Vectors are like arrows, they have both direction and magnitude, unlike scalars which are just numbers: Vectors provide a coordinate-free way to describe physical quantities that have direction, making physics equations independent of the coordinate system chosen
Why it matters: From GPS navigation to computer animation to quantum mechanics, vectors are the language of directional quantities
The key insight: Vectors provide a coordinate-free way to describe physical quantities that have direction, making physics equations independent of the coordinate system chosen
Tests edge cases, boundary conditions, and common misconceptions for vectors.
Question:
Two lines are given by:
L 1 : r = ( 1 2 0 ) + λ ( 2 1 − 1 ) L_1: \mathbf{r} = \begin{pmatrix} 1 \\ 2 \\ 0 \end{pmatrix} + \lambda \begin{pmatrix} 2 \\ 1 \\ -1 \end{pmatrix} L 1 : r = 1 2 0 + λ 2 1 − 1 L 2 : r = ( 3 1 4 ) + μ ( 1 − 1 2 ) L_2: \mathbf{r} = \begin{pmatrix} 3 \\ 1 \\ 4 \end{pmatrix} + \mu \begin{pmatrix} 1 \\ -1 \\ 2 \end{pmatrix} L 2 : r = 3 1 4 + μ 1 − 1 2 (a) Determine whether L 1 L_1 L 1 and L 2 L_2 L 2 are parallel, intersecting, or skew.
(b) If skew, find the shortest distance between them.
(c) A student claims: “Since the direction vectors are not scalar multiples, the lines must intersect.” Explain why this reasoning is wrong.
[Difficulty: hard. Tests classification of lines in 3D and computation of shortest distance between skew lines.]
Solution:
(a) The direction vectors are d 1 = ( 2 1 − 1 ) \mathbf{d}_1 = \begin{pmatrix} 2 \\ 1 \\ -1 \end{pmatrix} d 1 = 2 1 − 1 and d 2 = ( 1 − 1 2 ) \mathbf{d}_2 = \begin{pmatrix} 1 \\ -1 \\ 2 \end{pmatrix} d 2 = 1 − 1 2 .
These are not scalar multiples, so the lines are not parallel.
To check for intersection, set the position vectors equal:
1 + 2 λ = 3 + μ ⟹ 2 λ − μ = 2 (i) 1 + 2\lambda = 3 + \mu \implies 2\lambda - \mu = 2 \quad \text{(i)} 1 + 2 λ = 3 + μ ⟹ 2 λ − μ = 2 (i) 2 + λ = 1 − μ ⟹ λ + μ = − 1 (ii) 2 + \lambda = 1 - \mu \implies \lambda + \mu = -1 \quad \text{(ii)} 2 + λ = 1 − μ ⟹ λ + μ = − 1 (ii) 0 − λ = 4 + 2 μ ⟹ − λ − 2 μ = 4 (iii) 0 - \lambda = 4 + 2\mu \implies -\lambda - 2\mu = 4 \quad \text{(iii)} 0 − λ = 4 + 2 μ ⟹ − λ − 2 μ = 4 (iii) From (i) and (ii): adding gives 3 λ = 1 3\lambda = 1 3 λ = 1 So λ = 1 3 \lambda = \frac{1}{3} λ = 3 1 Then μ = − 4 3 \mu = -\frac{4}{3} μ = − 3 4 .
Check (iii): − 1 3 − 2 ( − 4 3 ) = − 1 3 + 8 3 = 7 3 ≠ 4 -\frac{1}{3} - 2\!\left(-\frac{4}{3}\right) = -\frac{1}{3} + \frac{8}{3} = \frac{7}{3} \neq 4 − 3 1 − 2 ( − 3 4 ) = − 3 1 + 3 8 = 3 7 = 4 .
The system is inconsistent, so the lines do not intersect. They are skew .
(b) The shortest distance between skew lines is:
d = ∣ ( a 2 − a 1 ) ⋅ ( d 1 × d 2 ) ∣ ∣ d 1 × d 2 ∣ d = \frac{\left|(\mathbf{a}_2 - \mathbf{a}_1) \cdot (\mathbf{d}_1 \times \mathbf{d}_2)\right|}{\lvert \mathbf{d}_1 \times \mathbf{d}_2 \rvert} d = ∣ d 1 × d 2 ∣ ∣ ( a 2 − a 1 ) ⋅ ( d 1 × d 2 ) ∣ a 2 − a 1 = ( 3 1 4 ) − ( 1 2 0 ) = ( 2 − 1 4 ) \mathbf{a}_2 - \mathbf{a}_1 = \begin{pmatrix} 3 \\ 1 \\ 4 \end{pmatrix} - \begin{pmatrix} 1 \\ 2 \\ 0 \end{pmatrix} = \begin{pmatrix} 2 \\ -1 \\ 4 \end{pmatrix} a 2 − a 1 = 3 1 4 − 1 2 0 = 2 − 1 4 d 1 × d 2 = ∣ i j k 2 1 − 1 1 − 1 2 ∣ = ( 1 − 5 − 3 ) \mathbf{d}_1 \times \mathbf{d}_2 = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 2 & 1 & -1 \\ 1 & -1 & 2 \end{vmatrix} = \begin{pmatrix} 1 \\ -5 \\ -3 \end{pmatrix} d 1 × d 2 = i 2 1 j 1 − 1 k − 1 2 = 1 − 5 − 3 ∣ d 1 × d 2 ∣ = 1 + 25 + 9 = 35 \lvert \mathbf{d}_1 \times \mathbf{d}_2 \rvert = \sqrt{1 + 25 + 9} = \sqrt{35} ∣ d 1 × d 2 ∣ = 1 + 25 + 9 = 35 ( a 2 − a 1 ) ⋅ ( d 1 × d 2 ) = 2 ( 1 ) + ( − 1 ) ( − 5 ) + 4 ( − 3 ) = 2 + 5 − 12 = − 5 (\mathbf{a}_2 - \mathbf{a}_1) \cdot (\mathbf{d}_1 \times \mathbf{d}_2) = 2(1) + (-1)(-5) + 4(-3) = 2 + 5 - 12 = -5 ( a 2 − a 1 ) ⋅ ( d 1 × d 2 ) = 2 ( 1 ) + ( − 1 ) ( − 5 ) + 4 ( − 3 ) = 2 + 5 − 12 = − 5 d = 5 35 = 5 35 35 = 35 7 d = \frac{5}{\sqrt{35}} = \frac{5\sqrt{35}}{35} = \frac{\sqrt{35}}{7} d = 35 5 = 35 5 35 = 7 35 (c) The student”s error is that in three dimensions, two lines that are not parallel can still fail to intersect. In 2D, non-parallel lines always intersect, but in 3D they can be skew, they pass at different “heights” and never meet. The student has incorrectly generalised the 2D result.
Question:
Three points are given: A ( 1 , 0 , 2 ) A(1, 0, 2) A ( 1 , 0 , 2 ) , B ( 3 , 1 , − 1 ) B(3, 1, -1) B ( 3 , 1 , − 1 ) And C ( 2 , 2 , 3 ) C(2, 2, 3) C ( 2 , 2 , 3 ) .
(a) Find the Cartesian equation of the plane Π \Pi Π passing through A A A , B B B And C C C .
(b) Find the perpendicular distance from the origin to Π \Pi Π .
(c) A student computes A B → × A C → \overrightarrow{AB} \times \overrightarrow{AC} A B × A C and gets ( 3 3 3 ) \begin{pmatrix} 3 \\ 3 \\ 3 \end{pmatrix} 3 3 3 Concluding the plane equation is x + y + z = 3 x + y + z = 3 x + y + z = 3 . Identify the error.
[Difficulty: hard. Tests plane from three points, normal vector computation, and point-to-plane distance.]
Solution:
(a)
A B → = ( 2 1 − 3 ) , A C → = ( 1 2 1 ) \overrightarrow{AB} = \begin{pmatrix} 2 \\ 1 \\ -3 \end{pmatrix}, \quad \overrightarrow{AC} = \begin{pmatrix} 1 \\ 2 \\ 1 \end{pmatrix} A B = 2 1 − 3 , A C = 1 2 1 n = A B → × A C → = ∣ i j k 2 1 − 3 1 2 1 ∣ \mathbf{n} = \overrightarrow{AB} \times \overrightarrow{AC} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 2 & 1 & -3 \\ 1 & 2 & 1 \end{vmatrix} n = A B × A C = i 2 1 j 1 2 k − 3 1 = i ( 1 + 6 ) − j ( 2 + 3 ) + k ( 4 − 1 ) = ( 7 − 5 3 ) = \mathbf{i}(1 + 6) - \mathbf{j}(2 + 3) + \mathbf{k}(4 - 1) = \begin{pmatrix} 7 \\ -5 \\ 3 \end{pmatrix} = i ( 1 + 6 ) − j ( 2 + 3 ) + k ( 4 − 1 ) = 7 − 5 3 Using point A ( 1 , 0 , 2 ) A(1, 0, 2) A ( 1 , 0 , 2 ) :
7 ( x − 1 ) − 5 ( y − 0 ) + 3 ( z − 2 ) = 0 7(x - 1) - 5(y - 0) + 3(z - 2) = 0 7 ( x − 1 ) − 5 ( y − 0 ) + 3 ( z − 2 ) = 0 7 x − 7 − 5 y + 3 z − 6 = 0 7x - 7 - 5y + 3z - 6 = 0 7 x − 7 − 5 y + 3 z − 6 = 0 7 x − 5 y + 3 z = 13 7x - 5y + 3z = 13 7 x − 5 y + 3 z = 13 (b) The distance from the origin ( 0 , 0 , 0 ) (0, 0, 0) ( 0 , 0 , 0 ) to the plane 7 x − 5 y + 3 z = 13 7x - 5y + 3z = 13 7 x − 5 y + 3 z = 13 is:
d = ∣ 7 ( 0 ) − 5 ( 0 ) + 3 ( 0 ) − 13 ∣ 49 + 25 + 9 = 13 83 d = \frac{|7(0) - 5(0) + 3(0) - 13|}{\sqrt{49 + 25 + 9}} = \frac{13}{\sqrt{83}} d = 49 + 25 + 9 ∣7 ( 0 ) − 5 ( 0 ) + 3 ( 0 ) − 13∣ = 83 13 (c) The student’s cross product computation is wrong. The correct cross product is ( 7 − 5 3 ) \begin{pmatrix} 7 \\ -5 \\ 3 \end{pmatrix} 7 − 5 3 Not ( 3 3 3 ) \begin{pmatrix} 3 \\ 3 \\ 3 \end{pmatrix} 3 3 3 . Specifically:
The x x x -component: 1 × 1 − ( − 3 ) × 2 = 1 + 6 = 7 1 \times 1 - (-3) \times 2 = 1 + 6 = 7 1 × 1 − ( − 3 ) × 2 = 1 + 6 = 7 Not 3 3 3 . The y y y -component: − ( 2 × 1 − ( − 3 ) × 1 ) = − ( 2 + 3 ) = − 5 -(2 \times 1 - (-3) \times 1) = -(2 + 3) = -5 − ( 2 × 1 − ( − 3 ) × 1 ) = − ( 2 + 3 ) = − 5 Not 3 3 3 . The z z z -component: 2 × 2 − 1 × 1 = 4 − 1 = 3 2 \times 2 - 1 \times 1 = 4 - 1 = 3 2 × 2 − 1 × 1 = 4 − 1 = 3 Which coincidentally matches. Tests synthesis of vectors with other topics.
Question:
Four points are given: O(0, 0, 0)$$A(2, 1, 0)$$B(1, 3, 2) And C ( 0 , 1 , 4 ) C(0, 1, 4) C ( 0 , 1 , 4 ) .
(a) Find the volume of tetrahedron O A B C OABC O A B C .
(b) Show that the four points are coplanar if and only if the scalar triple product [ O A → , O B → , O C → ] = 0 [\overrightarrow{OA}, \overrightarrow{OB}, \overrightarrow{OC}] = 0 [ O A , O B , O C ] = 0 .
[Difficulty: hard. Combines scalar triple product with geometric interpretation.]
Solution:
(a) The volume of a tetrahedron with vertices O$$A$$B$$C is:
V = 1 6 ∣ [ O A → , O B → , O C → ] ∣ V = \frac{1}{6}\lvert [\overrightarrow{OA}, \overrightarrow{OB}, \overrightarrow{OC}] \rvert V = 6 1 ∣[ O A , O B , O C ]∣ O A → = ( 2 1 0 ) , O B → = ( 1 3 2 ) , O C → = ( 0 1 4 ) \overrightarrow{OA} = \begin{pmatrix} 2 \\ 1 \\ 0 \end{pmatrix}, \quad \overrightarrow{OB} = \begin{pmatrix} 1 \\ 3 \\ 2 \end{pmatrix}, \quad \overrightarrow{OC} = \begin{pmatrix} 0 \\ 1 \\ 4 \end{pmatrix} O A = 2 1 0 , O B = 1 3 2 , O C = 0 1 4 [ O A → , O B → , O C → ] = O A → ⋅ ( O B → × O C → ) [\overrightarrow{OA}, \overrightarrow{OB}, \overrightarrow{OC}] = \overrightarrow{OA} \cdot (\overrightarrow{OB} \times \overrightarrow{OC}) [ O A , O B , O C ] = O A ⋅ ( O B × O C ) O B → × O C → = ∣ i j k 1 3 2 0 1 4 ∣ = ( 10 − 4 1 ) \overrightarrow{OB} \times \overrightarrow{OC} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 1 & 3 & 2 \\ 0 & 1 & 4 \end{vmatrix} = \begin{pmatrix} 10 \\ -4 \\ 1 \end{pmatrix} O B × O C = i 1 0 j 3 1 k 2 4 = 10 − 4 1 [ O A → , O B → , O C → ] = 2 ( 10 ) + 1 ( − 4 ) + 0 ( 1 ) = 20 − 4 = 16 [\overrightarrow{OA}, \overrightarrow{OB}, \overrightarrow{OC}] = 2(10) + 1(-4) + 0(1) = 20 - 4 = 16 [ O A , O B , O C ] = 2 ( 10 ) + 1 ( − 4 ) + 0 ( 1 ) = 20 − 4 = 16 V = 16 6 = 8 3 V = \frac{16}{6} = \frac{8}{3} V = 6 16 = 3 8 (b) The scalar triple product [ a , b , c ] = a ⋅ ( b × c ) [\mathbf{a}, \mathbf{b}, \mathbf{c}] = \mathbf{a} \cdot (\mathbf{b} \times \mathbf{c}) [ a , b , c ] = a ⋅ ( b × c ) equals the volume of the parallelepiped spanned by \mathbf{a}$$\mathbf{b} And c \mathbf{c} c .
If the four points are coplanar, the three vectors \overrightarrow{OA}$$\overrightarrow{OB}$$\overrightarrow{OC} all lie in the same plane, meaning the parallelepiped they span has zero volume (it is flat). Therefore [ O A → , O B → , O C → ] = 0 [\overrightarrow{OA}, \overrightarrow{OB}, \overrightarrow{OC}] = 0 [ O A , O B , O C ] = 0 .
Conversely, if the scalar triple product is zero, then a ⋅ ( b × c ) = 0 \mathbf{a} \cdot (\mathbf{b} \times \mathbf{c}) = 0 a ⋅ ( b × c ) = 0 Which means a \mathbf{a} a is perpendicular to b × c \mathbf{b} \times \mathbf{c} b × c . Since b × c \mathbf{b} \times \mathbf{c} b × c is perpendicular to the plane containing b \mathbf{b} b and c \mathbf{c} c It follows that a \mathbf{a} a lies in the same plane as b \mathbf{b} b and c \mathbf{c} c . Hence the four points are coplanar.
Question:
The plane Π \Pi Π has equation 2 x − y + 2 z = 5 2x - y + 2z = 5 2 x − y + 2 z = 5 . The point P P P has coordinates ( 1 , 3 , − 1 ) (1, 3, -1) ( 1 , 3 , − 1 ) .
(a) Find the coordinates of the reflection P ′ P' P ′ of P P P in the plane Π \Pi Π .
(b) Find the equation of the line P P ′ PP' P P ′ and verify that the midpoint of P P ′ PP' P P ′ lies on Π \Pi Π .
[Difficulty: hard. Combines line-plane intersection with vector geometry.]
Solution:
(a) The normal to Π \Pi Π is n = ( 2 − 1 2 ) \mathbf{n} = \begin{pmatrix} 2 \\ -1 \\ 2 \end{pmatrix} n = 2 − 1 2 .
The line through P P P perpendicular to Π \Pi Π is:
r = ( 1 3 − 1 ) + t ( 2 − 1 2 ) \mathbf{r} = \begin{pmatrix} 1 \\ 3 \\ -1 \end{pmatrix} + t\begin{pmatrix} 2 \\ -1 \\ 2 \end{pmatrix} r = 1 3 − 1 + t 2 − 1 2 Find the foot of the perpendicular (intersection with Π \Pi Π ):
2 ( 1 + 2 t ) − ( 3 − t ) + 2 ( − 1 + 2 t ) = 5 2(1 + 2t) - (3 - t) + 2(-1 + 2t) = 5 2 ( 1 + 2 t ) − ( 3 − t ) + 2 ( − 1 + 2 t ) = 5 2 + 4 t − 3 + t − 2 + 4 t = 5 2 + 4t - 3 + t - 2 + 4t = 5 2 + 4 t − 3 + t − 2 + 4 t = 5 9 t − 3 = 5 ⟹ 9 t = 8 ⟹ t = 8 9 9t - 3 = 5 \implies 9t = 8 \implies t = \frac{8}{9} 9 t − 3 = 5 ⟹ 9 t = 8 ⟹ t = 9 8 Foot of perpendicular:
M = ( 1 + 16 9 3 − 8 9 − 1 + 16 9 ) = ( 25 9 19 9 7 9 ) M = \begin{pmatrix} 1 + \frac{16}{9} \\ 3 - \frac{8}{9} \\ -1 + \frac{16}{9} \end{pmatrix} = \begin{pmatrix} \frac{25}{9} \\ \frac{19}{9} \\ \frac{7}{9} \end{pmatrix} M = 1 + 9 16 3 − 9 8 − 1 + 9 16 = 9 25 9 19 9 7 The reflection P ′ P' P ′ is such that M M M is the midpoint of P P ′ PP' P P ′ :
M = P + P ′ 2 ⟹ P ′ = 2 M − P = 2 ( 25 9 19 9 7 9 ) − ( 1 3 − 1 ) = ( 41 9 11 9 23 9 ) M = \frac{P + P'}{2} \implies P' = 2M - P = 2\begin{pmatrix} \frac{25}{9} \\ \frac{19}{9} \\ \frac{7}{9} \end{pmatrix} - \begin{pmatrix} 1 \\ 3 \\ -1 \end{pmatrix} = \begin{pmatrix} \frac{41}{9} \\ \frac{11}{9} \\ \frac{23}{9} \end{pmatrix} M = 2 P + P ′ ⟹ P ′ = 2 M − P = 2 9 25 9 19 9 7 − 1 3 − 1 = 9 41 9 11 9 23 (b) The line P P ′ PP' P P ′ passes through P ( 1 , 3 , − 1 ) P(1, 3, -1) P ( 1 , 3 , − 1 ) and P ′ ( 41 9 , 11 9 , 23 9 ) P'\!\left(\frac{41}{9}, \frac{11}{9}, \frac{23}{9}\right) P ′ ( 9 41 , 9 11 , 9 23 ) :
Direction: ( 41 9 − 1 11 9 − 3 23 9 + 1 ) = ( 32 9 − 16 9 32 9 ) = 16 9 ( 2 − 1 2 ) \begin{pmatrix} \frac{41}{9} - 1 \\ \frac{11}{9} - 3 \\ \frac{23}{9} + 1 \end{pmatrix} = \begin{pmatrix} \frac{32}{9} \\ -\frac{16}{9} \\ \frac{32}{9} \end{pmatrix} = \frac{16}{9}\begin{pmatrix} 2 \\ -1 \\ 2 \end{pmatrix} 9 41 − 1 9 11 − 3 9 23 + 1 = 9 32 − 9 16 9 32 = 9 16 2 − 1 2
This is parallel to n = ( 2 − 1 2 ) \mathbf{n} = \begin{pmatrix} 2 \\ -1 \\ 2 \end{pmatrix} n = 2 − 1 2 Confirming P P ′ PP' P P ′ is perpendicular to Π \Pi Π .
Verify midpoint: 1 2 [ ( 1 3 − 1 ) + ( 41 9 11 9 23 9 ) ] = ( 25 9 19 9 7 9 ) \frac{1}{2}\!\left[\begin{pmatrix} 1 \\ 3 \\ -1 \end{pmatrix} + \begin{pmatrix} \frac{41}{9} \\ \frac{11}{9} \\ \frac{23}{9} \end{pmatrix}\right] = \begin{pmatrix} \frac{25}{9} \\ \frac{19}{9} \\ \frac{7}{9} \end{pmatrix} 2 1 1 3 − 1 + 9 41 9 11 9 23 = 9 25 9 19 9 7 .
Check on Π \Pi Π : 2 ( 25 9 ) − 19 9 + 2 ( 7 9 ) = 50 − 19 + 14 9 = 45 9 = 5 2\!\left(\frac{25}{9}\right) - \frac{19}{9} + 2\!\left(\frac{7}{9}\right) = \frac{50 - 19 + 14}{9} = \frac{45}{9} = 5 2 ( 9 25 ) − 9 19 + 2 ( 9 7 ) = 9 50 − 19 + 14 = 9 45 = 5 . Confirmed.
Confusing scalar product with vector product: Scalar product (dot product) gives a scalar. Vector product (cross product) gives a vector. They measure different things.
Forgetting that vectors must have the same dimension to add: You can’t add a 2D vector to a 3D vector directly. Ensure all vectors in an operation have the same number of components.
Mixing up direction cosines with components: Direction cosines are cosines of the angles between the vector and each axis. Components are the actual values along each axis. They’re related but not the same.