Union of subspaces: proving a biconditional statement

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Homework Help Overview

The problem involves proving a biconditional statement regarding the union of two subspaces, ##W_1## and ##W_2##, of a vector space ##V##. The statement asserts that ##W_1 \cup W_2## is a subspace of ##V## if and only if one of the subspaces is contained within the other.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants discuss the implications of the closure properties of subspaces, particularly focusing on closure under addition and scalar multiplication. There is an exploration of the contrapositive of the biconditional statement and attempts to demonstrate the necessity of subset relationships.

Discussion Status

Some participants have provided guidance on considering the contrapositive approach, while others express uncertainty about how to apply closure properties effectively. The discussion reflects a range of interpretations and attempts to clarify the relationships between the subspaces.

Contextual Notes

Participants note challenges in demonstrating the closure of addition and scalar multiplication, as well as the implications of the zero element being common to both subspaces. There is an acknowledgment of the need for more concrete examples or intuitive understanding to aid in the proof.

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Homework Statement



Let ##W_1## and ##W_2## be subspaces of a vector space ##V##. Prove that ##W_1 \cup W_2## is a subspace of ##V## if and only if ##W_1 \subseteq W_2## or ##W_2 \subseteq W_1##.

Homework Equations



A subset ##W## of a vector space ##V## is a subspace of ##V## provided that (a) ##W## is closed under addition, (b) ##W## is closed under scalar multiplication for all ##c \in F##, and (c) the zero element of ##V## is the zero element of ##W##.

The problem statement is biconditional. Therefore, we need to show both ##P \Rightarrow Q## and ##Q \Rightarrow P##.

The Attempt at a Solution



Demonstration that ##Q \Rightarrow P##. Let ##W_1## and ##W_2## be subspaces of ##V##. Consider ##W_1 \subseteq W_2## (or ##W_2 \subseteq W_1##). If ##W_1 \subseteq W_2##, then ##W_1 \cup W_2 = W_2##. Since ##W_2## is a subspace, ##W_1 \cup W_2## is a subspace by equality. A similar argument can be presented for ##W_2 \subseteq W_1 = W_1##. Therefore, if ##W_1 \subseteq W_2## or ##W_2 \subseteq W_1##, then ##W_1 \cup W_2## is a subspace of ##V##.

Incomplete demonstration ##P \Rightarrow Q##. Let ##W_1## and ##W_2## be subspaces of ##V##. Suppose ##W_1 \cup W_2## is a subspace of ##V##. By definition of subspaces, ##W_1## and ##W_2## contain the same zero element from ##V##. Therefore, ##W_1 \cap W_2 \neq \varnothing##: this means that the sets are not disjoint.

By definition of subspaces, scalar multiplication is closed. There exists ##c(x_1) \in W_1 \cup W_2## for every ##x_1 \in W_1 \cup W_2## and ##c \in F##. (...)

I'm not really certain how to develop this last part. I chose to work with the condition of scalar multiplication because ##c \in F## has to be the same in each subspace. I attached a picture of the situation I have. I need to show that only the subset situation follows.

Thanks
 

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You've tried to combine the zero element with closure of scalar multiplication but have succeeded. But have you tried closure of addition?
 
I did not succeed with the closure of scalar multiplication. I need to show that one set must be a subset of the other.

I don't see how the closure of addition helps. If I take two elements from the joined sets then their addition has to be within the joined set. The only thing I know definitively is that the zero element is in both the sets. If I had a second element that was in both sets, then I could do a lot more with addition. Yet, I don't see how P leads me to that conclusion.

I also tried a proof by contradiction, but that also gets me into this same situation.
 
Try the contrapositive of P \implies Q: \neg Q \implies \neg P.

Suppose W_1 and W_2 are not subsets of each other, so that both W_1 \setminus (W_1 \cap W_2) and W_2 \setminus (W_1 \cap W_2) are non-empty. Let x_1 \in W_1 \setminus (W_1 \cap W_2) and x_2 \in W_2 \setminus (W_1 \cap W_2) and consider x_1 + x_2 = z \in W.
 
I think this is still the same problem I'm having with my other methods.

Here ##\neg P## would be "##W_1 \cup W_2## is not a subspace of V". I don't see how ##x_1 + x_2 = z \in W## presents a problem with the closure of addition on ##W_1 \cup W_2##.

So, whatever I'm not seeing in this, is the same issue I'm not seeing in the other methods I've been trying.
 
For intuition it's better to think of subspaces of ##R^3## (lines, plans through the origin) than the sketch you draw
 
pasmith said:
Try the contrapositive of P \implies Q: \neg Q \implies \neg P.

Suppose W_1 and W_2 are not subsets of each other, so that both W_1 \setminus (W_1 \cap W_2) and W_2 \setminus (W_1 \cap W_2) are non-empty. Let x_1 \in W_1 \setminus (W_1 \cap W_2) and x_2 \in W_2 \setminus (W_1 \cap W_2) and consider x_1 + x_2 = z \in W.

Continue from this. ##x_1,x_2 \in W_1 \cup W_2## but does ##x_1 + x_2 \in W_1 \cup W_2##? What would that mean? Can you reach a contradiction?
 
thelema418 said:
I think this is still the same problem I'm having with my other methods.

Here ##\neg P## would be "##W_1 \cup W_2## is not a subspace of V". I don't see how ##x_1 + x_2 = z \in W## presents a problem with the closure of addition on ##W_1 \cup W_2##.

So, whatever I'm not seeing in this, is the same issue I'm not seeing in the other methods I've been trying.

If z \in W_1 \cup W_2 then z \in W_1 or z \in W_2. Is either of those possible, bearing in mind that if two vectors are members of a subspace then so is their difference?
 
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So... something like this: Showing ##\neg Q \Rightarrow \neg P##. Suppose that the subspaces ##W_1## and ##W_2## are not subsets of each other. Let ##x_1 \in W_1## with ##x_1 \notin W_2##, and let ##x_2 \in W_2## with ##x_2 \notin W_1##. (Observe that ##x_1 \neq 0## and ##x_2 \neq 0##.) By definition of a subspace, addition must be closed for all elements of the set. Then ##x_1 + x_2 = z \in W_1 \cup W_2##. This means that ##z## must be a member of ##W_1## or ##W_2## (or both).

Consider the case where ##z \in W_1##. By definition of a vector space, ##x_1## has an additive inverse, denoted ##-x_1##, and this is also an element of ##W_1 \cup W_2##. Then ## -x_1 + z \in W_1##. However, ##-x_1 + z = -x_1 + (x_1 + x_2) = (-x_1 + x_1) + x_2 = 0 + x_2 = x_2 \notin W_1##.

Now consider the case where ##z \in W_2##. By definition of a vector space, ##x_2## has an additive inverse, denoted ##-x_2##, and this is also an element of ##W_1 \cup W_2##. Then ## -x_2 + z \in W_2##. However, ##z + -x_2 = (x_1 + x_2)+ -x_2 = x_1 + (x_2 + -x_2)= x_1 + 0 = x_1 \notin W_2##.

Consequently, addition is not closed, and ##W_1 \cup W_2## is not a subspace of ##V##.
 

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