Exploring Subspaces and Dimension in Z_2^3

In summary, the conversation is about how to determine the number of subspaces of each dimension in Z_2^3. There is a duality between subspaces of dimension k and n-k, so one only needs to count the number of one dimensional subspaces. It is mentioned that there is one subspace of dimension zero and three, and 7 subspaces each of dimension one and two. The question is how to approach finding these subspaces and someone suggests using trial and error. However, it is noted that there is likely a concept being tested that is not immediately apparent. The conversation ends with someone clarifying the number of subspaces for each dimension and thanking for the help.
  • #1
Benny
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Hi, I'm wondering how I would decide how many "subspaces of each dimension [tex]Z_2^3 [/tex] has." The answer is: 1 subspace with dim = 0, 7 with dim = 1, 7 with dim = 2, 1 with dim = 3.

I'm looking for subsets of [tex]Z_2^3 [/tex] which are closed under addition and scalar multiplication. An arbitrary vector in [tex]Z_2^3 [/tex] is (a,b,c) where [tex]a,b,c \in Z_2 [/tex]. I can't think of a general way to do this, trial and error is a possibility and quite time consuming. So I think that there is some concept being tested which I'm not seeing.

Any set consisting of a single vector with the zero vector in Z_2 would be a subspace since it would be closed under addition. But what about sets with 3 or more elements. I'm not sure how to approach this question. Can someone please help me out?
 
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  • #2
Obviously, there is only one subspace of dimension one and three:
In general, one has a duality between subspaces of dimension k and n-k. So, you only need to count the number of one dimensional subspaces. There are 2^(3) - 1 = 7 nonzero vectors and they are all linearly independent.
 
  • #3
Obviously "Careful" meant to say "there is only one subspace of dimension zero and three".


Be careful, Careful!
 
  • #4
Hmm, ok thanks for your help.
 

FAQ: Exploring Subspaces and Dimension in Z_2^3

What is a subspace?

A subspace is a subset of a vector space that satisfies three conditions: it contains the zero vector, it is closed under vector addition, and it is closed under scalar multiplication. Essentially, it is a smaller space that exists within a larger vector space.

How is the dimension of a subspace determined?

The dimension of a subspace is determined by the number of linearly independent vectors that span the subspace. This means that no vector in the subspace can be written as a linear combination of the other vectors in the subspace.

What is the relationship between subspaces and bases?

A basis for a vector space is a set of linearly independent vectors that span the entire vector space. Similarly, a basis for a subspace is a set of linearly independent vectors that span the subspace. This means that the dimension of a subspace is equal to the number of vectors in its basis.

Can a subspace have a dimension greater than the dimension of its parent vector space?

No, the dimension of a subspace must be less than or equal to the dimension of its parent vector space. This is because the subspace is a smaller space that exists within the larger vector space, so it cannot have more dimensions than the space it is contained in.

How can linear transformations be used to determine the dimension of a subspace?

A linear transformation is a function that maps vectors from one vector space to another. The dimension of the image (or range) of the linear transformation is equal to the dimension of the subspace it maps to. Therefore, by applying a linear transformation to a subspace and determining the dimension of the resulting image, we can determine the dimension of the subspace.

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