Coordinate vector basis proving question

In summary, the set {[v1]s,[v2]s,...[vn]s} is a basis for Rn because it spans Rn and is linearly independent. This can be proven using the definitions and concepts of basis and coordinate vectors.
  • #1
gtse
5
0

Homework Statement


Let S = {v1,v2,...,vn} be a basis for an n-dimensional vector space V. Show that {[v1]s,[v2]s,...[vn]s} is a basis for Rn.
Here [v]s means the coordinate vector with respect to the basis S.

Homework Equations


[v]s is the coordinate vector with respect to the basis S.


The Attempt at a Solution


S={v1..vn} is a basis and must be linearly independent.
Any vector v in S then is a unique linear combination of the vectors in S, so v=a1v1+a2v2+...+anvn.
Since [v]s in general = (a1,a2,...an), then every [vi]s where i = 1 .. n has a unique (a1,a2,...,an) and so the basis {[v1]s,...,[v2]s} will be linearly independent and thus form a basis for Rn.


I have no answers to verify with, so I would like to know if I have answered it correctly. I am extremely weak with anything to do with proving so any assistance would be greatly appreciated, :).
 
Physics news on Phys.org
  • #2


I would approach this problem by first understanding the definitions and concepts involved. A basis for a vector space is a set of linearly independent vectors that span the entire space. This means that any vector in the space can be written as a linear combination of the basis vectors.

Next, I would consider the concept of coordinate vectors with respect to a basis. This means that for any vector v in the vector space, [v]s represents the unique set of coordinates that describe v with respect to the basis S.

Now, let's look at the set {[v1]s,[v2]s,...[vn]s}. This set contains the coordinate vectors of the basis vectors v1, v2, ..., vn with respect to the basis S. Since S is a basis for V, this means that any vector in V can be written as a linear combination of the basis vectors (i.e. v=a1v1+a2v2+...+anvn). And since [v]s represents the coordinates of v with respect to S, this means that [v]s can also be written as a linear combination of [v1]s, [v2]s, ..., [vn]s.

Therefore, the set {[v1]s,[v2]s,...[vn]s} spans Rn, since any vector in Rn can be written as a linear combination of these coordinate vectors. And since these coordinate vectors are also linearly independent (since S is linearly independent), this set forms a basis for Rn.

In conclusion, the set {[v1]s,[v2]s,...[vn]s} is a basis for Rn because it spans Rn and is linearly independent. This can be proven by using the definitions and concepts of basis and coordinate vectors.
 

1. What is a coordinate vector basis?

A coordinate vector basis is a set of vectors that can be used to represent any vector in a vector space by expressing it as a linear combination of the basis vectors. It is a fundamental concept in linear algebra and is used to simplify vector calculations.

2. How do you prove that a set of vectors is a coordinate vector basis?

To prove that a set of vectors is a coordinate vector basis, you must show that the vectors are linearly independent and span the entire vector space. This means that no vector in the set can be expressed as a linear combination of the other vectors, and that any vector in the vector space can be written as a linear combination of the basis vectors.

3. Why is it important to have a coordinate vector basis?

A coordinate vector basis is important because it allows us to easily represent and manipulate vectors in a vector space. It simplifies vector calculations and makes it easier to solve problems in linear algebra. Additionally, having a coordinate vector basis allows us to define coordinate systems and make precise measurements in mathematics, physics, and other scientific fields.

4. Can a set of vectors be a coordinate vector basis in more than one dimension?

Yes, a set of vectors can be a coordinate vector basis in more than one dimension. The dimension of a coordinate vector basis is determined by the number of basis vectors in the set. For example, a set of three linearly independent vectors can form a coordinate vector basis in a three-dimensional vector space.

5. How is a coordinate vector basis different from a standard basis?

A standard basis is a specific type of coordinate vector basis where the basis vectors have a length of 1 and are aligned with the coordinate axes. In contrast, a coordinate vector basis can have any set of linearly independent vectors as its basis vectors, and they do not necessarily have to align with the coordinate axes.

Similar threads

  • Calculus and Beyond Homework Help
Replies
0
Views
449
  • Calculus and Beyond Homework Help
Replies
6
Views
2K
  • Calculus and Beyond Homework Help
Replies
34
Views
2K
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
4
Views
2K
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Linear and Abstract Algebra
Replies
9
Views
575
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
17
Views
3K
  • Calculus and Beyond Homework Help
Replies
17
Views
2K
Back
Top