Given vectors
a ⃗ = 3 i ^ − j ^ + 2 k ^ \vec a = 3\hat i - \hat j + 2\hat k a = 3 i ^ − j ^ + 2 k ^
So in component form,
a ⃗ = ( 3 , − 1 , 2 ) \vec a = (3,-1,2) a = ( 3 , − 1 , 2 )
We also have
b ⃗ = a ⃗ × ( i ^ − 2 k ^ ) \vec b = \vec a \times (\hat i - 2\hat k) b = a × ( i ^ − 2 k ^ )
and
i ^ − 2 k ^ = ( 1 , 0 , − 2 ) . \hat i - 2\hat k = (1,0,-2). i ^ − 2 k ^ = ( 1 , 0 , − 2 ) .
Compute b ⃗ = a ⃗ × ( 1 , 0 , − 2 ) \vec b = \vec a \times (1,0,-2) b = a × ( 1 , 0 , − 2 )
Using determinant:
b ⃗ = ∣ i ^ j ^ k ^ 3 − 1 2 1 0 − 2 ∣ \vec b=
\begin{vmatrix}
\hat i & \hat j & \hat k\\
3 & -1 & 2\\
1 & 0 & -2
\end{vmatrix} b = i ^ 3 1 j ^ − 1 0 k ^ 2 − 2
b ⃗ = i ^ ( ( − 1 ) ( − 2 ) − 2 ⋅ 0 ) − j ^ ( 3 ( − 2 ) − 2 ⋅ 1 ) + k ^ ( 3 ⋅ 0 − ( − 1 ) ⋅ 1 ) \vec b = \hat i\big((-1)(-2)-2\cdot 0\big)-\hat j\big(3(-2)-2\cdot 1\big)+\hat k\big(3\cdot 0-(-1)\cdot 1\big) b = i ^ ( ( − 1 ) ( − 2 ) − 2 ⋅ 0 ) − j ^ ( 3 ( − 2 ) − 2 ⋅ 1 ) + k ^ ( 3 ⋅ 0 − ( − 1 ) ⋅ 1 )
b ⃗ = i ^ ( 2 ) − j ^ ( − 6 − 2 ) + k ^ ( 1 ) \vec b = \hat i(2)-\hat j(-6-2)+\hat k(1) b = i ^ ( 2 ) − j ^ ( − 6 − 2 ) + k ^ ( 1 )
b ⃗ = 2 i ^ + 8 j ^ + k ^ \vec b = 2\hat i+8\hat j+\hat k b = 2 i ^ + 8 j ^ + k ^
So,
b ⃗ = ( 2 , 8 , 1 ) . \vec b=(2,8,1). b = ( 2 , 8 , 1 ) .
Compute c ⃗ = b ⃗ × k ^ \vec c = \vec b \times \hat k c = b × k ^
Since k ^ = ( 0 , 0 , 1 ) \hat k=(0,0,1) k ^ = ( 0 , 0 , 1 ) ,
c ⃗ = ∣ i ^ j ^ k ^ 2 8 1 0 0 1 ∣ \vec c=
\begin{vmatrix}
\hat i & \hat j & \hat k\\
2 & 8 & 1\\
0 & 0 & 1
\end{vmatrix} c = i ^ 2 0 j ^ 8 0 k ^ 1 1
c ⃗ = i ^ ( 8 ⋅ 1 − 1 ⋅ 0 ) − j ^ ( 2 ⋅ 1 − 1 ⋅ 0 ) + k ^ ( 2 ⋅ 0 − 8 ⋅ 0 ) \vec c = \hat i(8\cdot 1-1\cdot 0)-\hat j(2\cdot 1-1\cdot 0)+\hat k(2\cdot 0-8\cdot 0) c = i ^ ( 8 ⋅ 1 − 1 ⋅ 0 ) − j ^ ( 2 ⋅ 1 − 1 ⋅ 0 ) + k ^ ( 2 ⋅ 0 − 8 ⋅ 0 )
c ⃗ = 8 i ^ − 2 j ^ \vec c = 8\hat i-2\hat j c = 8 i ^ − 2 j ^
Thus,
c ⃗ = ( 8 , − 2 , 0 ) . \vec c=(8,-2,0). c = ( 8 , − 2 , 0 ) .
Find c ⃗ − 2 j ^ \vec c-2\hat j c − 2 j ^
c ⃗ − 2 j ^ = 8 i ^ − 2 j ^ − 2 j ^ = 8 i ^ − 4 j ^ \vec c-2\hat j = 8\hat i-2\hat j-2\hat j = 8\hat i-4\hat j c − 2 j ^ = 8 i ^ − 2 j ^ − 2 j ^ = 8 i ^ − 4 j ^
So,
c ⃗ − 2 j ^ = ( 8 , − 4 , 0 ) . \vec c-2\hat j=(8,-4,0). c − 2 j ^ = ( 8 , − 4 , 0 ) .
Projection of c ⃗ − 2 j ^ \vec c-2\hat j c − 2 j ^ on a ⃗ \vec a a
The scalar projection of vector u ⃗ \vec u u on a ⃗ \vec a a is
proj a ⃗ ( u ⃗ ) = u ⃗ ⋅ a ⃗ ∣ a ⃗ ∣ . \text{proj}_{\vec a}(\vec u)=\frac{\vec u\cdot \vec a}{|\vec a|}. proj a ( u ) = ∣ a ∣ u ⋅ a .
Here,
u ⃗ = ( 8 , − 4 , 0 ) , a ⃗ = ( 3 , − 1 , 2 ) . \vec u = (8,-4,0), \qquad \vec a=(3,-1,2). u = ( 8 , − 4 , 0 ) , a = ( 3 , − 1 , 2 ) .
First compute the dot product:
u ⃗ ⋅ a ⃗ = 8 ⋅ 3 + ( − 4 ) ( − 1 ) + 0 ⋅ 2 = 24 + 4 = 28. \vec u\cdot \vec a = 8\cdot 3 + (-4)(-1) + 0\cdot 2 = 24+4=28. u ⋅ a = 8 ⋅ 3 + ( − 4 ) ( − 1 ) + 0 ⋅ 2 = 24 + 4 = 28.
Now compute ∣ a ⃗ ∣ |\vec a| ∣ a ∣ :
∣ a ⃗ ∣ = 3 2 + ( − 1 ) 2 + 2 2 = 9 + 1 + 4 = 14 . |\vec a|=\sqrt{3^2+(-1)^2+2^2}=\sqrt{9+1+4}=\sqrt{14}. ∣ a ∣ = 3 2 + ( − 1 ) 2 + 2 2 = 9 + 1 + 4 = 14 .
Therefore,
projection = 28 14 = 28 14 14 = 2 14 . \text{projection} = \frac{28}{\sqrt{14}}=\frac{28\sqrt{14}}{14}=2\sqrt{14}. projection = 14 28 = 14 28 14 = 2 14 .
Check options
A: 2 7 2\sqrt7 2 7
B: 3 7 3\sqrt7 3 7
C: 14 \sqrt{14} 14
D: 2 14 2\sqrt{14} 2 14
Hence the correct option is
D : 2 14 \boxed{D:~2\sqrt{14}} D : 2 14