On-Line Computer Graphics Notes
Examples of vector space abound in mathematics. The most obvious
examples are the usual vectors in
, from which we have drawn
our illustrations in the sections above. But we frequently utilize
several other vectors spaces: The
3-d space of vectors, the
vector space of all polynomials of a fixed degree,
and vector spaces of
matrices. We briefly discuss these below.
The Vector Space of 3-Dimensional Vectors
The vectors in
also form a vector space, where
in this case the vector operations of addition and scalar
multiplication are done componentwise. That is
and
are vectors, then
addition is

and, if c is a scalar, scalar multiplication is given by

The axioms are easily verified (for example the additive identity of
is just
, and the zero vector is just
.
Here the axioms just state what we always have been taught
about these sets of vectors.
The set of quadratic polynomials of the form

also form a vector space.
We add two of polynomials by adding their respective coefficients.
That is, if
and
, then

and multiplication is done by multiplying the scalar by each coefficient. That is, if s is a scalar, then

The axioms are again easily verified by performing the operations individually on like terms.
A simple extension of the above is to consider the set of polynomials of degree less than or equal to n. It is easily seen that these also form a vector space.
The set of
Matrices form a vector space. Two
matrices can be added componentwise, and a matrix can be multiplied by
a scalar. All axioms are easily verified.
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This document maintained by
Ken Joy
All contents copyright (c) 1996, 1997 |
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