Q.Find the shortest distance between the lines l1 and l2 whose vector equations are r=i^+j^+λ(2i^−j^+k^) and r=2i^+j^−k^+μ(3i^−5j^+2k^).
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Concept understanding — Skew Lines
Skew Lines
In a plane, two straight lines have only two possibilities: they meet, or they are parallel. In three dimensions a third possibility appears — lines that neither meet nor run parallel. These are skew lines.
What Makes Lines Skew
Two lines in space are skew if they are not parallel and do not intersect. The deeper reason is that skew lines do not lie in the same plane — they are non-coplanar. Parallel lines and intersecting lines always share a plane; skew lines never do.
Note
A classic picture: one edge along the top of a room and a different edge along the floor, running in a different direction. Extend them forever and they still never touch, yet they are clearly not parallel.
The Three Cases in Space
Lines
Directions
Do they meet?
Coplanar?
Intersecting
different
yes, at one point
yes
Parallel
same (proportional)
no
yes
Skew
different
no
no
How to Test for Skew Lines
Take two lines r=a1+λb1 and r=a2+μb2.
Not parallel:b1 and b2 are not proportional (so b1×b2=0).
Do not intersect: no values of λ,μ make the points coincide.
Both conditions are captured by one scalar triple product. The lines are skew exactly when
(a2−a1)⋅(b1×b2)=0.
If this value is zero, the lines are coplanar (they intersect or are parallel); if it is non-zero, they are skew.
Shortest Distance Between Skew Lines
Because skew lines miss each other, there is a well-defined shortest distance between them, measured along their common perpendicular:
d=∣b1×b2∣∣(a2−a1)⋅(b1×b2)∣.
Tip
The numerator here is exactly the skew-test triple product. So d=0 precisely when the lines are coplanar — the same condition, seen as a distance.
The Takeaway
Skew lines are the genuinely 3D case: non-parallel, non-intersecting, and non-coplanar. Test for them with the scalar triple product of the join vector and the two direction vectors, and when it is non-zero the same expression (divided by ∣b1×b2∣) gives the shortest distance between them.
Skew lines are a signature topic of the NCERT Class 12 Three Dimensional Geometry chapter, and "shortest distance between skew lines formula" is one of the most searched queries among CBSE board and JEE Main aspirants. This scalar-triple-product test is also the standard way boards ask students to distinguish skew lines from parallel or intersecting ones.
Concept: Skew Lines — lines that are neither parallel nor intersecting; the shortest distance is the length of the common perpendicular.
The shortest distance between two skew lines is the length of the common perpendicular segment. Using the formula ∣b1×b2∣∣(b1×b2)⋅(a2−a1)∣, we find the distance is 5910 units.
Why This Works: The Concept of Skew Lines
Two lines in space 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 unique line segment that is perpendicular to both lines simultaneously — the common perpendicular.
Think of it this way: if you take a vector along each line (b1 and b2), their cross product b1×b2 gives a direction perpendicular to both. The shortest distance is then the projection of the vector joining any point on one line to any point on the other line onto this common perpendicular direction.
Shortest distance between skew lines r=a1+λb1 and r=a2+μb2 is:
d=∣b1×b2∣∣(b1×b2)⋅(a2−a1)∣
Step-by-Step Solution
1. Identify the vectors from the given equations
From l1:r=i^+j^+λ(2i^−j^+k^), we have:
a1=i^+j^+0k^ (a point on l1)
b1=2i^−j^+k^ (direction vector of l1)
From l2:r=2i^+j^−k^+μ(3i^−5j^+2k^), we have:
a2=2i^+j^−k^
b2=3i^−5j^+2k^
2. Find the vector joining the two points
a2−a1=(2i^+j^−k^)−(i^+j^+0k^)=i^+0j^−k^
So a2−a1=i^−k^.
3. Compute the cross product b1×b2
b1×b2=i^23j^−1−5k^12
Expanding:
i^ component: (−1)(2)−(1)(−5)=−2+5=3
j^ component: −((2)(2)−(1)(3))=−(4−3)=−1
k^ component: (2)(−5)−(−1)(3)=−10+3=−7
Thus b1×b2=3i^−j^−7k^.
Tip
When computing cross products, be careful with the minus sign on the j^ term — it's a classic slip point. The determinant expansion is i^(b1yb2z−b1zb2y)−j^(b1xb2z−b1zb2x)+k^(b1xb2y−b1yb2x).
4. Find the magnitude of this cross product
∣b1×b2∣=32+(−1)2+(−7)2=9+1+49=59
5. Compute the scalar triple product (b1×b2)⋅(a2−a1)
(b1×b2)⋅(a2−a1)=(3i^−j^−7k^)⋅(i^+0j^−k^)
=3(1)+(−1)(0)+(−7)(−1)=3+0+7=10
6. Apply the shortest distance formula
d=∣b1×b2∣∣(b1×b2)⋅(a2−a1)∣=59∣10∣=5910
Watch out
A common mistake is to forget the absolute value in the numerator. The scalar triple product can be negative depending on the orientation of vectors — distance is always positive, so we take the absolute value.
✓Final answer
The shortest distance between the lines is 5910 units.
Method: Shortest Distance Between Two Skew Lines (Vector Form)
Use this when two lines r=a1+λb1 and r=a2+μb2 are skew (non-parallel, non-intersecting) and you need the shortest distance between them.
Steps
Step 1: Extract points and directions.
Read a1,b1 from the first line and a2,b2 from the second, treating any absent component as 0.
Step 2: Compute b1×b2 and the join vector a2−a1.
The cross product points along the common perpendicular; take special care with the sign of its middle (j^) term, a frequent slip.
Step 3: Form the distance.
d=∣b1×b2∣∣(a2−a1)⋅(b1×b2)∣
This is (triple-product volume)/(base area) = height, i.e. the perpendicular gap. Keep the modulus. Before using it, confirm the lines really are skew: if b1×b2=0 they are parallel and this formula's denominator vanishes — switch to the parallel-line method.
Common Mistakes
Mistake 1: Sign slip on the j^ term of the cross product.
Why it's wrong: the middle cofactor carries a leading minus, −[(2)(2)−(1)(3)]=−1; mishandling it changes b1×b2 and the whole answer. Correct approach: expand as i^(⋯)−j^(⋯)+k^(⋯), giving (3,−1,−7).
Mistake 2: Omitting the modulus in the numerator.
Why it's wrong: the triple product can come out negative, but distance is non-negative. Correct approach: take the absolute value before dividing, giving d=5910.
Mistake 3: Dropping the missing j^ component of a point.
Why it's wrong: i^+j^ has z=0, and 2i^+j^−k^ must be read as (2,1,−1); a mis-read join vector breaks the numerator. Correct approach: write each point as a full (x,y,z) triple.