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VectorsEdexcel GCSE Maths: Revision notes

Section 1

What is vector notation and how do we represent vectors?

A vector is a quantity that has both magnitude (size) and direction. Vectors are different from scalars, which only have magnitude.

Column vector notation is the standard form used in GCSE maths:

  • A vector can be written as a column with two components: (xy)\begin{pmatrix} x \\ y \end{pmatrix}
  • The top number represents horizontal movement (right is positive, left is negative)
  • The bottom number represents vertical movement (up is positive, down is negative)

Alternative notations you may encounter:

  • Bold letters: a or b
  • Underlined letters: a or b
  • Arrow notation: AB→\overrightarrow{AB} (vector from point A to point B)

Key points:

  • The vector (32)\begin{pmatrix} 3 \\ 2 \end{pmatrix} means move 3 units right and 2 units up
  • The vector (−25)\begin{pmatrix} -2 \\ 5 \end{pmatrix} means move 2 units left and 5 units up
  • Equal vectors have the same magnitude and direction, regardless of starting position
Key termsvectorscalarcolumn vector notationmagnitudedirection
Think of it like this

Think of a vector like giving someone directions: 'Walk 3 steps forward and 2 steps left' is a vector. Just saying '3 steps' (a scalar) doesn't tell them which way to go.

Exam tip

Always use column vector notation in your answers unless specifically asked otherwise. Examiners expect (xy)\begin{pmatrix} x \\ y \end{pmatrix} format for GCSE Edexcel.

Section 2

How do we add and subtract vectors?

Adding vectors means combining their effects. When you add vectors, you perform the operation component-by-component:

(ab)+(cd)=(a+cb+d)\begin{pmatrix} a \\ b \end{pmatrix} + \begin{pmatrix} c \\ d \end{pmatrix} = \begin{pmatrix} a+c \\ b+d \end{pmatrix}

Subtracting vectors works the same way:

(ab)−(cd)=(a−cb−d)\begin{pmatrix} a \\ b \end{pmatrix} - \begin{pmatrix} c \\ d \end{pmatrix} = \begin{pmatrix} a-c \\ b-d \end{pmatrix}

Step-by-step process for vector addition:

  1. Add the x-components (top numbers) together
  2. Add the y-components (bottom numbers) together
  3. Write the result as a new column vector

Step-by-step process for vector subtraction:

  1. Subtract the x-components
  2. Subtract the y-components
  3. Write the result as a new column vector

Important property: Vector addition is commutative (order doesn't matter): a+b=b+a\mathbf{a} + \mathbf{b} = \mathbf{b} + \mathbf{a}

Key termsvector additionvector subtractioncommutative
Example

Example: (52)+(−23)=(5+(−2)2+3)=(35)\begin{pmatrix} 5 \\ 2 \end{pmatrix} + \begin{pmatrix} -2 \\ 3 \end{pmatrix} = \begin{pmatrix} 5+(-2) \\ 2+3 \end{pmatrix} = \begin{pmatrix} 3 \\ 5 \end{pmatrix}. Or: (64)−(21)=(43)\begin{pmatrix} 6 \\ 4 \end{pmatrix} - \begin{pmatrix} 2 \\ 1 \end{pmatrix} = \begin{pmatrix} 4 \\ 3 \end{pmatrix}

Common mistake

Students often forget to subtract both components when subtracting vectors. Remember: subtract the x-component AND the y-component separately.

Section 3

How do we multiply vectors by a scalar?

Scalar multiplication means multiplying a vector by an ordinary number (a scalar). This changes the magnitude of the vector but keeps the direction the same (unless the scalar is negative).

Formula for scalar multiplication: k(ab)=(kakb)k \begin{pmatrix} a \\ b \end{pmatrix} = \begin{pmatrix} ka \\ kb \end{pmatrix}

where kk is any scalar (positive or negative number).

What happens:

  • If k>1k > 1: the vector becomes longer
  • If 0<k<10 < k < 1: the vector becomes shorter
  • If k=0k = 0: the vector becomes the zero vector (00)\begin{pmatrix} 0 \\ 0 \end{pmatrix}
  • If k<0k < 0: the vector reverses direction and changes magnitude

Step-by-step process:

  1. Multiply the scalar by the x-component
  2. Multiply the scalar by the y-component
  3. Write the result as a new column vector

Practical use: Parallel vectors can be expressed as scalar multiples of each other. If b=ka\mathbf{b} = k\mathbf{a} for some scalar kk, then the vectors are parallel.

Key termsscalar multiplicationscalarzero vectorparallel vectors
Example

Example: 3(2−1)=(6−3)3\begin{pmatrix} 2 \\ -1 \end{pmatrix} = \begin{pmatrix} 6 \\ -3 \end{pmatrix}. Or: −2(43)=(−8−6)-2\begin{pmatrix} 4 \\ 3 \end{pmatrix} = \begin{pmatrix} -8 \\ -6 \end{pmatrix} (notice the direction reverses because the scalar is negative).

Exam tip

When proving vectors are parallel, show that one vector equals a scalar multiple of the other. For example, if b=2a\mathbf{b} = 2\mathbf{a}, then they are parallel.

Section 4

How do we find the magnitude of a vector?

The magnitude of a vector is its length. For a vector v=(ab)\mathbf{v} = \begin{pmatrix} a \\ b \end{pmatrix}, we use the Pythagoras theorem to find the magnitude.

Formula for magnitude: ∣v∣=∣(ab)∣=a2+b2|\mathbf{v}| = |\begin{pmatrix} a \\ b \end{pmatrix}| = \sqrt{a^2 + b^2}

The notation ∣v∣|\mathbf{v}| or ∥v∥\|\mathbf{v}\| both mean 'the magnitude of vector v'.

Step-by-step process:

  1. Square the x-component
  2. Square the y-component
  3. Add the squares together
  4. Take the square root of the sum

Key point: The magnitude is always positive (or zero for the zero vector), even if the vector components are negative.

Example calculations:

  • The magnitude of (34)\begin{pmatrix} 3 \\ 4 \end{pmatrix} is 32+42=9+16=25=5\sqrt{3^2 + 4^2} = \sqrt{9 + 16} = \sqrt{25} = 5
  • The magnitude of (−512)\begin{pmatrix} -5 \\ 12 \end{pmatrix} is (−5)2+122=25+144=169=13\sqrt{(-5)^2 + 12^2} = \sqrt{25 + 144} = \sqrt{169} = 13
Key termsmagnitudelength of a vectorPythagoras theorem
Exam tip

Always show your working when calculating magnitude. Write out the formula a2+b2\sqrt{a^2 + b^2} and substitute your values clearly. Leave your answer in exact form (as a square root) unless asked to round.

Common mistake

Don't forget to square both components before adding them. A common error is calculating a+b\sqrt{a + b} instead of a2+b2\sqrt{a^2 + b^2}.

Section 5

How do we use position vectors and vectors to describe paths? (Higher Tier)

A position vector describes the location of a point relative to a fixed origin. If the origin is at O and point A is at position (35)\begin{pmatrix} 3 \\ 5 \end{pmatrix}, then the position vector of A is OA→=(35)\overrightarrow{OA} = \begin{pmatrix} 3 \\ 5 \end{pmatrix}.

Finding the vector between two points: To find the vector from point A to point B, subtract the position vector of A from the position vector of B:

AB→=OB→−OA→\overrightarrow{AB} = \overrightarrow{OB} - \overrightarrow{OA}

Alternatively, if A has coordinates (x1,y1)(x_1, y_1) and B has coordinates (x2,y2)(x_2, y_2):

AB→=(x2−x1y2−y1)\overrightarrow{AB} = \begin{pmatrix} x_2 - x_1 \\ y_2 - y_1 \end{pmatrix}

Describing paths using vectors:

  • A path from O to A to B can be written as: OA→+AB→=OB→\overrightarrow{OA} + \overrightarrow{AB} = \overrightarrow{OB}
  • This is the triangle law of vector addition: the sum of two sides of a triangle equals the third side
  • You can break any journey into vector segments and add them together

Application: To find the position of a point C such that AC→=kAB→\overrightarrow{AC} = k\overrightarrow{AB} (a point on the line from A to B), use: OC→=OA→+kAB→\overrightarrow{OC} = \overrightarrow{OA} + k\overrightarrow{AB}

Key termsposition vectorvector between pointstriangle lawpath vectors
Example

If A is at (2, 3) and B is at (5, 7), then AB→=(5−27−3)=(34)\overrightarrow{AB} = \begin{pmatrix} 5-2 \\ 7-3 \end{pmatrix} = \begin{pmatrix} 3 \\ 4 \end{pmatrix}. If point C lies on AB such that AC→=12AB→\overrightarrow{AC} = \frac{1}{2}\overrightarrow{AB}, then AC→=(1.52)\overrightarrow{AC} = \begin{pmatrix} 1.5 \\ 2 \end{pmatrix}, so C is at (3.5, 5).

Exam tip

In proof questions, use position vectors to show collinearity (points on the same line). If AB→=kBC→\overrightarrow{AB} = k\overrightarrow{BC} for some scalar kk, the points are collinear.

Section 6

How do we use vectors to describe and prove geometric properties? (Higher Tier)

Vectors are powerful tools for proving geometric properties without coordinates. Key techniques include:

Proving lines are parallel: Two lines are parallel if their direction vectors are scalar multiples of each other. If AB→=kCD→\overrightarrow{AB} = k\overrightarrow{CD} for some scalar kk, then AB is parallel to CD.

Proving points are collinear: Three points A, B, C are collinear (on the same line) if one vector can be expressed as a scalar multiple of another. For example, if AB→=mBC→\overrightarrow{AB} = m\overrightarrow{BC}, the points are collinear.

Finding the midpoint of a line segment: The position vector of the midpoint M of AB is: OM→=12(OA→+OB→)\overrightarrow{OM} = \frac{1}{2}(\overrightarrow{OA} + \overrightarrow{OB})

Proving equal lengths: Two line segments have equal length if their magnitude vectors are equal: ∣AB→∣=∣CD→∣|\overrightarrow{AB}| = |\overrightarrow{CD}|

General proof strategy:

  1. Express all required vectors in terms of given vectors
  2. Use vector algebra to manipulate expressions
  3. Show the required relationship (e.g., one vector is a scalar multiple of another)
  4. State the geometric conclusion clearly

Common proof structures:

  • To prove ABCD is a parallelogram: show AB→=DC→\overrightarrow{AB} = \overrightarrow{DC} and AD→=BC→\overrightarrow{AD} = \overrightarrow{BC}
  • To prove a quadrilateral is a rhombus: show all four sides have equal magnitude
  • To prove perpendicularity (Higher Tier concepts): vectors are perpendicular if their dot product equals zero
Key termscollinear pointsparallel linesmidpointgeometric proofscalar multiple
Example

To prove PQRS is a parallelogram using vectors: Let OP→=p\overrightarrow{OP} = \mathbf{p}, OQ→=q\overrightarrow{OQ} = \mathbf{q}. If PQ→=SR→\overrightarrow{PQ} = \overrightarrow{SR}, we can show PQ→=q−p\overrightarrow{PQ} = \mathbf{q} - \mathbf{p} equals SR→\overrightarrow{SR}, proving opposite sides are equal and parallel.

Exam tip

In exam proofs, show every step of your vector algebra clearly. State what you've proved at the end (e.g., 'Since AB→=2CD→\overrightarrow{AB} = 2\overrightarrow{CD}, AB is parallel to CD'). Examiners need to see both the mathematics and the geometric conclusion.

Must Know

  • Column vector notation: Vectors are written as (xy)\begin{pmatrix} x \\ y \end{pmatrix} where x is horizontal movement and y is vertical movement
  • Vector operations: Add and subtract by combining components separately; multiply by a scalar by multiplying both components by that number
  • Magnitude formula: For vector (ab)\begin{pmatrix} a \\ b \end{pmatrix}, magnitude is a2+b2\sqrt{a^2 + b^2} (use Pythagoras' theorem)
  • Parallel vectors: Expressed as scalar multiples of each other; if b=ka\mathbf{b} = k\mathbf{a}, they are parallel
  • Position vectors: Describe points relative to origin O; vector from A to B is AB→=OB→−OA→\overrightarrow{AB} = \overrightarrow{OB} - \overrightarrow{OA}
  • Geometric proofs (HT): Use vector algebra to prove collinearity, parallelism, equal lengths, and properties of shapes; show that direction vectors are scalar multiples to prove parallel lines, and show scalar multiple relationships to prove collinear points

That's the notes covered.

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