Find Basis for Uperp from x1, x2, x3: Orthogonal Bases

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Homework Help Overview

The discussion revolves around finding a basis for the orthogonal complement Uperp of a subspace U in R4, given an orthogonal basis S={x1, x2, x3} for U. The original poster expresses a desire to understand the concept rather than just obtain a solution.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the relationship between the dimensions of U and Uperp, questioning how many vectors are needed in the basis for Uperp. There is discussion about the method of using projections to find a vector orthogonal to the given basis vectors.

Discussion Status

Participants are actively engaging with the problem, sharing their attempts and calculations. Some guidance is offered regarding the expected dimension of Uperp and the nature of orthogonality. There is a recognition of potential errors in calculations, and participants are encouraged to share their work for further examination.

Contextual Notes

There is an emphasis on the orthogonality of the vectors in U and the implications for the vectors in Uperp. The discussion includes attempts to verify calculations and clarify misunderstandings about vector projections and orthogonality.

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Homework Statement


Let U be a subspace of R4 and let S={x1, x2, x3} be an orthogonal basis of U.

Given x1, x2, x3, find a basis for Uperp (the subspace containing all vectors orthogonal to all vectors in U).

I am actually given three vectors x1, x2, x3, but I am looking more to understand the concept.


Homework Equations





The Attempt at a Solution


Since all vectors in Uperp are orthogonal all vectors in U, I am led to believe that all vectors in a basis of Uperp would be orthogonal to the vectors in the basis of U... But the vectors I am given are all orthogonal to one another, so I am somewhat confused.

Any insight is appreciated. Thank you.
 
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theRukus said:
Since all vectors in Uperp are orthogonal all vectors in U, I am led to believe that all vectors in a basis of Uperp would be orthogonal to the vectors in the basis of U... But the vectors I am given are all orthogonal to one another, so I am somewhat confused.

Given that \dim U = 3 and you are working in \mathbb{R}^4, what do you expect the dimension of U^\perp to be? (Just because x_1, x_2, x_3 are all mutually orthogonal, that doesn't necessarily mean you can't have another vector orthogonal to all of them.)
 
Yes, given. However, wouldn't the basis for U^\perp have to consist of 3 new vectors, each orthogonal to x_1, x_2, x_3?
 
No, the basis of U^\bot will not consist of three vectors. It will consist of one vector, which is orthogonal to the basis in U.
 
Thank you
 
Last edited:
Alright. I have been trying to solve in the following manner:

Pick a random vector x.

Solve for z = x - projx1(x) - projx2(x) - projx3(x)

That is, z equals the random vector x minus x's projections on the three orthogonal vectors.

This should leave me with one vector z orthogonal to all three original vectors, correct?

I have tried this with three random vectors x, and for some reason every z is orthogonal to x1 and x2, but not x3. I have been redoing my calculations repeatedly, but the same thing occurs. Is this possible, or have I some error?
 
Yes you should get to the correct answer this way (provided that the vector x is linearly independent from x_1,x_2,x_3.
If you can't find your mistake, then you can always post your work here. So we can see what went wrong...
 
I tried again, instead using the formula

z = x - projx1(x) - projx3(x) - projx2(x)

Using this method, z is orthogonal to x1 and x3, but not x2.. What givesss...?
 
Last edited:
The latest effort:

GIVEN: x1 = [1 0 -1 -1] x2 = [2 1 1 1] x3 = [-1 3 -1 0]

Let x = [1 2 3 4] (I have also tried with x = [1 1 1 1] and x = [2 1 2 1])
z = x - projx1(x) - projx3(x) - projx2(x)

= [1 2 3 4] - (-6/3)[1 0 -1 -1] - (2/11)[-1 3 -1 0] - (11/7)[2 1 1 1]

= [1 2 3 4] - [-2 0 2 2] - [-2/11 6/11 -2/11 0] - [22/7 11/7 11/7 11/7]

= [3 2 1 2] - [-14/77 42/77 -14/77 0] - [242/77 121/77 121/77 121/77]

=[231/77 154/77 77/77 154/77] - [-256/77 -79/77 -135/77 -121/77]

= [487 233 212 275]This vector is orthogonal to x1 and x3 but not x2 (dot product test)
 
  • #10
theRukus said:
[3 2 1 2] - [-14/77 42/77 -14/77 0] - [242/77 121/77 121/77 121/77]

=[231/77 154/77 77/77 154/77] - [-256/77 -79/77 -135/77 -121/77]

It seems that you made some sign errors in this step...
 
  • #11
I don't mean to question your authority, but I don't see any sign errors. Are you sure they're there?
 
  • #12
Well, for me we have

[3 2 1 2] - [-14/77 42/77 -14/77 0] - [242/77 121/77 121/77 121/77]
= [3 2 1 2] - ([-14/77 42/77 -14/77 0] + [242/77 121/77 121/77 121/77])
= [231/77 154/77 77/77 154/77]-[228/77 163/77 107/77 121/77]

This is a bit different then your solution:
[231/77 154/77 77/77 154/77] - [-256/77 -79/77 -135/77 -121/77]
 
  • #13
I'm at a loss to understand how the two are different. I'm comparing it to simple arithmetic:

-3 - 2 - 1 = - 3 - (2 + 1)
LS = -6, RS = -6
...

So how is this any different?

I can see that you are right; my homework problem is solved.. But now I am completely confused.
 
  • #14
Well, for the first coordinate, you have

-(-14/77)-242/77=14/77-242/77=-228/77

thesame with the other coordinates...
 

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