Proving Orthogonality of a Vector to a Spanning Set of a Subspace

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Homework Help Overview

The discussion revolves around proving that a vector k is in 'W perp' if and only if k is orthogonal to every vector in the spanning set of a subspace W in Rn.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to establish the relationship between k being in 'W perp' and its orthogonality to the spanning set of W, expressing uncertainty about the proof.
  • Some participants question the definition of 'W perp' and suggest considering a direct approach to the proof.
  • Clarifications are sought regarding notation and terminology, such as the meaning of 'wi' and the nature of a direct solution.

Discussion Status

Participants are actively engaging with the original poster's reasoning, providing clarifications and prompting further exploration of the implications of orthogonality. There is a recognition that proving the claims explicitly is necessary for a complete understanding.

Contextual Notes

There are indications of typographical errors in the original post, which have been acknowledged and corrected. The discussion also reflects a need for clarity on the definitions and properties of orthogonality in the context of vector spaces.

kehler
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Homework Statement


Prove that a vector k is in 'W perp' if and only if k is orthogonal to every vector in the spanning set of W, where W is a subspace of Rn

The Attempt at a Solution


It's so obviously true that I don't know how to prove it! :S

Here's what I did:
Let {w1, w2SUB], ... wm} be a spanning for W.
Let w be a vector in W where
w = c1w1 + c2w2 + ... + cmwm
and all the weights c1, c2,...,cm are nonzero
Suppose k is in 'W perp' but is not orthogonal to every vector in the spanning set.
Then k.w
= k. (c1w1 + c2w2 + ... + cmwm)
= c1k.w1 + c2k.w2 +... + cmk.wm
= a, where a is a non-zero number
But to be in 'W perp', the dot product of k and any vector in W must be zero
Therefore, k has to be orthogonal to every vector in the spanning set of W to be in 'W perp"

Is this right?? I can't think of any other way to do it :S
 
Last edited:
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Your definition of 'Wperp' is the space of all vector orthogonal to every member of W, right? And you are given that a vector is orthogonal to every member of a spanning set?

Do a direct solution, not indirect. If k.wi= 0, what is k.w?
 
Yep 'W perp' (W perpendicular) is the set of all vectors orthogonal to W.
Oops I realized I made some typo errors. The 'x's in the last two lines were meant to be 'k's. I've edited it now.
What do you mean by a direct solution?
And what's 'wi'? :S
 
He means that your basis set is [itex]\{ \vec{w}_i \}= \{\vec{w}_1,\vec{w}_2, \ldots \vec{w}_n \}[/itex] and if [itex]\vec{k}[/itex] is perpendicular to each of your spanning vectors, [itex]\vec{k} \cdot \vec{w}_i=0 \quad \forall i \in [1,n][/itex]. What does that make [itex]\vec{k} \cdot \vec{w}[/itex]?

And if [itex]\vec{k}[/itex] is perpendicular to every vector in W, then [itex]\vec{k} \cdot \vec{w}=0[/itex]. What does that make [itex]\vec{k} \cdot \vec{w}_i=0[/itex] for each i?
 
Last edited:
If k is perpendicular to each of the spanning vectors, then k.w = 0
and if k is perpendicular to every vector in W, then k.wi = 0

Is that all I have to write? :S
 
Well, you should explicitly show that each of those claims is true; but other than that, yes; since any vector for which k.w is zero, is in W_perp.
 
Oh ok cool :). Thanks guys.
 

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