19 research outputs found
On the effective and automatic enumeration of polynomial permutation classes
We describe an algorithm, implemented in Python, which can enumerate any
permutation class with polynomial enumeration from a structural description of
the class. In particular, this allows us to find formulas for the number of
permutations of length n which can be obtained by a finite number of block
sorting operations (e.g., reversals, block transpositions, cut-and-paste
moves)
Pattern-Avoiding Involutions: Exact and Asymptotic Enumeration
We consider the enumeration of pattern-avoiding involutions, focusing in
particular on sets defined by avoiding a single pattern of length 4. As we
demonstrate, the numerical data for these problems demonstrates some surprising
behavior. This strange behavior even provides some very unexpected data related
to the number of 1324-avoiding permutations
Generating Permutations with Restricted Containers
We investigate a generalization of stacks that we call
-machines. We show how this viewpoint rapidly leads to functional
equations for the classes of permutations that -machines generate,
and how these systems of functional equations can frequently be solved by
either the kernel method or, much more easily, by guessing and checking.
General results about the rationality, algebraicity, and the existence of
Wilfian formulas for some classes generated by -machines are
given. We also draw attention to some relatively small permutation classes
which, although we can generate thousands of terms of their enumerations, seem
to not have D-finite generating functions
The minimum Manhattan distance and minimum jump of permutations
Let be a permutation of . If we identify a
permutation with its graph, namely the set of dots at positions
, it is natural to consider the minimum (Manhattan) distance,
, between any pair of dots. The paper computes the expected value (and
higher moments) of when and is chosen
uniformly, and settles a conjecture of Bevan, Homberger and Tenner (motivated
by permutation patterns), showing that when is fixed and
, the probability that tends to .
The minimum jump of , defined by , is another natural measure in this context. The paper
computes the asymptotic moments of , and the asymptotic probability
that for any constant .Comment: 20 pages, 3 figures. Minor changes throughou