3(-2-3)+3(-1+6)\)
\(=10+15+15=40\neq0\Rightarrow A^{-1}\) exists.
Now \(adj\ A=\begin{bmatrix}5&5&\\3&-13&11\\9&1&-7 \end{bmatrix}=\begin{bmatrix}5&3&9\\5&-13&1\\5&11&-7 \end{bmatrix}\)
\(\therefore\ A^{-1}={1\over|A|}(Adj\ A)\)
\(={1\over40}\begin{bmatrix} 5&3&9\\5&-13&1\\5&11&-7\end{bmatrix}\)
From (1), \(X={1\over40}\begin{bmatrix} 5&3&9\\5&-13&1\\5&11&-7\end{bmatrix}\begin{bmatrix} 5\\-4\\3\end{bmatrix}\)
\(={1\over40}\begin{bmatrix} 25-12+27\\25+52+3\\25-44-21\end{bmatrix}={11\over40}\begin{bmatrix} 40\\80\\-40\end{bmatrix}\)
\(\Rightarrow \begin{bmatrix} x\\y\\z\end{bmatrix}=\begin{bmatrix} 1\\2\\-1\end{bmatrix}\)
Hence x = 1, y = 2, z = -1
7.
The given equation are:
5x-y+4z=5
2x+3y+5z=2
5x-2y+6z=-1
Here A= \(\begin{bmatrix}5&-1&4\\2&3&5\\5&-2&6 \end{bmatrix}\)
Now |A|=\(\begin{bmatrix}5&-1&4\\2&3&5\\5&-2&6 \end{bmatrix}\)
=5(18+10)+1.(12-25)+4(-4-15)
=140-13-76=\(51\neq0\)
Hence, the given system of equations is consistent.
8.
Let \(A=\left[\begin{matrix}-1&5\\ -3&2\end{matrix}\right]\)
\(|A|=\left[\begin{matrix}-1&5\\ -3&2\end{matrix}\right]=-2+15=13\neq0\)
A is non-singular = A-1 exists.
Now \(A_{11}=(-1)^{1+1}M_{11}(+1)(1 )=2\)
\(A_{12}=(-1)^{1+2}M_{12}\\ =(-1)(-3)=3;\)
\(A_{21}=(-1)^{2+1}M_{21}=(-1)(5)=-5\)
\(A_{22}=(-1)^{2+2}M_{22}\\ =(+1)(-1)=-1\)
\(\therefore\ adj\ A=\begin{bmatrix}2&3\\-5&-1 \end{bmatrix}=\begin{bmatrix}2&-5\\3&-1 \end{bmatrix}\)
\(\therefore\ A^{-1}={1\over|A|}(adj\ A)\)
\(={1\over13}\begin{bmatrix} 2&-5\\3&-1\end{bmatrix}\)
=\(\left[\begin{matrix}{2\over13}&{-5\over13}\\ {3\over13}&-{1\over13}\end{matrix}\right]\)
9.
\(A=\begin{vmatrix} 1 & 2 \\ 4 & 2 \end{vmatrix}\)
\(\therefore 2 A=2\left[\begin{array}{ll} 1 & 2 \\ 4 & 2 \end{array}\right]=\left[\begin{array}{ll} 2 & 4 \\ 8 & 4 \end{array}\right] \)
\(\therefore \text { L.H.S. }=|2 A|=\left|\begin{array}{ll} 2 & 4 \\ 8 & 4 \end{array}\right|=2 \times 4-4 \times 8=8-32=-24 \)
\(\text { Now, }|A|=\left|\begin{array}{ll} 1 & 2 \\ 4 & 2 \end{array}\right|=1 \times 2-2 \times 4=2-8=-6 \)
\(\therefore \text { R.H.S. }=4|A|=4 \times(-6)=-24 \)
\(\therefore \text { L.H.S. }=\text { R.H.S. } \)
10.
We have \(A^2=A \cdot A=\left[\begin{array}{ll} 2 & 3 \\ 1 & 2 \end{array}\right]\left[\begin{array}{ll} 2 & 3 \\ 1 & 2 \end{array}\right]=\left[\begin{array}{cc} 7 & 12 \\ 4 & 7 \end{array}\right]\)
Hence \(\mathrm{A}^2-4 \mathrm{~A}+\mathrm{I}=\left[\begin{array}{cc} 7 & 12 \\ 4 & 7 \end{array}\right]-\left[\begin{array}{cc} 8 & 12 \\ 4 & 8 \end{array}\right]+\left[\begin{array}{ll} 1 & 0 \\ 0 & 1 \end{array}\right]=\left[\begin{array}{ll} 0 & 0 \\ 0 & 0 \end{array}\right]=\mathrm{O}\)
\(\begin{array}{l} \mathrm{A}^2-4 \mathrm{~A}+\mathrm{I}=\mathrm{O} \\ \mathrm{A} \mathrm{A}-4 \mathrm{~A}=-\mathrm{I} \end{array}\)
or \( \mathrm{A} \mathrm{A}\left(\mathrm{A}^{-1}\right)-4 \mathrm{AA}^{-1}=-\mathrm{IA}^{-1} \) (Post multiplying by A–1 because |A| ≠ 0)
or \( {A}\left(\mathrm{~A} \mathrm{~A}^{-1}\right)-4 \mathrm{I}=-\mathrm{A}^{-1} \)
or \(\mathrm{AI}-4 \mathrm{I}=-\mathrm{A}^{-1} \)
or \(\mathrm{A}^{-1}=4 \mathrm{I}-\mathrm{A}=\left[\begin{array}{ll} 4 & 0 \\ 0 & 4 \end{array}\right]-\left[\begin{array}{ll} 2 & 3 \\ 1 & 2 \end{array}\right]=\left[\begin{array}{cc} 2 & -3 \\ -1 & 2 \end{array}\right]\)
Hence \(A^{-1}=\left[\begin{array}{cc} 2 & -3 \\ -1 & 2 \end{array}\right]\)
11.
By definition of minors and cofactors, we have
\(\text {Minor of } a_{11}=\mathrm{M}_{11}=\left|\begin{array}{ll} a_{22} & a_{23} \\ a_{32} & a_{33} \end{array}\right|=a_{22} a_{33}-a_{23} a_{32}\)
\(\text {Cofactor of } a_{11}=\mathrm{A}_{11}=(-1)^{1+1} \quad \mathrm{M}_{11}=a_{22} a_{33}-a_{23} a_{32}\)
\(\text {Minor of } a_{21}=\mathrm{M}_{21}=\left|\begin{array}{ll} a_{12} & a_{13} \\ a_{32} & a_{33} \end{array}\right|=a_{12} a_{33}-a_{13} a_{32}\)
\(\text {Cofactor of } a_{21}=\mathrm{A}_{21}=(-1)^{2+1} \mathrm{M}_{21}=(-1)\left(a_{12} a_{33}-a_{13} a_{32}\right)=-a_{12} a_{33}+a_{13} a_{32}\)
12.
Minor of the element aij is Mij
Here a11 = 1.
So M11 = Minor of a11 = 3
M12 = Minor of the element a12 = 4
M21 = Minor of the element a21 = –2
M22 = Minor of the element a22 = 1
Now, cofactor of aij is Aij. So
A11 = (–1)1 + 1 M11 = (–1)2 (3) = 3
A12 = (–1)1 + 2 M12 = (–1)3 (4) = – 4
A21 = (–1)2 + 1 M21 = (–1)3 (–2) = 2
A22 = (–1)2 + 2 M22 = (–1)4 (1) = 1
13.
(d)
Det (A) ∈ [2, 4]
14.
(b)
\(\frac{1}{det(A)}\)
15.
As if A = \(\begin{bmatrix} a & b \\ c & d \end{bmatrix}\) then \(\left| A \right| =\begin{bmatrix} a & b \\ c & d \end{bmatrix}\)
\(KA=\begin{bmatrix} Ka & Kb \\ Kc & Kd \end{bmatrix}\) and \(\left| KA \right| =\begin{bmatrix} Ka & Kb \\ Kc & Kd \end{bmatrix}\)
\(={ K }^{ 2 }\begin{vmatrix} a & b \\ c & d \end{vmatrix}={ K }^{ 2 }|A|\)
16.
\({ \triangle }_{ 1 }=\left| \begin{matrix} Ax & By & Cz \\ { x }^{ 2 } & { y }^{ 2 } & { z }^{ 2 } \\ yz & zx & xy \end{matrix} \right| \)
C1 ⟶ xC1, C2 ⟶ yC2 and C3 ⟶ zC3 and dividing determinat by xyz
= \(\frac { 1 }{ xyz } \left| \begin{matrix} { Ax }^{ 2 } & { By }^{ 2 } & { Cz }^{ 2 } \\ { x }^{ 2 } & { y }^{ 2 } & { z }^{ 2 } \\ xyz & xyz & xyz \end{matrix} \right| \)
Taking xyz common from R3, we get
\(\frac { xyz }{ xyz } \left| \begin{matrix} { Ax }^{ 2 } & { By }^{ 2 } & { Cz }^{ 2 } \\ { x }^{ 2 } & { y }^{ 2 } & { z }^{ 2 } \\ 1 & 1 & 1 \end{matrix} \right| \)
= \(\left| \begin{matrix} { Ax }^{ 2 } & { By }^{ 2 } & { Cz }^{ 2 } \\ { x }^{ 2 } & { y }^{ 2 } & { z }^{ 2 } \\ 1 & 1 & 1 \end{matrix} \right| =\left| \begin{matrix} { Ax }^{ 2 } & x^{ 3 } & 1 \\ { By }^{ 2 } & { y }^{ 3 } & 1 \\ { Cz }^{ 2 } & { z }^{ 3 } & 1 \end{matrix} \right| \)=Δ
⇒ Δ1 - Δ = 0
17.
Δ = 6(-1)- 1(1) = -7
18.
As \(\begin{vmatrix} 2x & -1 \\ 4 & 2 \end{vmatrix}=\begin{vmatrix} 3 & 0 \\ 2 & 1 \end{vmatrix}\)
⇒ 4x + 4 = 3 - 0
⇒ x = \(-\frac { 1 }{ 4 } \)
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