Proving that S is a Basis for the n-Dimensional Vector Space V

In summary, for both statements, we can conclude that S is a basis for V if and only if S spans V and the vectors in S are linearly independent.
  • #1
horefaen
9
0
1
Suppose S is a set of n linearly independet in the n-dimensional vectorspace V. Prove that S is a basis for V.

My try at this proof is:
For S to be a basis for V it has to span V and the vectors in S needs to be linearly independent. But they have allreade sad that the vectors in S are linearly independent, so we only needs to show that it spans V.

But since V is n-dimensional it means that n linearly independent vectors in V span it, hence since S has n linearly independent vectors and is in V, S is a basis for V? Is this right?

2
Suppose that S is a set if n vectors that span the n-dimensional vector space V. Prove that S is a basis for V.

Now we need to show that the vectors in S is lineraly independent, right? But since n is n-dimensional it means that n lineraly independent vectors span it, since S is a set of vectors that spans V and S has n vectors, S is lineraly independent? Have I proved this one right?
 
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  • #2


Your proof is correct for both statements. To prove that S is a basis for V, you need to show that S spans V and that the vectors in S are linearly independent. Since S has n linearly independent vectors and V is n-dimensional, S must span V. And since S spans V and has n linearly independent vectors, it must also be a basis for V. Similarly, to prove that S is linearly independent, you need to show that S spans V and that the vectors in S are linearly independent. Since S spans V and has n linearly independent vectors, it must also be linearly independent.
 

1. How do you define a basis for an n-dimensional vector space?

A basis for an n-dimensional vector space V is a set of n linearly independent vectors that span the entire vector space. This means that any vector in V can be written as a unique linear combination of the basis vectors.

2. Why is it important to prove that a set of vectors is a basis for a vector space?

Proving that a set of vectors is a basis for a vector space is important because it ensures that the set is a complete and minimal set of vectors that can represent all vectors in the space. This is crucial for performing operations and calculations in the vector space.

3. What is the process for proving that a set of vectors is a basis for an n-dimensional vector space?

To prove that a set of vectors S is a basis for an n-dimensional vector space V, we need to show that the vectors in S span V and are linearly independent. This can be done by showing that any vector in V can be written as a linear combination of the basis vectors, and that the coefficients in this linear combination are unique.

4. Can a vector space have more than one basis?

Yes, a vector space can have multiple bases. As long as the bases satisfy the definition of a basis, they can be used to represent all vectors in the vector space.

5. What is the relationship between the dimension of a vector space and the number of vectors in its basis?

The dimension of a vector space is equal to the number of vectors in its basis. This means that for an n-dimensional vector space, the basis will consist of n linearly independent vectors.

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