Orientation consistency of a group

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Discussion Overview

The discussion revolves around the problem of determining the consistency of a set of vectors based on their directional relationships, represented by a distance function. Participants explore the implications of these relationships and seek efficient methods for testing consistency in a mathematical context.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Mike introduces the problem of determining consistency among a set of vectors based on their directional relationships, defined by a distance function d(Ax, Ay).
  • Some participants propose that the distance function should be symmetric, i.e., d(Ax, Ay) = d(Ay, Ax).
  • One participant suggests that the relationships can be represented in a matrix form, where a consistent arrangement would show two blocks of 1's along the diagonal and -1's elsewhere.
  • Mike expresses interest in finding an efficient algorithm for testing the proposed matrix structure to determine consistency.
  • Mike later indicates that he has found a simple method to test for consistency, although the specifics of this method are not detailed.

Areas of Agreement / Disagreement

Participants generally agree on the need for a method to test consistency, but the specifics of the approach and the efficiency of different methods remain open to discussion.

Contextual Notes

The discussion does not resolve the mathematical details of the proposed matrix structure or the efficiency of the algorithms discussed. There are also no explicit definitions provided for the distance function or its properties beyond the initial statements.

SanDiegoMike
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Hello,

I apologise if this has been asked before. I did a search, but quite frankly, I'm not even sure what to search for.

My gut feeling is that this problem has already been well defined and solved, so if someone could point me in the proper direction, that would be great.


Consider a set of n vectors which can point in the positive or negative direction: {A1, A2, ... An }

if Ax and Ay point in the same direction, then d(Ax,Ay) = 1.

Similarly, if they point in the opposite direction, then d(Ax,Ay) = -1.

Now if d(A1,A2) = 1, and d(A2,A3) = 1, then d(A1,A3) must equal 1 to be consistent.

Similarly, if d(A1,A4) = 1 and d(A4,A5) = -1, then d(A1,A5) must equal -1 to be consistent.

[I'm guessing for the trivial case of d(Ax,Ax), the answer would be 1]

the problem:

Assume that I'm given all d(Ax,Ay) for x,y = 1...n. What is an efficient way of determining if this set is consistent?

[note: I can do this brute force, but as n gets big, it becomes a mess.]

Thanks!
-Mike.
 
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You also want d(Ax,Ay) = d(Ay,Ax), I assume.

One thought is that if you look at d(X_i,Y_j) as an entry in a matrix, you would expect the matrix to be permutable to one that has two square blocks of the 1's along the diagonal and -1 elsewhere. For example:

[tex]\begin{pmatrix} 1 & 1 & 1 & 1 & -1 & -1 \\<br /> 1 & 1 & 1 & 1 & -1 & -1\\<br /> 1 & 1 & 1 & 1 & -1 & -1\\<br /> 1 & 1 & 1 & 1 & -1 & -1\\<br /> -1&-1&-1&-1&1&1\\<br /> -1&-1&-1&-1&1&1 \end{pmatrix}[/tex]

If you could prove the matrix had to have that form then you could test for this condition.
I'm assuming permuting a given matrix to that form is less work than "brute force".
 
Thanks Stephen, I do believe you're correct. That seems to be a very clever way forward.

It's been a long time since my undergraduate course work in linear algebra. Can you point me in the direction of an efficient algorithm for testing for such a matrix?
 
no worries, I figured out how to do the test. Very simple indeed. Thanks!
 

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