Is W1\cap W2 a Vector Space if dim(W1)=1 and dim(W2)=2?

  • Thread starter transgalactic
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In summary, the conversation discusses the dimensions of two subspaces, W1 and W2, in a F^3 space and whether their intersection, W1\cap W2, is the zero vector space. It is possible for the intersection to not be the zero vector space if W2 includes W1, but if there are no other constraints, then the intersection can be the zero vector space. However, if we require that W1+W2 = F^3, then the intersection must be the zero vector space since one subspace cannot contain the other. The conversation also mentions the possibility of another subspace, W3, with dimension 1, and its relationship to W2 and W1.
  • #1
transgalactic
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there are two W1 and W2 of F^3 space
dim(W1)=1
dim(W2)=2

prove or desprove that:

[tex]W1\cap W2[/tex]={0} is the vector space
??

there could be a case where W2 includes W1 then there intersection is not the 0 space
correct??
 
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  • #2
If there are no other constraints on the problem then yeah.

Take a plane going through the origin and a line contained on that plane in R^3.

That seems like a silly problem though. Do you know anything else like

W1+W2 = W3 (direct sum?)
 
  • #3
can you give an actual example
??
 
  • #4
I am just saying your counterexample (or one like it) works as long as there are no other restrictions on the problem.

If we require that W1+W2 = F^3, then it is true, because one space cannot contain the other.
 
  • #5
if W2 include W1
and we have another subspace W3
which
dim W3=1
then dimW2+dimW3=3

what is the problem in that??
 
  • #6
Nothing, that's tenable.
 

1. What is a subspace?

A subspace is a subset of a vector space that is closed under addition and scalar multiplication. This means that if you add two vectors or multiply a vector by a scalar within a subspace, the result will also be within that subspace.

2. How is a subspace proved?

To prove that a set is a subspace, we must show that it satisfies the two properties of closure under addition and scalar multiplication. This can be done through direct proof or by showing that the set is a subset of a known subspace.

3. What makes a subspace different from a vector space?

A subspace is a subset of a vector space, but it must also satisfy the two properties of closure under addition and scalar multiplication. A vector space, on the other hand, can have any combination of vectors that follow the properties of vector addition and scalar multiplication.

4. Can a subspace have more than one dimension?

Yes, a subspace can have any number of dimensions as long as it satisfies the properties of closure under addition and scalar multiplication. For example, a line in three-dimensional space is a one-dimensional subspace, while a plane is a two-dimensional subspace.

5. How are subspaces used in real-world applications?

Subspaces are used in many areas of science and engineering, such as linear algebra, quantum mechanics, and signal processing. They allow us to simplify and analyze complex systems by breaking them down into smaller, more manageable subsets.

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