Is the following a basis?

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And you can see that if you add the three vectors you get $$v_1+v_1+v_2+v_2+v_3+v_3=2v_1+2v_2+2v_3$$. So any linear combination of them is in the span of ##v_1, v_2, v_3##. So they are a basis.
  • #1
charlies1902
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Suppose that S = {v1, v2, v3} is a basis for a
vector space V.
a. Determine whether the set T = {v1, v1 +
v2, v1 + v2 + v3} is a basis for V.
b. Determine whether the set
W = {−v2 + v3, 3v1 + 2v2 + v3, v1 −
v2 + 2v3} is a basis for V.


I must check if they're linearly independent.

For a:
c1v1+c2v1+c2v2+c3v1+c3v2+c3v3=0 c's are constants
v1(c1+c2)+v2(c2+c3)+v3(c3)
Forming the matrix gives
1 1 0
0 1 1
0 0 1
rref of this matrix is the identity matrix, thus it's linearly independent.


For b:
the same thing was done except the rref of the matrix was not the identity matrix, thus it's not a basis.


My question is is there an easier way to do this problem? It seems i made it harde/longer.
 
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  • #2
charlies1902 said:
Suppose that S = {v1, v2, v3} is a basis for a
vector space V.
a. Determine whether the set T = {v1, v1 +
v2, v1 + v2 + v3} is a basis for V.
b. Determine whether the set
W = {−v2 + v3, 3v1 + 2v2 + v3, v1 −
v2 + 2v3} is a basis for V.


I must check if they're linearly independent.

For a:
c1v1+c2v1+c2v2+c3v1+c3v2+c3v3=0 c's are constants
It would be clearer if you start$$c_1v_1+c_2(v_1+v_2)+c_3(v_1+v_2+v_3)=0$$
v1(c1+c2)+v2(c2+c3)+v3(c3)
and maybe you wouldn't have made that mistake, should be
$$(c_1+c_2+c_3)v_1+(c_2+c_3)v_2 +c_3v_3=0$$
Forming the matrix gives
1 1 0
0 1 1
0 0 1
rref of this matrix is the identity matrix, thus it's linearly independent.

My question is is there an easier way to do this problem? It seems i made it harde/longer.

Yes, you can do it in your head. Looking at my last equation you see ##c_3=0##. Then since ##(c_2+c_3)=0## you know ##c_2=0## so...

Sometimes the equations are so simple it isn't worth the time to row reduce.
 

1. What is a basis in mathematics?

A basis in mathematics refers to a set of linearly independent vectors that can be used to represent any vector in a vector space. It is a fundamental concept in linear algebra and is often used to solve systems of linear equations or to represent geometric transformations.

2. How do you determine if a set of vectors is a basis?

To determine if a set of vectors is a basis, you can use two criteria: linear independence and span. The set of vectors must be linearly independent, meaning that no vector in the set can be written as a linear combination of the other vectors. Additionally, the set of vectors must span the entire vector space, meaning that any vector in the space can be expressed as a linear combination of the basis vectors.

3. Can a basis have more than one solution?

No, a basis can only have one unique solution. This is because the definition of a basis requires the set of vectors to be linearly independent and span the entire vector space, which can only be achieved by a unique set of vectors.

4. Can a set of vectors that are not in the same dimension be a basis?

No, a basis must consist of vectors that are all in the same dimension. This is because a basis is used to represent any vector in a vector space, and vectors in different dimensions cannot be added or multiplied together.

5. How is a basis related to a coordinate system?

A basis is closely related to a coordinate system as it provides the foundation for representing vectors in a vector space. Each vector in the basis corresponds to a coordinate axis, and the coordinates of a vector in the space are determined by its coefficients in the linear combination of the basis vectors.

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