# Vector spaces and sub spaces: Part-i

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Vector space is set of vectors which are closed under addition and scalar multiplication.
A set of vectors is said to be 'closed under addition' if  the sum of any two vectors is also a vector of the same set.
A set of vectors is said to be 'closed under multiplication' if the scalar multiplication of any vector is also a vector of the same set.
If A & B are two vectors from the set so does (A+B) and also λA is also another vector of same set.
Example of vector spaces:
V2 → {x, y} represents a vector space of order 2 for different values of x & y.
V3 → {x, y, z}
Vn → {x1, x2, ---, xn}
Totality of vector obtained by linear combination of  given set of vectors is called subspaces of the given vector set.

Generating or Spanning set:
Generating set is set of vector whose linear combination generate or span a vector space.
Basis of  a vector space is a set of linearly independent vectors that generate on entire vector space.
For example,
(1,0,0); (0,1,0); (0,0,1) is a basis of vector space V3 .
Let (x,y,z) be a vector from  V3 . Clearly-
x (1,0,0) + y(0,1,0) + z(0,0,1) = (x,y,z)

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