Rotations on the xy-plane
Rotations of vectors are accomplished by means of matrices. The unit basis vectors
and can be written in column vector form as
and
Now consider a specific rotation:
counterclockwise.
We wish to rotate the unit basis vectors clockwise by using a matrix. In particular, we wish to rotate the unit basis vector until it becomes the unit vector
So our matrix equation looks like this
Solving this we find that
We also wish to rotate the unit basis vector so that it becomes the new unit vector
Solving the equation
we find that
Thus, our transformation matrix
must be
Now consider any vector
To transform this general vector we can also use the same
because
so
The transformation matrix has a particular form based on the cosines of the angles between the new axes and the old axes. Specifically,
the cosine of the angle between and
the cosine of the angle between and
the cosine of the angle between and
the cosine of the angle between and
For this reason, the matrix
is often called the cosine matrix.
However, if you look again at the picture, you will see that, for example, the cosine of the angle between
and is the same as the negative of the sine of the rotation angle. So, what this means is that we can get a simpler form of the 2-dimensional transformation matrix. If we wish to rotate our basis vectors by an angle of
then we can use the transformation matrix
For example, to rotate our basis vectors
we would use the rotation matrix
It is important that a rotation matrix does not stretch or shrink the points; it only rotates them. We are guaranteed that this will happen whenever
and you can see that this will always be the case when we use
as defined above.
Example: Rotate the quadratic an angle of counterclockwise.
We wish to transform the position vectors in the xy-plane into new position vectors in the
plane. So we need a transformation matrix such that
Then
So our transformation equations are
and
However, to sub into the equation of the parabola, we need to find
and in terms of and . In other words, we need
We can easily calculate that
So our appropriate transformation equations become
and
So we substitute our transformation equations into the parabola equation to get
This equation is graphed at right.
STEP 2013, Math I, #5: The point P has coordinates which satisfy
(i) Sketch the locus of P in the case
, giving the points of intersection with the coordinate axes.
(ii) By factorising , or otherwise, sketch the locus of P in the case , giving the points of intersection with the coordinate axes.
(iii) In the case
, let Q be the point obtained by rotating P clockwise about the origin by an angle , so that the coordinates of Q are given by
,
Show that, for
, the locus of Q is .
Hence, or otherwise, sketch the locus of P in the case
, giving the equation of the line of symmetry.
Skill Set
Rotations
No. 1
Rotations in 3-space
For rotations around the coordinate axes in 3-space we can adapt our 2-dimensional rotation matrix. Rotations in space have to specify a rotation axis. We will define rotations about the coordinate axes.
Imagine yourself looking down at the xy-plane from the viewpoint of the positive z-axis. Then a rotation counterclockwise around this axis is equivalent to our previous counterclockwise rotation in the xy-plane. We can use our previous matrix only expanded to accommodate three components.
Imagine now you are looking at the yz-plane from the viewpoint of the positive x-axis. We can modify our previous matrix to rotating around the x-axis, thereby leaving the x-coordinates of all points/vectors unchanged.
Finally, if you are looking at the zx-plane from the viewpoint of the positive y-axis and you wish to rotate around the y-axis an angle of
you use
You can also define rotations about other axes. The trick is to figure out, as we did in our first example above, what happens to the unit basis vectors
, and
It's also important to make sure that you are doing a pure rotation without any distortion of size. This means, your new axes should be mutually orthogonal and of unit length.
For example, suppose we were to rotate the coordinate system in such a way as to have new basis vectors
and parallel to the vectors
, .
These are drawn at left.
You can verify that
so they are orthogonal.
We now need a third vector that is orthogonal to both of these. We use the cross product:
Which is the same as
So we will could use either
or
depending upon how we want to orient our axes. I will use
These three mutually orthogonal vectors are shown at left.
Now all we need to do is to make our vectors into unit vectors and we have our new basis vectors
, and
That means that the transformation matrix
will rotate any vector in the same way it rotated the original unit basis vectors. You can verify that this is a valid transformation matrix by checking its determinant. Expansion along the third column produces
STEP 2010, Math III, #6: The points
, and lie on a sphere of unit radius centred at the origin, , which is fixed. Initially, is at , is at
and is at .
(i) The sphere is then rotated about the z-axis, so that the line
turns directly towards the positive y-axis through an angle . The position of after this rotation is denoted by
. Write down the coordinates of .
(ii) The sphere is now rotated about the line in the x-y-plane perpendicular to , so that the line turns directly towards the positive z-axis through and angle . the position of
after this rotation is denoted by . Find the coordinates of . Find also the coordinates of the points and , which are the positions of and
after the two rotations.
(iii) The sphere is now rotated for a third time, so that P returns from to its original position . During the rotation , P remains in the plane containing , , and
. Show that the angle of this rotation , , satisfies
and find a vector in the direction of the axis about which this rotation takes place.