Infinitely many subspaces in R3 ?

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In R3, subspaces can be classified as zero, one, two, or three-dimensional, with infinitely many lines and planes through the origin. Each line through the origin represents a one-dimensional subspace, while each plane containing the origin is a two-dimensional subspace. The only three-dimensional subspace in R3 is the space itself, while the zero-dimensional subspace consists solely of the zero vector. Discussions highlighted the importance of understanding that all subspaces must include the origin, particularly for newcomers to linear algebra. Clarifying definitions and conditions is essential to avoid confusion about vector spaces and their properties.
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infinitely many "subspaces" in R3 ?

In R3, there are zero, 1, 2, 3 dimensional subspaces. But how can I express them with 'specific' example, using variables x,y,and z?
 
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Mimi said:
In R3, there are zero, 1, 2, 3 dimensional subspaces. But how can I express them with 'specific' example, using variables x,y,and z?

There are infinite many lines through the origin.

That's a hint.
 
And there are infinitely many planes containing the origin! But R3 has only one 3 dimensional subspace.

If by "specific example" you mean a specific example of each: what is the equation of a line through the origin? What is the equation of a plane containing the origin? And as I said, you don't have many choices for an example of a 3 dimensional supspace.
 
In addition, know that every subspace of R^n contains the origin.
 
benorin said:
In addition, know that every subspace of R^n contains the origin.

That's false.

You are assuming the zero vector to be the origin. It doesn't have to be.
 
I did mean to state this only for the usual definitions of scalar multiplication and vector addition; in such a case, R^3 has precisely these subspaces: the trivial ones, namely, the set containing the zero vector and R^3 itself, (which are the zero and 3 dimensional subspaces); each line containing the origin is a subspace of dimension 1 (and there are no others of dimension 1); and lastly, each plane containing the origin is a subspace of dimension 2 (and there are no others of dimension 2).
 
benorin said:
I did mean to state this only for the usual definitions of scalar multiplication and vector addition; in such a case, R^3 has precisely these subspaces: the trivial ones, namely, the set containing the zero vector and R^3 itself, (which are the zero and 3 dimensional subspaces); each line containing the origin is a subspace of dimension 1 (and there are no others of dimension 1); and lastly, each plane containing the origin is a subspace of dimension 2 (and there are no others of dimension 2).

That's better. :biggrin:

I got a True/False question wrong once because I answered it too quickly and it was regarding this. Not directly, but in general.

So, for the sake of being concise, I always try to add the conditions when I make a comment or statement. I forget sometimes, but that's normal.

The reason why I pointed it out here is because the thread starter is relatively new to linear algebra, and he/she should get a feel of what a vector space is. People get mistaken that a vector space actually has 0 as the zero vector all the time.
 
The original post said "subspace of Rn". That is sufficient to conclude that the 0 vector is (0,0). I'm not sure what you mean by "People get mistaken that a vector space has 0 as the zero vector all the time". Are you thinking about a case in which there is an unusual definition of vector addition? Precisely because "the thread starter is relatively new to linear algebra" I think bringing up situations like that when it was clearlys stated that this is in Rn will be confusing.
 

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