How Do You Find a Basis for the Orthogonal Complement of Given Vectors in ℝ5?

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Discussion Overview

The discussion revolves around finding a basis for the orthogonal complement of two given vectors in ℝ5. Participants explore various methods to derive the conditions for orthogonality and the implications for the basis of the resulting subspace.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant suggests that the only vector orthogonal to both u and v might be the zero vector, questioning if this is too trivial.
  • Another participant proposes using an augmented matrix to find a solution set, leading to a proposed basis for the orthogonal complement.
  • It is noted that the initial approach may have been rushed, and a more careful application of the orthogonality conditions is necessary.
  • A participant emphasizes that the vectors in the proposed basis must be checked for orthogonality to both u and v using dot products.
  • Another participant suggests that the subspace W could be viewed as the intersection of the orthogonal complements of u and v.
  • One participant provides a method to express the general vector in the subspace and derive relationships between its components based on the orthogonality conditions.
  • Concerns are raised about the inclusion of the zero vector in a basis, highlighting that it cannot form a linearly independent set.

Areas of Agreement / Disagreement

Participants express differing views on the validity of the proposed basis and the implications of including the zero vector. There is no consensus on the correctness of the initial attempts or the final basis derived from the discussion.

Contextual Notes

Some participants point out potential typos and errors in the proposed vectors, indicating that careful verification is needed. The discussion involves multiple approaches and interpretations of the orthogonality conditions, leading to unresolved mathematical steps.

ichabodgrant
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Let u = [1, 2, 3, -1, 2]T, v = [2, 4, 7, 2, -1]T in 5.
Find a basis of a space W such that wu and wv for all wW.

I think the question is quite easy. Given this vector w in the space W is orthogonal to both u and v. I can only think of w being a zero vector. But would this be too trivial?

wTu = wTv = 0

wT(u - v) = 0

I believe there is something wrong. Things above are what I can compute...
Is there any other way to solve this question?

-----------------------------------------------------------------------------------------------------

Oh, I've thought of another way.

Set a augmented matrix
[1 2 3 -1 2 | 0]
[2 4 7 2 -1 | 0]

~

[1 2 3 -1 2 | 0]
[0 2 4 3 -3 | 0]

Let x5 = t, x4 = s, x3 = z where t, s, z ∈ ℝ.
∴ x2 = 1.5t - 1.5s - 2z
x1 = -5t + 4s + z

Therefore, the solution set is {t[-5 1.5 2 0 0 1]T + s[4 -1.5 0 1 0]T + z[1 -2 1 0 0]T}.
The basis is {[-5 1.5 2 0 0 1]T, [4 -1.5 0 1 0]T, [1 -2 1 0 0]T}.Is this correct?
 
Last edited:
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ichabodgrant said:
wTu = wTv = 0
You have started OK, but then you have hurried along too fast. Let w = [w1, w2, w3, w4, w5]. Now apply your conditions (written as scalar products: \left\langle w, u \right\rangle = 0 and \left\langle w, v \right\rangle = 0 ). You will not find a complete solution (after all, there are 5 variables and two equations), but you will have some constraints on the coordinates.
 
So my second try is correct?
Better to let w1, w2, w3, w4, w5 instead of x...?
 
ichabodgrant said:
So my second try is correct?
No.
The first vector in your set has too many components (typo?). Each vector in your set has to be perpendicular to u and v, which you can easily check by doing dot products.
ichabodgrant said:
Better to let w1, w2, w3, w4, w5 instead of x...?
 
Yeah typo...sorry
the 2 is redundant
 
Seems like W would be the intersection of the ortho complements of u,v .
 
I would do it this way- write the general vector in your subspace as (a, b, c, d, e). Such a vector is perpendicular to (1, 2, 3, -1, 1) if and only if a+ 2b+ 3c- d+ e= 0. It is perpendicular to (2, 4, 7, 2, -1) if and only if 2a+ 4b+ 7c+ 2d- e= 0. Adding those two equations together, 3a+ 6b+ 10c- d= 0 so that d= 3a+ 6b+ 10c. Putting that into either or the first equations let's you solve for, say, e in terms of a, b, c, and d. Replace d and e in (a, b, c, d, e) by those and then write the result as a( ...)+ b(...)+ c(...).
 
for your first answer that w=0, you should understand that a set of vectors with the zero vector is never linearly independent. Think about it for a bit. You can easily prove it yourself. And if you don't have a linearly independent set then you don't have a basis. A basis is defined to be a linearly independent spanning list afterall.
 
Ahmad Kishki said:
for your first answer that w=0, you should understand that a set of vectors with the zero vector is never linearly independent. Think about it for a bit. You can easily prove it yourself. .

A 1-line proof: take any non-zero c , then c.0=0 is a non-trivial combination that gives you 0.
 

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