A vector space is an algebraic structure with two binary operations, + and *, that satisfy the following axioms:
1) Associativity: a + ( b + c ) = ( a + b ) + c
2) Commutativity: a + b = b + a
3) Addition identity: a + 0 = a
4) Additive inverse: a + a-1 = 0
5) Scalar distributivity with respect to vector addition: c*(a + b) = c*a + c*b
6) Scalar distributivity with respect to field addition: (c + d)*a = c*a + d*a
7) Compatibility: c*(d*a) = (c*d)*a
8) Scalar multiplicative identity: 1*a = a
For the above axioms a, b, 0, Є Vand 1, c, d Є F where V is a set of vectors over the field F. Most of the time F = R or C, which are the sets of real and complex numbers, respectively.
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There does not seem to be an under vector room, but there is vector space. Vector space is a structure that is formed by a collection of vectors. This is a term in mathematics.
Vector spaces can be formed of vector subspaces.
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Comparison of space vector modulation techniques based onperformance indexes and hardware implementation
Nope