Proving Vector Space Relationships in WU{A} and WU{B}

In summary, In order for a vector "A" to exist in the subspace WU{B}, the vector "B" must not belong to W. Additionally, adding a single vector or a 1-dimensional subspace onto a subspace through set union does not create another subspace. The question also asks if an infinite subspace W of an infinite vector space can also be infinite.
  • #1
LAINHELL
1
0
Hi, I need help with this:

Let V be a vector space (V may be infinite) and let W be a subspace of V, if "B" is a vector in V that doesn't belong to W, prove that if "A" is a vector in V such that "B" exists in the subspace WU{A} then "A" exists in the subspace WU{B}.

I also have a question, can a subspace W of an infinite vector space be infinite?

thanks.
 
Physics news on Phys.org
  • #2
Tacking on a single vector (or even a 1-dimensional subspace) onto a subspace via set union doesn't give you another subspace. Your question probably wanted W+<A> where + is vector space addition (all vectors of the form w+a, w in W and a in span{A})
 

Related to Proving Vector Space Relationships in WU{A} and WU{B}

1. What is a vector space relationship?

A vector space relationship refers to the set of operations and properties that govern the behavior of vectors within a given vector space. These relationships include addition, scalar multiplication, and the distributive and associative properties.

2. What is the importance of proving vector space relationships?

Proving vector space relationships is important because it allows us to understand and utilize the rules and properties that govern vector operations. This is essential in various fields of science and mathematics, such as physics, engineering, and computer science.

3. How do you prove vector space relationships in WU{A} and WU{B}?

To prove vector space relationships in WU{A} and WU{B}, we first need to show that the given set of vectors satisfy the properties of a vector space. This includes proving closure under addition and scalar multiplication, as well as showing that the distributive and associative properties hold. We can then use these properties to demonstrate the relationships between vectors in the vector space.

4. What is the difference between WU{A} and WU{B} in proving vector space relationships?

The difference between WU{A} and WU{B} lies in the specific set of vectors being considered. WU{A} may refer to a set of vectors in a two-dimensional vector space, while WU{B} may refer to a set of vectors in a three-dimensional vector space. The process of proving vector space relationships is the same, but the calculations and operations may differ based on the dimensionality of the vector space.

5. Are there any tips for proving vector space relationships in WU{A} and WU{B}?

One tip for proving vector space relationships in WU{A} and WU{B} is to carefully follow the properties of a vector space and use them step by step to show the relationships between the given vectors. It can also be helpful to break down complex operations into smaller steps and to use examples to better understand the concepts and calculations involved.

Similar threads

  • Linear and Abstract Algebra
Replies
6
Views
1K
  • Linear and Abstract Algebra
Replies
8
Views
1K
  • Linear and Abstract Algebra
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
14
Views
871
Replies
2
Views
1K
  • Linear and Abstract Algebra
Replies
3
Views
468
  • Linear and Abstract Algebra
Replies
18
Views
593
  • Linear and Abstract Algebra
Replies
7
Views
483
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
19
Views
4K
Back
Top