Graphs, embeddings and dimensions

In summary, the conversation discusses the concept of cellular decomposition in 3-space and its representation as a dual graph. It is mentioned that for certain graphs, a dual foam may not exist in 3-space, leading to the question of whether it is possible in higher dimensions. The idea of embedding a graph in n-space is brought up, with the mention of a theorem that states a foam in n-space can have a dual represented by a complete graph on n+1 vertices. Further discussion is had about finding the required number of dimensions for a dual foam to exist. The conversation ends with the suggestion to research existing literature on the topic.
  • #1
tom.stoer
Science Advisor
5,779
172
Hello,

Let's start with a cellular decomposition of 3-space, a "foam". A foam can be represented by its dual graph: cells and faces are dual to vertices and links.

What about the opposite?

It is clear that one can construct graphs for which no dual foam exists: take a large foam and connect two far-distant, inner vertices with a new link; as this link crosses many cells of the original foam the graph has no dual cellular decomposition in 3-space.

Is there a theorem which says something about higher dimensions?

One can emdedd any graph in 3-space, but for the dual foam this does no longer work. Is there a result showing that the dual foam would live in higher dimensional space? Is anything known about the required number of dimensions for the dual foam? Does it always exist?
 
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  • #2
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  • #3
tom.stoer said:
It is clear that one can construct graphs for which no dual foam exists: take a large foam and connect two far-distant, inner vertices with a new link; as this link crosses many cells of the original foam the graph has no dual cellular decomposition in 3-space.

This is not clear to me.

You should be able to show that for each n, there is a foam in n-space whose dual is the complete graph on n+1 vertices. Once you have that, can you say something about deleting edges from the dual graph? (I don't know the answer)
 
  • #4
I am not sure if I understand.

So you say that in principle it may require n-space?
 
  • #5
It may, or it may not. I don't know.

I'm assuming you are considering convex cells that may be unbounded.

I can't think of a way you could produce a foam in 3-space whose dual is the complete graph on 5 vertices. Can you prove or disprove this?

My idea with the complete graph was: For general n, consider the n+1 vertices of a regular n-simplex (in n-space). Then the corresponding Voronoi cells partition n-space in such a way that the dual graph is the complete graph on n+1 vertices.
 
  • #6
OK, I understand where the confusion comes from. My description starting with foams in 3-space is inspired by qantum gravity which deals with 3-space. Now the problem is that foams in 3-space have duals (graphs) which allow for more complex graphs which no longer have duals in 3-space, but n-space.

So I am interested in finding out more regarding this n.

You can forget about the foam in 3-space for a moment.

My problem is that I am not able to show anything regarding the dimension given a general graph with N vertices. If I undersand you correctly you say that for N = n+1 the graph has a dual foam in n-space and that there is no lower n' < n for which a foam does exist.

If this is true, this answers my question completely.
 
  • #7
I'm sure you can find graphs with arbitrarily many vertices that can be embedded in 3-space (or even 2 or 1). The point of the complete graph was that, by deleting edges, I *think* that you can embed any graph with n+1 vertices in n-space, but I don't know. And it may very well be possible to do it in lower dimensions.

You should see if there's some stuff that's been done in the literature.
 

Related to Graphs, embeddings and dimensions

1. What is a graph?

A graph is a mathematical representation of a network or structure, consisting of a set of vertices (or nodes) and edges (or connections) between those vertices.

2. What are embeddings in graphs?

Embeddings in graphs refer to the process of representing a graph in a lower-dimensional space while preserving its structural and relational properties. This allows for easier visualization and analysis of complex graphs.

3. How do you determine the dimensionality of a graph?

The dimensionality of a graph is determined by counting the number of dimensions (or coordinates) needed to represent all the vertices and edges in the graph. This is often referred to as the embedding dimension of the graph.

4. Why are graphs and embeddings important in data analysis?

Graphs and embeddings are important in data analysis because they allow for the representation and analysis of complex data structures, such as social networks, biological networks, or financial networks. They also enable the application of various machine learning algorithms for tasks like clustering, classification, and prediction.

5. How are graphs and dimensions related?

Graphs and dimensions are related in the sense that the number of dimensions used to represent a graph is directly related to the complexity of the graph. Higher-dimensional embeddings can capture more complex relationships between vertices, but also require more computational resources and may be harder to interpret.

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