Can any vector be in orthonormal basis?

Click For Summary
SUMMARY

Any normalized vector in a finite-dimensional vector space V can belong to an orthonormal basis that spans V. There are multiple orthonormal bases for a given vector space, which implies the existence of various coordinate systems. The Gram-Schmidt procedure is a definitive method to construct an orthonormal basis that includes any specified unit vector.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with orthonormal bases
  • Knowledge of the Gram-Schmidt procedure
  • Concept of normalized vectors
NEXT STEPS
  • Study the Gram-Schmidt process in detail
  • Explore the concept of vector space dimensionality
  • Learn about different coordinate systems in linear algebra
  • Investigate applications of orthonormal bases in data science and machine learning
USEFUL FOR

Students and professionals in mathematics, physics, and engineering, particularly those focusing on linear algebra and its applications in various fields.

catsarebad
Messages
69
Reaction score
0
okay so I'm having some conceptual difficulty

given some vector space V (assume finite dimension if needed)

which has some orthonormal basis

i'm given a vector x in V (assume magnitude 1 so it is normalized)

now my question is:

can x belong to some orthonormal basis of v? basically can any normalized vector in V belong to some orthonormal basis that spans V.
 
Physics news on Phys.org
Yes.
 
thanks :)
 
'scuse I was in a bit of a hurry all of a sudden.
Basically what you've noticed is that there is more than one possible orthonormal basis for a vector space.
Another way of putting it is that there is more than one possible coordinate system.
 
yes, excellent, that is what i was thinking. it was pretty helpful for you to just confirm it then and there and i did use that information right away.
 
Well done.
 
Given any unit vector you can use the "Gram-Schmidt" procedure to find an orthonormal basis containing it.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 23 ·
Replies
23
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K