Finding the dimension of the span ##u_1-u_2, ...., u_n-u_1##?

  • Context: Undergrad 
  • Thread starter Thread starter schniefen
  • Start date Start date
  • Tags Tags
    Dimension Span
Click For Summary
SUMMARY

The dimension of the span formed by the vectors ##\textbf{u}_1-\textbf{u}_2, \textbf{u}_2-\textbf{u}_3, \ldots, \textbf{u}_n-\textbf{u}_1##, where ##\textbf{u}_1, \ldots, \textbf{u}_n## constitute a basis in a linear space, is determined to be ##n-1##. This conclusion arises from the linear independence of the basis vectors and the subsequent analysis of the linear combination leading to a dependent set. By eliminating one vector from the dependent set and confirming the independence of the remaining vectors, it is established that the dimension of the span is indeed ##n-1##.

PREREQUISITES
  • Understanding of linear independence and dependence in vector spaces
  • Familiarity with the concept of a basis in linear algebra
  • Knowledge of linear combinations and their implications
  • Proficiency in manipulating vector equations
NEXT STEPS
  • Study the properties of vector spaces and their dimensions
  • Learn about linear transformations and their effects on vector independence
  • Explore the concept of null space and its relationship to linear dependence
  • Investigate the geometric interpretation of vector spans in higher dimensions
USEFUL FOR

Students and professionals in mathematics, particularly those focusing on linear algebra, vector space theory, and anyone seeking to deepen their understanding of vector independence and span dimensions.

schniefen
Messages
177
Reaction score
4
If ##\textbf{u}_1,...,\textbf{u}_n## form a basis in a linear space, how does one determine the dimension of the span ##\textbf{u}_1-\textbf{u}_2, \textbf{u}_2-\textbf{u}_3,...,\textbf{u}_n-\textbf{u}_1##? Since ##\textbf{u}_1,...,\textbf{u}_n## form a basis, they're linearly independent. If one finds the number of vectors that make up the basis of the span ##\textbf{u}_1-\textbf{u}_2,...,\textbf{u}_n-\textbf{u}_1##, then that number is also its dimension. To find the basis of the span, I check the linear independence of the vectors:

##x_1(\textbf{u}_1-\textbf{u}_2)+x_2(\textbf{u}_2-\textbf{u}_3) +...+x_n(\textbf{u}_n-\textbf{u}_1)=0\qquad(1)##​
Rearranging terms:

##(x_1-x_n)\textbf{u}_1+(x_2-x_1)\textbf{u}_2+...+(x_n-x_{n-1})\textbf{u}_n=0##​

From the linear independence of the vectors ##\textbf{u}_1,...,\textbf{u}_n##, ##(x_1-x_n)=(x_2-x_1)=...=(x_n-x_{n-1})=0##, which means that ##x_1=x_2=...=x_n=k## for some ##k\in\mathbf{R}##. (1) can thus be written ##k((\textbf{u}_1-\textbf{u}_2)+(\textbf{u}_2-\textbf{u}_3) +...+(\textbf{u}_n-\textbf{u}_1))=k(\textbf{0})=0##. Thus they're all linear dependent. How does one proceed from here?
 
Physics news on Phys.org
schniefen said:
How does one proceed from here?
Eliminate one vector from the dependent set and check again.

Loosely speaking, eliminating ##(u_k-u_{k+1})## from the set and checking for independence is like setting ##x_k=0## in all of your steps which then makes all coefficients zero, but you should repeat the process and see.
 
  • Like
Likes   Reactions: schniefen
isn't the sum of your vectors zero? so their span has dim ≤ n-1. indeed it seems to equal n-1 since if you throw in un, you seem to get everything. but i did not check it on paper.
 
  • Like
Likes   Reactions: schniefen

Similar threads

  • · Replies 0 ·
Replies
0
Views
936
  • · Replies 25 ·
Replies
25
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 0 ·
Replies
0
Views
2K
  • · Replies 21 ·
Replies
21
Views
1K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
4
Views
1K
  • · Replies 5 ·
Replies
5
Views
3K