Exploring the Geometrical Objects Represented by Subspaces of V3(R)

In summary, the question is asking what kind of geometrical objects are represented by the various subspaces of V3(R) and the answer includes one-dimensional subspaces as straight lines passing through the origin, two-dimensional subspaces as planes containing the origin, and three-dimensional subspaces as the entire space itself. The question may seem simple, but it is important to understand the different possibilities within these subspaces in order to fully comprehend the various geometrical objects they represent.
  • #1
ashnicholls
50
0
Here is a question I have been given:

V3(R) represents the set of vectors in 3-dimensional space. What kind of geometrical objects are represented by the various subspaces of V3(R)? For instance the 1-dimensional subspace S with basis { (0, 1, 0)T } represents the set of vectors parallel to the y-axis, so the set of points with position vectors in S is the y-axis itself. Since any 3-dimensional subspace of V3(R) is V3(R) itself, you need only consider subspaces of dimension less than 3. You should find that the range of different kinds of geometrical object represented by the subspaces of V3(R) is quite restricted.

I do not know what this is asking.

Does it mean looking at planes?

But surely there is more to the question than that?

Has anyone got any clues or tips.

Cheers
 
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  • #2
ashnicholls said:
Here is a question I have been given:

V3(R) represents the set of vectors in 3-dimensional space. What kind of geometrical objects are represented by the various subspaces of V3(R)? For instance the 1-dimensional subspace S with basis { (0, 1, 0)T } represents the set of vectors parallel to the y-axis, so the set of points with position vectors in S is the y-axis itself. Since any 3-dimensional subspace of V3(R) is V3(R) itself, you need only consider subspaces of dimension less than 3. You should find that the range of different kinds of geometrical object represented by the subspaces of V3(R) is quite restricted.

I do not know what this is asking.

Does it mean looking at planes?

But surely there is more to the question than that?

Has anyone got any clues or tips.

Cheers
Any one-dimensional subspace of R3 is a straight line through the origin. Any two-dimensional subspace of R3 is a plane containing the orgin. Of course, the only three-dimensional subspace of R3 is R3 itself.

You can think of the set containing only the 0 vector itself as being a zero-dimensional subspace- although some texts refuse to allow that as a vector space.
 
  • #3
Yes ok thank, that is what I thought it roughly was, but what is the question asking?

Cheers
 
  • #4
For you to describe the possible subspaces. They are planes, or lines, and must pass through the origin. What else could it be asking you to write down?
 
  • #5
O that's just seems very simple?

Cheers
 
  • #6
There's no reason why every question has to be fiendishly hard. Just ask yourself if you've answered the question to the best of your ability - that is all you can ever do.
 

1. What is a vector space?

A vector space is a mathematical structure consisting of a set of vectors that can be added together and multiplied by scalars (numbers). It follows specific axioms or rules, such as closure, associativity, and distributivity, to define operations within the space.

2. How is a vector space different from a regular space?

A vector space is different from a regular space in that it has a defined set of rules that must be followed, while a regular space does not. In a regular space, addition and multiplication are not necessarily defined operations, while in a vector space they must adhere to specific axioms.

3. What is the dimension of a vector space?

The dimension of a vector space is the number of vectors required to span the entire space. It is equal to the number of elements in a basis for the space, which is a set of linearly independent vectors that can be used to express any vector in the space.

4. Can a vector space have an infinite dimension?

Yes, a vector space can have an infinite dimension. This occurs when the space contains an infinite number of linearly independent vectors that can be used to span the space.

5. What are some examples of vector spaces?

Some examples of vector spaces include the set of all real numbers, the set of all polynomials of a certain degree, and the set of all continuous functions on a given interval. Other examples include the set of all matrices of a certain size, the set of all solutions to a linear equation, and the set of all possible outcomes of a probabilistic experiment.

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