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Exercise 11.2 · Q12

Q.Find the shortest distance between the lines r⃗=(i^+2j^+k^)+λ(i^−j^+k^)\vec{r} = (\hat{i} + 2\hat{j} + \hat{k}) + \lambda(\hat{i} - \hat{j} + \hat{k}) and r⃗=2i^−j^−k^+μ(2i^+j^+2k^)\vec{r} = 2\hat{i} - \hat{j} - \hat{k} + \mu(2\hat{i} + \hat{j} + 2\hat{k})

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The shortest distance between two skew lines is the length of the common perpendicular. Using the formula d=∣(b⃗1×b⃗2)⋅(a⃗2−a⃗1)∣∣b⃗1×b⃗2∣d = \frac{|(\vec{b}_1 \times \vec{b}_2) \cdot (\vec{a}_2 - \vec{a}_1)|}{|\vec{b}_1 \times \vec{b}_2|}, we find the distance is 32\frac{3}{\sqrt{2}} units.

Concept First: Why This Formula Works

Two lines in 3D that are neither parallel nor intersecting are called skew lines. They don't lie in the same plane, so the shortest distance between them is the length of the line segment that is perpendicular to both lines simultaneously.

Think of it this way: if you take the direction vectors of both lines (b⃗1\vec{b}_1 and b⃗2\vec{b}_2), their cross product b⃗1×b⃗2\vec{b}_1 \times \vec{b}_2 gives a vector perpendicular to both. The shortest distance is simply the projection of the vector joining any point on one line to any point on the other line, onto this common perpendicular direction.

d=∣(b⃗1×b⃗2)⋅(a⃗2−a⃗1)∣∣b⃗1×b⃗2∣d = \frac{|(\vec{b}_1 \times \vec{b}_2) \cdot (\vec{a}_2 - \vec{a}_1)|}{|\vec{b}_1 \times \vec{b}_2|}

Where a⃗1\vec{a}_1 and a⃗2\vec{a}_2 are position vectors of points on the two lines, and b⃗1\vec{b}_1, b⃗2\vec{b}_2 are their direction vectors.

Step-by-Step Solution

1. Identify the vectors from the given equations

First line: r⃗=(i^+2j^+k^)+λ(i^−j^+k^)\vec{r} = (\hat{i} + 2\hat{j} + \hat{k}) + \lambda(\hat{i} - \hat{j} + \hat{k})

So a⃗1=i^+2j^+k^\vec{a}_1 = \hat{i} + 2\hat{j} + \hat{k} and b⃗1=i^−j^+k^\vec{b}_1 = \hat{i} - \hat{j} + \hat{k}

Second line: r⃗=2i^−j^−k^+μ(2i^+j^+2k^)\vec{r} = 2\hat{i} - \hat{j} - \hat{k} + \mu(2\hat{i} + \hat{j} + 2\hat{k})

So a⃗2=2i^−j^−k^\vec{a}_2 = 2\hat{i} - \hat{j} - \hat{k} and b⃗2=2i^+j^+2k^\vec{b}_2 = 2\hat{i} + \hat{j} + 2\hat{k}

2. Find the vector connecting a point on each line

a⃗2−a⃗1=(2i^−j^−k^)−(i^+2j^+k^)=i^−3j^−2k^\vec{a}_2 - \vec{a}_1 = (2\hat{i} - \hat{j} - \hat{k}) - (\hat{i} + 2\hat{j} + \hat{k}) = \hat{i} - 3\hat{j} - 2\hat{k}

3. Compute the cross product b⃗1×b⃗2\vec{b}_1 \times \vec{b}_2

b⃗1×b⃗2=∣i^j^k^1−11212∣\vec{b}_1 \times \vec{b}_2 = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & -1 & 1 \\ 2 & 1 & 2 \end{vmatrix}

Expanding:

  • i^\hat{i} component: (−1)(2)−(1)(1)=−2−1=−3(-1)(2) - (1)(1) = -2 - 1 = -3
  • j^\hat{j} component: −(1)(2)−(1)(2)=−(2−2)=0-(1)(2) - (1)(2) = -(2 - 2) = 0
  • k^\hat{k} component: (1)(1)−(−1)(2)=1+2=3(1)(1) - (-1)(2) = 1 + 2 = 3

So b⃗1×b⃗2=−3i^+0j^+3k^=−3i^+3k^\vec{b}_1 \times \vec{b}_2 = -3\hat{i} + 0\hat{j} + 3\hat{k} = -3\hat{i} + 3\hat{k} …

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