Question

Let the set of vectors {v1, ...vk, ... ,vn} are basis for subspace V in Rn....

Let the set of vectors {v1, ...vk, ... ,vn} are basis for subspace V in Rn.

Are the vectors v1 , .... , vk are linearly independent too?

Homework Answers

Answer #1

S be a subset of V

Let S be a set of v1,v2 ,.....vk,.....,vn vectors

i.e. S={v1,v2,.....vk......vn}

Then set S called basis of V if:

(1) S is linear independent.

(2) S spans vector space V.

So we say S is linear independent because given that S={v1,v2,....vk,...vn} is basis of vector space V.

Also {v1,v2,....,vk} is subset of set S.

And we know that"A subset of linear independent set is also linear independent.

So set {v1,v2,......,vk} is also linear independent .

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 {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?
Let V and W be finite-dimensional vector spaces over F, and let φ : V →...
Let V and W be finite-dimensional vector spaces over F, and let φ : V → W be a linear transformation. Let dim(ker(φ)) = k, dim(V ) = n, and 0 < k < n. A basis of ker(φ), {v1, . . . , vk}, can be extended to a basis of V , {v1, . . . , vk, vk+1, . . . , vn}, for some vectors vk+1, . . . , vn ∈ V . Prove that...
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}...
if {Av1,Av2,..., Avk} is linearly dependent set of vectors in Rn and A is an nxn...
if {Av1,Av2,..., Avk} is linearly dependent set of vectors in Rn and A is an nxn invertible matrix, the {v1,v2,...vk} is also a linearly dependent set of vectors in Rn
Suppose v1, v2, . . . , vn is linearly independent in V and w ∈...
Suppose v1, v2, . . . , vn is linearly independent in V and w ∈ V . Show that v1, v2, . . . , vn, w is linearly independent if and only if w ∈/ Span(v1, v2, . . . , vn).
Let S={v1,...,Vn} be a linearly dependent set. Use the definition of linear independent / dependent to...
Let S={v1,...,Vn} be a linearly dependent set. Use the definition of linear independent / dependent to show that one vector in S can be expressed as a linear combination of other vectors in S. Please show all work.
. Given vectors v1, ..., vk in F n , by reducing the matrix M with...
. Given vectors v1, ..., vk in F n , by reducing the matrix M with v1, ..., vk as its rows to its reduced row echelon form M˜ , we can get a basis B of Span ({v1, ..., vk}) consisting of the nonzero rows of M˜ . In general, the vectors in B are not in {v1, ..., vk}. In order to find a basis of Span ({v1, ..., vk}) from inside the original spanning set {v1, ...,...
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.
1. Prove that if {⃗v1, ⃗v2, ⃗v3} is a linear dependent set of vectors in V...
1. Prove that if {⃗v1, ⃗v2, ⃗v3} is a linear dependent set of vectors in V , and if ⃗v4 ∈ V , then {⃗v1, ⃗v2, ⃗v3, ⃗v4} is also a linear dependent set of vectors in V . 2. Prove that if {⃗v1,⃗v2,...,⃗vr} is a linear dependent set of vectors in V, and if⃗ vr + 1 ,⃗vr+2,...,⃗vn ∈V, then {⃗v1,⃗v2,...,⃗vn} is also a linear dependent set of vectors in V.
Let V be a vector space and let v1,v2,...,vn be elements of V . Let W...
Let V be a vector space and let v1,v2,...,vn be elements of V . Let W = span(v1,...,vn). Assume v ∈ V and ˆ v ∈ V but v / ∈ W and ˆ v / ∈ W. Define W1 = span(v1,...,vn,v) and W2 = span(v1,...,vn, ˆ v). Prove that either W1 = W2 or W1 ∩W2 = W.