SMP Poster day 2024
Mathematics, Sports, Statistics, and other things
Yesterday, my first journal article was published in the Australasian Journal of Combinatorics! It’s completely open-access, so you can find the journal here and a pdf of the article here.
To celebrate, I thought I’d have a go at visualising some of the paper because, while I’m quite happy with the conciseness and completeness of the paper, I think some of the beauty has been obscured behind tables of integers.
In essence, the paper identifies a nice small object, and then gives necessary and sufficient conditions for the existence of a similarly nice object of different sizes. So I think it makes sense to focus on the nice small object that got everything started.
Below is an image of it, and I encourage you to play around with this interactive version on Desmos. It’s made up of 19 points (in black) and 57 triangles (coloured red, blue and green).

Here is a summary of the nice properties that define it:
A set of triangles which satisfies (1) is called a Steiner triple system, or STS. They are very popular objects of study, and it is well known that they only exist if the number of points is one more than a multiple of 6. We call a set of triangles which satisfies (1), (2) and (3) an Almost resolvable when duplicated Steiner triple system, or ARDSTS. The rest of the paper can be summarised as achieving the following:
So we know that for every size where an ARDSTS can exist, one does exist. Nice! But… each example constructed in step (2) has the extra nice property that you can spin it around and the picture doesn’t change except for the labels of the points. (We call something with this symmetry cyclic.) This made them quite a lot easier to find on a computer, but the way we glue them together in step (3) ruins the symmetry. We suspect cyclic ARDSTSs exist for the bigger sizes as well, but we couldn’t prove it. So of course there’s always more work to be done!
My hope is that this post distills the interesting unanswered questions from my honours thesis. The final question relies on various results and definitions which I will try to introduce in the most interesting way possible, occasionally avoiding formalism if it conflicts with reader enjoyment and intuition. I will try and title broad sections so those already familiar can skip if they want to rush ahead. I will assume you are already familiar or able to look up basic graph theory notations and definitions. If ever you crave more of the gruesome details, they are of course to be found in the thesis.

Here we see , the complete graph on 5 vertices. The edges have been coloured so that the edges of one colour form a spanning, 2-regular subgraph. Each colour is called a Hamilton cycle, and the colouring of the graph is called a Hamilton decomposition. A Hamilton cycle provides a path which visits every vertex exactly once and returns to the starting vertex.
The natural question for a given graph is whether or not it has a Hamilton decomposition. The obvious criteria are that the graph must be connected, and even-regular. The less obvious necessary condition is a refinement of the connected condition; more precisely, a -regular graph must be
-edge connected, i.e. there is no set of
edges which, upon deletion, make the graph disconnected.
Exercise: Prove this necessary condition.
A graph which fits the necessary criteria will be called admissible. If every admissible graph had a Hamilton decomposition, then we would be done, but we know of examples where this is not the case, even if we assume a high level of structure in the graph. In general it is still hard to tell if an admissible graph has a Hamilton decomposition, but there are some lovely families of admissible graphs for which we do know a Hamilton decomposition.

One family of graphs for which we know a lot is the Cartesian product of two graphs
and
. (wiki) At each vertex of
, insert a copy of
, and connect equivalent vertices of
when they in adjacent vertices of
.
Exercises: Check that is isomorphic to
. Check that if
is
-regular and
is
-regular, then
is
-regular.
Exercise: (for those who are familiar with graph automorphisms) Verify that .
Of relevance for us are the following results:

Kotzig 1973 [1]: The Cartesian product of two cycles has a Hamilton decomposition.
Foregger 1978 [1]: The Cartesian product of three cycles has a Hamilton decomposition.
Aubert and Schneider 1982 []: If is a 4-regular graph with a Hamilton decomposition, then
has a Hamilton decomposition.
There are stronger results, culminating with Stong (1991) [3], but these results are enough for us to forge ahead towards our final problem.
We borrow the interpretation of a Hamilton cycle in a finite graph as a spanning 2-regular subgraph. This no longer forms a cycle then, as such a cycle would only visit a finite number of vertices, it instead forms a path. We call such a path in an infinite graph a Hamilton double-ray. Then a Hamilton decomposition of an infinite graph is a colouring of the edges so that every colour is a Hamilton double-ray. We will denote by the graph which every Hamilton double-ray is isomorphic to.


Observe in the above two examples some lovely properties. In the distance graph, we have the same chunk of colouring repeated every 6 units, a clever exploitation of the sliding symmetry of the integers. Similarly in the lattice, each colour is self-symmetric under a 180º-rotation, and the two colours are each a 90º-rotation of the other, cleverly exploiting the rotational symmetry of the lattice. I find this to be such a simple and lovely picture, I can’t believe this would be a 21st century observation. Like the six-petal rosette, it should have been noticed countless times throughout history, perhaps a Girih in a Syrian shrine, or painted onto an ancient roman pot. Art historians please get in touch. Otherwise, we should pin down a key difference in the structure of these two infinite graphs.

Informally, we can think of an end of a graph as a distinct direction into which our graph can extend infinitely. Slightly less informally, we say two ends are different if there is some finite vertex-deletion which makes the two ends disconnected. Then we can say that the number of ends of a graph is the maximum number of infinite connected components under some finite vertex-deletion. Then any finite graph has 0 ends. What are other possible values for the number of ends of a graph? The distance graph has 2, deleting a reasonably large chuck of vertices in the middle will produce two infinite connected components, one on the left (a negative end) and one on the right (a positive end). It might seem at first that the lattice has many, corresponding to different angles of escape, but in fact it only has 1. Any finite deletion of vertices might leave some finite components in the middle, but will never leave two infinite connected components. A graph can certainly have more than 2: taking the -star graph and extending each leaf indefinitely produces a
-ended infinite graph, for example. But if a graph does have more than two, we could never hope to visit every vertex in that graph with a single Hamilton double-ray, some end would always be left out. This explains the differing patterns between our two exemplars above. As the distance graph has two ends, and so does a Hamilton double-ray, we can extend each end of the double-ray into each end of the graph quite comfortably. Whereas for the one-ended lattice, we have to carefully wrap our two ends up in a spiralling fashion to, in a sense, make a thicker one-ended spiral.
Unfortunately, there is another obstacle which arises when we begin to consider such infinite graphs. As well as requiring no more than 2 ends, if the graph is one-ended, there may be a parity issue as to why no decomposition can exist. Consider the following two-ended graph :

Note the three dotted edges. Each Hamilton double-ray must pass through this edge-set an odd number of times, as otherwise it would have both its ends on the same side of the graph, which in turn would mean it only visits a finite number of vertices on the other side. As this graph is 4-regular, it would be decomposed into two Hamilton double-rays. Two odds add to an even, but there are 3 edges, so clearly this is not possible. This argument can be generalised and refined in the case where our two-ended graph is of the form , namely, a Hamilton decomposition is only possible if
is even. What a relief it is then, that it is always possible if
is even. The below image suggests the pattern we can apply in such a case.

Erde, Lehner and Pitz 2020 [4]: If and
are infinite, finite-degree graphs, each with a Hamilton decomposition into double-rays, then
has a Hamilton decomposition into double-rays.

In general, it would be nice if has a Hamilton decomposition, this would be a nice generalisation of Foregger’s and Aubert and Schneider’s results for finite graphs, either viewing
as an infinite cycle in which case Foregger’s result would apply, or by viewing
as the lattice which already has a Hamilton decomposition, in which case Aubert and Schneider’s result would apply. If
is even, then we already know that
has a Hamilton decomposition as above, so we can use Erde, Lehner and Pitz’s result to then say that
has a Hamilton decomposition. If
is odd, then
doesn’t have a Hamilton decomposition, so we can’t approach it this way. We already know it’s possible for one odd case, namely
, in which case we simply have the lattice. Understanding any symmetry and pattern in the even case would be incredibly insightful for determining the odd case, but the construction becomes a bit too complex, and the pictures a bit too messy, that it would take a very careful hand to draw out the decomposition in a way we could wrap our heads around it. If you can manage to draw out the decomposition for
, this would already be a more concrete example than anything I have managed to draw, and probably provide quite a valuable mental image of how to translate this to odd
. Alternatively, it seems that the simplest odd case
has all the right components for its own lovely symmetric solution, given that a decomposition would have 3 colours and the graph has an order 3 symmetry. Such a solution would provide its own insight into the other odd cases. So there is no reason a clever human brain couldn’t figure out a nice solution directly, perhaps inspired by the lattice decomposition. Alas, so far it seems that clever human brain might not be mine, but it might be yours!
[1] Marsha F. Foregger. Hamiltonian decompositions of products of cycles. Discrete Mathematics, 24:251–260, 1978.
[2] Jacques Aubert and Bernadette Schneider. Decomposition de la somme cartesienne d’un cycle et de l’union de deux cycles hamiltoniens en cycles hamiltoniens. Discrete Mathematics, 38:7–16, 1982.
[3] Richard Stong. Hamilton decompositions of Cartesian products of graphs. Discrete Mathematics, 90:169–190, 1991.
[4] Joshua Erde, Florian Lehner, and Max Pitz. Hamilton decompositions of one-ended Cayley graphs.
Journal of Combinatorial Theory, B(140):171–191, 2020.
I recently submitted my honours thesis, and for posterity (or anybody who might actually be interested) it is available for download as a PDF here.
Hamilton cycle, Hamilton decomposition, graph, Cayley graph, Hamilton double-ray, Alspach’s Conjecture, Bermond’s Conjecture, Alspach and Rosenfeld’s Conjecture, infinite graph, locally finite graph.
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