Solving Orthonormal System with Gram-Schmidt

  • Thread starter Thread starter Niles
  • Start date Start date
  • Tags Tags
    System
Click For Summary
SUMMARY

The discussion centers on using the Gram-Schmidt process to convert a set of vectors, specifically u_1, u_2, and u_3 in R^4, into an orthonormal system v_1, v_2, and v_3. The user, Niles, correctly identifies that applying the Gram-Schmidt algorithm will yield the desired orthonormal vectors while maintaining the same span. This method is confirmed as the appropriate approach to achieve the goal of creating an orthonormal basis from the given vectors.

PREREQUISITES
  • Understanding of vector spaces and spans
  • Familiarity with the Gram-Schmidt process
  • Knowledge of orthonormal vectors
  • Basic linear algebra concepts
NEXT STEPS
  • Study the detailed steps of the Gram-Schmidt algorithm
  • Explore applications of orthonormal systems in linear transformations
  • Learn about the geometric interpretation of orthonormal bases
  • Investigate the implications of orthonormality in numerical methods
USEFUL FOR

Students and educators in linear algebra, mathematicians, and anyone seeking to understand the process of orthonormalization using Gram-Schmidt.

Niles
Messages
1,834
Reaction score
0
[SOLVED] Orthonormal system

Homework Statement


I have three vectors, u_1, u_2 and u_3, in R^4. I want to find an orthonormal system v_1, v_2 and v_3, where:

span(u_1, u_2, u_3) = span(v_1, v_2, v_3).

The Attempt at a Solution


My "guess" is that I can just use Gram-Schmidt on u_1, u_2 and u_3 to find the orthonormal system, and the two vector-sets must span the same space, right?

Thanks in advance,

sincerely Niles.
 
Physics news on Phys.org
Yes, you are supposed to use Gram-Schmidt.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
Replies
2
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 5 ·
Replies
5
Views
6K