Question:

Let \(\vec a=a_1\hat i+a_2\hat j+a_3\hat k\)\(a_i>0,\ i=1, 2, 3\) be a vector which makes equal angles with the coordinate axes OX, OY and OZ. Also, let the projection of \(\vec a\) on the vector \(3\hat i+4\hat j\) be 7. Let \(\vec b\) be a vector obtained by rotating \(\vec a\) with 90°. If \(\vec a,\vec b\) and x-axis are co-planar, then projection of a vector \(\vec b\) on \(3\hat i+4\hat j\) is equal to :

Updated On: Sep 24, 2024
  • \(\sqrt 7\)

  • \(\sqrt 2\)

  • \(2\)

  • \(7\)

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The Correct Option is B

Solution and Explanation

\(cos^2α+cos^2β+cos^2⁡γ=1\)

⇒ \(cos^2⁡α=\frac 13\)

\(⇒cos\ ⁡α=\frac {1}{\sqrt 3}\)

\(\vec a=\frac {λ}{3}(\hat i+\hat j+\hat k),\  λ>0\)

\(\frac {λ}{\sqrt 3}\frac {(\hat i+\hat j+\hat k)⋅(3\hat i+4\hat j)}{\sqrt {3^2+4^2}}=7\)

\(⇒\frac {λ}{\sqrt 3}(3+4)=7×5\)

∴ \(λ=5\sqrt 3\)

\(\vec a=5(\hat i+\hat j+\hat k)\)
Let
\(\vec b=p\hat i+q\hat j+r\hat k\)
\(\vec a⋅\vec b=0\) and \([\vec a \vec b \hat i]=0\)
\(⇒ p + q + r = 0\)       …(i)
And
\(\begin{vmatrix} p & q & r \\ 1 & 1 & 1 \\ 1 & 0 & 0 \end{vmatrix}=0\)
\(⇒\vec b=−2r\hat i+r\hat j+r\hat k\)
\(⇒\vec b=r(−2\hat i+\hat j+\hat k)\)
Now
\(|\vec a|=|\vec b|\)
\(5\sqrt 3=|r|\sqrt b\)
\(|r|=5\sqrt 2\)
Projection of \(\vec b\) on \(3\hat i+4\hat j\)
\(|\frac {\vec b⋅(3\hat i+4\hat j)}{\sqrt {3^2+4^2}}|\)

=\(|r|\frac {(−6+4)}{5}\)

=\(|−\frac 25|\)
Projection =\(\frac 25×\frac {5}{\sqrt 2}\)
Projection = \(\sqrt 2\)

So, the correct option is (b): \(\sqrt 2\)

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Concepts Used:

Vector Algebra

A vector is an object which has both magnitudes and direction. It is usually represented by an arrow which shows the direction(→) and its length shows the magnitude. The arrow which indicates the vector has an arrowhead and its opposite end is the tail. It is denoted as

The magnitude of the vector is represented as |V|. Two vectors are said to be equal if they have equal magnitudes and equal direction.

Vector Algebra Operations:

Arithmetic operations such as addition, subtraction, multiplication on vectors. However, in the case of multiplication, vectors have two terminologies, such as dot product and cross product.