Question about finding dimensions

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To find the dimension of a vector space, it's essential to determine if the set of vectors forms a basis by checking for linear independence and spanning. The rank of a matrix, which indicates its dimension, can be found by reducing the matrix to Row Echelon Form (REF) or Reduced Row Echelon Form (RREF) and counting the number of non-zero rows. A matrix itself cannot be a basis; rather, it is the rows or columns of the matrix that may form a basis for a vector space. The discussion highlights the importance of clarifying the specific vector space in question when determining its dimension. Understanding these concepts is crucial for accurately assessing the rank and dimensionality of matrices.
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.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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