Linear Algebra: Subspace Sum: What is U + U?

Click For Summary

Homework Help Overview

The discussion revolves around the concept of subspace sums in linear algebra, specifically exploring the expression U + U where U is a subspace of a vector space V. Participants are examining definitions and properties related to subspace sums.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss two definitions of subspace sums and consider specific examples to illustrate their points. There is an exploration of whether U + U can be simplified to U, and how this relates to the definitions provided. Questions arise about the correctness of applying the definitions and the implications of subspace properties, such as closure under addition and linear combinations.

Discussion Status

The discussion is active, with participants providing insights and corrections regarding the definitions and properties of subspaces. Some participants express confidence in the conclusion that U + U = U, while others emphasize the need for formal proofs and clarifications on the definitions used.

Contextual Notes

Participants are navigating through definitions and properties of subspaces, with an emphasis on ensuring clarity and correctness in their reasoning. There is an acknowledgment of the need to prove certain properties, such as closure under addition and linear combinations, which are fundamental to the discussion.

tylerc1991
Messages
158
Reaction score
0

Homework Statement



Suppose U is a subspace of V. What is U + U?

Homework Equations



There are two definitions of a subspace sum that I know of (the first is the definition given in my book):
(1) U_1 + U_2 = \{ u_1 + u_2 : u_1 \in U_1, u_2 \in U_2 \}
(2) U_1 + U_2 = \text{ span} ( U_1 \, \bigcup \, U_2)

The Attempt at a Solution



Before I tried to solve the general problem, I thought about a specific example. Suppose that U = \{ (x,y) \in \mathbb{R}^2 : y = x \} \subseteq \mathbb{R}^2. Now U + U = U. So I should expect the same answer in general.

Using the first definition of a subspace sum:
U + U = \{ u + u : u \in U \} = \{ 2u : u \in U \}

Using the second definition of a subspace sum:
U + U = \text{ span} (U \, \bigcup \, U) = \text{ span}(U) = \{ au : a \in \mathbb{F}, u \in U \}.

While these are very similar(one is a special case of the other), I am leaning towards the second answer. That being said, how could I have come up with the second answer using the first definition of a subspace sum?
 
Physics news on Phys.org
Hi tylerc! :smile:

tylerc1991 said:

Homework Statement



Suppose U is a subspace of V. What is U + U?

Homework Equations



There are two definitions of a subspace sum that I know of (the first is the definition given in my book):
(1) U_1 + U_2 = \{ u_1 + u_2 : u_1 \in U_1, u_2 \in U_2 \}
(2) U_1 + U_2 = \text{ span} ( U_1 \, \bigcup \, U_2)

The Attempt at a Solution



Before I tried to solve the general problem, I thought about a specific example. Suppose that U = \{ (x,y) \in \mathbb{R}^2 : y = x \} \subseteq \mathbb{R}^2. Now U + U = U. So I should expect the same answer in general.

Yes, U+U=U holds in general!

Using the first definition of a subspace sum:
U + U = \{ u + u : u \in U \} = \{ 2u : u \in U \}

You have used the first definition incorrectly here. It should be

U+U=\{u+v~\vert~u,v\in U\}

Now, you must prove that this is contained in U. Hint: U is a subspace and hence closed under addition.

Using the second definition of a subspace sum:
U + U = \text{ span} (U \, \bigcup \, U) = \text{ span}(U) = \{ au : a \in \mathbb{F}, u \in U \}.

Isn't it easy to see that span(U)=U because U is a subspace? Try to prove it otherwise.
By the way, your definition of span is also not correct (well, it is in this case, but whatever). In general, the span of X is

span(X)=\{\alpha_1x_1+...+\alpha_nx_n~\vert~i\in \mathbb{N}_0, \alpha_i\in \mathbb{F}, x_i\in X\}

If you don't know the thing I mentioned before (if X is a subspace, then span(X)=X), try to prove it. Hint: a subspace is closed under linear combinations...
 
micromass said:
U+U=\{u+v~\vert~u,v\in U\}

I see. So, since u + v \in U for any u,v \in U, \{ u + v : u,v \in U \} = \{ u : u \in U \}? And hence U + U = U?

micromass said:
span(X)=\{\alpha_1x_1+...+\alpha_nx_n~\vert~i\in \mathbb{N}_0, \alpha_i\in \mathbb{F}, x_i\in X\}

I am guessing this would be shown similar to above, only this way is more general. Formal proofs aside, I can definitely see that subspaces are closed under linear combinations. So \{ a_1u_1 + a_2u_2 + \dots + a_nu_n : n \in \mathbb{N}, a_n \in \mathbb{F}, u_n \in U \} = \{ u : u \in U \}?
 
tylerc1991 said:
I see. So, since u + v \in U for any u,v \in U, \{ u + v : u,v \in U \} = \{ u : u \in U \}? And hence U + U = U?



I am guessing this would be shown similar to above, only this way is more general. Formal proofs aside, I can definitely see that subspaces are closed under linear combinations. So \{ a_1u_1 + a_2u_2 + \dots + a_nu_n : n \in \mathbb{N}, a_n \in \mathbb{F}, u_n \in U \} = \{ u : u \in U \}?

Yes, that is correct. I may complain however that you've only proved

\{ u + v : u,v \in U \} \subseteq \{ u : u \in U \}

You still may want to show that every u can be written in the form u+v. But this is quite easy, and you probably knew it already. But I just wanted to make it clear...
 
micromass said:
Yes, that is correct. I may complain however that you've only proved

\{ u + v : u,v \in U \} \subseteq \{ u : u \in U \}

You still may want to show that every u can be written in the form u+v. But this is quite easy, and you probably knew it already. But I just wanted to make it clear...

Got it! I will definitely formalize it when I am writing the final answer. Thank you very much for your help!
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
8
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K