How Do Subspaces and Orthogonality Relate in Linear Algebra?

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Discussion Overview

The discussion centers around the relationship between subspaces and orthogonality in linear algebra, specifically focusing on the properties of the orthogonal complement of a subspace. Participants are exploring theoretical aspects related to proving that a certain set of vectors forms a subspace and the conditions under which a vector is orthogonal to a basis of that subspace.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant suggests that WW, the set of vectors orthogonal to all vectors in W, might be a subspace of Rn because it could be a linear combination of vectors in W.
  • Another participant outlines the criteria for a subset to be a subspace, emphasizing closure under scaling and linear combinations, and mentions the importance of the inner product properties.
  • A different participant attempts to prove that WW is a subspace by stating it contains the zero vector and discussing closure under vector addition and scalar multiplication, but expresses uncertainty about the clarity of their proof.
  • Concerns are raised by another participant regarding the proof's rigor, questioning how closure under addition and scalar multiplication is established and suggesting that the argument needs to be more clearly articulated.
  • For the second part of the problem, one participant notes their confusion about how to demonstrate that a vector is orthogonal to all vectors in W based on its orthogonality to the basis vectors.

Areas of Agreement / Disagreement

Participants express varying levels of understanding and confidence regarding the proofs and concepts discussed. There is no consensus on the clarity or correctness of the arguments presented, particularly concerning the proof of WW being a subspace and the conditions for orthogonality.

Contextual Notes

Some participants indicate missing clarity in their arguments, particularly regarding the definitions and properties necessary to establish closure under addition and scalar multiplication. There are also unresolved questions about how to effectively demonstrate orthogonality to all vectors in W based on the basis vectors.

kdieffen
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Ok so I've been working on this problem and I'm really having some struggles grasping it. Here it is:

Let W be some subspace of Rn, let WW consist of those vectors in Rn that are orthognoal to all vectors in W.

1) Show that WW is a subspace of Rn?

So for this part I'm thinking that because WW is a linear combination of W (maybe) then therefore it forms a subspace of Rn

2) If {v1, v2,...vt} is a basis for W, show that a vector X in Rn lies in WW if and only if x is orthogonal to each of the vectors v1, v2,...vt?

And for this one I'm really at a lose for where to start. Any help would be appreciated.

Thanks
 
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What have you tried, so far.?

Basically, in order to show that any subset S of a vector space V is a subspace,

is to show that elements of S are closed under scaling and under linear combinations;

in this case, show that if w^ and w'^ are in W^ =(" W Perp" ) , so is their sum,

and for any w^, cw^ (c a scalar) is also in W^. The key here is the properties

of the inner-product.



For 2, one side follows by definition. For the other side ( w^ is perpendicular

to each of v1,..,vt ) , think of writing any x in W using the elements of v1,..,vt,

and, again, use the properties of the inner-product (multilinearity).

Good Luck.
 
1) Well I understand the definition of a subspace, i think I am just finding it difficult to fully understand the proof. Would it be correct to say then that:

WW is a subspace of Rn because
i) It contains the zero vector
ii) WW= {v1', v2',...vt'}

Let x, y span (WW)
x=av1' + av2' + avt'
y=bv1' + bv2' + bvt'

Therefore (x+y)=(a1+b1)v1' + (a2+b2)v2' + ...(at + bt)vt' and is closed under vector addition.

iii) Let x span (WW)

Then x= a1v1' + a2v2' + atvt' for some a1, a2,...at
Then kx=ka1v1' + ka2v2' + katvt'

Therefore it is closed under scalar multiplication. Since it satisfies all three, it is a subspace of Rn.

So that's what I have for part 1

And for part 2 I'm still lost lol

2)
 
"" 1) Well I understand the definition of a subspace, i think I am just finding it difficult to fully understand the proof. Would it be correct to say then that:

WW is a subspace of Rn because
i) It contains the zero vector
ii) WW= {v1', v2',...vt'}

Let x, y span (WW)
x=av1' + av2' + avt'
y=bv1' + bv2' + bvt'

Therefore (x+y)=(a1+b1)v1' + (a2+b2)v2' + ...(at + bt)vt' and is closed under vector addition. ""


I don't see how you have shown it is closed. How do you know that x+y is in W^.?



iii) Let x span (WW)

What do you mean here.?. How do you know that a single vector x spans WW.?.
I think (reading below ) you mean: let x be a vector in WW. Right.?

Then x= a1v1' + a2v2' + atvt' for some a1, a2,...at
Then kx=ka1v1' + ka2v2' + katvt'

Therefore it is closed under scalar multiplication.

Not clear to me. How do you know kx is in WW.? You need to check this, or give a good
argument to that effect.

Since it satisfies all three, it is a subspace of Rn.

So that's what I have for part 1

And for part 2 I'm still lost lol.

Well, assume that a vector x in R^n is orthogonal to each of the basis vectors

{v1,..,vt} of W . You then want to show that x is orthogonal to any vector v in W.

How do you show any two vectors are orthogonal.?.

Assume x is orthogonal to each of v1,..,vt (what does this mean.?) and let w be in W.

What do you need to do to show that x and v are orthogonal.?. How can you write w in

order to show this.?
 

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