Proving Linear Independence and Spanning in Vector Spaces

In summary: Is there a better way to word this?If v_1,...,v_k$spans V then all vectors in V are generated by some linear combination of v_1,...,v_k. It's clearly seen that we can generate any vector in the sequence by setting the constant of the desired vector to 1 and the others to 0. Hence the sequence is maximal linearly independent, adding another vector will provoke a dependency. The dependency didn't exist before the new vector was added. This implies that the added vector can be written as a linear combination of the other vectors. If we do this for every remaining vector in V, then all vectors can be written as a linear combination of the given sequence and therefore it spans V
  • #1
Danielm
21
0

Homework Statement


Prove the following: Let V be a vector space and assume there is an integer n such that if (v1, . . . , vk) is a linearly independent sequence from V then k ≤ n. Prove is (v1, . . . , vk) is a maximal linearly independent sequence from V then (v1, . . . , vk) spans V and is therefore a basis.

Homework Equations

The Attempt at a Solution


If v_1,...,v_k$spans V then all vectors in V are generated by some linear combination of v_1,...,v_k. It's clearly seen that we can generate any vector in the sequence by setting the constant of the desired vector to 1 and the others to 0. Hence the sequence is maximal linearly independent, adding another vector will provoke a dependency. The dependency didn't exist before the new vector was added. This implies that the added vector can be written as a linear combination of the other vectors. If we do this for every remaining vector in V, then all vectors can be written as a linear combination of the given sequence and therefore it spans V. The sequence is linearly independent and it spans V, so it's a basis.
is that correct?
 
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  • #2
You are asked to prove it spans V. Starting with "if v1..vk spans V" is not helpful.
 
  • #3
haruspex said:
You are asked to prove it spans V. Starting with "if v1..vk spans V" is not helpful.
So if I delete the first sentence, it would look better? because clearly that's what I want to prove.
 
  • #4
Danielm said:
So if I delete the first sentence, it would look better? because clearly that's what I want to prove.
You'll need to delete all that followed from that, i.e. the first two and a half lines. So it now starts
Danielm said:
adding another vector will provoke a dependency.
That seems to work.
 

1. What is the definition of linear independence in vector spaces?

Linear independence in vector spaces refers to a set of vectors where none of the vectors in the set can be written as a linear combination of the other vectors. In other words, there are no redundant vectors in the set and each vector adds a unique dimension to the space.

2. How can we prove linear independence in a set of vectors?

To prove linear independence, we need to show that the only solution to the equation c1v1 + c2v2 + ... + cnvn = 0 is when all the coefficients (c1, c2, ..., cn) are equal to 0. This means that the only way to combine the vectors to get a zero vector is by multiplying each vector with a coefficient of 0, which implies that the vectors are linearly independent.

3. What is the process for proving spanning in a vector space?

To prove spanning, we need to show that every vector in the vector space can be written as a linear combination of the given set of vectors. This means that any vector in the space can be expressed as c1v1 + c2v2 + ... + cnvn, where c1, c2, ..., cn are constants and v1, v2, ..., vn are the given set of vectors.

4. Is it possible for a set of linearly independent vectors to not span the vector space?

Yes, it is possible for a set of linearly independent vectors to not span the vector space. This can occur when the set of vectors is not large enough to cover all the dimensions of the vector space. In order for a set of vectors to span a vector space, the number of vectors in the set should be equal to the dimension of the vector space.

5. How do we determine if a set of vectors is both linearly independent and spanning?

A set of vectors is both linearly independent and spanning if it can be shown that the vectors form a basis for the vector space. This means that the set of vectors is linearly independent, spans the vector space, and has the minimum number of vectors needed to span the space. Additionally, every vector in the vector space can be written as a unique linear combination of the basis vectors.

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