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ISC 2027
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Three Dimensional Geometry

5 articles23 formulas28 ways the board asks it
MATLines in Space

Angle Between Two Lines & Shortest Distance Between Skew Lines

The angle between two lines depends only on their direction vectors and is found via the dot product. Lines in space may intersect, be parallel, or be skew (non-parallel and non-intersecting); the shortest distance between skew lines is measured along their common perpendicular.

ISC heavily examines the scalar-triple-product distance formula and the coplanarity/intersection test (shortest distance =0=0).

Angle between two lines
cos⁡θ=∣b1⃗⋅b2⃗∣∣b1⃗∣ ∣b2⃗∣\cos\theta = \dfrac{|\vec{b_1} \cdot \vec{b_2}|}{|\vec{b_1}|\,|\vec{b_2}|}
b1⃗,b2⃗\vec{b_1}, \vec{b_2} are the direction vectors of the two lines; the modulus in the numerator gives the acute angle θ\theta.
Shortest distance between skew lines (vector form)
d=∣ (a2⃗−a1⃗)⋅(b1⃗×b2⃗) ∣∣b1⃗×b2⃗∣d = \dfrac{\left|\,(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2})\,\right|}{|\vec{b_1} \times \vec{b_2}|}
Lines r⃗=a1⃗+λb1⃗\vec{r} = \vec{a_1} + \lambda\vec{b_1} and r⃗=a2⃗+μb2⃗\vec{r} = \vec{a_2} + \mu\vec{b_2}; the numerator is the magnitude of the scalar triple product.
Coplanarity / intersection condition
(a2⃗−a1⃗)⋅(b1⃗×b2⃗)=0(\vec{a_2} - \vec{a_1}) \cdot (\vec{b_1} \times \vec{b_2}) = 0
When this scalar triple product is zero (so d=0d = 0) and b1⃗∦b2⃗\vec{b_1} \nparallel \vec{b_2}, the lines are coplanar and intersect.
Distance between parallel lines
d=∣(a2⃗−a1⃗)×b⃗∣∣b⃗∣d = \dfrac{|(\vec{a_2} - \vec{a_1}) \times \vec{b}|}{|\vec{b}|}
Both lines have the same direction b⃗\vec{b}; a1⃗,a2⃗\vec{a_1}, \vec{a_2} are points on each line.
Shortest distance (Cartesian determinant form)
d=∣x2−x1y2−y1z2−z1a1b1c1a2b2c2∣(b1c2−b2c1)2+(c1a2−c2a1)2+(a1b2−a2b1)2d = \dfrac{\begin{vmatrix} x_2-x_1 & y_2-y_1 & z_2-z_1 \\ a_1 & b_1 & c_1 \\ a_2 & b_2 & c_2 \end{vmatrix}}{\sqrt{(b_1 c_2 - b_2 c_1)^2 + (c_1 a_2 - c_2 a_1)^2 + (a_1 b_2 - a_2 b_1)^2}}
(xi,yi,zi)(x_i,y_i,z_i) are points and (ai,bi,ci)(a_i,b_i,c_i) direction ratios of the two lines; take the modulus of the whole expression (the determinant may come out negative).
  • Use the modulus ∣b1⃗⋅b2⃗∣|\vec{b_1}\cdot\vec{b_2}| to always report the acute angle; without it you may get the obtuse supplement.
  • Two lines are perpendicular when b1⃗⋅b2⃗=0\vec{b_1}\cdot\vec{b_2} = 0, i.e. a1a2+b1b2+c1c2=0a_1 a_2 + b_1 b_2 + c_1 c_2 = 0; parallel when b1⃗×b2⃗=0⃗\vec{b_1} \times \vec{b_2} = \vec{0} (ratios proportional).
  • Skew lines are non-parallel AND non-intersecting; for them b1⃗×b2⃗≠0⃗\vec{b_1}\times\vec{b_2} \ne \vec{0} and the scalar triple product ≠0\ne 0.
  • If d=0d = 0 and the lines are not parallel, they intersect — substitute back to find the point by equating parametric coordinates.
  • For parallel lines the scalar-triple-product formula fails (denominator =0=0); use the cross-product distance formula with the common direction b⃗\vec{b}.
  • b1⃗×b2⃗\vec{b_1}\times\vec{b_2} gives the direction of the common perpendicular between the two skew lines.
  • To find the intersection point: set x1+a1λ=x2+a2μx_1+a_1\lambda = x_2+a_2\mu etc., solve any two equations for λ,μ\lambda, \mu, then verify in the third.
  • Always simplify the final surd and state the distance in the given units (e.g. km, m).
Where the marks go
  • Omitting the modulus, giving a negative distance or the obtuse angle instead of the required acute angle.
  • Using the scalar-triple-product formula on parallel lines (where b1⃗×b2⃗=0⃗\vec{b_1}\times\vec{b_2}=\vec{0}) — switch to the parallel-line formula.
  • Forgetting to verify intersection in the third equation after solving for λ\lambda and μ\mu; consistency in only two equations does not prove intersection.
  • Computing (a2⃗−a1⃗)(\vec{a_2}-\vec{a_1}) in the wrong order, or mis-evaluating the cross-product/determinant signs, leading to a wrong magnitude.
How the board asks it
  • Numericalscalar triple product distance formula
    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}).
  • Numericalangle between two lines via dot product
    Find the acute angle between the lines x−22=y−15=z+3−3\dfrac{x-2}{2}=\dfrac{y-1}{5}=\dfrac{z+3}{-3} and x+2−1=y−48=z−54\dfrac{x+2}{-1}=\dfrac{y-4}{8}=\dfrac{z-5}{4}.
  • Give reasonscoplanarity and intersection condition
    Show that the lines x−12=y−23=z−34\dfrac{x-1}{2}=\dfrac{y-2}{3}=\dfrac{z-3}{4} and x−45=y−12=z1\dfrac{x-4}{5}=\dfrac{y-1}{2}=\dfrac{z}{1} intersect, and hence find their point of intersection.
  • Numericaldistance between parallel lines (cross-product formula)
    Show that the lines r⃗=(i^+2j^−4k^)+λ(2i^+3j^+6k^)\vec{r} = (\hat{i}+2\hat{j}-4\hat{k}) + \lambda(2\hat{i}+3\hat{j}+6\hat{k}) and r⃗=(3i^+3j^−5k^)+μ(2i^+3j^+6k^)\vec{r} = (3\hat{i}+3\hat{j}-5\hat{k}) + \mu(2\hat{i}+3\hat{j}+6\hat{k}) are parallel, and find the distance between them.
  • Applicationshortest distance between skew lines
    Two paths are modelled by r⃗=(3i^+8j^+3k^)+λ(3i^−j^+k^)\vec{r} = (3\hat{i}+8\hat{j}+3\hat{k}) + \lambda(3\hat{i}-\hat{j}+\hat{k}) and r⃗=(−3i^−7j^+6k^)+μ(−3i^+2j^+4k^)\vec{r} = (-3\hat{i}-7\hat{j}+6\hat{k}) + \mu(-3\hat{i}+2\hat{j}+4\hat{k}) (distances in km\text{km}); find the shortest distance between the two paths.

Practise this topic

Written for Sublevo. Question text quoted anywhere in these notes is the Council’s and carries its year and paper; the board’s own diagrams are not reproduced.