why is the span S of any set of vectors in a vector space V a subspace of V?
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Let v1,...,vn be any set of n vectors in vector space V.
S = span of {v1,...,vn} is defined as the set of all linear combinations of the vectors
v1,...,vn.
To prove that S is a subspace of V, we need to prove that i) 0 is in S, ii) S is closed under addition, and iii) S is closed under scalar multiplication.
i) This part is easy. Note that 0 = 0v1+...+0vn, which is a linear combination of the vectors
v1,...,vn and is therefore in S.
ii) For any vectors x and y in S, we can write, for scalars c1,...,cn and d1,...,dn,
x = c1v1+...+cnvn and y = d1v1+...+dnvn.
Then x + y = (c1v1+...+cnvn) + (d1v1+...+dnvn) = (c1+d1)v1+...+(cn+dn)vn
and so x + y is a linear combination of v1,...,vn and is therefore in S as well. So S is closed under addition.
iii) For any vector x in S and any scalar r, we can write, for scalars c1,...,cn,
x = c1v1+...+cnvn.
Then rx = r(c1v1+...+cnvn) = (r*c1)v1+...+(r*cn)vn
and so rx is a linear combination of v1,...,vn and is therefore in S as well. So S is closed under scalar multiplication.
We conclude that the span S of any set of n vectors is a subspace of V.
Lord bless you on this Easter Sunday!
S = span of {v1,...,vn} is defined as the set of all linear combinations of the vectors
v1,...,vn.
To prove that S is a subspace of V, we need to prove that i) 0 is in S, ii) S is closed under addition, and iii) S is closed under scalar multiplication.
i) This part is easy. Note that 0 = 0v1+...+0vn, which is a linear combination of the vectors
v1,...,vn and is therefore in S.
ii) For any vectors x and y in S, we can write, for scalars c1,...,cn and d1,...,dn,
x = c1v1+...+cnvn and y = d1v1+...+dnvn.
Then x + y = (c1v1+...+cnvn) + (d1v1+...+dnvn) = (c1+d1)v1+...+(cn+dn)vn
and so x + y is a linear combination of v1,...,vn and is therefore in S as well. So S is closed under addition.
iii) For any vector x in S and any scalar r, we can write, for scalars c1,...,cn,
x = c1v1+...+cnvn.
Then rx = r(c1v1+...+cnvn) = (r*c1)v1+...+(r*cn)vn
and so rx is a linear combination of v1,...,vn and is therefore in S as well. So S is closed under scalar multiplication.
We conclude that the span S of any set of n vectors is a subspace of V.
Lord bless you on this Easter Sunday!