What is the use of Gram-Schmidt in linear algebra?

  • Thread starter Thread starter transgalactic
  • Start date Start date
  • Tags Tags
    Algebra
Click For Summary

Homework Help Overview

The discussion revolves around the application of the Gram-Schmidt process in linear algebra, particularly in the context of finding orthogonal and orthonormal bases for a given subspace in R³.

Discussion Character

  • Conceptual clarification, Assumption checking, Exploratory

Approaches and Questions Raised

  • Participants explore the distinction between orthogonal and orthonormal bases, with some questioning the specific scenarios where Gram-Schmidt is applicable. There is also a discussion about the use of the cross product in three dimensions versus higher dimensions.

Discussion Status

Participants are actively engaging with the concepts of orthogonality and normalization, with some guidance provided on the differences between orthogonal and orthonormal bases. The conversation reflects a mix of understanding and confusion regarding the application of Gram-Schmidt.

Contextual Notes

There is a mention of specific problems related to finding bases for a subspace defined by a linear equation, and the participants are navigating the implications of these requirements in their discussion.

Physics news on Phys.org
You found two vectors that form a basis for W, v1=(1,1,0) and v2=(-1,0,1). The questions seem to be asking for a basis of the subspace orthogonal to W (call it WP). You are correct that if you find a vector perpendicular to v1 and v2, that's a basis for the orthogonal subspace (since the whole space is three dimensional). It's already an orthogonal basis, since it's the only basis vector. To make it an orthonormal basis just find a vector pointing in the same direction of length 1.
 
so in what case do i use gram shmit
because i heard
it also involves in perpendicular stuff
 
You are given that W= {(x,y,z) in R3| x- y+ z= 0} and are asked
1) Find the (it really should be 'an') orthogonal basis for W^{\underline{|}}.
2) Find the (it really should be 'an') orthonormal basis for W^{\underline{|}}.
and you say "I don't understand the difference between the two." Well, obviously the difference is the difference between "orthogonal" and "orthonormal". I assume you know that the "orthogonal" as well as the "ortho" in "orthonormal" means "perpendicular" so the difference is in "normal" which means "normalized" or, here, of length 1. In problem 1, you are asked to find a basis in which all vectors are perpendicular (orthogonal). In problem 2, you are asked to find a basis in which all vectors are also of length 1. After you have done problem 1, problem 2 is easy- just find the length of each vector and divide it by its length.

"Gram-Schmidt" allows you to construct an orthonormal basis out of any given basis but, as Dick said, here you don't really need that. The single non-zero vector perpendicular to both (-1, 0, 1) and (1, 1, 0) already is a basis. Just find its length and divide it by its length to "normalize" it.


That is, of course,
 
transgalactic said:
so in what case do i use gram shmit
because i heard
it also involves in perpendicular stuff

You could have used Gram-Schmidt here if you wanted to find an orthogonal basis for W. In three dimensions you can get away with using the cross product to construct orthogonals, but there is no analog of the cross product in higher dimensions.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 6 ·
Replies
6
Views
5K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K