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Q.Let a⃗\vec{a}, b⃗\vec{b} and c⃗\vec{c} be three vectors such that ∣a⃗∣=1|\vec{a}| = 1, ∣b⃗∣=2|\vec{b}| = 2, ∣c⃗∣=3|\vec{c}| = 3. If the projection of b⃗\vec{b} along a⃗\vec{a} is equal to the projection of c⃗\vec{c} along a⃗\vec{a}; and b⃗\vec{b}, c⃗\vec{c} are perpendicular to each other, then find ∣3a⃗−2b⃗+2c⃗∣|3\vec{a} - 2\vec{b} + 2\vec{c}|.

CBSECBSE Class XII Board 2019Subjective· 4mImportance★★★★★
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When two vectors have equal projections along a third and are perpendicular to each other, their dot products with the reference vector are equal and their mutual dot product vanishes. Using these constraints to evaluate ∣3a⃗−2b⃗+2c⃗∣2|3\vec{a} - 2\vec{b} + 2\vec{c}|^2 gives 61\boxed{\sqrt{61}}.

The projection of one vector along another measures how much of the first vector lies in the direction of the second. For vector b⃗\vec{b} along a⃗\vec{a}, this projection is b⃗⋅a⃗∣a⃗∣\frac{\vec{b} \cdot \vec{a}}{|\vec{a}|}. The condition that two vectors have equal projections along a third tells us something fundamental about their dot products with that reference direction.

When b⃗\vec{b} and c⃗\vec{c} are perpendicular, they satisfy b⃗⋅c⃗=0\vec{b} \cdot \vec{c} = 0. Combined with the equal-projection condition, we have enough information to compute any expression involving these three vectors.

Setting up the constraints

The projection of b⃗\vec{b} along a⃗\vec{a} is:

proja⃗b⃗=b⃗⋅a⃗∣a⃗∣=b⃗⋅a⃗1=b⃗⋅a⃗\text{proj}_{\vec{a}} \vec{b} = \frac{\vec{b} \cdot \vec{a}}{|\vec{a}|} = \frac{\vec{b} \cdot \vec{a}}{1} = \vec{b} \cdot \vec{a}

Similarly, the projection of c⃗\vec{c} along a⃗\vec{a} is:

proja⃗c⃗=c⃗⋅a⃗\text{proj}_{\vec{a}} \vec{c} = \vec{c} \cdot \vec{a}

Since these projections are equal:

a⃗⋅b⃗=a⃗⋅c⃗\vec{a} \cdot \vec{b} = \vec{a} \cdot \vec{c}

The perpendicularity condition gives:

b⃗⋅c⃗=0\vec{b} \cdot \vec{c} = 0

Computing the magnitude

To find ∣3a⃗−2b⃗+2c⃗∣|3\vec{a} - 2\vec{b} + 2\vec{c}|, we square the expression:

∣3a⃗−2b⃗+2c⃗∣2=(3a⃗−2b⃗+2c⃗)⋅(3a⃗−2b⃗+2c⃗)|3\vec{a} - 2\vec{b} + 2\vec{c}|^2 = (3\vec{a} - 2\vec{b} + 2\vec{c}) \cdot (3\vec{a} - 2\vec{b} + 2\vec{c})

Expanding this dot product systematically:

  1. The squared terms:

    • (3a⃗)⋅(3a⃗)=9∣a⃗∣2=9(1)2=9(3\vec{a}) \cdot (3\vec{a}) = 9|\vec{a}|^2 = 9(1)^2 = 9
    • (−2b⃗)⋅(−2b⃗)=4∣b⃗∣2=4(2)2=16(-2\vec{b}) \cdot (-2\vec{b}) = 4|\vec{b}|^2 = 4(2)^2 = 16
    • (2c⃗)⋅(2c⃗)=4∣c⃗∣2=4(3)2=36(2\vec{c}) \cdot (2\vec{c}) = 4|\vec{c}|^2 = 4(3)^2 = 36
  2. The cross terms:

    • 2(3a⃗)⋅(−2b⃗)=−12(a⃗⋅b⃗)2(3\vec{a}) \cdot (-2\vec{b}) = -12(\vec{a} \cdot \vec{b}) …

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