Subspace vs Subset: Understanding the Relationship

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In summary, a subspace of a vector space must be a subset of the vector space and have the inherited addition and scalar multiplication operations.
  • #1
Max.Planck
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Hi,

A quick question:
Does a set need to be a subset to be a subspace of some vector space?
 
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  • #2
Max.Planck said:
Hi,

A quick question:
Does a set need to be a subset to be a subspace of some vector space?

Yes, a subspace of a vector space V necessarily needs to be a subset.
 
  • #3
A vector space is a set of objects with "addition" and "scalar multiplication" defined. A "subspace" is a subset with the "inherited" addition and scalar multiplication.
 
  • #4
HallsofIvy said:
A vector space is a set of objects with "addition" and "scalar multiplication" defined. A "subspace" is a subset with the "inherited" addition and scalar multiplication.

Thank you!
 
  • #5


The relationship between subspace and subset can be a bit confusing, but it is an important concept to understand in mathematics and science. To answer your question, a set does not necessarily need to be a subset to be a subspace of a vector space.

A subset is simply a collection of elements that are contained within a larger set. For example, the set {1,2,3} is a subset of the set of natural numbers {1,2,3,4,5...}. In this case, all of the elements in the subset are also elements of the larger set.

On the other hand, a subspace is a subset of a vector space that also satisfies certain properties. These properties include being closed under scalar multiplication and vector addition. This means that if you take any element from the subspace and multiply it by a scalar or add it to another element in the subspace, the result will still be within the subspace.

So, while a subspace is technically a subset, it is a special type of subset that has additional properties. This means that not all subsets are subspaces, but all subspaces are subsets.

I hope this helps clarify the relationship between subspace and subset. It is an important distinction to understand in order to effectively work with vector spaces and their subspaces in scientific research and applications.
 

1. What is subspace?

Subspace refers to a subset of a vector space that also satisfies the properties of a vector space. This means that it contains a zero vector, is closed under vector addition and scalar multiplication, and is non-empty.

2. How is a subspace different from a subset?

A subset is a collection of elements from a set, while a subspace must also satisfy the properties of a vector space. In other words, all subspaces are subsets, but not all subsets are subspaces.

3. Can a subspace contain a zero vector?

Yes, a subspace must contain a zero vector in order to satisfy the properties of a vector space. The zero vector is the additive identity element in a vector space and is necessary for closure under vector addition.

4. How can you determine if a subset is also a subspace?

To determine if a subset is also a subspace, you must check if it satisfies the properties of a vector space. This includes checking for the presence of a zero vector, closure under vector addition and scalar multiplication, and non-emptyness.

5. Can a subspace have more than one basis?

Yes, a subspace can have multiple bases. A basis is a set of linearly independent vectors that span a vector space. Since a subspace is a vector space, it can have more than one set of linearly independent vectors that span it.

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