Visualizing Subspaces and Subsets (in R3)

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Discussion Overview

The discussion revolves around the concepts of vector spaces, subsets, and subspaces, particularly in the context of R3. Participants explore how to visualize these mathematical constructs and their relationships, with a focus on definitions and examples.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses difficulty in visualizing vector spaces, subsets, and subspaces, seeking a clearer understanding of their differences.
  • Another participant provides definitions and links to resources, noting that subspaces are specific types of subsets with additional properties in the context of vector spaces.
  • A participant uses an egg as an analogy to question whether it can be considered a vector space and how its parts might represent subspaces, prompting further exploration of these concepts.
  • Discussion includes a technical explanation of vector spaces in Euclidean space, emphasizing that certain shapes, like spheres, do not qualify as vector spaces due to the failure of closure under scalar multiplication.
  • It is noted that the only subspaces of R3 are planes and lines that contain the origin (0,0,0), while those that do not are referred to as "linear manifolds."

Areas of Agreement / Disagreement

Participants do not reach a consensus on the visualization of these concepts, and there are competing views regarding the applicability of the egg analogy and the definitions of vector spaces and subspaces.

Contextual Notes

Limitations in the discussion include the reliance on specific definitions of vector spaces and subspaces, as well as the potential ambiguity in the analogy used by one participant.

MaxMackie
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I have trouble visualizing what exactly these are. Vector Space, Subset, Sub Space...
What's the difference and how can I "see" it. I'm a very visual person.
 
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http://en.wikipedia.org/wiki/Vector_space#Definition"

Vector Spaces and their Subspaces are studied in Linear Algebra, while Subsets are a much more general formulation (subspaces are subsets of appropriate vector spaces with certain properties). You visualize these things concepts by doing lots of problems on them.

Here are some more links:
http://home.scarlet.be/~ping1339/Pvect.htm
http://www.cs.odu.edu/~toida/nerzic/content/set/basics.html
http://library.thinkquest.org/C0126820/setsubset.html
 
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Thanks, I've read those over a couple times before and I get the math of it. But, let's say and egg.

Are any of these statements true about the egg?
-The eggs as a whole is a Vector Space and the yolk sack is a Subspace?
-If there was something else within the yolk, we could say that the yolk sack is a Vector Space and the thing inside is a Subspace.

Sorry to use an egg as an example, it just seems to fit.
Thanks!
 
In Euclidean space, Rn, with addition and scalar multiplication defined "componentwise" ((x, y, z)+ (u, v, w)= (x+u,y+ v, z+ w) and r(x, y, z)= (rx, ry, rz)) vector spaces are flat. The sphere, [math]x^2+ y^2+ z^2= R^2[/math], for example, is not a vector space because (1, 0, 0) is in that set but 2(1,0,0)= (2,0,0) is not.

The only subspaces of R3 are planes containing (0,0,0) and lines containing (0,0,0).

(Lines and planes that do NOT contain (0,0,0) are often referred to as "linear manifolds".)
 

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