What Does It Mean for ColA to Coincide with R^3?

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The discussion clarifies the concept of "coinciding" with R^3 in the context of column spaces (ColA) of matrices. It establishes that a space coinciding with R^n implies it is essentially R^n, particularly for finite-dimensional vector spaces, where every real vector space of dimension n is isomorphic to R^n. The distinction between coinciding with a subspace and spanning that subspace is emphasized, noting that only two subspaces can coincide, while multiple vectors can span the same subspace. The column space of a matrix A is defined as the space spanned by its columns.

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What exactly does it mean when ColA "coincides with" some R^n, say, R^3? What is the difference between coinciding with and spanning the subspace?
 
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What du you mean by ColA?

If a space coincides with R^n then in my understanding it is R^n although for finite-dimensional vector spaces it might be confusing that every real vector space of dimension n is isomorphic to R^n and can therefore be said to coincide with R^n.

Another point to consider is that if you are working in some higher dimensional R^n, say R^5, than there a bunch of R^3's canonically embedded into that R^5. namely those which are the span of three basis vectors, and the wording "to coincide with R^3" might mean "to be one of those R^3's being the span of three basis vectors".

the differnce bettween coincide with some subspace and spanning this subspace is that only two subspaces can coincide while some (finite) set of vectors can span this subspace. A subspace and a set of vectors spanning the subspace are closely related, yet different things.
 
The "column space" of matrix A? If the columns of A (thought of as vectors) span a certain space then the column space of A is that space.
 

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