Question #44918

State if the following statements are true and which are false? Justify your answer with a
short proof or a counterexample.

If {v1, v2, .... , vn} is a basis for vector space V, then {v1+v2+ +vn, v2,.... ,vn} is also
a basis for V

Expert's answer

Answer on Question #44918 – Math - Linear Algebra

Problem.

State if the following statements are true and which are false? Justify your answer with a short proof or a counterexample.

If {v1, v2, ..., vn} is a basis for vector space V, then {v1+v2+ +vn, v2,..., vn} is also a basis for V

Solution.

The statement is true.

We need to show that [v1+v2++vn,v2,,vn][v_1 + v_2 + \dots + v_n, v_2, \ldots, v_n] is a set of linearly independent vectors and each element of VV can be represented as linear combination of vectors from set.

Suppose that vectors v1+v2++vn,v2,,vnv_{1} + v_{2} + \dots + v_{n}, v_{2}, \ldots, v_{n} are linearly dependent. Then there exist λ1,λ2,,λnP\lambda_{1}, \lambda_{2}, \ldots, \lambda_{n} \in P (where PP is a field) such that


λ1(v1+v2++vn)+λ2v2++λnvn=0\lambda_ {1} \left(v _ {1} + v _ {2} + \dots + v _ {n}\right) + \lambda_ {2} v _ {2} + \dots + \lambda_ {n} v _ {n} = 0


or


λ1v1+(λ1+λ2)v2++(λ1+λn)vn=0,\lambda_ {1} v _ {1} + (\lambda_ {1} + \lambda_ {2}) v _ {2} + \dots + (\lambda_ {1} + \lambda_ {n}) v _ {n} = 0,


but λ1v1+(λ1+λ2)v2++(λ1+λn)vn0\lambda_1v_1 + (\lambda_1 + \lambda_2)v_2 + \dots + (\lambda_1 + \lambda_n)v_n \neq 0, as vectors v1,v2,,vnv_1, v_2, \ldots, v_n are linearly independent.

Hence v1+v2++vn,v2,,vnv_{1} + v_{2} + \dots + v_{n}, v_{2}, \ldots, v_{n} are linearly independent.

If uVu \in V, then there exist λ1,λ2,,λnP\lambda_1, \lambda_2, \ldots, \lambda_n \in P ([v1,v2,,vn][v_1, v_2, \ldots, v_n] is a basis), such that


u=λ1v1+λ2v2++λnvnu = \lambda_ {1} v _ {1} + \lambda_ {2} v _ {2} + \dots + \lambda_ {n} v _ {n}


or


u=λ1(v1+v2+vn)+(λ2λ1)v2++(λnλ1)vn.u = \lambda_ {1} (v _ {1} + v _ {2} + \dots v _ {n}) + (\lambda_ {2} - \lambda_ {1}) v _ {2} + \dots + (\lambda_ {n} - \lambda_ {1}) v _ {n}.


Hence each element of VV can be represented as linear combination of vectors from set


{v1+v2++vn,v2,,vn}.\{v _ {1} + v _ {2} + \dots + v _ {n}, v _ {2}, \dots , v _ {n} \}.


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