Introduction to Column Vectors (Edexcel IGCSE Maths B): Revision Note

Exam code: 4MB1

Basic vectors

What are column vectors?

  • A column vector can be used to describe how to get from one point to another point

    • This is also called a translation vector

    • (63) means 6 units to the right and 3 units up

Column vector

How do I add and subtract column vectors?

  • Adding and subtracting vectors is done by looking at the top numbers and bottom numbers separately

  • To add column vectors

    • Add the top numbers together

    • Add the bottom numbers together

      • (52)+(31)=(5+32+(1))=(81)

  • To subtract column vectors

    • Subtract the second top number from the first

    • Subtract the second bottom number from the first

      • (52)(31)=(532(1))=(23)

How do I multiply a vector by a scalar?

  • A scalar is a number not a vector

    • It does not have a direction

  • To multiply a column vector by a scalar

    • Multiply the top number by the scalar

    • Multiply the bottom number by the scalar

      • 3(21)=(3×23×(1))=(63)

How do I write an expression as a single column vector?

  • You need to follow the order of operations

    • 2(52)+5(31)

  • STEP 1
    Multiply each vector by the scalar in front of it

    • (2×52×2)+(5×35×(1))=(104)+(155)

  • STEP 2
    Add or subtract the new column vectors

    • (10+154+(5))=(251)

Worked Example

a=(p3) and b=(21).

Given that 2a+3b=(4q), find the value of p and the value of q.

Answer:

Write the left-side side as one vector
Multiply each vector by the scalar in front of it

(2p6)+(63)=(4q)

Add the vectors together

(2p69)=(4q)

The top components are equal
Form and solve an equation

2p6=42p=10p=5

The bottom components are equal

9=q

p=5 and q=9

How do I multiply a vector by a matrix?

  • Note that a column vector may also be thought of as a 2×1 matrix

    • I.e. a matrix with 2 rows and 1 column

  • As such, it may be multiplied by a 2×2 matrix

    • (abcd)(xy)=(ax+bycx+dy)

  • See the revision notes on multiplying matrices and transformations with matrices for more details on this

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