Dimension of vector space intersect with one proper subset

In both cases, we can see that dim(U\cap W) is at least n-1 or equal to n-1, respectively. Thus, dim(U\cap W)\geq n-1 and since dim(W)=dim(W+U)-dim(U\cap W), we can see that dim(U\cap W)\geq dim(W)-1.In summary, using the dimension theorem, we can show that for a vector space (V,+,k) over kn with n > 1, and subsets W and U of V with dim(U) = n-1, the dimension of their intersection is greater than or equal to the dimension of W minus 1.
  • #1
iloveannaw
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Homework Statement



Given is a vector space (V,+,k) over kn with n > 1. Show that with

[tex]W \subseteq V[/tex], [tex]U \subset V [/tex]and [tex]dim(U) = n - 1[/tex]

[tex]dim(W \cap U) \geq dim(W) - 1[/tex]

Homework Equations



[tex]dim(W+U) +dim(W \cap U) = dim(W) +dim(V)[/tex]

The Attempt at a Solution

[tex]dim(V) = n [/tex]
[tex]dim(W) \leq dim(V)[/tex]

dim(W+U) is equal to the dimension of the 'smallest' subset (depending whether dim(W) is less than or greater than dim(U)).

the way i see it the are three distinct cases. Either
a) [tex]dim(U) < dim(W) \leq dim(V)[/tex]
b) [tex]dim(U) \leq dim(W) < dim(V)[/tex]
c) [tex]dim(W) < dim(U) \leq dim(V)[/tex]

the result of a and b are the same [tex] dim(W \cap U) = dim(W) [/tex]

in all cases [tex] dim(W \cap U) \geq dim(W) - 1[/tex]

but how can you show this in a nice clean way?
 
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  • #2
You have the dimension theorem

[tex]dim(U+W)+dim(U\cap W)=dim(U)+dim(W)[/tex]

Now plug in dim(U)=n-1. Now there are two cases to consider: dim(U+W)=n-1 or n.
 

Related to Dimension of vector space intersect with one proper subset

1. What is the definition of a vector space?

A vector space is a mathematical structure that consists of a set of objects, called vectors, and a set of operations that can be performed on these vectors, such as addition and scalar multiplication. These operations follow specific rules, such as closure, commutativity, and associativity, and the set of vectors must satisfy certain properties, such as having a zero vector and being closed under scalar multiplication.

2. What is the dimension of a vector space?

The dimension of a vector space is the number of linearly independent vectors needed to span the entire space. In other words, it is the minimum number of vectors required to create any other vector in the space through linear combinations.

3. What does it mean for a vector space to intersect with a proper subset?

A proper subset of a vector space is a subset that does not contain all of the vectors in the original space. When a vector space intersects with a proper subset, it means that there are some vectors that are shared between the two sets, but the proper subset does not contain all of the vectors in the original space.

4. How does the dimension of a vector space intersect with a proper subset affect the span of the subset?

The dimension of a vector space intersecting with a proper subset determines the maximum number of linearly independent vectors that can be found in the subset. The span of the subset will be a subspace of the original vector space, and its dimension will be equal to or less than the dimension of the original space.

5. Can a proper subset of a vector space have the same dimension as the original space?

Yes, it is possible for a proper subset of a vector space to have the same dimension as the original space. This can occur when the subset contains all of the linearly independent vectors necessary to span the entire space. However, this is not always the case, and the dimension of a proper subset is typically less than the dimension of the original space.

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