- The Recursive Algorithm
- Minimal Length
- Superpermutations as Paths through a Graph
- The Williams Construction
- Local Rules
- 2-cycle graphs
- References

A **superpermutation**[1] is a string formed from a set of *n* symbols such that **every one** of the *n*! permutations of those symbols appears **exactly once** as a contiguous block of *n* characters in the string. The set of symbols can consist of anything at all, but for the sake of simplicity we will use decimal digits, starting from 1. To be clear, though, we are *not* discussing
the representations of integers by digits in a particular base. For our purposes, these strings of digits are
just strings of arbitrary symbols.

Here are some superpermutations, for *n* = 1, 2, and 3:

1

121

123121321

To make it a little easier to separate out the contiguous blocks, they have been marked here with various typographical features. So for *n*=3, it’s not too hard to read off all six permutations:

123, 231, 312, 213, 132 and 321.

In the last example, most of the characters are used as parts of two or three different permutations. Clearly we *could* build a superpermutation just by listing all the individual permutations, one after another with no overlap, but the interesting features of these strings revolve around finding systematic ways to construct them that yield significantly shorter results than that.

In the *n*=3 example, the length of the string is 9, so there are a total of 7 **frames**: contiguous blocks of *n* characters. That means one of the frames must not
contain a permutation, and indeed, the fourth frame is 121,
which contains two 1s and no 3, so it is not a permutation. For *n*≥3 it is unavoidable that some frames will be wasted.

Here are a couple more examples, for *n*=4 and *n*=5:

123412314231243121342132413214321

123451234152341253412354123145231425314235142315423124531243512431524312543121345213425134215342135421324513241532413524132541321453214352143251432154321

The lengths of the superpermutations we have exhibited so far for *n* = 1, 2, 3, 4, 5 are *L*(*n*) = 1, 3, 9, 33 and 153. You might notice that these all obey the equation:

L(n) =L(n–1) +n!

and in fact we have:

L(n) = 1! + 2! + ... +n!

This formula is a result of a simple **recursive algorithm** used to construct these examples, which I learned from an excellent overview of superpermutations by Nathaniel Johnston[1]. Given a superpermutation on *n*–1 symbols, to obtain one with *n* symbols you perform the following steps:

- Write out the permutations in the original superpermutation, in the order in which they appear.
- Duplicate each of them, placing the new symbol
*n*between the two copies. - Squeeze the result back together again, making use of all available overlaps.

For example, to get from *n*=2 to *n*=3, we write:

121

12 | 21

12 3 12 | 21 3 21

123121321

and to get from *n*=3 to *n*=4, we write:

123121321

123 | 231 | 312 | 213 | 132 | 321

123 4 123 | 231 4 231 | 312 4 312 | 213 4 213 | 132 4 132 | 321 4 321

123412314231243121342132413214321

How can we be sure that the new string will contain every possible permutation of *n* symbols? If you take any permutation of *n* symbols and read off whatever comes after the *n*, in cyclic order, you will
obtain a shorter permutation of *n*–1 symbols. For example, taking 15423 and reading after the 5 gives you 4231. There will be exactly *n* different longer permutations that give
each particular shorter one; these are just rotations of the same sequence: 15423, 54231, 42315, 23154 and 31542. Conversely, if we take two copies of the shorter one, and put an *n* between them, then there will be *n* consecutive *n*-frames starting from the first which contain
all the longer permutations associated with the shorter one: 4231 5 4231 contains 42315, 23154 etc. Since the algorithm we’ve described applies
this to a list of
*all* the shorter ones, in the end it will necessarily generate all the longer ones.

Why does this process always increase the length of the string by exactly *n*!? First, note
that however many characters we gain when we unpack the *L*(*n*–1) characters
of the original superpermutation into (*n*–1) × (*n*–1)! characters explicitly
listing all the individual permutations, we will lose exactly the same number again when we squeeze
the adjacent copies of those permutations back together again at the end. So the net gain comes from
the *duplication* of those (*n*–1) × (*n*–1)! characters, plus the (*n*–1)! copies of the new symbol, *n*. So the gain is:

(n–1) × (n–1)! + (n–1)! =n!

We have a simple algorithm that is guaranteed to generate superpermutations for any *n*, and
a simple formula telling us the length of those superpermutations:

L(n) = 1! + 2! + ... +n!

So, one natural question to ask is whether it’s possible to do any better than this. For *n*=1,2,3,4 it is not too hard to check, with some computer assistance, that the recursive algorithm yields superpermutations that are
as short as possible, and that are unique up to an overall renumbering of the digits. So does it
always yield a superpermutation of the **minimum possible length** for each *n*?

For about twenty years, no one had any counterexamples to this plausible-sounding conjecture.
But from 2013, some cracks began to appear. First, Nathaniel Johnston showed[2] that for *n*≥5, superpermutations of the same length as that produced by the algorithm could not be unique:
there would be an increasingly large amount of freedom to renumber some parts of the string independently of others, without changing the length.

In 2014, Ben Chaffin found[3], after an exhaustive computer search, that although
there were no shorter superpermutations for *n*=5, there were a total of 8 different ones of the same length. And while the recursive algorithm always generated strings with wasted characters placed in a certain pattern,
6 of Chaffin’s 8 superpermutations deviated from that pattern, despite retaining the same overall length.

Very soon after Chaffin’s result, Robin Houston announced[4] the discovery of
a superpermutation for *n*=6 with only 872 characters, one less than *L*(6)=873. He found this
(and more than a thousand others of the same length) by treating the construction of superpermutations
as an example of the
Travelling Salesman Problem, and using algorithms designed to generate solutions
to that problem. So the original minimal superpermutation conjecture was proved false!

By applying the usual recursion to Houston’s shorter *n*=6 superpermutations, it becomes possible to generate superpermutations for any greater value of *n* that are also one character shorter than *L*(*n*).

However, it turns out that for *n*≥7, there is a way to do even better. By adapting a construction devised
by Aaron Williams[5] in 2013, it’s possible to generate superpermutations of length:

L_{2}(n) =n! + (n–1)! + (n–2)! + (n–3)! +n– 3

This construction only works for *n*>3, and for *n* < 6 it produces **longer** strings than the standard algorithm. But at *n*=6 it produces strings of equal length (but a different structure) than the standard algorithm, and for *n*≥7, it yields strings that are **shorter** than the standard ones by an increasing margin:

*L*_{2}(7)=5908, which is 5 shorter than*L*(7)=5913*L*_{2}(8)=46 205, which is 28 shorter than*L*(8)=46 233*L*_{2}(9)=408 966, which is 147 shorter than*L*(9)=409 113- In general,
*L*(*n*) –*L*_{2}(*n*) =*L*(*n*–4) –*n*+ 3

You can see examples of these superpermutations here:

To understand both Robin Houston’s method and the Williams construction, we need to think of the
set of permutations for a given *n* as a kind of graph. In this graph, each permutation is a vertex, and (at least to start with) there is a **directed edge** joining every permutation to every other permutation. Associated with each edge is a **weight**
given by the least number of characters we can append to the first permutation (and then drop from the start) in order to change it into the second permutation.

For example, for *n*=3, if we start with 123, we can ask how it can be turned into each of the other five permutations:

- 123 + 1 → 231, so the edge to 231 has weight 1
- 123 + 12 → 312, so the edge to 312 has weight 2
- 123 + 213 → 213, so the edge to 213 has weight 3
- 123 + 132 → 132, so the edge to 132 has weight 3
- 123 + 21 → 321, so the edge to 321 has weight 2

Weights like this quantify the number of characters we need to add as we build up a superpermutation by starting at one vertex in the graph and then visiting all the other vertices, preferably with the shortest possible total weight. A path through a graph that visits each vertex exactly once is known as a Hamiltonian path, and the problem of finding a Hamiltonian path through a directed graph that minimises the total weight of all the edges traversed is a variation of the Travelling Salesman Problem.

One immediate simplification we can make is to remove edges, like the one from 123 to 312, that involve adding two or more characters such that we pass through *another* permutation along the way. As soon as we add 1 after 123, we have 231, so it would make no sense in terms of a superpermutation to think of bypassing 231 and going straight from 123 to 312. We will describe edges like this as **improper**, and in everything that follows we will
assume that they have been excluded from the graph.

Having taken away the improper edges, every vertex will have exactly one weight-1 edge and one weight-2 edge leaving it, and also exactly one weight-1 edge and one weight-2 edge reaching it.

Robin Houston found the superpermutations of length 872 for *n*=6 by setting up a graph like this, and then
searching for low-weight Hamiltonian paths using software dedicated to that problem. There are some technical
issues regarding the kind of graphs and paths that different programs deal with, which you can read about in his paper[4].

The standard, recursive algorithm finds a path through these graphs that is endowed with a highly regular, recursive structure.

In the images above, we have omitted arrows on the weight-1 edges, which are the red circular arcs; these are
always traversed **counterclockwise**. And we have
omitted labels for the permutations for *n*=5, to avoid clutter. In the standard construction, we always have (so long as the weights mentioned are positive):

- 1 edge of weight
*n*–1 - 4 edges of weight
*n*–2 - 18 edges of weight
*n*–3 - 96 edges of weight
*n*–4 - In general,
*k*^{2}(*k*–1)! edges of weight*n*–*k*, for 1≤*k*≤*n*–1

When we apply the recursive construction to obtain a new superpermutation with *n* increased by 1,
all the edges in the original path have their weight increased by 1, and the new weight-1 edges link those permutations that are all descended from the same lower-order permutation.

To adapt the work by Aaron Williams on Hamiltonian paths through the symmetric group[5] to the problem of constructing superpermutations, we need to pare down the graphs so they **only** contain edges of weight 1 and weight 2.

In the languge of group theory, the set of permutations of *n* objects is known as the symmetric group
on *n* letters, *S*_{n}. There are a few different ways to think about the multiplication
of elements of this group, but we will adopt the following: we will take the permutation 123...*n* to be
the identity of the group, and we will treat any permutation with the digits in a different order as
a function that takes one ordered *n*-tuple and spits out a new *n*-tuple containing the same
entries as the first, but rearranged in the new order. So by 52314, we mean a function that, when fed
any (*p*_{1}, *p*_{2}, *p*_{3}, *p*_{4}, *p*_{5}),
gives the result (*p*_{5}, *p*_{2}, *p*_{3}, *p*_{1}, *p*_{4}). When we multiply one permutation by another on the right, we compose these functions, with
the rightmost one applied last.

When we move from a permutation to its successor along a **weight-1 edge**, that amounts to multiplying the
original permutation by the permutation 2345...*n*1, which simply rotates everything one place to the
left. We will call this permutation σ.

When we move from a permutation to its successor along a **weight-2 edge**, that amounts to multiplying the
original permutation by the permutation 345...*n*21, which rotates everything two places to the
left, and then swaps the order of the two entries that it moved from the start to the end. We will call
this permutation δ.

It turns out that these two permutations are enough to generate the whole
group: every element can be written as some product built up from these two (or the empty product, which
is just the identity). So any *g* in *S*_{n} can be written in a form like
σ σ δ σ ... with some finite number of terms. This means we can certainly *reach* every permutation, starting from the identity, using only
weight-1 and weight-2 edges. However, that is not enough to guarantee that we can find a Hamiltonian path,
which needs to visit each permutation exactly once.

Williams[5] proved that the graph on the symmetric group generated by a slightly different
pair of permutations *is* Hamiltonian. He called his permutations σ and τ, and as you might guess,
we have chosen to call the weight-1 edge permutation σ because it is exactly the same as Williams’s σ. But his τ is the permutation 21345...*n* that transposes
the first two entries. The good news is that most of the beautiful work that Williams has done with his choice of permutations can
be adapted, without much trouble, to use our permutations σ and δ instead.

To explicitly construct a Hamiltonian path through the symmetric group, Williams first proves that you can
construct a **cycle cover** of the group that consists of just two cycles, which can then be cut and spliced
to form a path that visits each vertex once.

A **cycle cover** is a set of disjoint loops through the graph, such that every vertex belongs to exactly one loop. Given a cycle cover, every vertex is assigned **exactly one edge that reaches it, and exactly one edge that leaves it**. In fact, if you just supply a list of directed edges and forget which cycles they came from, that is
enough information to reconstruct the cycles themselves, because you can start at any vertex, follow the edges until you get back where you began, and if there are any unused edges you repeat the process until you are done.

One simple example of a cycle cover in our graph is the one containing all the weight-1 edges. Since every vertex has one weight-1 edge reaching it and one leaving it, we can just following these edges around in loops. Each loop will contain *n* vertices, and there will be (*n*–1)! such loops. We will call these loops,
comprised solely of weight-1 edges, **1-cycles**.

To construct his cycle covers, Williams starts with a structure he calls an **alternating cycle**. Our
version of this will be as follows: take any vertex, and then repeatedly multiply by δ, then σ^{–1}, then δ, then σ^{–1} ... until you loop back to where you
started. This corresponds to the recipe: follow a weight-2 edge, then a weight-1 edge *backwards*, and
repeat until you return to your starting point. That might sound a bit shocking in the context of a directed
graph, like driving the wrong way up a one-way street, but don’t worry, this is just a kind of
temporary roadworks that will be dismantled once it serves its purpose.

In concrete terms, the combined permutation δ σ^{–1} = 1345...*n*2 just performs a left rotation on the last *n*–1 entries, leaving the first unmoved. This means that applying it
repeatedly will take you back where you started after *n*–1 steps, but because we are including
the vertices produced when multiplying by δ alone, we produce loops of size 2(*n*–1). For example,
starting at 12345, we obtain the alternating cycle:

12345 × δ ⇒ 34521 × σ^{–1}←

13452 × δ ⇒ 45231 × σ^{–1}←

14523 × δ ⇒ 52341 × σ^{–1}←

15234 × δ ⇒ 23451 × σ^{–1}← back to start

We note two things: the original first entry, 1, just shuttles back and forth between the first and last position. And the other entries, 2345, are always in the same cyclic order if we drop the 1 and just pay attention to
what’s left. So, given any choice of *n*–1 symbols in a particular cyclic order, we can
construct an alternating cycle by placing the missing symbol at the start and then multiplying by δ and
σ^{–1} in turn. The specific alternating cycle we get will not depend on the *precise* order in which the *n*–1 symbols were supplied, because all *n*–1 rotations will appear somewhere
in the same cycle.

Williams proves that *any* cycle cover of our graph can be constructed in the
following way: choose some set (possibly the empty set) of disjoint alternating cycles. Then take all the
weight-1 edges in the graph, **throw away** any that appear in our choice of alternating cycles, and
in their place use the weight-2 edges from the same alternating cycles.

Why does this give us a cycle cover? When we start with just the weight-1 edges, we know they form a cycle cover, comprised of all the 1-cycles. For each weight-1 edge we throw away because it appears in an alternating cycle, there are two vertices affected: the one at the start of the edge and the one at the beginning. But the one at the beginning, when it loses a weight-1 edge that leaves it, gains a weight-2 edge from the alternating cycle that leaves the same vertex. And the one at the end, when it loses a weight-1 edge that reaches it, gains a weight-2 edge from the alternating cycle that reaches the same vertex.

To form a cycle cover containing just two cycles, our version of the construction goes as follows:
take the *n*–1 pairs of cyclically consecutive digits (1,2), (2,3), ..., (*n*–2, *n*–1), (*n*–1, 1), and call them (*r*, *m*). For each (*r*, *m*),
take the (*n*–3)! permutations of the symbols between 1 and *n*–1 that do not include (*r*, *m*), and call these strings * q*. Then for each of these (

These (*n*–1) (*n*–3)! cycles will all be disjoint. Whenever *m* and *r* are the same the
*n**r** q* will be distinct modulo rotations because of the different

In total, these alternating cycles will contain:

- (
*n*–1)^{2}(*n*–3)! weight-1 edges - (
*n*–1)^{2}(*n*–3)! weight-2 edges

When we take the *n*! weight-1 edges in the graph and discard the ones from the alternating cycles, we end up with a cycle cover containing:

*n*! – (*n*–1)^{2}(*n*–3)! weight-1 edges- (
*n*–1)^{2}(*n*–3)! weight-2 edges

This means that the **total weight** associated with all of the edges in the cycle cover will be:

n! + (n–1)^{2}(n–3)!

=n! + [(n–1)(n–2) + (n–2) + 1] (n–3)!

=n! + (n–1)! + (n–2)! + (n–3)!

Now, Williams goes on to prove that this particular cycle cover contains **exactly two cycles**.
His proof is quite long, so we won’t repeat it here. But if we take that for granted, we can now
easily see how to construct a Hamiltonian path from these two cycles. The steps are:

- Pick any vertex
*v*that has a**weight-2 edge**leaving it, in this cycle cover, but whose weight-1 edge leads to the*other*cycle. - Identify the weight-2 destination for that vertex, call it
*s*, and make it the start of our Hamiltonian path. - Follow the cycle cover edges from
*s*around the cycle all the way back to*v*, but then ... - ... instead of following the original weight-2 edge from
*v*, follow the unique weight-1 edge that leaves*v*. - This takes us onto the other cycle of the pair, arriving at some vertex
*u*. What’s more, when we arrive at*u*, the cycle cover will have assigned a weight-2 edge arriving at*u*, which we now discard. - Follow the cycle cover edges from
*u*around the second cycle, as far as we can go without coming back to*u*. We will have visited every vertex in the graph, so we’re done.

What is the length of the superpermutation we obtain this way? Our cutting and splicing of the loops discards two weight-2 edges and adds one weight-1 edge, which reduces the overall weight by 3. And in addition to the edge weights, we need to include the length of the initial permutation in our string. So we have a total length for this construction of:

L_{2}(n) =n! + (n–1)! + (n–2)! + (n–3)! +n– 3

You can download the source code for a command-line C program that generates superpermutations with this method: SuperPermutations.c

As well as the construction via alternating cycles, Williams states some simple local rules for determining the edges in his cycle covers. We can adapt his rules to our own choice of generating permutations, and they actually turn out to be even simpler.

Given any permutation of 1 ... *n*:

- If the first digit in the permutation,
*f*, is not equal to*n*, and the digit 1 + ((*f*–2) mod (*n*–1)) is cyclically the first entry to the right of*n*in the block that excludes the first digit, choose weight 2. - Otherwise choose weight 1.

For example, the only permutations followed by weight-2 edges in our cycle cover for *n*=4 are:

1243 | f=1 | 1 + ((f–2) mod (n–1)) = 3 |

1324 | ditto | |

1432 | ditto | |

2134 | f=2 | 1 + ((f–2) mod (n–1)) = 1 |

2341 | ditto | |

2413 | ditto | |

3142 | f=3 | 1 + ((f–2) mod (n–1)) = 2 |

3214 | ditto | |

3421 | ditto |

These edge rules will send any permutation either around a small cycle of length (*n*–1)(*n*–2),
or a large cycle that contains all the other permutations.

The elements of the **small cycle** can be characterised
by the rules:

- The first digit,
*f*, is**not equal**to*n*. - The last digit is 1 + (
*f*mod (*n*–1)). Note that this also will**never equal***n*. - If we drop
*n*from the permutation, the result will be some rotation of*n*–1,*n*–2, ..., 3, 2, 1.

Note that we have *n*–1 choices for the first digit *f*, and then the only freedom that
remains is which of *n*–2 slots (neither the first nor the last) we choose for *n*. So the
total number of permutations is (*n*–1)(*n*–2).

The small cycle has a regular pattern of edge weights, comprising runs of *n*–3 edges of
weight 1 followed by a single edge of weight 2, with the pattern repeated *n*–1 times. For example, the small cycle in our cycle cover for *n*=5 has the 12 permutations:

14352 →

43521 →

35214 ⇒

21453 →

14532 →

45321 ⇒

32154 →

21543 →

15432 ⇒

43251 →

32514 →

25143 ⇒

Each weight-1 edge shifts the position of *n* one place to the left, within the allowed *n*–2 slots, until it gets as far left as allowed and we need a weight-2 edge to move it back to the right. In each block of *n*–2 vertices between the weight-2 edges, *n* occupies the same cyclic position with respect to the other *n*–1 digits, but then at each weight-2 edge the digit to the right of *n* is cyclically increased.

If we replace any of the weight-2 edges in the small cycle with a weight-1
edge, that new edge will always take us out of the small cycle into the large cycle (since it will shift *n* from the second slot into
the first slot). So this provides us with a systematic method
for choosing where to cut and stitch the two loops together:

- Start with the permutation:

Clearly this satisfies the rules for lying in the small cycle.*p*=*n*–1,*n*–2, ..., 3, 2,*n*, 1 - If we apply a backwards weight-2 edge to
*p*, we get:

This satisfies the rules for lying in the small cycle, and also the rules for being followed by a weight-2 edge. So it is the predecessor of*q*= 1,*n*,*n*–1,*n*–2, ..., 3, 2*p*in the small cycle, reaching it with a weight-2 edge. - To build our superpermutation, start at
*p*, apply the edge rules to move around the small cycle until we reach*q*, then take a weight-1 edge from*q*to:

This is clearly*r*=*n*,*n*–1,*n*–2, ..., 3, 2, 1**not**in the small cycle, so it must be in the large cycle. So now we move around the large cycle until we have visited every permutation.

In much of the work that has been done with superpermutations, it is a common practice to start at
the identity permutation, 1245...*n*. But we can easily convert the results of this method to start
there, just by renumbering all the digits accordingly.

You can download some JavaScript code that generates superpermutations with this method: Supermutate.js

A third way in which we can understand our version of the Williams construction is via the notion of **2-cycle graphs**. By a **2-cycle**, we mean a cycle in the permutations graph where the successive permutations
are connected by a repeating pattern of one weight-2 edge followed by *n*–1 weight-1 edges. The product of all these edges, as permutations themselves, is δ σ^{n–1} = δ σ^{–1}, which as we have already seen amounts
to a left rotation of the last *n*–1 entries of the permutation, leaving the first entry untouched.
So after repeating this pattern of edges *n*–1 times, visiting a total of *n*(*n*–1)
permutations, the cycle returns to its starting point. For example, for *n*=4, if we start with a weight-2 edge leaving 1234:

1234 ⇒ 3421 → 4213 → 2134 →

1342 ⇒ 4231 → 2314 → 3142 →

1423 ⇒ 2341 → 3412 → 4123 → back to start

In the standard recursive construction, the superpermutation consists of (*n*–2)! disjoint 2-cycles strung together, each one starting from the first weight-1 edge in the pattern, and where the final weight-2 edge that would close the cycle is replaced by a suitable edge of higher weight that moves to the next 2-cycle in the sequence.

Each 2-cycle can be characterised by the choice of the first entry of the permutations from which there are weight-2 edges, and a cyclic order for the remaining *n*–1 entries.
We will write a 2-cycle with the notation *m*|*q*, where *m*
is the first entry and *q* gives the remaining part, which can be rotated freely without changing the 2-cycle.
For example, the 2-cycle shown above is 1|234 = 1|342 = 1|423. We can make a standard choice of the 2-cycle label by
rotating *q* so that the lowest digit it contains appears first, but sometimes it will be convenient to rotate it into other positions.

The permutations that lie in the 2-cycle *m*|*q* are precisely those of the form:

rot(mrot(q))

where by rot we mean any rotation. The rotations of *q* take us to each of the permutations *m* rot(*q*) that are followed
by a weight-2 edge, while the rotations of the whole permutation take us to the permutations
followed by weight-1 edges, since traversing a weight-1 edge corresponds to a left rotation.

When are two 2-cycles, *m*_{1}|*q*_{1} and *m*_{2}|*q*_{2}
disjoint, and when do they intersect?

- If
*m*_{1}=*m*_{2}=*m*but*q*_{1}≠*q*_{2}modulo rotations, then*m*|*q*_{1}and*m*|*q*_{2}are disjoint, since no combination of rotations in rot(*m*rot(*q*_{1})) and rot(*m*rot(*q*_{2})) can make the sequence of*n*–1 entries that follow*m*the same in both cases. - If
*m*_{1}≠*m*_{2}, write the 2-cycles as:

That is, we rotate*m*_{1}|*q*_{1}=*m*_{1}|*m*_{2}*r*_{1}

*m*_{2}|*q*_{2}=*m*_{2}|*m*_{1}*r*_{2}*q*_{1}so that*m*_{2}appears first, and rotate*q*_{2}so that*m*_{1}appears first.- If
*r*_{1}=*r*_{2}=*r*then the 2-cycles*m*_{1}|*m*_{2}*r*and*m*_{2}|*m*_{1}*r*share**two**1-cycles: rot(*m*_{1}*m*_{2}*r*) and rot(*m*_{2}*m*_{1}*r*). - If
*r*_{1}=*a**b*and*r*_{2}=*b**a*for two strings of digits*a*and*b*, so that*r*_{1}=*r*_{2}modulo rotation, then the 2-cycles*m*_{1}|*m*_{2}*a**b*and*m*_{2}|*m*_{1}*b**a*share**one**1-cycle: rot(*m*_{1}*b**m*_{2}*a*). - If
*r*_{1}≠*r*_{2}modulo rotations, the 2-cycles are disjoint.

- If

In the standard recursive construction, the (*n*–2)! disjoint 2-cycles that are cut and spliced with
higher-weight edges all share the same *m*, while having distinct values for *q*. If we choose to have a run of *n*–1 weight-1 edges starting from 123...*n*, then *m*=*n* for all the 2-cycles, and the first few 2-cycles are:

n|1234...(n–2)(n–1)

n|1(n–1)234...(n–2)

n|12(n–1)34...(n–2)

n|123(n–1)4...(n–2)

In our version of Williams’s construction, we created a cycle cover of the permutations graph from
(*n*–1)(*n*–3)!
alternating cycles starting from *m**n**r** q*, for (

But the process of building a cycle cover from alternating cycles can be reformulated
in terms of 2-cycles: if we take the (*n*–1)(*n*–3)! 2-cycles of the form *m*|*n**r** q* and wherever they intersect
we

How exactly do we splice together two intersecting 2-cycles? To give a concrete example, if we take the 2-cycles 1|234 and 2|143, they will intersect along the 1-cycle rot(1423) = {1423, 4231, 2314, 3142}.

In the diagram above, the shared 1-cycle is coloured in red. As soon as we encounter a shared permutation in one 2-cycle, we switch to the other 2-cycle, follow it all the way around, and then just before we would return to the point where we entered it, we switch back to the first 2-cycle, skipping over the shared 1-cycle that we have already included.

The result of this procedure is exactly the same as if we were building a cycle cover with the two alternating
cycles starting at 1234 and 2143; the spliced cycle, shown as an ellipse at the bottom of the diagram, would be one
of the cycles in that cycle cover. Note that the alternating cycles here are *disjoint*, even though
the 2-cycles intersect. The conditions for
alternating cycles to intersect, at all, are the same as for the corresponding 2-cycles to intersect along **two**
1-cycles. The alternating cycles we use need to be disjoint in order for them to yield a cycle cover,
so we need to completely rule out pairs of 2-cycles with double intersections.

To understand the final outcome of splicing a collection of 2-cycles together, we can draw the collection as a **2-cycle graph** whose
vertices are 2-cycles, and whose edges join any pairs of the 2-cycles that intersect. Although we get to
choose the vertices of the graph, we can’t
opt out of any of the edges that arise whenever the 2-cycles intersect — that is, we can’t simply
ignore some intersections and refuse to splice the overlapping 2-cycles, because the result would not be a cycle cover.

Here are the 2-cycle graphs for our version of the Williams construction, for *n*=6 and *n*=7. We have omitted the labels on the 2-cycles for most of the vertices for *n*=7, to avoid clutter. The colours
here encode the values of *m* in our 2-cycle notation *m*|*q*.

The fact that these graphs consist of a number of **trees** sprouting from a single polygon with *n*–1 vertices
corresponds to the fact that the resulting cycle cover contains **exactly two cycles**. If we start with the
polygon and splice together the 2-cycles at its vertices, one by one, we will have a single, ever-larger cycle of permutations ...
until we come back to where we started, and we are splicing part of the cycle back onto itself. At that point, it splits into **two** cycles. One is the smaller of the two cycles in the final
cover, and it plays no more part in the splicing process. The other is successively enlarged by all of the splicing operations encoded by the surrounding trees, and because (unlike the central polygon) these parts of the 2-graph contain no more loops, the subsequent splices leave the growing cycle as a single cycle right to the end.

We can picture this in a stylised fashion with the image below. Here, the small cycle is the inner boundary of the grey region, and the large cycle is the outer boundary.

The rules for constructing the vertices for the polygon, and for building the attached trees, are reasonably simple. To construct the polygon:

- Start with the 2-cycle 1|(
*n*–1)...32*n* - The second 2-cycle is 2|(
*n*–1)...3*n*1 - The third 2-cycle is 3|(
*n*–1)...4*n*21 - In our notation
*m*|*q*, we successively increase the value of*m*, while*q*(modulo rotations) is (*n*–1)...321 with*n*replacing*m*in the descending sequence. [Note that in the diagram, we have rotated*q*into a canonical position with the lowest digit first.]

To move down the tree rooted at a polygon vertex, we follow these rules:

- Each child vertex has an
*m*value one less than that of its parent (wrapping back to*m*=*n*–1 from*m*=1). - If we write the parent as
*m*|(*m*–1)*p*, then its children all take the form (*m*–1)|*m*rot_{r}(*p*), where rot_{r}is left-rotation by*r*places, and*r*ranges from 1 to*n*–3. - Each root vertex has exactly
*n*–4 children, with one neighbour in the polygon (the clockwise one, in the diagrams) taking the form that its (*n*–3)^{rd}child would take: (*m*–1)|*m*rot_{n–3}(*p*). - All other vertices are either leaves
(they have no children) or have exactly
*n*–3 children. - A vertex in a branch becomes a leaf when its level
*L*reaches the minimum of {*L*_{j}+*r*_{j}– 1} for itself and all of its non-root ancestors, where*L*_{j}are the levels of those vertices and*r*_{j}their rotation with respect to their parent. So*every*vertex with*r*=1 is a leaf, while the vertices with the maximum rotation at every node of the tree will be limited by the largest value*r*can be for children of the root,*n*–4, giving a total of*n*–4 generations after the root.

That the children and parents in this tree have single intersections between their 2-cycles is true by
construction, so to confirm that the graph will always consist of *n*–1 trees rooted at the vertices of
an (*n*–1)-gon amounts to checking that
there are no other edges than the ones we have described.

[1] “The Minimal Superpermutation Problem”, Nathaniel Johnston.

[2] “Non-Uniqueness of Minimal Superpermutations”, Nathaniel Johnston, *Discrete Mathematics*, 313:1553—1557, 2013.

[3] “All Minimal Superpermutations on Five Symbols Have Been Found”, Nathaniel Johnston.

[4] “Tackling the Minimal Superpermutation Problem”, Robin Houston.

[5] “Hamiltonicity of the Cayley Digraph on the Symmetric Group Generated by σ=(1 2 ... *n*) and τ=(1 2)”, Aaron Williams.