Maths - 2 Dimentional Vector Geometry


This page is about how vectors can represent objects in two dimensions and some useful concepts for analysing 2D geometry.

This page assumes an understanding of coordinate systems described here, you may also want to review angles .

Points and Lines from the Origin

We can use a 2 dimensional vector to represent a displacement from the origin and therefore specify a given point by showing its displacement from the origin. For instance, the point shown below is 5 up and 9 right, which can be represented by the vector (9,5). By convention the x coordinate is shown first, then the y coordinate.

vector in 2 dimentions


In two dimensions angles are scalar quantities.

angle between 2D vectors

If we have two 2D vectors (V1 and V2) then we could work out the angle between them, at the origin, by using:

angle = acos(v1•v2)


angle = atan2(v2.y,v2.x) - atan2(v1.y,v1.x)

depending on whether we want to make the angle negative if V1 and V2 are swapped over. This is more fully explained on this page.

The first version uses the vector dot product '•' which generates a scalar from two vectors as explained here. The second version uses the x and y components of the vectors.

If we want to work out an angle at a point other than the origin, then we can translate the point to the origin by subtracting the displacement from all the vectors.


In two dimensions areas are scalar quantities. An area can be represented by one number, this does not say anything about the shape of the two dimensional object just the amount of 'surface' it contains.

angle between vectors in 2 dimentions

Any two dimensional closed shape encloses an area, this might be a simple shape like a rectangle or a circle or it could be a very complex shape. In any case its area is a single scalar number.

As an example let us take the area enclosed by two vectors as shown in yellow in the diagram above, this area is given by:

area = V1x * V2.y - V1y * V2.x

As can be shown by the following construction (Thank you very much to jeandavid54 for telling me about this construction)

angle between vectors in 2 dimentions area between vectors

We can see that the area
= V1x * V2.y - V1y * V2.x
is equal to the green area in the diagram above.

If we move the brown cutout up, the green area remains the same.
area between vectors area between vectors
If we cutout the green areas which are outside the boundary of the two vectors, in the way shown above, then we can move them inside.

Now the green are which we know is equal to:
V1x * V2.y - V1y * V2.x
fits exactly in the area bounded by the two vectors.

Where next

These topics can be extended to three dimensions as discussed here.

To generalise further we can get more insight by looking at these same topics in terms of Clifford Algebra and Geometric Algebra as discussed here.

metadata block
see also:


Correspondence about this page

Book Shop - Further reading.

Where I can, I have put links to Amazon for books that are relevant to the subject, click on the appropriate country flag to get more details of the book or to buy it from them.

cover Feynman lectures on Physics 3 volume set.



Terminology and Notation

Specific to this page here:


This site may have errors. Don't use for critical systems.

Copyright (c) 1998-2017 Martin John Baker - All rights reserved - privacy policy.