Is the Given Set of Vectors a Subspace?

In summary, the conversation discusses how to determine whether or not a given set of vectors is a subspace. The process involves checking if the zero vector is in the set, and then proving closure under addition and scalar multiplication. The conversation concludes that the given set is not a subspace because the zero vector is not possible to obtain through linear combinations of the vectors.
  • #1
Raddy13
30
0

Homework Statement


Determine whether or not the set of vectors:

[tex]\left\{\bar{x}=t
\left(
\begin{array}{cc}1\\2\\1\end{array}
\right)

+s\left(
\begin{array}{cc}1\\1\\1\end{array}
\right)

+\left(
\begin{array}{cc}1\\0\\2\end{array}
\right),-\infty < t,s < \infty
\right\}[/tex]

is a subspace.


I really have no idea how to go about this. Do I just check if they are linear combinations of each other?
 
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  • #2
What properties does a set of vectors have to have to be a subspace? Look it up and start checking the properties.
 
  • #3
1) If A belongs to W, and B belongs to W, then A+B belongs to W
2) If A belongs to W and r is in the space Rn, then rA belongs to W

I don't understand how this applies to the problem. How can apply property 1 for example if I don't know if A or B belongs to W to begin with?
 
  • #4
For the second property, you mean "r is in R", I think. That means if W is a vector space then 0*A=(0,0,0) is in the space. That's usually listed as one of the conditions. I would first try checking if (0,0,0) is in W. Is there any choice of s and t that will produce the vector (0,0,0)?
 
  • #5
No, because when you row-reduce the matrix all the columns are linearly independent, which means they can only equal zero if their coefficients are zero. Since vector three doesn't have a coefficient, they can never equal zero. Therefore, they are not a subspace.

Is my reasoning correct?
 
  • #6
Raddy13 said:
No, because when you row-reduce the matrix all the columns are linearly independent, which means they can only equal zero if their coefficients are zero. Since vector three doesn't have a coefficient, they can never equal zero. Therefore, they are not a subspace.

Is my reasoning correct?

Sure. If the zero vector isn't in your space, then it's not a subspace.
 
  • #7
But that is how I would go about solving it on a test? Just row reduce the vectors and determine whether or not a zero vector is possible?
 
  • #8
That's not the only thing. But it's a good starting point. Then you also have to prove the set has closure under addition, if a and b are in W then a+b is in W, and under scalar multiplication, a is in W then r*a is in W. Just what you said. But the zero vector is a good starting point. If zero isn't in the set, you can forget the other two.
 

FAQ: Is the Given Set of Vectors a Subspace?

What is a vector subspace?

A vector subspace is a subset of a vector space that contains vectors that satisfy two conditions: closure under vector addition and scalar multiplication. This means that if you add two vectors from the subspace, the resulting vector will also be in the subspace, and if you multiply a vector from the subspace by a scalar, the resulting vector will also be in the subspace.

How do you determine if a set of vectors forms a subspace?

To determine if a set of vectors forms a subspace, you need to check if the vectors satisfy the two conditions for closure under vector addition and scalar multiplication. This means that all the vectors in the set must be closed under vector addition and scalar multiplication, and the zero vector must be included in the set.

Can a subspace contain only one vector?

Yes, a subspace can contain only one vector as long as that vector is the zero vector. The zero vector is always a part of a subspace, and therefore a subspace can contain only one vector if that vector is the zero vector.

What is the significance of a subspace in linear algebra?

A subspace is significant in linear algebra because it allows us to break down a larger vector space into smaller, more manageable parts. This makes it easier to analyze and solve problems in linear algebra. Subspaces also have many applications in fields such as physics, engineering, and computer science.

Can a subspace be infinite?

Yes, a subspace can be infinite. For example, the set of all vectors in three-dimensional space that lie on a plane is an infinite subspace. As long as the two conditions for closure under vector addition and scalar multiplication are satisfied, a subspace can be finite or infinite.

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