Question about finding dimensions

  • Context: Undergrad 
  • Thread starter Thread starter sam0617
  • Start date Start date
  • Tags Tags
    Dimensions
Click For Summary

Discussion Overview

The discussion revolves around the process of finding the dimension of a vector space related to a matrix, specifically how to determine if a set of vectors forms a basis and how to calculate the rank of a matrix. The scope includes conceptual understanding and technical methods related to linear algebra.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant inquires whether to first confirm that a set is a basis (linearly independent and spans) before counting non-zero rows in the original matrix A or after reducing it to REF or RREF.
  • Another participant questions what the original matrix A refers to and seeks clarification on what is being asked regarding the basis.
  • A third participant suggests that the question may be about finding the rank of the matrix, noting that the rank corresponds to the dimensionality of the linear subspace spanned by the matrix's columns or rows.
  • There is mention of various methods to determine matrix rank, including converting to row-echelon form or considering the trace of the projection of the matrix.

Areas of Agreement / Disagreement

Participants express confusion regarding the original question, with no clear consensus on the intended meaning or the correct approach to finding the dimension.

Contextual Notes

The discussion highlights ambiguities in the initial question, particularly regarding the definitions of basis and the role of the matrix A. There are unresolved assumptions about the context in which the dimension is being sought.

sam0617
Messages
18
Reaction score
1
I tried googling this first and of course looked at my notes but the questions asked pertaining to dimensions were confusing me more so I thought I'd ask directly.

Sorry for asking the same question I'm sure someone else has asked.

Okay. So, to find the dimension, do I first make sure it's a basis ( linearly independent & spans )
then find how many non-zero rows the original matrix A had or
do I reduce the original matrix A to REF or RREF after I made sure it's a basis THEN count how many non-zero rows it has?

Thank you for the help.
 
Last edited:
Physics news on Phys.org
what are you trying to find the basis of, and what does A have to do with this?
 
I also don't understand what you're asking.

sam0617 said:
Okay. So, to find the dimension, do I first make sure it's a basis ( linearly independent & spans )
Find the dimension of what? Make sure that what is a basis?

sam0617 said:
then find how many non-zero rows the original matrix A had
Original matrix? Now I really don't understand.

sam0617 said:
do I reduce the original matrix A to REF or RREF after I made sure it's a basis THEN count how many non-zero rows it has?
A matrix can never be a basis. Are you asking how to determine if the set of rows of a given n×m matrix is a basis of the space of 1×m matrices?
 
Your question is vague, but it sounds like you just want to find the rank of the matrix. The rank is equal to the dimensionality of the linear subspace spanned by the columns (or rows) of the matrix.

I'm sure there are plenty of ways of determining matrix rank. (The wikipedia article on matrix rank suggests something about converting to row-echelon form)... but another way could be to take the trace of the projection of the matrix.
 
Thank you. Sorry for the confusion everyone.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
3K