A set of 6 vectors in R5 cannot be a basis for R5, true or false?

In summary, a set of 6 vectors in R5 cannot be a basis for R5 because it is linearly dependent, meaning it does not satisfy the requirement of being a linearly independent spanning set. Therefore, the statement "A set of 6 vectors in R5 cannot be a basis for R5" is true.
  • #1
NewtonianAlch
453
0

Homework Statement


A set of 6 vectors in R5 cannot be a basis for R5, true or false?

The Attempt at a Solution



I'm thinking true, because any set of 6 vectors in R5 is linearly dependent, even though some sets of 6 vectors in R5 span R5.

To be a basis it must be a linearly independent spanning set, so if it's linearly dependent, it cannot be a basis.
Am I correct?
 
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  • #2
NewtonianAlch said:

Homework Statement


A set of 6 vectors in R5 cannot be a basis for R5, true or false?

The Attempt at a Solution



I'm thinking true, because any set of 6 vectors in R5 is linearly dependent, even though some sets of 6 vectors in R5 span R5.

To be a basis it must be a linearly independent spanning set, so if it's linearly dependent, it cannot be a basis.
Am I correct?

Yes.
 
  • #3
A "basis" for a finite dimensional vector space has three properties:
1. It spans the space.
2. Its vectors are independent.
3. The number of vectors in the basis is equal to the dimension of the space.

And, if any two of these are true, so is the third.
 
  • #4
Thanks for the help.
 

1. What is a basis in linear algebra?

A basis in linear algebra is a set of linearly independent vectors that span a vector space. This means that any vector in the vector space can be written as a linear combination of the basis vectors.

2. How many vectors are needed to form a basis for a vector space?

The number of vectors needed to form a basis for a vector space is equal to the dimension of the vector space. In the case of R5, which is a 5-dimensional vector space, a basis would consist of 5 linearly independent vectors.

3. Can a set of 6 vectors in R5 be a basis for R5?

No, a set of 6 vectors in R5 cannot be a basis for R5. This is because R5 is a 5-dimensional vector space, and a basis for a vector space must consist of a number of vectors equal to the dimension of the vector space.

4. What does it mean for vectors to be linearly independent?

Vectors are linearly independent if none of them can be written as a linear combination of the others. In other words, no vector in the set can be expressed as a combination of the other vectors using scalar multiplication and addition.

5. Is it possible for a set of vectors to be linearly dependent in a vector space?

Yes, it is possible for a set of vectors to be linearly dependent in a vector space. This means that at least one of the vectors in the set can be written as a linear combination of the other vectors in the set. In the case of R5, if a set of 6 vectors can be written as a linear combination of the other 5 vectors, then it is not a basis for R5.

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