How do you tell what a vector space will look like from it's spanning set.

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Discussion Overview

The discussion revolves around understanding the visualization of vector spaces based on their spanning sets. Participants explore how to plot vector fields and spanning sets, and how to determine the dimensionality of the space spanned by a given set of vectors.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • One participant expresses difficulty in visualizing vector fields and spanning sets, questioning how to determine the dimensionality of the space they span.
  • Another participant suggests that the number of vectors in a minimal spanning set corresponds to the dimension of the space, emphasizing the importance of identifying dependent vectors that can be excluded.
  • A participant clarifies that their interest lies in the visual representation of vector spaces rather than the mathematical properties alone.
  • Further elaboration indicates that in an inner product space, one can visualize the minimal spanning set as arrows representing vectors, which can be plotted in a Euclidean space if the inner product is valid.
  • It is noted that the visual characteristics of the minimal spanning set are represented by linearly independent arrows in the vector space.

Areas of Agreement / Disagreement

Participants appear to have differing focuses, with some emphasizing mathematical properties of spanning sets while others seek to understand their visual representation. The discussion does not reach a consensus on the best methods for visualization.

Contextual Notes

There is an implicit assumption that the participants are familiar with concepts such as linear independence and inner product spaces, but the discussion does not clarify how these concepts directly relate to visualization techniques.

brandy
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I'm having a hard time visualising them.
How do you plot vector fields
How do you plot spanning sets?
How do you tell if something spans a plane, 3d, a line or more dimensions.
 
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Given a spanning set, determine how many of them are dependent on the others and so can be dropped from the spanning set. The number of vectors in a "minimal" spanning set (so all vectors in the set are independent) is the dimension of the space they span.
 
I know that, and it's not really my question unless I misunderstand the applications of what you just said.
My question pertains to the visible nature of it.
 
brandy said:
I know that, and it's not really my question unless I misunderstand the applications of what you just said.
My question pertains to the visible nature of it.

Hey brandy.

In your vector space can visualize the minimal spanning set as a bunch of arrows that represent the relevant information for the vector space depending on what structure is represented and how they relate to the components in the 'vector'.

If you have an inner product space included in your vector space, you can find the length and orientation of your vectors which means you can actually plot these vectors on a graph of some sort (Euclidean in whatever dimension) and this can be done no matter what kind of vector space you have (as long as it has a valid inner product).

So in the above case, you will get n arrows that are linearly independent and these represent the visual characteristics of the minimal spanning set.
 

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