Proving Subspaces of R^m: Linear Combinations and Vector Forms

In summary, the two sets given are being tested for being subspaces of R^4. To show that they are subspaces, it is necessary to prove that they are closed under the operations of addition and scalar multiplication, and that they contain the zero vector. The first attempt at a solution is incorrect as it does not address these criteria.
  • #1
jeffreylze
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Homework Statement



Show that the following are subspaces of R^m :

(a) The set of all linear combinations of the vectors (1,0,1,0) and (0,1,0,1) (of R^4)
(b) The set of all vectors of the form (a,b,a-b,a+b) of R^4


Homework Equations





The Attempt at a Solution



(a) If (1,0,1,0) and (0,1,0,1) span R^4 , they are subspaces.

(b) {a(1,0,1,1) + b(0,1,-1,1) | a,b [tex]\in[/tex]R}
= span {(1,0,1,1) , (0,1,-1,1)}

Are my answers incomplete ?
 
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  • #2


To show its a subspace you need to show it is closed under the operation. What sort of space are we talking about here? Vector spaces?
 
  • #3


jeffreylze said:

Homework Statement



Show that the following are subspaces of R^m :

(a) The set of all linear combinations of the vectors (1,0,1,0) and (0,1,0,1) (of R^4)
(b) The set of all vectors of the form (a,b,a-b,a+b) of R^4


Homework Equations





The Attempt at a Solution



(a) If (1,0,1,0) and (0,1,0,1) span R^4 , they are subspaces.
Two vectors can't possibly span R^4, a vector space of dimension 4. Also, the vectors themselves aren't subspaces. You are supposed to show that the set of all linear combinations of these two vectors is a subspace of R^4. To do that show that:
  1. The zero vector in R^4 is in this set (i.e., the set of linear combinations of the two vectors).
  2. Any two vectors in this set is also in the set.
  3. Any scalar multiple of a vector in this set is also in this set.
jeffreylze said:
(b) {a(1,0,1,1) + b(0,1,-1,1) | a,b [tex]\in[/tex]R}
= span {(1,0,1,1) , (0,1,-1,1)}
See above.
jeffreylze said:
Are my answers incomplete ?
 

FAQ: Proving Subspaces of R^m: Linear Combinations and Vector Forms

What is a subspace?

A subspace is a subset of a vector space that also satisfies the properties of a vector space. It must contain the zero vector, be closed under addition and scalar multiplication, and must inherit the vector space operations from the larger vector space it is a part of.

How do you determine if a subset is a subspace?

To determine if a subset is a subspace, you must check if it satisfies the properties of a vector space. These include containing the zero vector, being closed under addition and scalar multiplication, and inheriting the vector space operations from the larger vector space.

What is the difference between a vector space and a subspace?

A vector space is a collection of vectors that satisfy certain properties, whereas a subspace is a subset of a vector space that also satisfies those same properties. In other words, a subspace is a smaller vector space contained within a larger vector space.

Can a subspace contain non-vectors?

No, a subspace must only contain vectors. This is because a subspace inherits the vector space operations from the larger vector space it is a part of, and these operations only apply to vectors.

How are subspaces useful in mathematics and science?

Subspaces are useful in mathematics and science because they allow us to simplify complex vector spaces by breaking them down into smaller, more manageable subsets. This allows for easier analysis and calculations. Subspaces also have important applications in fields such as linear algebra, physics, and computer science.

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