Coincide with R^n: Exploring R^3 & Subspace Differences

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In summary, when someone says that ColA "coincides with" R^n, it means that the space in question is isomorphic to R^n. However, in higher dimensions, there may be multiple R^n spaces embedded within the larger space, and "coinciding with" may refer to being one of those embedded spaces. The difference between "coinciding with" and "spanning" a subspace is that only two subspaces can coincide, while a set of vectors can span a subspace. The column space of a matrix A refers to the space spanned by the columns of A.
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fk378
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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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  • #2
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.
 
  • #3
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.
 

1. What is R^n in mathematics?

R^n refers to a mathematical notation for a space of n dimensions, where n is a positive integer. It is commonly known as the n-dimensional Euclidean space and is a fundamental concept in linear algebra and geometry.

2. What does it mean for two spaces to coincide in R^3?

When two spaces coincide in R^3, it means that they occupy the same three-dimensional space and have the same coordinates, but may have different orientations or directions.

3. How is R^3 different from R^2?

R^3 is a three-dimensional space, whereas R^2 is a two-dimensional space. This means that R^3 has three axes (x, y, z) and can represent three-dimensional objects, while R^2 has two axes (x, y) and can only represent two-dimensional objects.

4. What is a subspace in R^3?

A subspace in R^3 is a subset of the three-dimensional space R^3 that satisfies the four properties of a vector space: closure under addition and scalar multiplication, existence of a zero vector, and existence of additive inverses.

5. How is R^3 used in scientific research?

R^3 is used in various scientific fields, including physics, engineering, and computer graphics, to represent and analyze three-dimensional objects and phenomena. It is also used in data analysis and machine learning for visualizing complex datasets in three dimensions.

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