How to find a basis of a subspace V = {(x1; x2;….; xn) | Σni=1 xi=0}

  • Context: Graduate 
  • Thread starter Thread starter ahadmir
  • Start date Start date
  • Tags Tags
    Basis Subspace
Click For Summary
SUMMARY

The discussion focuses on finding a basis for the subspace V = {(x1; x2;….; xn) | Σni=1 xi=0} in Rn, where the sum of the vectors equals zero. For n=2, the basis is the vector {1/√2, -1/√2}. For n=3, the basis consists of the vectors {<1, 0, -1>, <0, 1, -1>} after normalization. For n=4, the basis is {<1, 0, 0, -1>, <0, 1, 0, -1>, <0, 0, 1, -1>}, also requiring normalization. The pattern reveals that the basis vectors can be derived from the equation defining the subspace and normalized to unit length.

PREREQUISITES
  • Understanding of vector spaces and subspaces in linear algebra
  • Knowledge of normalization of vectors
  • Familiarity with Rn notation and operations
  • Ability to solve linear equations
NEXT STEPS
  • Study the concept of linear independence in vector spaces
  • Learn about orthonormal bases and Gram-Schmidt process
  • Explore applications of subspaces in higher-dimensional spaces
  • Investigate the implications of dimensionality reduction in linear algebra
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, as well as data scientists and engineers working with vector spaces and dimensionality reduction techniques.

ahadmir
Messages
2
Reaction score
0
Given V = {(x1; x2;….; xn) | Σni=1 xi=0}
(sum of vectors is equal to zero) be a subspace of Rn. How can we find a basis of V such that for each vector {(x1; x2;….; xn) in the basis Σi=1n x2i=1 ( i.e. sum of squares is equal to 1).
 
Physics news on Phys.org
For problems like this start by looking at the easy cases. If n= 2, we are looking at vectors <x1, x2> such that x1+ x2= 0 and are looking for a basis. That is the single equation x2= -x1 so <x1, -x1>= x1<1, -1>. That is, a basis consists of simply the single vector <1, -1>. (Generally, one equation reduces the dimension of the space by 1. Since the over all space, R2, has dimension 2, one equation reduces the dimension of the the subspace to 2- 1= 1.)
Since the length of a vector is "square root of sum of squares", the condition that the sum of the squares be 1 is exactly the same as requiring that the length of the vectors be 1. <1, -1> has length \sqrt{2} so dividing that vector by \sqrt{2} gives a unit vecotor: \{1/\sqrt{2}, -1/\sqrt{2}\} is a basis.

Now try n= 3. Any vector in R3 can be written in the form <x1, x2, x3> and we are requiring that x1+ x2+ x3= 0. Again this is a single equation so our subspace has dimension 3- 1= 2. We can solve for x3, say, in terms of the other two: x3= -x1- x2 so any vector is of the form <x1, x2, -x1-x2>= <x1, 0, -x1)+ <0 x2, -x2>= x1<1, 0, -1>+ x2<0, 1, -1>. A basis is {<1, 0, -1>, <0, 1, -1>}. Again, those both have length \sqrt{2} so you must divide by \sqrt{2}.

In R4, n= 4, we have x1+ x2+ x3+ x4= 0 or x4= -x1-x2-x3 so you should be able to see that a basis is {<1, 0, 0, -1>, <0, 1, 0, -1>, <0, 0, 1, -1>}. Again you will have to divide each by its length, \sqrt{2}.

Do you see the pattern now?
 

Similar threads

Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
4K
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 6 ·
Replies
6
Views
20K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
3
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K