What is a subspace and a subset and how are they related?

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SUMMARY

A subset in linear algebra refers to any collection of vectors within a vector space R^n, while a subspace, or linear subspace, is a specific type of subset that meets three criteria: it contains the zero vector, is closed under vector addition, and is closed under scalar multiplication. The discussion clarifies that while all subspaces are subsets, not all subsets qualify as subspaces. For example, the set of vectors of the form (a,0) in R^2 constitutes a one-dimensional linear subspace, viewed independently as its own vector space.

PREREQUISITES
  • Understanding of vector spaces in linear algebra
  • Familiarity with the concepts of closure under addition and scalar multiplication
  • Knowledge of the zero vector and its significance in vector spaces
  • Basic comprehension of R^n notation and its implications
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  • Study the properties of vector spaces and their axioms
  • Explore examples of linear subspaces in R^n
  • Learn about the concept of basis and dimension in linear algebra
  • Investigate the relationship between subspaces and linear transformations
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Students of linear algebra, educators teaching vector space concepts, and anyone seeking to deepen their understanding of subsets and subspaces in mathematical contexts.

goomer
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I'm having a hard time understanding subspaces and subsets in linear algebra.

So what I'm getting is that a subset is any set of vectors in a plane R^n.

So a subspace is a set of vectors in a subspace?

http://postimage.org/image/6e2tl1c51/
http://postimage.org/image/6e2tl1c51/

^This is my thought process; correct me if I'm wrong.
 
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A subset of R^n is just some set of vectors of R^n, possibly all of R^n, possibly empty. A subspace in linear algebra, called a linear subspace, is this:

Theorem: Let V be a vector space over the field K, and let W be a subset of V. Then W is a subspace if and only if it satisfies the following three conditions:
The zero vector, 0, is in W.
If u and v are elements of W, then any linear combination of u and v is an element of W;
If u is an element of W and c is a scalar from K, then the scalar product cu is an element of W;

(taken from wikipedia)

Thus all subspaces are subsets but not all subsets are subspaces.
 
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I think the important part to take away from this is that subspaces can be regarded as vector spaces in the their own right, simply by ignoring the larger vector space they are embedded in. For instance consider R^2, this is all vectors of the form (a,b) for a,b in ℝ. Then all those vectors of the from (a,0) are a one-dimensional linear subspace of R^2, and by writing them as (a) we now are looking at this subspace as simply a vector space in its own right.
 
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