Vectors | IB - Wyatt's Notes
Vector Line
Section titled “Vector Line”Parametric Form
Section titled “Parametric Form”A vector line () in parametric form takes a scalar parameter () to produce each point on The line. The line () is a sum of a point on a line ( or ) and a Direction vector () scaled by the parameter :
\begin`\{aligned}` \bm{r}(\gamma) = \bm{r_0} + \gamma\bm{b} \end`\{aligned}`Cartesian Form
Section titled “Cartesian Form”Vectors in cartesian form define a vector by the definition of each coordinate of the unit vector:
\begin`\{aligned}` \frac{x-x_0}{l} = \frac{y-y_0}{m} = \frac{z-z_0}{n} \end`\{aligned}`Conversion Between Parametric Form and Cartesian Form
Section titled “Conversion Between Parametric Form and Cartesian Form”Vector Plane
Section titled “Vector Plane”Parametric Form
Section titled “Parametric Form”A vector plane () given in parametric form is defined with the sum of a point ( or ) on the plane and two direction vector ( and ) scaled by scalar parameter ( and ):
\begin`\{aligned}` \bm{r}(\gamma, \mu) = \bm{r_0} + \gamma \bm{b} + \mu \bm{c} \end`\{aligned}`Point-normal Form
Section titled “Point-normal Form”A vector plane () defined in point-normal form is defined by the dot product between the Normal () and the direction vectors ( or ):
\begin`\{aligned}` \left(\bm{r}-\bm{r_0}\right) \cdot \hat{n} = |\bm{r}-\bm{r_0}||\hat{n}|\sin \frac{\pi}{2} = 0\\ \bm{r} \cdot \hat{n} = \bm{r_0} \cdot \hat{n} \end`\{aligned}`Cartesian Form
Section titled “Cartesian Form”A vector plane () defined in cartesian form is extended from the point-normal form by Expressing normal vector as its individual axis ():
\begin`\{aligned}` \hat{n} = \begin`\{pmatrix}` a \\ b \\ c \end`\{pmatrix}`\quad \bm{r} = \begin`\{pmatrix}` x \\ y \\ z \end`\{pmatrix}`\quad \bm{r_0} = \begin`\{pmatrix}` x_0 \\ y_0 \\ z_0 \end`\{pmatrix}`\\ a(x-x_0) + b(y-y_0) + c(z-z_0) = 0\\ ax + by + cz = ax_0 + by_0 + cz_0 \end`\{aligned}`Since produce a constant, the formula booklet uses a single constant to Represent it:
\begin`\{aligned}` ax + by + cz = d \end`\{aligned}`Vector Fundamentals
Section titled “Vector Fundamentals”Vector Representation
Section titled “Vector Representation”A vector in 3D space is represented as a column vector:
\bm{v} = \begin`\{pmatrix}` v_x \\ v_y \\ v_z \end`\{pmatrix}`Where , v_y$$v_z are the components along the x$$y And axes respectively.
Magnitude (Modulus)
Section titled “Magnitude (Modulus)”The magnitude of a vector is its length:
Unit Vector
Section titled “Unit Vector”A unit vector has magnitude . The unit vector in the direction of is:
Position Vector
Section titled “Position Vector”A position vector describes the position of a point relative to the origin :
\overrightarrow`\{OP}` = \begin`\{pmatrix}` x \\ y \\ z \end`\{pmatrix}`Vector Addition and Subtraction
Section titled “Vector Addition and Subtraction”Scalar Multiplication
Section titled “Scalar Multiplication”Dot Product (Scalar Product)
Section titled “Dot Product (Scalar Product)”Definition
Section titled “Definition”The dot product of two vectors produces a scalar:
Where is the angle between the vectors ().
Component Form
Section titled “Component Form”Finding the Angle Between Vectors
Section titled “Finding the Angle Between Vectors”Properties of the Dot Product
Section titled “Properties of the Dot Product”- if and only if (vectors are perpendicular)
- (commutative)
- (distributive)
Worked Example 1: Dot Product
Section titled “Worked Example 1: Dot Product”Problem: Find the angle between and .
Solution:
Cross Product (Vector Product)
Section titled “Cross Product (Vector Product)”Definition
Section titled “Definition”The cross product of two vectors produces a vector perpendicular to both:
The direction is given by the right-hand rule.
Component Form
Section titled “Component Form”This can be written as a determinant:
\bm{a} \times \bm{b} = \begin`\{vmatrix}` \hat{i} & \hat{j} & \hat{k}\\ a_x & a_y & a_z\\ b_x & b_y & b_z \end`\{vmatrix}`Properties of the Cross Product
Section titled “Properties of the Cross Product”- (anti-commutative)
- if and only if is parallel to
- gives the area of the parallelogram formed by and
Geometric Interpretations
Section titled “Geometric Interpretations”- Area of a parallelogram:
- Area of a triangle:
- Volume of a parallelepiped: (scalar triple product)
Worked Example 2: Cross Product
Section titled “Worked Example 2: Cross Product”Problem: Find where And .
Solution:
\bm{a} \times \bm{b} = \begin`\{pmatrix}` (2)(6) - (3)(5) \\ (3)(4) - (1)(6) \\ (1)(5) - (2)(4) \end`\{pmatrix}` = \begin`\{pmatrix}` 12 - 15 \\ 12 - 6 \\ 5 - 8 \end`\{pmatrix}` = \begin`\{pmatrix}` -3 \\ 6 \\ -3 \end`\{pmatrix}`Intersections
Section titled “Intersections”Line-Line Intersection
Section titled “Line-Line Intersection”To find the intersection of two lines and :
- Set the parametric equations equal and solve for and
- If a solution exists, substitute back to find the intersection point
- If the direction vectors are parallel (), the lines are either parallel or coincident
Line-Plane Intersection
Section titled “Line-Plane Intersection”To find where line intersects plane :
- Substitute into the plane equation: (\bm{a} + t\bm{b}) \cdot \hat{n} = d
- Solve for : t = \frac{d - \bm{a} \cdot \hat{n}}{\bm{b} \cdot \hat{n}}
- If The line is parallel to the plane (no intersection or lies in the plane)
Worked Example 3: Line-Plane Intersection
Section titled “Worked Example 3: Line-Plane Intersection”Problem: Find the intersection of line With plane .
Solution:
Normal vector \hat{n} = \begin{pmatrix} 2 \\ -1 \\ 1 \end{pmatrix}$$d = 5.
Point on line: Direction: .
\bm{r} = \begin`\{pmatrix}` 1 \\ 0 \\ 2 \end`\{pmatrix}` + \frac{1}{2}\begin`\{pmatrix}` 2 \\ 1 \\ -1 \end`\{pmatrix}` = \begin`\{pmatrix}` 2 \\ 0.5 \\ 1.5 \end`\{pmatrix}`Intersection point: .
Angle Between Line and Plane
Section titled “Angle Between Line and Plane”The angle between a line with direction and a plane with normal :
Angle Between Two Planes
Section titled “Angle Between Two Planes”The angle between two planes with normals and :
Distance from Point to Plane
Section titled “Distance from Point to Plane”The perpendicular distance from point with position vector to plane :
If is already a unit vector:
Distance Between Two Skew Lines
Section titled “Distance Between Two Skew Lines”The shortest distance between two skew lines and :
Worked Example 4: Distance from Point to Plane
Section titled “Worked Example 4: Distance from Point to Plane”Problem: Find the distance from to the plane .
Solution:
Normal vector .
Applications to Geometry
Section titled “Applications to Geometry”Proving Three Points Are Collinear
Section titled “Proving Three Points Are Collinear”Points A$$B$$C are collinear if and only if for Some scalar .
Finding the Foot of a Perpendicular
Section titled “Finding the Foot of a Perpendicular”To find the foot of the perpendicular from point to line :
The foot satisfies:
\overrightarrow`\{PF}` \cdot \bm{b} = 0Substitute and solve for :
Worked Example 5: Finding the Equation of a Plane
Section titled “Worked Example 5: Finding the Equation of a Plane”Problem: Find the Cartesian equation of the plane passing through the points And .
Solution:
Find two direction vectors in the plane:
\overrightarrow`\{AB}` = \begin`\{pmatrix}` 2 \\ -2 \\ 2 \end`\{pmatrix}`\quad \overrightarrow`\{AC}` = \begin`\{pmatrix}` -1 \\ -1 \\ 4 \end`\{pmatrix}`Find the normal vector using the cross product:
\hat{n} = \overrightarrow`\{AB}` \times \overrightarrow`\{AC}` = \begin`\{pmatrix}` (-2)(4) - (2)(-1) \\ (2)(-1) - (2)(4) \\ (2)(-1) - (-2)(-1) \end`\{pmatrix}` = \begin`\{pmatrix}` -8 + 2 \\ -2 - 8 \\ -2 - 2 \end`\{pmatrix}` = \begin`\{pmatrix}` -6 \\ -10 \\ -4 \end`\{pmatrix}`Simplify by dividing by : .
Using point and :
The plane equation is: .
Verification: Check point : . Check point : .
Worked Example 6: Angle Between Two Planes
Section titled “Worked Example 6: Angle Between Two Planes”Problem: Find the acute angle between the planes and .
Solution:
Extract the normal vectors:
\hat{n}_1 = \begin`\{pmatrix}` 2 \\ -1 \\ 3 \end`\{pmatrix}`\quad \hat{n}_2 = \begin`\{pmatrix}` 1 \\ 4 \\ -1 \end`\{pmatrix}`Worked Example 7: Shortest Distance from Point to Plane
Section titled “Worked Example 7: Shortest Distance from Point to Plane”Problem: Find the shortest distance from the point to the plane .
Solution:
Normal vector .
Worked Example 8: Line of Intersection of Two Planes
Section titled “Worked Example 8: Line of Intersection of Two Planes”Problem: Find the vector equation of the line of intersection of the planes and .
Solution:
The direction vector of the line is perpendicular to both normals:
\bm{d} = \hat{n}_1 \times \hat{n}_2 = \begin`\{pmatrix}` 1 \\ 1 \\ -1 \end`\{pmatrix}` \times \begin`\{pmatrix}` 2 \\ -1 \\ 1 \end`\{pmatrix}` = \begin`\{pmatrix}` (1)(1) - (-1)(-1) \\ (-1)(2) - (1)(1) \\ (1)(-1) - (1)(2) \end`\{pmatrix}` = \begin`\{pmatrix}` 0 \\ -3 \\ -3 \end`\{pmatrix}`Simplify: .
Find a point on the line by setting and solving:
and . Adding: . Then .
A point on the line is .
The line of intersection is:
\bm{r} = \begin`\{pmatrix}` 5/3 \\ 7/3 \\ 0 \end`\{pmatrix}` + t\begin`\{pmatrix}` 0 \\ 1 \\ 1 \end`\{pmatrix}`Intuition
Section titled “Intuition”Vectors are arrows in space — they have both direction and magnitude. The dot product measures how much two arrows point in the same direction: it is maximised when they are parallel and zero when they are perpendicular. The cross product creates a new arrow perpendicular to both originals, and its magnitude equals the area of the parallelogram they span. A plane is defined by a point and a normal direction, and the dot product encodes this: every point on the plane is equidistant from the normal in a specific sense. Intersections happen when you solve simultaneous vector equations, and the distance from a point to a plane is directly how far the point deviates from the plane’s defining equation.
Common Pitfalls
Section titled “Common Pitfalls”Confusing parametric and Cartesian forms. In Cartesian form, each component is equated to a parameter expression. Forgetting to set the ratios equal is a common error.
Sign errors in the cross product. The cross product is anti-commutative: . Always double-check the order of vectors.
Forgetting the absolute value in distance formulas. The distance from a point to a plane is always non-negative: use .
Assuming a line intersects a plane. Always check that before solving. If and The line lies in the plane. If and The line is parallel to the plane.
Angle between line and plane vs angle between line and normal. The angle between a line and a plane satisfies . The angle between the line and the normal satisfies . Note that .
Assuming skew lines intersect. Two lines in 3D are generally skew (neither parallel nor intersecting). Always verify that a common solution exists for the parameters.
Problem Set
Section titled “Problem Set”Question 1
Find the angle between the vectors and .
Answer 1
. |\bm{a}| = \sqrt{1 + 9 + 4} = \sqrt{14}$$|\bm{b}| = \sqrt{16 + 1 + 1} = \sqrt{18} = 3\sqrt{2}. . .
Question 2
Find the Cartesian equation of the plane containing the points P(2, 1, 0)$$Q(1, -1, 3) And .
Answer 2
. . Simplified normal: . . Plane equation: .
Question 3
Find the point of intersection of the line With the plane .
Answer 3
Substitute into the plane equation: . . . Point: . Intersection: .
Question 4
Find the acute angle between the planes and .
Answer 4
. . . . .
Question 5
Find the shortest distance from the point to the plane .
Answer 5
\hat{n} = \begin{pmatrix} 2 \\ 1 \\ -2 \end{pmatrix}$$|\hat{n}| = \sqrt{4 + 1 + 4} = 3. . .
Question 6
Find the shortest distance between the skew lines: And .
Answer 6
. . . . .
Question 7
Find the foot of the perpendicular from the point to the line .
Answer 7
. . . . . Foot: .
Question 8
Show that the points A(1, 2, 3)$$B(3, 5, 7) And are collinear.
Answer 8
. So with . Since one vector is a scalar multiple of the other, the points are collinear.
flowchart TD
A[2_Vectors] --> B[Key Concepts]
A --> C[Core Principles]
A --> D[Practical Applications]
B --> E[Fundamental definitions]
C --> F[Design patterns]
D --> G[Real-world usage]Summary
Section titled “Summary”This topic covers the mathematical techniques and concepts related to vectors, including key theorems, methods, and problem-solving approaches.
Key concepts include:
- coordinate geometry (lines and circles)
- vectors in 2D and 3D
- transformations
- proof and geometric reasoning
- equations of curves
Regular practice with a variety of question types is essential to build fluency and confidence in applying these mathematical techniques.
Cross-References
Section titled “Cross-References”| Topic | Site | Link |
|---|---|---|
| [Vectors] | A-Level | View |
| [Vectors] | IB | View |
Worked Examples
Section titled “Worked Examples”Worked examples demonstrating the application of key concepts are covered in the detailed sub-pages linked above.