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

In summary, the problem is asking for a basis of a space where a vector is orthogonal to both another vector and itself.
  • #1
ichabodgrant
49
0
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?

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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?
 
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  • #2
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: [itex]\left\langle w, u \right\rangle = 0 [/itex] and [itex]\left\langle w, v \right\rangle = 0 [/itex] ). 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.
 
  • #3
So my second try is correct?
Better to let w1, w2, w3, w4, w5 instead of x...?
 
  • #4
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...?
 
  • #5
Yeah typo...sorry
the 2 is redundant
 
  • #6
Seems like W would be the intersection of the ortho complements of u,v .
 
  • #7
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(...).
 
  • #8
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.
 
  • #9
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.
 

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

1. What is a basis of a space?

A basis of a space is a set of vectors that span the entire space and are linearly independent. This means that any vector in the space can be written as a linear combination of the basis vectors and that no basis vector can be written as a linear combination of the other basis vectors.

2. Why is finding a basis important?

Finding a basis is important because it allows us to represent any vector in a space in a unique and efficient way. It also helps us to understand the structure and properties of a space.

3. How do you find a basis of a space?

To find a basis of a space, we need to first identify the vectors that span the space. This can be done by finding the pivot columns in a matrix representation of the space. Then, we check the linear independence of these vectors by solving a system of equations. If the vectors are linearly independent, they form a basis of the space.

4. Can a space have more than one basis?

Yes, a space can have more than one basis. In fact, any vector in a space can be used as the starting point for finding a basis, as long as the set of vectors found is linearly independent and spans the space.

5. How can we determine the dimension of a space using its basis?

The dimension of a space is equal to the number of vectors in its basis. This is because a basis is a set of linearly independent vectors that span the entire space. Therefore, the number of vectors in the basis reflects the number of dimensions needed to describe the space.

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