Prove that ℝ has no subspaces except ℝ and {0}.

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In summary: Since 1 is in your 'sunspace' the k*1 should be in it for all real k. That's the scalar product. True or false?True.
  • #1
MDolphins
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Prove that ℝ has no subspaces except ℝ and {0}.
 
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  • #2
What have you tried?
 
  • #3
Ive tried using a nontrivial subspace of R and showing that it equals R but I am having touhg time doing that
 
  • #4
Ok that's a good way to do it. Let's call this non-zero subspace [itex]V[/itex] and let [itex]v\in V[/itex] be a non-zero vector. Can you think of a property of vector spaces that we can use here to give us a critical result?
 
  • #5
Assuming we are dealing in the realm of undergraduate linear algebra...

Continuing on what WannabeNewton said, think about why [itex]\mathbb{R}[/itex] is a subspace of itself, and then consider some nonempty set that is not [itex]\mathbb{R}[/itex] or the set consisting of just [itex]0[/itex].

Recall that a nonempty set is a subspace of another set if and only if it is a subset of it and it is closed under both addition and "scalar" multiplication.
 
  • #6
would i use contradiction
 
  • #7
Well, if we were to look at a subspace that is not in ℝ, it would not be closed under the same addition or multiplication that is in ℝ. And additionally, from the theorem "if a subset S of a vector space V does not contain the zero vector 0 of V, then S is not a subspace of V". From this, the 0 vector of the ℝ is the set 0 itself. THerefore, the subspace must be ℝ and {0}.

DOes this seem right?
 
  • #8
MDolphins said:
Would you use the property that a W is a subspace of V if and only if W is closed under vector addition and scalar mulitplication in V?

Yes.

So you have a nontrivial vector space ##V\subseteq \mathbb{R}##. You have a nonzero vector ##v##.

You wish to prove somehow that ##V=\mathbb{R}##. So given any ##w\in \mathbb{R}##, you wish to prove that ##w\in V##.
 
  • #9
MDolphins said:
Well, if we were to look at a subspace that is not in ℝ, it would not be closed under the same addition or multiplication that is in ℝ. And additionally, from the theorem "if a subset S of a vector space V does not contain the zero vector 0 of V, then S is not a subspace of V". From this, the 0 vector of the ℝ is the set 0 itself. THerefore, the subspace must be ℝ and {0}.

DOes this seem right?

No, this is completely incorrect. I would wish I could tell you what was wrong, but I don't understand your proof at all.
 
  • #10
So to show that w is in the vector space V, would I assume that it is not. Then, go on to show that if it is not it is not a part of the real numbers. However, under the assumption I said w is apart of the real numebrs, therefore a contradiciton.
 
  • #11
You don't need contradiction here mate. Did you try what I said? Let me be a bit more direct: let ##V\subseteq \mathbb{R}## be a non zero subspace of ##\mathbb{R}## over the field ##\mathbb{R}## (This is crucial! I'm assuming your assignment was to prove this assuming the field was ##\mathbb{R}## correct?). Let ##v\in V## be non zero. Remember that ##v## is still technically a non zero real number. How can you use the closure of a vector space under scalar multiplication to help you finish the proof?
 
  • #12
Well, the closure property holds for v, because since v is a part of the reals, any real number times v will still be apart of the reals. Therefore, the only subspace of the reals are the reals and {0}?
 
  • #13
MDolphins said:
Well, the closure property holds for v, because since v is a part of the reals, any real number times v will still be apart of the reals. Therefore, the only subspace of the reals are the reals and {0}?

Could you expand more? Why does the "therefore" hold??

For example, can you tell me why ##(-2,2)## is not a subspace of ##\mathbb{R}##?
 
  • #14
I'm confused as to why (-2,2) is not a subspace. I am lost.
 
  • #15
Is (-2,2) not a sunspace because all the scalers are of the natural numbers?
 
  • #16
MDolphins said:
Is (-2,2) not a sunspace because all the scalers are of the natural numbers?

You are talking gibberish. The scalars are all real numbers. Since 1 is in your 'sunspace' the k*1 should be in it for all real k. That's the scalar product. True or false?
 
  • #17
True
 
  • #18
MDolphins said:
True

Explain why you think so. If k=3 then 3*1=3. 3 is not in (-2,2), is it?
 
  • #19
No 3 is not. The sunspace (-2,2) does not contain all of the real numbers of R. For example 3.
 
  • #20
MDolphins said:
No 3 is not. The sunspace (-2,2) does not contain all of the real numbers of R. For example 3.

I hope you are saying that (-2,2) is not a subspace, and I hope you know why. Can you explain why? Don't just say "it doesn't contain all real numbers". Give a good reason why a subspace that's not {0} would have to.
 
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  • #21
It is not a sunspace because it is not closed under multiplication.
 
  • #22
MDolphins said:
It is not a sunspace because it is not closed under multiplication.

I'd go back to saying 'subspace' instead of 'sunspace'. But yes, a subspace would need to be closed under scalar multiplication, which means you should be able to take any element of the subspace and multiply by any real and get an element of the subspace. (-2,2) doesn't work.
 
  • #23
So going back to the proof, the real numbers and 0 are the only subspaces of R bc they seethe only sets that hold under. Scalar multiplication.
 
  • #24
MDolphins said:
So going back to the proof, the real numbers and 0 are the only subspaces of R bc they seethe only sets that hold under. Scalar multiplication.

Yes, if a set contains any nonzero number then it must contain all real numbers.
 

1. What is ℝ?

ℝ, also known as the set of real numbers, is the set of all numbers that can be represented on a number line. It includes all rational and irrational numbers.

2. What is a subspace?

A subspace is a subset of a vector space that is closed under addition and scalar multiplication. In simpler terms, it is a smaller set that still follows the rules of a larger set.

3. Why is it important to prove that ℝ has no subspaces except ℝ and {0}?

Proving this statement helps us understand the structure of ℝ and its subspaces. It also helps us identify and differentiate between different types of vector spaces and their properties.

4. How can we prove that ℝ has no subspaces except ℝ and {0}?

This can be proved by showing that any other subset of ℝ does not meet the criteria of a subspace, specifically it is not closed under addition and scalar multiplication.

5. What are the implications of this proof?

The proof that ℝ has no subspaces except ℝ and {0} tells us that ℝ is a simple and complete vector space with no proper subspaces. This has implications in fields such as linear algebra and functional analysis.

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