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Lattice Paths with States, and Counting Geometric Objects via Production Matrices (a preliminary report on unproved results) G unter Rote Freie Universit at Berlin ongoing joint work with Andrei Asinowski and Alexander Pilz a


  1. Lattice Paths with States, and Counting Geometric Objects via Production Matrices (a preliminary report on unproved results) G¨ unter Rote Freie Universit¨ at Berlin ongoing joint work with Andrei Asinowski and Alexander Pilz a non-crossing perfect matching G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  2. Lattice Paths with States, and Counting Geometric Objects via Production Matrices (a preliminary report on unproved results) G¨ unter Rote Freie Universit¨ at Berlin ongoing joint work with Andrei Asinowski and Alexander Pilz G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  3. Lattice Paths with States, and Counting Geometric Objects via Production Matrices (a preliminary report on unproved results) G¨ unter Rote Freie Universit¨ at Berlin ongoing joint work with Andrei Asinowski and Alexander Pilz the generalized double zigzag chain G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  4. Lattice Paths with States • Finite set of states Q = {• , ◦ , � , � , △ , . . . } • For each q ∈ Q , a set S q of permissible steps (( i, j ) , q ′ ) : From point ( x, y ) in state q , can go to ( x + i, y + j ) in state q ′ . (3 , 2) (6 , − 1) (4 , − 4) y y ≥ 0 x (0 , 0) ( n, 0) Wanted: The number of paths from (0 , 0) in state q 0 to ( n, 0) in state q 1 that don’t go below the x -axis. G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  5. Formula for Lattice Paths with States (3 , 2) characteristic matrix A ( t, u ) = (6 , − 1)   • ◦ � (4 , − 4) t 4 u − 4 t 6 u − 1 t 3 u 2 •     t 3 + t 3 u 3 ◦ 0 0   ( i, j ) �→ t i u j t 4 + t 3 u − 1 0 0 � Conjecture : The number of paths from (0 , 0) in state q 0 to ( n, 0) in state q 1 that don’t go below the x -axis is ∼ const · (1 /t ∗ ) n · n − 3 / 2 , where (1) A ( t ∗ , u ∗ ) has largest (Perron-Frobenius) eigenvalue 1. ⇒ det( A ( t, u ) − I ) = 0 ] [ = (2) u ∗ > 0 is chosen such that the value t ∗ > 0 that fulfills (1) ∂ ⇒ ∂u det( A ( t, u ) − I ) = 0 ] is as large as possible. [ = G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  6. Formula for Lattice Paths with States (3 , 2) characteristic matrix A ( t, u ) = (6 , − 1)   • ◦ � (4 , − 4) t 4 u − 4 t 6 u − 1 t 3 u 2 •     t 3 + t 3 u 3 ◦ 0 0   ( i, j ) �→ t i u j t 4 + t 3 u − 1 0 0 � Conjecture : The number of paths from (0 , 0) in state q 0 to ( n, 0) in state q 1 that don’t go below the x -axis is ∼ const · (1 /t ∗ ) n · n − 3 / 2 , under some obvious technical conditions : • state graph is strongly connected • no cycles in the lattice paths • aperiodic • . . . G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  7. Overview • Introduction. Point sets with many noncrossing X • The lattice path formula with states (preview) • Overview • Example 1: Triangulations of a convex n -gon • Production matrices • Example 2: Noncrossing forests in a convex n -gon • Example 3: Geometric graphs on the generalized double zigzag chain. • Proof idea 1. Analytic combinatorics • Proof idea 2. Random walk G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  8. Triangulations of a convex n -gon d n = 5 d n +1 = 4 n n n + 1 1 1 2 2 4 4 3 3 G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  9. Triangulations of a convex n -gon d n = 5 d ′ n = d n + d n +1 − 3 d n +1 = 4 n n n + 1 1 1 2 2 4 4 3 3 G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  10. Triangulations of a convex n -gon d n = 5 d ′ n = d n + d n +1 − 3 d n +1 = 4 n n n + 1 1 1 2 2 4 4 3 3 d n = d n d n +1 = 2 , 3 , . . . , d + 1 n n + 1 1 1 2 2 4 4 3 3 G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  11. Triangulations of a convex n -gon d n = 5 d ′ n = d n + d n +1 − 3 d n +1 = 4 n n n + 1 1 1 2 2 4 4 3 3 d n = d n d n +1 = 2 , 3 , . . . , d + 1 n n + 1 1 1 2 2 4 4 3 3 G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  12. Triangulations of a convex n -gon Triangulation of n -gon with last vertex of degree d n = d → Triangulation of ( n + 1 )-gon with last vertex of degree d n +1 = 2 or 3 or 4 or . . . or d, or d + 1 [ Hurtado & Noy 1999 ] “tree of triangulations” d n = d n d n +1 = 2 , 3 , . . . , d + 1 n n + 1 1 1 2 2 4 4 3 3 G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  13. Triangulations of a convex n -gon Triangulation of n -gon with last vertex of degree d n = d → Triangulation of ( n + 1 )-gon with last vertex of degree d n +1 = 2 or 3 or 4 or . . . or d, or d + 1 [ Hurtado & Noy 1999 ] d “tree of triangulations” triangulation � 4 lattice path 3 n 2 G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  14. Production matrices count paths in a layered graph n n The answer is   1 1 1 1 . . .   1 1 1 1 . . . 1     0 1 1 1 . . . 0     � 1 . . . �     0 0 0 0 1 1 . . . 0         . 0 0 0 1 . . .   . .   . . . . ... . . . . . . . . � �� � the “production matrix” P G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  15. Production matrices for enumeration were introduced by Emeric Deutsch, Luca Ferrari, and Simone Rinaldi (2005). were used for counting noncrossing graphs for points in convex position: Huemer, Seara, Silveira, and Pilz (2016) Huemer, Pilz, Seara, and Silveira (2017)       0 1 1 1 . . . 2 3 4 5 . . . 1 1 1 1 . . . 1 0 1 1 . . . 1 2 3 4 . . . 1 3 4 5 . . .             0 1 0 1 . . . 0 1 2 3 . . . 0 1 3 4 . . .             0 0 1 0 . . . 0 0 1 2 . . . 0 0 1 3 . . .             0 0 0 1 . . . 0 0 0 1 . . . 0 0 0 1 . . .             . . . . . . . . . . . . ... ... ... . . . . . . . . . . . . . . . . . . . . . . . . spanning trees matchings forests G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  16. Making the degree finite n Number of paths is preserved. n G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  17. Making the degree finite Shearing → Dyck paths → Catalan numbers n Number of paths is preserved. n G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

  18. Example 2: Forests   1 1 1 1 1 . . . 1 3 4 5 6 . . .     0 1 3 4 5 . . .   P =   0 0 1 3 4 . . .     0 0 0 1 3 . . .   . . . . . ... . . . . . . . . . . G¨ unter Rote, Freie Universit¨ at Berlin Lattice Paths with States, and Counting Geometric Objects via Production Matrices Midsummer Combinatorial Workshop XXIII, Prague, July 30 – August 3, 2018

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