Equilibrium Points of Directed Graphs

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Discussion Overview

The discussion revolves around the concept of equilibrium points in directed graphs, specifically focusing on directed hypercubes in Rn. Participants explore how to determine the maximum number of equilibrium points possible in such graphs, engaging in theoretical reasoning and mathematical exploration.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant defines an equilibrium point as a vertex that can be reached from any adjacent vertex along an edge and seeks to find the maximum number of such points in a directed hypercube.
  • Another participant suggests considering the projection of the graph on a plane as a method to analyze the problem, although they express difficulty in understanding the initial graph representation.
  • A participant claims that the maximum number of equilibrium points corresponds to the size of the largest set of unconnected vertices, proposing a construction method involving "doubling" the hypercube and using induction to arrive at the conclusion of 2^(n-1) equilibrium points.
  • A later reply acknowledges the previous participant's argument and elaborates on the reasoning, discussing the relationship between known and unknown edge directions as equilibrium points are added, ultimately leading to a similar conclusion regarding the maximum number of equilibrium points.
  • One participant notes they have edited the graph for clarity, indicating an attempt to improve communication of the concept.

Areas of Agreement / Disagreement

Participants generally agree on the approach to finding the maximum number of equilibrium points, as evidenced by the convergence of their arguments towards similar conclusions. However, the discussion includes varying methods and reasoning, indicating that multiple perspectives are present.

Contextual Notes

The discussion includes assumptions about the properties of directed graphs and equilibrium points that may not be universally accepted. There are also unresolved aspects regarding the clarity of the initial graph representation and its implications for the analysis.

Pauly Man
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Suppose I have a directed graph in Rn. Where the graph is a hypercube, (a square in R2, a cube in R3 etc).

Suppose I define an equilibrium point of a directed graph to be a vertex such that I can travel from any adjacent vertex along an edge to that vertex. What is the maximum number of equilibrium points of a directed hypercube in Rn?

As an example in R2:

Code:
*****<*****
*          *  
^          ^
*          *
***** >*****

(For some reason the graph isn't formatting properly, hopefully you can imagine that it is supposed to be a square).

The upper left corner is an equilibrium point for the directed hypercube.

I now wish to work out how to find the maximum number of equilibrium points possible in a directed hypercube in Rn. (Any ideas??)
 
Last edited:
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Unfortunately I could not decipher the plotted graph, but in any case you should consider the proyection of the graph on the plane and then argue, as is usually done in graph theory.
 
It's pretty straightforward to show that this is the same as the size of the largest set of unconnected vertices. For that, you can consider the construction procedure of "doubling" the n-dimensional hypercube and connecting each original points with its double. Then using induction you find 2^(n-1) for n dimensions.

There's probably a prettier way to do it, but graph theory isn't my thing.
 
Originally posted by damgo
It's pretty straightforward to show that this is the same as the size of the largest set of unconnected vertices. For that, you can consider the construction procedure of "doubling" the n-dimensional hypercube and connecting each original points with its double. Then using induction you find 2^(n-1) for n dimensions.

There's probably a prettier way to do it, but graph theory isn't my thing.

Thanks damgo. I sat up last night before going to bed and thought about the problem. I came up with this argument (which I'm pleased to see results in the same conclusion you came up with).

There are n2n-1 edges in a hypercube. If we know that we have one equilibrium point then we know the direction of n edges. So it follows that we don't know the direction of n(2n-1-1) edges. If we know of another equilibrium point then we know that it cannot share any edges with the previous equilibrium point, and so we know the direction of another n edges. We therefore do not know the direction of n(2n-1-2) edges.

Continuing on in this fashion we find that for a equilibrium points we have n(2n-1-a) edges for which we are unsure of the direction.

The maximum number of equilibrium points occurs when we know the direction of every edge, which occurs when:

n(2n-1-a) = 0
a = 2n-1
 
Note that I have edited the graph above, so now it hopefully makes sense).
 

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