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Neighbour-swap Graphs Generating linear extensions of posets by adjacent transpositions Gijs Bellaard 24 Juli 2019 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 1 / 37 Outline Introduction 1 Preliminaries 2 Properties of


  1. Neighbour-swap Graphs Generating linear extensions of posets by adjacent transpositions Gijs Bellaard 24 Juli 2019 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 1 / 37

  2. Outline Introduction 1 Preliminaries 2 Properties of neighbour-swap graphs 3 Partitioning Identification Edges & Trivia Counting linear extensions and their surplus 4 Counting linear extensions Counting the surplus Constructing shortest covering walks 5 Hamiltonian Lehmer Master Conclusion 6 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 2 / 37

  3. Introduction Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 3 / 37

  4. Set case Take a set: { 1 , 2 , 3 , 4 } . Consider a permutation, like 1234. Perform a neighbour-swap, i.e. an adjacent transposition. ◮ For example, we can swap the 1 and 2 to obtain 2134. Can one perform these neighbour-swaps (not necessarily starting with 1234) in such a way that every permutation is encountered exactly once? Steinhaus-Johnson-Trotter algorithm. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 4 / 37

  5. Multiset case Take a multiset: { 1 , 1 , 2 , 2 } . Can one still perform neighbour-swaps in such a way that every permutation is encountered exactly once? We can visualize our problem using a neighbour-swap graph: 1221 1122 1212 2121 2211 2112 Figure: Neighbour-swap graph of the multiset { 1 , 1 , 2 , 2 } . So, when is it possible for multisets? Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 5 / 37

  6. Poset case There is an even more general way to create neighbour-swap graphs using posets. The poset on { 1 , 2 , 3 , 4 } with the order that 1 precedes 2 and 3 precedes 4 acts exactly like the multiset { 1 , 1 , 2 , 2 } : 1342 1234 1324 3142 3412 3124 Figure: Neighbour-swap graph where 1 precedes 2 and 3 precedes 4. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 6 / 37

  7. Poset case The poset where 1 and 2 must both precede 3 and 4 gives a neighbour-swap graph that is unobtainable using just sets or multisets: 1234 2134 1243 2143 Figure: Neighbour-swap graph where 1 and 2 must both precede 3 and 4. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 7 / 37

  8. Preliminaries Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 8 / 37

  9. Poset definition Definition In our setting a poset P is defined as a finite set, also called the ground plane, combined with a relation ≺ which is irreflexive and transitive. Example (b) (a) Figure: Hasse diagrams of two posets Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 9 / 37

  10. Neighbour-swap graphs Definition Let L ( P ) denote the set of all linear extensions of a poset P . Definition A neighbour-swap graph G ( P ) of a poset P is defined as the graph on L ( P ) with edges corresponding to neighbour-swaps. Theorem Every neighbour-swap graph is bipartite where the two parts consist of the even and odd linear extensions. Definition Define the surplus D ( G ( P )), or D ( P ), as the absolute difference between the cardinality of the two parts of the bipartition. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 10 / 37

  11. Theorem 1 If G ( P ) has a Hamiltonian path then D ( P ) ≤ 1 . 2 If G ( P ) has a Hamiltonian cycle then D ( P ) = 0 . Proof. Any path in G ( P ) alternates between the two parts of the bipartition. Therefore the difference between the number of vertices visited in one part and the other can not be greater than 1. The proof in case of a cycle goes analogously. Corollary If D ( P ) > 1 then G ( P ) has no Hamiltonian path. If D ( P ) > 0 then G ( P ) has no Hamiltonian cycle. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 11 / 37

  12. Composition Definition For two disjoint posets P and Q we define P | Q to be their parallel composition and PQ to be their series composition. We let i n denote a chain of n elements labeled with i . In some cases the labeling of the poset is of no importance and in these cases we will write ◦ . This lets us write the set cases as posets of the form ◦ | ◦ | · · · , and the multiset cases as posets of the form ◦ k 1 | ◦ k 2 | · · · . Furthermore, posets of the form ◦ k 1 | ◦ k 2 are called binary. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 12 / 37

  13. Forests Definition A forest is a poset such that for every element the subposet of all succeeding elements is a chain. Maximal elements are called roots and minimal elements leafs. Forests generalize the multiset and set cases and can also be created with just parallel and series composition, more specifically using just · | · and ·◦ , where the dots represents some forest to be filled in. Example Figure: Hasse diagram of the forest ( ◦ | ( ◦ | ◦ ) ◦ ◦ ) ◦ | ◦ ◦ . Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 13 / 37

  14. Properties of neighbour-swap graphs Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 14 / 37

  15. Partitioning Definition For two poset P and Q , where Q is on a subset of the ground plane of P , define P ↼ Q as their union. Theorem For any subposet Q ⊆ P we can partition L ( P ) into { L ( P ↼ L ) | L ∈ L ( Q ) } Proof. Take an arbitrary linear extension of P . Within this linear extension the elements of Q have also been placed in an order which, obviously, corresponds with a linear extension of Q . Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 15 / 37

  16. Partitioning Theorem For any subposet Q ⊆ P we can partition G ( P ) into subgraphs { G ( P ↼ L ) | L ∈ L ( Q ) } which are connected to each other isomorphic to G ( Q ) . Corollary Every neighbour-swap graph is isomorphic to a subgraph of a set case. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 16 / 37

  17. Partitioning Example 1342 1324 3142 1234 3124 3412 2134 3214 3421 2314 3241 2341 Figure: G (1 | 2 | 34) partitioned with 1 | 2 | 3 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 17 / 37

  18. Identification Theorem If a neighbour-swap graph contains a vertex of degree 1 then the graph is isomorphic to a subgraph of a binary case. Proof. A vertex of degree 1 corresponds with a linear extension in which only one neighbour-swap can be made. This means no neighbour-swap can be performed on the elements left of the swap i.e. they are ordered. Similarly, all the elements on the right of the swap are also ordered. We may conclude that the poset can be divided into two chains on which maybe some more orderings are placed. Conjecture Every neighbour-swap graph has at at most two vertices of degree 1. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 18 / 37

  19. Identification Theorem If a neighbour-swap graph contains a vertex, highlighted in orange, of degree 3, then the graph has at least another vertex, highlighted in blue: Proof. A vertex of degree 3 corresponds with a linear extension in which three neighbour-swaps can be made. In the worst case these neighbour-swaps all “interfere” which each other, i.e. their locations are all right next to each other. This means the linear extension is of the form ... abcd ... where a & b , b & c and c & d may be swapped. Aside from the obvious three linear extensions bacd , acbd , abdc we can be certain another exists, namely: badc . Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 19 / 37

  20. Identification Theorem If a neighbour-swap graph contains the following part: i.e. a “tail”, then the graph is trivial i.e. it is a path. Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 20 / 37

  21. Edges & Trivia Theorem The number of edges in G ( M ) , where M = ◦ k 1 | ◦ k 2 | · · · is a multiset case, equals: n 2 − n 2 � n − 1 � 2 k 1 , k 2 , · · · where n = k 1 + k 2 + · · · , n 2 = k 2 1 + k 2 2 + · · · . Theorem ◦ Q | P �� � � G Q is the more connected version of G ( Q | P ) . Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 21 / 37

  22. Counting linear extensions and their surplus Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 22 / 37

  23. Counting linear extensions of compositions Theorem � P | ◦ Q �� � | L ( P | Q ) | = � L � · | L ( Q ) | � � Theorem | L ( PQ ) | = | L ( P ) | · | L ( Q ) | Theorem The number of linear extensions of a binary case is: � n � � � �� ◦ k 1 | ◦ k 2 � = � L � � k 1 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 23 / 37

  24. Example To illustrate the use of the previous three theorems let us quickly count � ◦ | ◦ 3 � the number of linear extension of the poset ◦ ( ◦ | ◦ | ◦ ) . � = | L ( ◦ ) | · | L ( ◦ | ◦ | ◦ ) | · � ◦ | ◦ 3 ��� � ◦ | ◦ 3 �� � � � � L ◦ ( ◦ | ◦ | ◦ ) � L � ◦ | ◦ 2 �� � · | L ( ◦ | ◦ ) | · 4 � � = 1 · � L = 1 · 3 · 2 · 4 = 24 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 24 / 37

  25. Counting linear extensions of a forest Theorem The number of linear extensions of a forest F is: n ! | L ( F ) | = d 1 d 2 · · · where d i is the number of preceding elements, including itself, of the i’th element. Corollary The number of linear extensions of a multiset case is: � � n � � �� ◦ k 1 | ◦ k 2 | · · · � L � = � � k 1 , k 2 , · · · The number of linear extensions of a set case is: | L ( ◦ | ◦ | · · · ) | = n ! Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 25 / 37

  26. Surplus of composition Theorem � P | ◦ Q � D ( P | Q ) = D · D ( Q ) Theorem D ( PQ ) = D ( P ) · D ( Q ) Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 26 / 37

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