5: Vector Spaces
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The two key properties of vectors are that they can be added together and multiplied by scalars, so we make the following definition.
Definition
A
- (Additive Closure)
. - (Additive Commutativity)
. - (Additive Associativity)
. - (Zero) There is a special vector
such that for all in . - (Additive Inverse) For every
there exists such that . - (Multiplicative Closure)
. - (Distributivity)
. - (Distributivity)
. - (Associativity)
. - (Unity)
for all .
Remark
Rather than writing
Similarly
On the other hand, the dot product takes two vectors and returns a number. Succinctly:
- 5.1: Examples of Vector Spaces
- One can find many interesting vector spaces, such as the following:
- 5.2: Other Fields
- Above, we defined vector spaces over the real numbers. One can actually define vector spaces over any field. This is referred to as choosing a different base field. A field is a collection of "numbers'' satisfying certain properties.
Contributor
David Cherney, Tom Denton, and Andrew Waldron (UC Davis)