Subspaces, R^n How to visualize?

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Discussion Overview

The discussion revolves around understanding and visualizing vectors in R^n, particularly in the context of subspaces. Participants explore the nature of R^n, the challenges of visualization, and the conditions for a set to be considered a subspace.

Discussion Character

  • Exploratory
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant expresses difficulty in visualizing R^n and questions its nature, suggesting a need for online tutorials on subspace problems.
  • Some participants argue against the necessity of visualization, stating that R^n is simply the set of n-tuples of numbers and that attempting to visualize it may be unhelpful.
  • Another participant mentions that diagrams can be drawn in higher dimensions, indicating that visualization can occur even in R^4 and beyond.
  • A participant seeks clarification on whether a specific set U, defined as { X in R^n | AX = 0 }, is a subspace, and questions the interpretation of the definition.
  • Responses emphasize the importance of checking the axioms of a vector space to determine if U is a subspace, including the need to verify closure under addition and scalar multiplication.
  • There is a suggestion that the trivial solution (the zero vector) is a subspace on its own, which may relate to the discussion on the homogeneous solutions of the matrix A.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the necessity or utility of visualizing R^n. There are competing views on how to approach the concept of subspaces, particularly regarding the interpretation of definitions and the conditions that must be satisfied.

Contextual Notes

Some participants highlight the need to check specific axioms for subspaces, but there is no resolution on the interpretation of the conditions for U or the implications of the trivial solution.

bobby13
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Hey,

I have no problems dealing with vectors in space, R^3. But I am having a lot of trouble with vectors in R^n. One of my basic questions is what is R^n. I mean doesn't the vector space already encompass everything? How do I visualize R^n vectors? Can you recommend any good online tutorials that explain how to approach problems in the subspace units?

Any help would be great!

Thanks!
 
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Don't visualize it. Period. These are not spaces that have any physically visible manifestation really, so don't bother - it is unnecssary to do so, and unhelpful in the long run if you only attempt mathematics that is 'visualizable'.

R^n is just the set of n-tuples of numbers, and that is all you need.
 
matt grime said:
Don't visualize it. Period. These are not spaces that have any physically visible manifestation really, so don't bother - it is unnecssary to do so, and unhelpful in the long run if you only attempt mathematics that is 'visualizable'.

R^n is just the set of n-tuples of numbers, and that is all you need.

I can't even visualize R^3 half the time.

Look at the bright side of R^n, you'll never be asked to draw a graph.
 
I dunno, I've seen people draw diagrams in much uglier spaces than than R^4. That's where the real fun begins. :smile:
 
Thnx! I think I am starting to get the hang of this stuff, after constantly and constantly reading over notes and trying examples. Quick question. In one example it says,

Let U = { X in R^n | AX = 0 (Zero Vector)}
Is U a subspace?

Am I correct in reading the question as, X is in R^n if and only if AX = 0. That is, when checking all three conditions, I should get the zero vector?
 
bobby13 said:
Thnx! I think I am starting to get the hang of this stuff, after constantly and constantly reading over notes and trying examples. Quick question. In one example it says,
Let U = { X in R^n | AX = 0 (Zero Vector)}
Is U a subspace?
Am I correct in reading the question as, X is in R^n if and only if AX = 0. That is, when checking all three conditions, I should get the zero vector?
It is the definition of a set U. It says X is in U iff X is a vector in R^n such that AX=0. Now you have to determine whether U satisfies the axioms of a vector space.
 
bobby13 said:
Thnx! I think I am starting to get the hang of this stuff, after constantly and constantly reading over notes and trying examples. Quick question

that is how we all learned mathematics.

In one example it says,
Let U = { X in R^n | AX = 0 (Zero Vector)}
Is U a subspace?
Am I correct in reading the question as, X is in R^n if and only if AX = 0.

not quite, you should read it as X is in U if AX=0, where A is some fixed matrix, or that U is the subset of vectors x in R^n such that Ax=0. You need to show that U satisfies the axioms of a subspace, ie 0 is in U, and if x and y are in U that x+y is in U, and that if x is in U and t is a real number that tx is in U.



That is, when checking all three conditions, I should get the zero vector?

no, that doesn't follow at all
 
bobby13 said:
Thnx! I think I am starting to get the hang of this stuff, after constantly and constantly reading over notes and trying examples. Quick question. In one example it says,
Let U = { X in R^n | AX = 0 (Zero Vector)}
Is U a subspace?
Am I correct in reading the question as, X is in R^n if and only if AX = 0. That is, when checking all three conditions, I should get the zero vector?

Are you talking about the all the homogeneous solutions for the matrix A?

If that is the case, why not try yourself and see if it is a subspace. All you need to do is check if it is closed under addition and scalar multiplication.

In order words, show that if x,y is in U, then x+y is in U, and if k is any scalar, then kx is in U.

Note: If it has only one solution for the homegeneous system, then we know it is the trivial solution. The trivial solution is the zero vector itself, which creates a subspace all on it's own.
 
Last edited:

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