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Pattern containment in random permutations
Linköping University, Department of Mathematics, Mathematics and Applied Mathematics. Linköping University, The Institute of Technology.
##### Abstract [en]

This paper studies permutation statistics that count occurrences of patterns. Their expected values on a product of t permutations chosen randomly from Γ $\underline{C}$ Sn, where G is a union of conjugacy classes, are considered. Hultman has described a method for computing such an expected value, denoted EΓ(s, t), of a statistic s, when Γ is a union of conjugacy classes of Sn. The only prerequisite is that the mean of s over the conjugacy classes is written as a linear combination of irreducible characters of Sn. Therefore, the main focus of this article is to express the means of pattern-counting statistics as such linear combinations. A procedure for calculating such expressions for statistics counting occurrences of classical and vincular patterns of length 3 is developed, and is then used to calculate all these expressions. The results can be used to compute EΓ(s, t) for all the above statistics, and for all functions on Sn that are linear combinations of them.

Mathematics
##### Identifiers
OAI: oai:DiVA.org:liu-100894DiVA: diva2:664202
Available from: 2013-11-14 Created: 2013-11-14 Last updated: 2013-11-14Bibliographically approved
##### In thesis
1. The k-assignment polytope, phylogenetic trees, and permutation patterns
Open this publication in new window or tab >>The k-assignment polytope, phylogenetic trees, and permutation patterns
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
##### Abstract [en]

In this thesis three combinatorial problems are studied in four papers.

In Paper 1 we study the structure of the k-assignment polytope, whose vertices are the mxn (0,1)-matrices with exactly k 1:s and at most one 1 in each row and each column. This is a natural generalisation of the Birkhoff polytope and many of the known properties of the Birkhoff polytope are generalised. A representation of the faces by certain bipartite graphs is given. This representation is used to describe the properties of the polytope, such as a complete description of the cover relation in the face poset of the polytope and an exact expression for the diameter of its graph. An ear decomposition of these bipartite graphs is constructed.

In Paper 2 we investigate the topology and combinatorics of a topological space, called the edge-product space, that is generated by a set of edge-weighted finite semi-labelled trees. This space arises by multiplying the weights of edges on paths in trees, and is closely connected to tree-indexed Markov processes in molecular evolutionary biology. In particular, by considering combinatorial properties of the Tuffley poset of semi-labelled forests, we show that the edge-product space has a regular cell decomposition with face poset equal to the Tuffley poset.

The elements of the Tuffley poset are called X-forests, where X is a finite set of labels. A generating function of the X-forests withrespect to natural statistics is studied in Paper 3 and a closed formula is found. In addition, a closed formula for the corresponding generating function of X-trees is found. Singularity analysis is used on these formulas to find asymptotics for the number of components, edges, and unlabelled nodes in X-forests and X-trees as |X| goes towards infinity.

In Paper 4 permutation statistics counting occurrences of patterns are studied. Their expected values on a product of t permutations chosen randomly from a subset Γ of Sn, where Γ is a union of conjugacy classes, are considered. Hultman has described a method for computing such an expected value, denoted E(s,t), of a statistic s, when Γ is a union of conjugacy classes of Sn. The only prerequisite is that the mean of s over the conjugacy classes is written as a linear combination of irreducible characters of Sn. Therefore, the main focus of this paper is to express the means of pattern-counting statistics as such linear combinations. A procedure for calculating such expressions for statistics counting occurrences of classical and vincular patterns of length 3 is developed, and is then used to calculate all these expressions.

##### Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1544
Mathematics
##### Identifiers
urn:nbn:se:liu:diva-98263 (URN)10.3384/diss.diva-98263 (DOI)978-91-7519-510-0 (ISBN)
##### Supervisors
Available from: 2013-11-14 Created: 2013-10-05 Last updated: 2013-11-25Bibliographically approved

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Gill, Jonna
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Mathematics and Applied MathematicsThe Institute of Technology
Mathematics