Determining if a set is a subspace.

In summary, the conversation discusses how to determine if a set is a subspace, using the example of a subset of {R}^{3} consisting of vectors of the form \left[\begin{array}{c}a \\ 0 \\ b \end{array}\right]. The three steps to determine if a set is a subspace are mentioned: containing a zero vector, closed under addition, and closed under scalar multiplication. The conversation continues to discuss how to apply these steps and clarifies that the zero vector is \left [ \begin{matrix} 0 \\ 0 \\ 0 \end{matrix} \right ] and is a member of the proposed subspace.
  • #1
AngrySnorlax
4
0
Hey there guys, its AngrySnorlax here again with another problem. I posted here before when I was having an issue and the responses I got were extremely helpful because there was a specific step that I just could not grasp that was explained to me and I am hoping that is the same situation here with these problems.

I am trying to determine how to tell if a set is a subspace. The problem reads like this:
Determine if the described set is a subspace. If so, give a proof. If not, explain why not. Unless stated otherwise, a, b, and c are real numbers.

The subset of {R}^{3} consisting of vectors of the form
\(\displaystyle \left[\begin{array}{c}a \\ 0 \\ b \end{array}\right]\)

The answer at the back of the book reads this:
This is a subspace, equal to span
\(\displaystyle \left[\begin{array}{c}1 \\ 0 \\ 0 \end{array}\right]\)\(\displaystyle \left[\begin{array}{c}0 \\ 0 \\ 1 \end{array}\right]\)

Now I am aware that there are three steps, but I am not entirely sure on how to use these steps.

1) S must contain a 0 vector.
2) If u and v are in S, then u+v is also in S.
3) If r is a real number and u is in S, the ru is also in S.

I am totally lost in applying these steps! I have an idea on how to apply the first one, but even still I don't feel confident in how I am applying it. So once again, I would be eternally grateful for any help :)
 
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  • #2
AngrySnorlax said:
Hey there guys, its AngrySnorlax here again with another problem. I posted here before when I was having an issue and the responses I got were extremely helpful because there was a specific step that I just could not grasp that was explained to me and I am hoping that is the same situation here with these problems.

I am trying to determine how to tell if a set is a subspace. The problem reads like this:
Determine if the described set is a subspace. If so, give a proof. If not, explain why not. Unless stated otherwise, a, b, and c are real numbers.

The subset of {R}^{3} consisting of vectors of the form
\(\displaystyle \left[\begin{array}{c}a \\ 0 \\ b \end{array}\right]\)

The answer at the back of the book reads this:
This is a subspace, equal to span
\(\displaystyle \left[\begin{array}{c}1 \\ 0 \\ 0 \end{array}\right]\)\(\displaystyle \left[\begin{array}{c}0 \\ 0 \\ 1 \end{array}\right]\)

Now I am aware that there are three steps, but I am not entirely sure on how to use these steps.

1) S must contain a 0 vector.
2) If u and v are in S, then u+v is also in S.
3) If r is a real number and u is in S, the ru is also in S.

I am totally lost in applying these steps! I have an idea on how to apply the first one, but even still I don't feel confident in how I am applying it. So once again, I would be eternally grateful for any help :)
1) Is there an a, b such that \(\displaystyle \left[\begin{array}{c}a \\ 0 \\ b \end{array}\right] = \left[\begin{array}{c}0 \\ 0 \\ 0 \end{array}\right]\)

2) Let \(\displaystyle u = \left[\begin{array}{c}c \\ 0 \\ d \end{array}\right] \) and \(\displaystyle v = \left[\begin{array}{c}e \\ 0 \\ f \end{array}\right] \). Is u + v in the form \(\displaystyle \left[\begin{array}{c}a \\ 0 \\ b \end{array}\right] \)?

3) I'll let you figure this out from here. Let us know if you still have troubles.

-Dan
 
  • #3
I still don't get it. I think I may be over thinking it or I just haven't found the right way to think about it yet.
 
  • #4
AngrySnorlax said:
I still don't get it. I think I may be over thinking it or I just haven't found the right way to think about it yet.
What are you not getting? Without knowing we are simply guessing as to how to help.

Do you understand that the zero vector is \(\displaystyle \left [ \begin{matrix} 0 \\ 0 \\ 0 \end{matrix} \right ] \)? Do you understand that this is expressible as \(\displaystyle \left [ \begin{matrix} a \\ 0 \\ b \end{matrix} \right ] \) for a = b = 0, and is thus a member of the proposed subspace?

-Dan
 
  • #5
AngrySnorlax said:
Hey there guys, its AngrySnorlax here again with another problem. I posted here before when I was having an issue and the responses I got were extremely helpful because there was a specific step that I just could not grasp that was explained to me and I am hoping that is the same situation here with these problems.

I am trying to determine how to tell if a set is a subspace. The problem reads like this:
Determine if the described set is a subspace. If so, give a proof. If not, explain why not. Unless stated otherwise, a, b, and c are real numbers.

The subset of {R}^{3} consisting of vectors of the form
\(\displaystyle \left[\begin{array}{c}a \\ 0 \\ b \end{array}\right]\)

The answer at the back of the book reads this:
This is a subspace, equal to span
\(\displaystyle \left[\begin{array}{c}1 \\ 0 \\ 0 \end{array}\right]\)\(\displaystyle \left[\begin{array}{c}0 \\ 0 \\ 1 \end{array}\right]\)

Now I am aware that there are three steps, but I am not entirely sure on how to use these steps.

1) S must contain a 0 vector.
2) If u and v are in S, then u+v is also in S.
3) If r is a real number and u is in S, the ru is also in S.

I am totally lost in applying these steps! I have an idea on how to apply the first one, but even still I don't feel confident in how I am applying it. So once again, I would be eternally grateful for any help :)

The condition (1) may be replaced by $S \neq \emptyset$, because then, given:

$u \in S$, condition (3) implies $-u = (-1)u \in S$, and condition (2) implies that since $u,-u \in S$, so is $u + -u = 0$.

This is worth remembering, and it is clear your set is non-empty, so we really needn't worry overmuch about the 0-vector. Of course, it is fairly clear taking $a = b = 0$, that:

$\begin{bmatrix}0\\0\\0\end{bmatrix}$ is of the form $\begin{bmatrix}a\\0\\b\end{bmatrix}$.

The two closure conditions (2) and (3) are far more important. Here is how you would verify (2):

Let $u = \begin{bmatrix}a\\0\\b\end{bmatrix}$ and $v = \begin{bmatrix}a'\\0\\b'\end{bmatrix}$.

Then $u + v = \begin{bmatrix}a\\0\\b\end{bmatrix} + \begin{bmatrix}a'\\0\\b'\end{bmatrix} = \begin{bmatrix}a+a'\\0\\b+b'\end{bmatrix}$

and clearly $a+a',b+b'$ are real numbers if $a,a',b,b'$ are.

Intuitively, what we mean by $S$, here, is "all 3-vectors with 2nd coordinate zero". Said this way, it is obvious the 0-vector has second coordinate zero (ALL its coordinates are zero, including the second one), and that adding two vectors with second coordinate zero, still leaves the second coordinate zero (because we add "coordinate-to-coordinate"), and that multiplying such a vector by any scalar STILL leaves the second coordinate zero (if our scalar is $r$, the second coordinate will be $r\cdot 0 = 0$).
 

FAQ: Determining if a set is a subspace.

What is a subspace?

A subspace is a subset of a vector space that satisfies certain properties, such as being closed under addition and scalar multiplication.

How do you determine if a set is a subspace?

To determine if a set is a subspace, you need to check if it satisfies the three properties: closure under addition, closure under scalar multiplication, and containing the zero vector.

What does it mean for a set to be closed under addition?

A set is closed under addition if when you add any two vectors in the set, the result is also in the set.

Can a set be a subspace if it doesn't contain the zero vector?

No, a set must contain the zero vector to be a subspace. This is because the zero vector is necessary for closure under addition and scalar multiplication.

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

A vector space is a set of vectors that satisfies certain properties, while a subspace is a subset of a vector space that also satisfies those properties. In other words, a subspace is a smaller vector space contained within a larger one.

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