Question about finding dimensions

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SUMMARY

This discussion centers on determining the dimension of a linear space spanned by the rows or columns of a matrix, specifically matrix A. To find the dimension, one must first ensure that the set of vectors is a basis, which requires them to be linearly independent and span the space. The rank of the matrix, which can be found by reducing it to Row Echelon Form (REF) or Reduced Row Echelon Form (RREF), directly corresponds to the dimension of the spanned space. The conversation highlights the importance of understanding matrix rank as a fundamental concept in linear algebra.

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  • Understanding of linear independence and spanning sets
  • Familiarity with matrix operations, specifically REF and RREF
  • Knowledge of matrix rank and its significance in linear algebra
  • Basic concepts of linear transformations and vector spaces
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  • Study the process of converting matrices to Row Echelon Form (REF) and Reduced Row Echelon Form (RREF)
  • Learn how to calculate the rank of a matrix using different methods
  • Explore the concept of linear independence in greater detail
  • Investigate the implications of matrix rank in linear transformations and vector spaces
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify concepts related to matrix dimensions and rank.

sam0617
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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.
 
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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.
 

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