In simple terms
A friendly intro before the formal notes — no formulas yet.
Vectors: Direction and Magnitude
Vectors are quantities with both size and direction, like a displacement from one point to another. We can combine them and analyse their geometric relationships using specific algebraic rules.
Imagine giving directions. 'Walk 3 blocks east and 4 blocks north' is a vector. It's not just the total distance you walk, but the specific direction that gets you to your destination. Combining two sets of directions is like adding vectors.
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Write vectors in component form a = ai + aj or column notation.
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Add component-wise: (a₁+b₁)i + (a₂+b₂)j.
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Resultant magnitude |R| = √(Rx² + Ry²); direction from tan θ = Ry/Rx.
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Dot product a·b = |a||b|cos θ — use for angles and projections (9709 3.7).
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Key formulas
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Tap a symbol — great for exam definitions
Tap a symbol — great for exam definitions
Tap a symbol — great for exam definitions
Tap a symbol — great for exam definitions
Tap a symbol — great for exam definitions
Full topic notes
Formal explanation with the rigour you need for the exam.
Vector Representation and Magnitude
In 3D space, a vector can be written in component form using the standard unit vectors , , and , which represent movement along the x, y, and z axes respectively. For example, the vector can also be written as a column vector. A position vector is a special type of vector that starts at the origin (0, 0, 0) and ends at a specific point in space.
The magnitude (or modulus) of a vector is its length. It's calculated using Pythagoras' theorem extended to three dimensions.
For a vector , its magnitude is .
The Scalar (Dot) Product
The scalar product is one way to 'multiply' two vectors. The result is a scalar (a number), not another vector, which is why it's called the scalar product. It has two definitions which we can equate to solve problems, most commonly to find the angle between two vectors.
Component form: For and , the scalar product is .
Geometric form: , where is the angle between the vectors when placed tail-to-tail.
Equating the two forms gives the formula for the angle between two vectors: .
If two vectors and are perpendicular (orthogonal), then , so . This means .
The scalar product of a vector with itself gives the square of its magnitude: .
Vector Equation of a Line
A straight line in 3D space can be uniquely defined if we know one point on the line and the direction in which the line travels. The vector equation of a line combines this information. The equation describes the position vector of any point on the line. It starts at a known point with position vector and moves along the direction vector by some scalar multiple .
\nWhere:\n is the position vector of a general point on the line.\n is the position vector of a specific, known point on the line.\n is a direction vector parallel to the line.\n is a scalar parameter.
Worked examples
See the formulas applied — reveal one step at a time, like the exam.
The points A, B and C have position vectors , and respectively. Find the angle ABC.
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Find the vectors and .
A line passes through the points A(1, 5, -2) and B(4, -1, 4). (i) Find a vector equation for the line . (ii) The point C has coordinates (p, 9, -6). Given that C lies on the line , find the value of p.
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Choose a point on the line. We can use point A, so .
How it all connects
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Glossary
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Quick check
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Revision flashcards
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What is a position vector?
A vector from the origin O to a point P, denoted or simply . It defines the coordinates of point P.
Key takeaways
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Equating the two forms gives the formula for the angle between two vectors: .
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If two vectors and are perpendicular (orthogonal), then , so . This means .
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The scalar product of a vector with itself gives the square of its magnitude: .
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Practice Questions
Practice Questions
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