Basis for the orthogonal complement.

In summary: So focus on the '1' in the second vector.In summary, the basis for W^{\perp} can be found by using the cross product of the two vectors in the basis for W, as any vector in the orthogonal complement must be perpendicular to both of these vectors. Alternatively, the Gram-Schmidt process can also be used to find a vector that has a dot product of zero with the first vector and the remaining unknown component can be used to make the dot product with the second vector also zero.
  • #1
-Dragoon-
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Homework Statement


Let W be the plane [itex]3x + 2y - z = 0[/itex] in R3. Find a basis for [itex]W^{\perp}[/itex]

Homework Equations


N/A

The Attempt at a Solution


Firstly, I take some arbitrary vector [itex] u = \begin{bmatrix}a\\b\\c\end{bmatrix}[/itex]
that is in [itex]W^{\perp}[/itex]. Then I note that W can be rewritten in terms of the natural basis for R3:
[itex]W = 3\begin{bmatrix}1\\0\\0\end{bmatrix} + 2 \begin{bmatrix}0\\1\\0\end{bmatrix} - 1 \begin{bmatrix}0\\0\\1\end{bmatrix}[/itex]

Then, by the inner product: [itex]\langle u,w\rangle = 3a + 2b - c = 0[/itex]. Thus,
[itex] a = -\frac{2}{3}b + \frac{1}{3}c[/itex] and hence the vector u in [itex]W^{\perp}[/itex] has the form:
[itex] u = \begin{bmatrix}-\frac{2}{3}b+\frac{1}{3}c\\b\\c\end{bmatrix} = b\begin{bmatrix}\frac{-2}{3}\\1\\0\end{bmatrix} + c u = \begin{bmatrix}\frac{1}{3}\\0\\1\end{bmatrix}[/itex]

Thus, the set [itex]\begin{Bmatrix}
\begin{bmatrix}-\frac{2}{3}\\1\\0\end{bmatrix}
\begin{bmatrix}\frac{1}{3}\\0\\1\end{bmatrix}
\end{Bmatrix}
[/itex] spans [itex]W^{\perp}[/itex].

Since both vectors are linearly independent, that is, one cannot be written as a linear combination of the other, I conclude that the set forms a basis for [itex]W^{\perp}[/itex]. After checking the solutions manual for the answer, the book came up with a completely different solution. What did I do wrong? Thanks in advance.
 
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  • #2
What is the dimension of [itex]W^{\perp}[/itex]?

ehild
 
  • #3
ehild said:
What is the dimension of [itex]W^{\perp}[/itex]?

ehild

Its dimension is 3...

So, do I need to start all over or can the incorrect process to the solution be fixed half way?
 
  • #4
The whole vector field has three dimensions. What is the dimension of a plane? What is the dimension of a straight line?

ehild
 
  • #5
You found the vector (-2/3, 1, 0) to be in [itex]W^{\perp}[/itex].

Can you verify that it is NOT in W?
That is, does it satisfy the equation 3x + 2y - z = 0 which is the equation for W?
 
  • #6
A plane, through the origin, is a two dimensional subspace of [itex]R^3[/itex]. Its orthogonal complement is a line through the origin and has dimension 1. You should have only one vector in the basis.

Your error is in thinking that a vector <a, b, c>, in the orthogonal complement must satisfy 3a+ 2y- c= 0. That is the equation of the plane- any vector in the plane must satisfy that equation. Instead, write the equation as z= 3x+ 2y. Any vector in the plane must be of the form
[tex]\begin{bmatrix}x \\ y \\ z\end{bmatrix}= \begin{bmatrix}x \\ y \\ 3x+ 2y\end{bmatrix}= x\begin{bmatrix}1 \\ 0 \\ 3\end{bmatrix}+ y\begin{bmatrix}0 \\ 1 \\ 2\end{bmatrix}[/tex]
Any vector in the orthogonal complement must be perpendicular to both of those vectors.
 
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  • #7
I like Serena said:
You found the vector (-2/3, 1, 0) to be in [itex]W^{\perp}[/itex].

Can you verify that it is NOT in W?
That is, does it satisfy the equation 3x + 2y - z = 0 which is the equation for W?

I never realized the vector I mistakenly concluded to be in [itex]W^{\perp}[/itex] is actually in W.
 
  • #8
Retribution said:
I never realized the vector I mistakenly concluded to be in [itex]W^{\perp}[/itex] is actually in W.

Yes.
Effectively you have solved the equation of W to find a basis of 2 vectors that span W.

But for [itex]W^{\perp}[/itex] you need a vector that is perpendicular to those 2 vectors.


Btw, if you try and find it, you may find that you recognize it!
 
  • #9
HallsofIvy said:
A plane, through the origin, is a two dimensional subspace of [itex]R^3[/itex]. Its orthogonal complement is a line through the origin and has dimension 1. You should have only one vector in the basis.

Your error is in thinking that a vector <a, b, c>, in the orthogonal complement must satisfy 3a+ 2y- c= 0. That is the equation of the plane- any vector in the plane must satisfy that equation. Instead, write the equation as z= 3x+ 2y. Any vector in the plane must be of the form
[tex]\begin{bmatrix}x \\ y \\ z\end{bmatrix}= \begin{bmatrix}x \\ y \\ 3x+ 2y\end{bmatrix}= x\begin{bmatrix}1 \\ 0 \\ 3\end{bmatrix}+ y\begin{bmatrix}0 \\ 1 \\ 2\end{bmatrix}[/tex]
Any vector in the orthogonal complement must be perpendicular to both of those vectors.
Ah, is this is because of one of the theorems (is unnamed in my text, only called "theorem 5.12") that states the sum of the dimensions of the subspace and the subspace's orthogonal complement must not be greater than the dimension Rn? In this case, R3?
 
  • #10
I like Serena said:
Yes.
Effectively you have solved the equation of W to find a basis of 2 vectors that span W.

But for [itex]W^{\perp}[/itex] you need a vector that is perpendicular to those 2 vectors.


Btw, if you try and find it, you may find that you recognize it!

I see. So, can that vector now be found by using the Gram-Schmidt process?
 
  • #11
Since this is in R3, use the cross product.
 
  • #12
Retribution said:
I see. So, can that vector now be found by using the Gram-Schmidt process?

You can.

I recommend you try to find a vector that has an dot product of zero with the first vector.
Once you have that, use the remaining unknown component to make the dot product with the second vector also zero.

This path is easy, since both your vectors have a zero in it.
 

FAQ: Basis for the orthogonal complement.

What is the basis for the orthogonal complement?

The basis for the orthogonal complement is a set of vectors that are orthogonal (perpendicular) to a given subspace. This means that the dot product of any two vectors in the basis is equal to 0.

How do you find the basis for the orthogonal complement?

To find the basis for the orthogonal complement, you can use the Gram-Schmidt process, which involves orthogonalizing a set of linearly independent vectors. Another method is to use the null space of the transpose of the original subspace's basis.

Why is the basis for the orthogonal complement important?

The basis for the orthogonal complement is important because it allows us to find a set of vectors that span the entire space perpendicular to a given subspace. This can be useful in applications such as finding the best fit in a regression analysis or solving systems of linear equations.

What is the relationship between the basis for the orthogonal complement and the original subspace?

The basis for the orthogonal complement is a set of vectors that are perpendicular to the original subspace. This means that the two subspaces are complementary, and their union forms the entire vector space.

Can the basis for the orthogonal complement change?

Yes, the basis for the orthogonal complement can change depending on the subspace it is orthogonal to. If the original subspace changes, the basis for the orthogonal complement will also change to reflect the new perpendicular vectors.

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