In mathematics, a rotation of axes in two dimensions is a mapping from an
-Cartesian coordinate system to an
-Cartesian coordinate system in which the origin is kept fixed and the
and
axes are obtained by rotating the
and
axes counterclockwise through an angle
. A point
has coordinates
with respect to the original system and coordinates
with respect to the new system.[1] In the new coordinate system, the point
will appear to have been rotated in the opposite direction, that is, clockwise through the angle
. A rotation of axes in more than two dimensions is defined similarly.[2][3] A rotation of axes is a linear map[4][5] and a rigid transformation.
Motivation
Coordinate systems are essential for studying the equations of curves using the methods of analytic geometry. To use the method of coordinate geometry, the axes are placed at a convenient position with respect to the curve under consideration. For example, to study the equations of ellipses and hyperbolas, the foci are usually located on one of the axes and are situated symmetrically with respect to the origin. If the curve (hyperbola, parabola, ellipse, etc.) is not situated conveniently with respect to the axes, the coordinate system should be changed to place the curve at a convenient and familiar location and orientation. The process of making this change is called a transformation of coordinates.[6]
The solutions to many problems can be simplified by rotating the coordinate axes to obtain new axes through the same origin.
Derivation
The equations defining the transformation in two dimensions, which rotates the
axes counterclockwise through an angle
into the
axes, are derived as follows.
In the
system, let the point
have polar coordinates
. Then, in the
system,
will have polar coordinates
.
Using trigonometric functions, we have
| | 1 |
| | 2 |
and using the standard trigonometric formulae for differences, we have
| | 3 |
| | 4 |
Substituting equations (1) and (2) into equations (3) and (4), we obtain[7]
| | 5 |
| | 6 |
Equations (5) and (6) can be represented in matrix form as
which is the standard matrix equation of a rotation of axes in two dimensions.[8]
The inverse transformation is[9]
| | 7 |
| | 8 |
or
Examples in two dimensions
Example 1
Find the coordinates of the point
after the axes have been rotated through the angle
, or 30°.
Solution:
The axes have been rotated counterclockwise through an angle of
and the new coordinates are
. Note that the point appears to have been rotated clockwise through
with respect to fixed axes so it now coincides with the (new)
axis.
Example 2
Find the coordinates of the point
after the axes have been rotated clockwise 90°, that is, through the angle
, or −90°.
Solution:
The axes have been rotated through an angle of
, which is in the clockwise direction and the new coordinates are
. Again, note that the point appears to have been rotated counterclockwise through
with respect to fixed axes.
Rotation of conic sections
The most general equation of the second degree has the form
( not all zero).[10] | | 9 |
Through a change of coordinates (a rotation of axes and a translation of axes), equation (9) can be put into a standard form, which is usually easier to work with. It is always possible to rotate the coordinates at a specific angle so as to eliminate the
term. Substituting equations (7) and (8) into equation (9), we obtain
| | 10 |
where






| | 11 |
If
is selected so that
we will have
and the
term in equation (10) will vanish.[11]
When a problem arises with
,
and
all different from zero, they can be eliminated by performing in succession a rotation (eliminating
) and a translation (eliminating the
and
terms).[12]
Identifying rotated conic sections
A non-degenerate conic section given by equation (9) can be identified by evaluating
. The conic section is:[13]
- an ellipse or a circle, if
;
- a parabola, if
;
- a hyperbola, if
.
Generalization to several dimensions
Suppose a rectangular
-coordinate system is rotated around its
axis counterclockwise (looking down the positive
axis) through an angle
, that is, the positive
axis is rotated immediately into the positive
axis. The
coordinate of each point is unchanged and the
and
coordinates transform as above. The old coordinates
of a point
are related to its new coordinates
by[14]
Generalizing to any finite number of dimensions, a rotation matrix
is an orthogonal matrix that differs from the identity matrix in at most four elements. These four elements are of the form
and 
for some
and some
.[15]
Example in several dimensions
Example 3
Find the coordinates of the point
after the positive w axis has been rotated through the angle
, or 15°, into the positive
axis.
Solution:
See also
Notes
- ^ Protter & Morrey (1970, p. 320)
- ^ Anton (1987, p. 231)
- ^ Burden & Faires (1993, p. 532)
- ^ Anton (1987, p. 247)
- ^ Beauregard & Fraleigh (1973, p. 266)
- ^ Protter & Morrey (1970, pp. 314–315)
- ^ Protter & Morrey (1970, pp. 320–321)
- ^ Anton (1987, p. 230)
- ^ Protter & Morrey (1970, p. 320)
- ^ Protter & Morrey (1970, p. 316)
- ^ Protter & Morrey (1970, pp. 321–322)
- ^ Protter & Morrey (1970, p. 324)
- ^ Protter & Morrey (1970, p. 326)
- ^ Anton (1987, p. 231)
- ^ Burden & Faires (1993, p. 532)
References
- Anton, Howard (1987), Elementary Linear Algebra (5th ed.), New York: Wiley, ISBN 0-471-84819-0
- Beauregard, Raymond A.; Fraleigh, John B. (1973), A First Course In Linear Algebra: With Optional Introduction to Groups, Rings, and Fields, Boston: Houghton Mifflin Co., ISBN 0-395-14017-X
- Burden, Richard L.; Faires, J. Douglas (1993), Numerical Analysis (5th ed.), Boston: Prindle, Weber and Schmidt, ISBN 0-534-93219-3
- Protter, Murray H.; Morrey, Charles B. Jr. (1970), College Calculus with Analytic Geometry (2nd ed.), Reading: Addison-Wesley, LCCN 76087042