Question

Let V be a vector space of dimension n > 0, show that (a) Any set...

Let V be a vector space of dimension n > 0, show that
(a) Any set of n linearly independent vectors in V forms a basis.

(b) Any set of n vectors that span V forms a basis.

Homework Answers

Answer #1

(a) Any set of n linearly independent vectors in V forms a basis.

Suppose that S = {v1,v2,…,vn} are n linearly independent vectors. Take any non-zero vector v∈V. As V is of dimension n, the vectors v,v1,…,vn satisfy a linear dependency.


where not all the coefficients α,α1,…,αn are 0. In fact, α≠0 as S is linearly independent. Therefore, one can write

which proves that S is a basis for V

(b) Any set of n vectors that span V forms a basis

Suppose that S = {v1,v2,…,vn} span V.

If vectors are not linearly independent.

v1 can be written as

which shows dimension of S is having dimension less than n. (given dim(V) = n) which is clearly false. so, the vectors of set S are linearly independent.
Hence from (a) , any set of n linearly independent vectors forms basis. So, S forms basis.
hence proved.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let V be a vector space with dimV = n. Show that : Any spanning set...
Let V be a vector space with dimV = n. Show that : Any spanning set for V consisting of exactly n vectors is a basis for V.
Suppose we have a vector space V of dimension n. Let R be a linearly independent...
Suppose we have a vector space V of dimension n. Let R be a linearly independent set with order n−2. Let S be a spanning set with order n+ 2. Outline a strategy to extend R to a basis for V. Outline a strategy to pare down S to a basis for V .
Let V be an n-dimensional vector space and W a vector space that is isomorphic to...
Let V be an n-dimensional vector space and W a vector space that is isomorphic to V. Prove that W is also n-dimensional. Give a clear, detailed, step-by-step argument using the definitions of "dimension" and "isomorphic" the Definiton of isomorphic:  Let V be an n-dimensional vector space and W a vector space that is isomorphic to V. Prove that W is also n-dimensional. Give a clear, detailed, step-by-step argument using the definitions of "dimension" and "isomorphic" The Definition of dimenion: the...
Let S be a set in a vector space V and v any vector. Prove that...
Let S be a set in a vector space V and v any vector. Prove that span(S) = span(S ∪ {v}) if and only if v ∈ span(S).
4. Prove the Following: a. Prove that if V is a vector space with subspace W...
4. Prove the Following: a. Prove that if V is a vector space with subspace W ⊂ V, and if U ⊂ W is a subspace of the vector space W, then U is also a subspace of V b. Given span of a finite collection of vectors {v1, . . . , vn} ⊂ V as follows: Span(v1, . . . , vn) := {a1v1 + · · · + anvn : ai are scalars in the scalar field}...
Let {V1, V2,...,Vn} be a linearly independent set of vectors choosen from vector space V. Define...
Let {V1, V2,...,Vn} be a linearly independent set of vectors choosen from vector space V. Define w1=V1, w2= v1+v2, w3=v1+ v2+v3,..., wn=v1+v2+v3+...+vn. (a) Show that {w1, w2, w3...,wn} is a linearly independent set. (b) Can you include that {w1,w2,...,wn} is a basis for V? Why or why not?
Complete the proof Let V be a nontrivial vector space which has a spanning set {xi}...
Complete the proof Let V be a nontrivial vector space which has a spanning set {xi} ki=1. Then there is a subset of {xi} ki=1 which is a basis for V. Proof. We will divide the set {xi} ki=1 into two sets, which we will call good and bad. If x1 ≠ 0, then we label x1 as good and if it is zero, we label it as bad. For each i ≥ 2, if xi ∉ span{x1, . ....
Let T be a 1-1 linear transformation from a vector space V to a vector space...
Let T be a 1-1 linear transformation from a vector space V to a vector space W. If the vectors u, v and w are linearly independent in V, prove that T(u), T(v), T(w) are linearly independent in W
Definition. Let S ⊂ V be a subset of a vector space. The span of S,...
Definition. Let S ⊂ V be a subset of a vector space. The span of S, span(S), is the set of all finite linear combinations of vectors in S. In set notation, span(S) = {v ∈ V : there exist v1, . . . , vk ∈ S and a1, . . . , ak ∈ F such that v = a1v1 + . . . + akvk} . Note that this generalizes the notion of the span of a...
1. Let v1,…,vn be a basis of a vector space V. Show that (a) for any...
1. Let v1,…,vn be a basis of a vector space V. Show that (a) for any non-zero λ1,…,λn∈R, λ1v1,…,λnvn is also a basis of V. (b) Let ui=v1+⋯+vi, 1≤i≤n. Show that u1,…,un is a basis of V.