Orthonormal Basis Homework: True/False

In summary, the set of vectors B={(-1,-1,1,1),(1,0,0,0),(0,1,0,0),(-1,-1,1,-1)} is not an orthonormal basis for Euclidean 4-space \mathbb{R}^4 because at least one vector is not a unit vector and some vectors are not orthogonal. The use of the word "Euclidean" implies the use of the usual inner product.
  • #1
DanielFaraday
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Homework Statement



True/False:

The set of vectors [tex]B={(-1,-1,1,1),(1,0,0,0),(0,1,0,0),(-1,-1,1,-1)}[/tex] is an orthonormal basis for Euclidean 4-space [tex]\mathbb{R}^4[/tex].

Homework Equations


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The Attempt at a Solution



I said false because [tex]\langle (-1,-1,1,1),(-1,-1,1,1) \rangle =2\ne1[/tex], which shows that at least one vector in this set is not a unit vector.

However, I'm not sure if I'm supposed to use the usual definition for the inner product. Is this implied by the word "Euclidean"?
 
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  • #2
That looks right. Some of the vectors aren't orthogonal either. "Euclidean" would imply the usual inner product. But even if they left the word "Euclidean" off, I would still use the usual inner product, just because they didn't tell you to use a different one.
 
  • #3
Perfect. Thanks!
 

1. What is an orthonormal basis?

An orthonormal basis is a set of vectors in a vector space that are both orthogonal (perpendicular) to each other and have a unit length of 1.

2. What is the importance of orthonormal basis in linear algebra?

Orthonormal basis is important in linear algebra because it allows for vector spaces to be easily represented and manipulated using simple operations such as dot products and projections. It also simplifies calculations and makes it easier to solve systems of linear equations.

3. How do you determine if a set of vectors form an orthonormal basis?

To determine if a set of vectors form an orthonormal basis, you must check that each vector is orthogonal to every other vector in the set and that each vector has a unit length of 1. You can also check if the set of vectors is linearly independent, which is a necessary condition for forming an orthonormal basis.

4. Can a set of vectors have more than one orthonormal basis?

Yes, a set of vectors can have more than one orthonormal basis. This is because there can be multiple sets of vectors that are both orthogonal and have a unit length of 1. The basis vectors themselves may be different, but they still represent the same vector space.

5. True or False: A matrix with orthonormal columns is always an orthonormal basis.

False. A matrix with orthonormal columns does not necessarily form an orthonormal basis. It is possible for the columns to be orthogonal to each other, but not have a unit length of 1. An orthonormal basis must have both orthogonal vectors and a unit length of 1.

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