What is the Orthonormal Basis of the Plane x - 4y - z = 0?

In summary, to find the Orthonormal Basis of x - 4y - z = 0, you can first find a basis of two independent vectors that satisfy the equation, such as (4,1,0) and (1,0,1). Then, you can orthogonalize this basis using Gramm-Schmidt and normalize it by dividing the two orthogonal vectors by their norms. In this case, the Orthonormal Basis would be (1/sqrt(2), 0, 1/sqrt(2)) and (2/3, 1/3, -2/3). To satisfy the "ortho" part of Orthonormal, you would need to verify that the dot product of the
  • #1
gbacsf
15
0
I need to find the Orthonormal Basis of this plane:

x - 4y -z = 0

I know the result will be the span of two vectors but I'm not sure where to start. Any hints?

Thanks,

Gab
 
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  • #2
First find a basis by finding two independent vectors that satisfy that equation. This is easy: find one non-zero vector satisfying that equation with z-component 0, and find another satisfying that equaiton with y-componenet 0. Next, orthogonalize this basis using Gramm-Schmidt. Finally, normalize it by dividing the two orthogonal vectors you have by their own norms.
 
  • #3
So set (y=1, z=0) and (y=0, z=1)

Get two vectors:

(4,1,0) and (1,0,1)

Normalize:

(4/sqrt(17), 1/sqrt(17), 0) and (1/sqrt(2), 0, 1/sqrt(2))
 
  • #4
To satisfy the "ortho" part of Orthonormal you need to verify that the dot product of your 2 vectors is 0.
 
  • #5
Ah thanks,

so e1= (1/sqrt(2), 0, 1/sqrt(2))

e2 = (2/3, 1/3, -2/3)
 

1. What is an orthonormal basis?

An orthonormal basis is a set of vectors that are both orthogonal (perpendicular) and normalized (have a magnitude of 1). In other words, the vectors in an orthonormal basis are at right angles to each other and have a length of 1 unit.

2. Why is an orthonormal basis important in mathematics?

An orthonormal basis is important in mathematics because it allows us to represent any vector in a specific space using a combination of these orthonormal vectors. This makes calculations and geometric interpretations much simpler.

3. How many vectors are needed to form an orthonormal basis in a plane?

In a plane, we need two linearly independent vectors to form an orthonormal basis. These two vectors must be orthogonal to each other and have a length of 1 unit.

4. Can an orthonormal basis exist in a three-dimensional space?

Yes, an orthonormal basis can exist in any dimensional space. In a three-dimensional space, we would need three linearly independent vectors to form an orthonormal basis.

5. How is an orthonormal basis related to the concept of linear independence?

An orthonormal basis is a set of linearly independent vectors. This means that none of the vectors can be written as a linear combination of the others. In other words, each vector in an orthonormal basis adds a unique dimension to the space.

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