Random Permutations

The pancake sorting problem is to determine the diameter of the pancake graph, the Cayley graph of ${S_n}$ with respect to the generating set ${P_n = \{p_1, \dots, p_n\}}$ , where ${p_k}$ is defined (in two-line notation) by

$\displaystyle p_k = \left(\begin{array}{ccccccc} 1 & 2 & \dots & k & k+1 & \cdots & n \\ k & k-1 & \dots & 1 & k+1 & \cdots & n \end{array}\right)$

(i.e., ${p_k}$ flips the top ${k}$ pancakes). It is not hard to see that the diameter is between ${n}$ and ${2n}$ . Both lower and upper bound have been sharpened by a constant factor, and a natural conjecture is that ${\mathrm{diam}~\mathrm{Cay}(S_n, P_n) / n}$ converges to some intermediate constant (to be determined, ideally).

Here is a natural model problem: estimate ${|P^m|}$ for each fixed ${m}$ as ${n \to \infty}$ . Clearly ${|P^m| \leq n^m}$ , and we should be able to detect some fall-off from this trivial upper bound.

Proposition 1 There is an integer sequence ${(a_m)}$ , beginning
$\displaystyle 1, 2, 6, 22, 90, 486, 3014, 22185, 182229, \dots$
(not in the OEIS) such that ${|P^m| \sim (a_m/m!) n^m}$ as ${n \to \infty}$ with ${m}$ fixed.

To define ${(a_m)}$ it is useful to introduce the hyperoctahedral group ${B_m = \{\pm1\} \wr S_m}$ (cf. burnt pancake sorting). You can think of ${B_m}$ as the group of “signed” or “antipodal” permutations: permutations ${\sigma}$ of ${\{\pm1, \dots, \pm m\}}$ such that ${\sigma(-x) = -\sigma(x)}$ for all ${x}$ . There is a natural cover ${B_m \to S_m}$ defined by forgetting signs. We lift ${P_m}$ to ${B_m}$ in a particular way: define ${Q_m = \{q_1, \dots, q_m\}}$ , where

$\displaystyle q_k = \left(\begin{array}{ccccccc} 1 & 2 & \dots & k & k+1 & \cdots & n \\ -k & -(k-1) & \dots & -1 & k+1 & \cdots & n \end{array}\right).$

Now define

$\displaystyle a_m = \# \{ q_{\sigma(1)} \cdots q_{\sigma(m)} : \sigma \in S_m \}.$

I computed the initial terms in the sequence using this simple formula. The first nontrivial relations are

$\displaystyle q_1 q_2 q_4 q_3 = q_2 q_4 q_3 q_1$

and its inverse (to verify I recommend using four asymmetric cards from a deck of cards), which together account for ${a_4 = 22 < 24}$ .

To sketch the proof of Proposition 1, consider composing ${m}$ random elements of ${P_n}$ . You can think of this as a two-step process: randomly divide the stack ${\{1, \dots, n\}}$ in ${m}$ places, and then rearrange the resulting ${m+1}$ pieces, possibly with some reversals. With high probability the points of division are all distinct, so they can be inferred from the result (this is true for ${m}$ up to about ${n^{1/2}}$ ). The only question is whether the order can be inferred, and this is precisely what is defined by ${a_m}$ .

It would be informative for the pancake problem to know more about the sequence ${(a_m)}$ . I don’t know whether ${a_m}$ can be computed more efficiently than the naive way above, e.g., whether there is a recurrence: if so that would really help a lot.

There is at least a submultiplicativity property that follows from the proposition:

Corollary 2 For ${m, k\geq 1}$ , ${a_{m+k} / (m+k)! \leq a_m / m! \cdot a_k / k!}$ . Hence there is a constant ${c_1 > 0}$ such that
$\displaystyle a_m/m! < e^{-c_1m + o(m)}.$

Proof: This follows from ${|P^{m+k}| \leq |P^m| |P^k|}$ , dividing by ${n^{m+k}}$ , and taking the limit. The second part follows from the subadditivity lemma and the data point ${a_4 = 22 < 24}$ . $\Box$