A combinatorial bijection on k-noncrossing partitions

Size: px
Start display at page:

Download "A combinatorial bijection on k-noncrossing partitions"

Transcription

1 A combinatorial bijection on k-noncrossing partitions KAIST Korea Advanced Institute of Science and Technology 2018 JMM Special Session in honor of Dennis Stanton January 10, 09:30 09:50

2 I would like to thank Professor Dennis Stanton for teaching me the Pleasure of Doing Combinatorics

3 Abstract For any integer k 2, we prove combinatorially the following Euler (binomial) transformation identity NC (k) n+1 (t) = t n i=0 ( ) n i NW (k) i (t), where NC (k) m (t) (resp. NW (k) m (t)) is the enumerative polynomial on partitions of {1,..., m} avoiding k-crossings (resp. enhanced k-crossings) by number of blocks. The special k = 2 and t = 1 case, asserting the Euler transformation of Motzkin numbers are Catalan numbers, was discovered by Donaghey The result for k = 3 and t = 1, arising naturally in a recent study of pattern avoidance in ascent sequences and inversion sequences, was proved only analytically.

4 Set partitions For a positive integer n, let [n] denote the set {1, 2,..., n}. P = {B 1, B 2,..., B k } is a set partition of [n] with k blocks, if B i s are nonempty subsets of [n], B i s are mutually disjoint, and i B i = [n] Π n : the set of all set partions of [n]. S(n, k), the Stirling number of the second kind, is the number of set partitions of [n] with k blocks.

5 Arc diagram of partitions Nodes are 1, 2,..., n from left to right. There is an arc from i to j, i < j, whenever both i and j belong to a same block, say B P, and B contains no l with i < l < j. There is a loop from i to itself if {i} is a block in P. Example The arc diagram of {{1, 3, 7}, {2, 5, 6}, {4}} Π

6 Crossing A partition has a crossing if there exists two arcs (i 1, j 1 ) and (i 2, j 2 ) in its arc diagram such that i 1 < i 2 < j 1 < j 2. It is well known that the number of partitions in Π n with no crossings is given by the n-th Catalan number C n = 1 ( ) 2n. n + 1 n The crossings of partitions have a natural generalization called k-crossings for any fixed integer k 2.

7 Crossing The arc diagram of {{1, 3, 7}, {2, 5, 6}, {4}} Π

8 Crossing The arc diagram of {{1, 3, 7}, {2, 5, 6}, {4}} Π

9 k-crossing and k-noncrossing A k-crossing of P Π n is a k-subset (i 1, j 1 ), (i 2, j 2 ),..., (i k, j k ) of arcs in the arc diagram of P such that i 1 < i 2 < < i k < j 1 < j 2 < < j k. A partition without any k-crossing is a k-noncrossing partition. A 3-crossing is depicted below:

10 Weak k-crossing and enhanced k-crossing A weak k-crossing of P Π n is a k-subset (i 1, j 1 ), (i 2, j 2 ),..., (i k, j k ) of arcs in the arc diagram of P such that i 1 < i 2 < < i k = j 1 < j 2 < < j k. The k-crossings and weak k-crossings of P are collectively called the enhanced k-crossings of P. A partition without any enhanced k-crossing is an enhanced k-noncrossing partition.

11 Example: Weak 3-crossing and weak 3-nesting A 3-crossing and a weak 3-crossing are depicted below:

12 Review Recall the arc diagram of {{1, 3, 7}, {2, 5, 6}, {4}} Π Two crossings One weak 3-crossing One weak crossing which is not a 3-crossing

13 Review Recall the arc diagram of {{1, 3, 7}, {2, 5, 6}, {4}} Π Two crossings One weak 3-crossing One weak crossing which is not a 3-crossing

14 Review Recall the arc diagram of {{1, 3, 7}, {2, 5, 6}, {4}} Π Two crossings One weak 3-crossing One weak crossing which is not a 3-crossing

15 NC (k) n and NW (k) n Definition Let NC (k) n be the set of all k-noncrossing partitions in Π n. Definition Let NW (k) n in Π n. be the set of all enhanced k-noncrossing partitions If k is sufficently large, i.e. k > n+1 2, then we have NW (k) n = NC (k) n = Π n.

16 NC (k) m (t): Partitions without k-crossings Definition Let NC (k) m (t) be the enumerative polynomial on partitions of [m] avoiding k-crossings by number of blocks. The following contributes t 3 to NC (3) 7 (t)

17 NW (k) m (t): Partitions without enhanced k-crossings Definition Let NW (k) m (t) be the enumerative polynomial on partitions of [m] avoiding enhanced k-crossings by number of blocks. The following contributes t 3 to NW (4) 7 (t)

18 Main result Theorem For n 1 and k 2, n ( ) NC (k) n n+1 (t) = t NW (k) i (t), (1) i i=0 where NW (k) 0 (t) = 1 by convention. The t = 1 case of (1) implies that the D-finiteness (differentiably finite) of the generating function of k-noncrossing partitions is the same as that of the generating function of enhanced k-noncrossing partitions. There are several partial results that lead to the discovery of (1).

19 Partial matchings The k = 2 and t = 1 case of NC (k) n+1 (t) = t n i=0 ( ) n i NW (k) i (t). Enhanced 2-noncrossing partitions in Π n are noncrossing partial matchings of [n], i.e. noncrossing partitions for which the blocks have size one or two. Noncrossing partial matchings of [n] are counted by the n-th Motzkin number M n = n/2 ) i=0 Ci, identity (1) reduces to C n+1 = ( n 2i n i=0 ( ) n M i. (2) i

20 The case k > n+1 2 If k is sufficently large, i.e. k > n+1 2, then we have NW (k) n = NC (k) n = Π n, and NC (k) n+1 (t) = t n i=0 ( ) n i NW (k) i (t) is equivalent to for all m 0, S(n + 1, m + 1) = n i=0 ( ) n S(i, m), i where S(a, b) denotes the Stirling number of the second kind.

21 Case: k = 3 and t = 1 Recall (1): NC (k) n+1 (t) = t n i=0 ( ) n i NW (k) i (t), The first nontrivial case of (1) is when k = 3 and t = 1: Known. The t = 1 case of (1) for general k: Conjectured by Lin.

22 Case: k = 2 and general t Recall (1): NC (k) n+1 (t) = t n i=0 ( ) n i Recall (2): k = 2 and t = 1 in the above. C n+1 = n i=0 ( ) n M i i NW (k) i (t), The k = 2 case of (1), which is a t-extension of (2), seems new: C n+1 (t) = t n i=0 ( ) n M i (t). (3) i C n (t) and M n (t) denote the generating functions of noncrossing partitions of [n] and noncrossing partial matchings of [n].

23 Case: General k and t = 1 Recall our objective: For all k, NC (k) n+1 (t) = t n i=0 ( ) n i NW (k) i (t) For t = 1, the above identity has multiple proofs. But they, except what comes next, do not prove the above as a polynomial in t.

24 Bijective proof for k = 2 and general t We will first illustrate our bijective proof of (1), for k = 2, NC (2) n+1 (t) = t n i=0 ( ) n i NW (2) i (t), for noncrossing partitions, and then extend it to all k-noncrossing partitions. The extension of our construction from k = 2 to general k is highly nontrivial. So we show our framework for the noncrossing partition case first. From now on, we let Π n denote the set of partitions of {0, 1,..., n 1} rather than partitions of [n], for convenience s sake.

25 Bijective proof for k = 2 and general t We give a combinatorial interpretation of identity (3), C n+1 (t) = t n i=0 First we interpret the right hand side t n i=0 ( ) n M i (t). i ( ) n M i (t) i as the generating function of all pairs (A, µ) such that A is a subset of {1, 2,..., n} and µ is a noncrossing matching whose nodes are elements of A placed on the line in the natural order. A pair (A, µ) is weighted by t µ +1, where µ is the number of blocks of µ. If A is the empty set, then µ is the empty matching with weight t.

26 Bijection Ψ for k = 2 and general t We now define a combinatorial bijection Ψ from noncrossing partitions in Π n+1 to the set of all pairs (A, µ) in the above. Let n = 10 and π = {{0, 8, 10}, {1, 2, 7}, {3, 5, 6}, {4}, {9}}. This π is a noncrossing partition as can be seen below:

27 Bijection Ψ for k = 2 and general t Consider all blocks in π which do not contain 0: {{1, 2, 7}, {3, 5, 6}, {4}, {9}}. From each block, delete all integers which are neither the smallest nor the largest in the block. Let the resulting set be µ, and let A be the union of all blocks in µ: (A, µ) = ({1, 3, 4, 6, 7, 9}, {{1, 7}, {3, 6}, {4}, {9}}) The next figure shows the elements of A, in blue, and the matching µ Let Ψ(π) = (A, µ). Clearly, this is weight-preserving.

28 Example: Ψ Delete arcs connected to 0.

29 Example: Ψ Delete arcs connected to 0.

30 Example: Ψ Delete arcs connected to 0. Let go of 2 and 5.

31 Example: Ψ Delete arcs connected to 0. Let go of 2 and 5.

32 Example: Ψ Let Ψ(π) = (A, µ). Clearly, this is weight-preserving.

33 Bijection Ψ 1 for k = 2 and general t The above procedure is reversible. Let (A, µ) be a pair such that A is a subset of {1, 2,..., n} and µ is a noncrossing matching whose nodes are elements of A placed on the line in the natural order. We will construct the corresponding partition π of {0, 1, 2,..., n} as follows. Interpret each block β in µ as an interval I (β) = {i : min{β} i max{β}}. Let the block of π containing 0 be {0, 1, 2,..., n} \ β µ I (β).

34 Example: Ψ 1 As an example, let n = 10 and (A, µ) = ({1, 3, 4, 6, 7, 9}, {{1, 7}, {3, 6}, {4}, {9}}). The block containing 0 is {0, 8, 10}, shown in red below

35 Example: Ψ 1 Other blocks of π are obtained by extending blocks in µ by the rule: i {1, 2,..., n} \ A belongs to the block originating from a block β µ if I (β) is the smallest interval containing i. In our example, two blocks {1, 7} and {3, 6} are enlarged, shown in blue below So Ψ 1 (π) = {{0, 8, 10}, {1, 2, 7}, {3, 5, 6}, {4}, {9}}.

36 Bijection Ψ Determine the block containing 0. Pick up 2 and 5. So Ψ 1 (π) = {{0, 8, 10}, {1, 2, 7}, {3, 5, 6}, {4}, {9}}.

37 Bijection Ψ Determine the block containing 0. Pick up 2 and 5. So Ψ 1 (π) = {{0, 8, 10}, {1, 2, 7}, {3, 5, 6}, {4}, {9}}.

38 Bijection Ψ Determine the block containing 0. Pick up 2 and 5. So Ψ 1 (π) = {{0, 8, 10}, {1, 2, 7}, {3, 5, 6}, {4}, {9}}.

39 Red block, colored arc diagram Definition (Red block, colored arc diagram) In a partition P, the block containing 0 is called a red block, denoted by red(p), and other blocks are called black blocks. The elements in red(p) are colored red, and other elements are colored black. Arcs in arc diagram of P between red elements are colored red and other arcs are colored black. Such a colored version of arc diagram of P is called the colored arc diagram, denoted by D(P). A partition is called k-crossing if it has at least one k-crossing. A (weak) k-crossing is called a black (weak) k-crossing, if all its arcs are black; a red (weak) k-crossing, otherwise.

40 NC (k) n, NW (k), NBW (k) n n Recall: NC (k) n is the set of all k-noncrossing partitions in Π n. NW (k) n is the set of all partitions in Π n which avoid enhanced k-crossings, i.e., have neither k-crossings nor weak k-crossings. (Enhanced k-noncrossing) Definition Let NBW (k) n be the set of all partitions P in Π n whose colored arc diagram, D(P), has neither black k-crossings nor black weak k-crossings.

41 An example in NBW (3) 17 P NBW (3) 17 and its colored diagram D(P): P = {{0, 4, 8, 15}, {1, 3, 10}, {2, 11}, {5, 16}, {6, 13}, {7, 9, 12, 14}} There are no black 3-crossings and no black weak 3-crossings. There are red 3-crossings and red weak 3-crossings.

42 Decomposition of NBW (k) n For any subset A of {1, 2,..., n 1}, define a subset Π A of Π n = Π {0,1,...,n 1} by Π A = {P Π n : red(p) = {0, 1,..., n 1} \ A}. Π n is partitioned into {Π A } A {1,2,...,n 1}, and there is a natural correspondence between Π A and Π A. If A = {a 1, a 2,, a l } with a 1 < a 2 < < a l then the correspondence is obtained by mapping a i to i 1 for each i. This correspondence reduces the number of blocks by 1, since the red block is ignored.

43 Decomposition of NBW (k) n Let us define a subset NBW (k) A NBW (k) A of NBW(k) n by = Π A NBW (k) n. We can see that NBW (k) n is partitioned into {NBW (k) A } A {1,2,...,n 1}, and there is a natural correspondence between NBW (k) A and, i.e., the restriction of the natural correspondence between NW (k) A Π A and Π A.

44 NC (k) n+1 and NBW(k) n+1 Define a weight function w on Π n by w(p) = t P for each P Π n, where P denotes the number of blocks in P. Since we have w(p) = NC (k) n+1 (t) and P NBW (k) n+1 P NC (k) n+1 w(p) = = = t A {1,...,n} P NBW (k) A A {1,...,n} n i=0 t ( ) n i P NW (k) A NW (k) i (t), identity (1) is equivalent to the following theorem. w(p) w(p)

45 Combinatorial bijection Φ Theorem For all n and k, there exists a weight-preserving combinatorial bijection Φ : NBW (k) n+1 NC(k) n+1 proving w(p) = w(p). P NBW (k) n+1 P NC (k) n+1

46 What are we looking for? Recall our earlier example, P NBW (3) 17, P = {{0, 4, 8, 15}, {1, 3, 10}, {2, 11}, {5, 16}, {6, 13}, {7, 9, 12, 14}} There are no black 3-crossings and no black weak 3-crossings. There are red 3-crossings and red weak 3-crossings We need to find Φ(P) NC (3) 17

47 The center of a k-crossing Recall that a weak k-crossing of P Π n is a k-subset (i 1, j 1 ), (i 2, j 2 ),..., (i k, j k ) of arcs such that i 1 < i 2 < < i k = j 1 < j 2 < < j k. The position c, c = i k = j 1, is called the center of the weak k-crossing. We will say that a node α is under a k-crossing (i 1, j 1 ), (i 2, j 2 ),..., (i k, j k ), if i k < α < j 1, i.e. i 1 < i 2 < < i k < α < j 1 < j 2 < < j k.

48 Combinatorial bijection Φ Theorem For all n and k, there exists a weight-preserving combinatorial bijection Φ : NBW (k) n+1 NC(k) n+1 proving w(p) = w(p). Outline: P NBW (k) n+1 P NC (k) n+1 1 Change red nodes under black (k 1)-crossing into centers of black weak k-crossings. 2 Change red k-crossings into red nodes under black (k 1)-crossings.

49 Combinatorial bijection Φ An example of Φ : NBW (3) 17 NC(3) 17 with (n, k) = (16, 3): P = {{0, 4, 8, 15}, {1, 3, 10}, {2, 11}, {5, 16}, {6, 13}, {7, 9, 12, 14}} Red 8 is under four black 2-crossings of which the innermost is (3, 10), (6, 13). Change 8 to the center of a black weak 3-crossing, (3, 8), (6, 10), (8, 13). Uncolor 8.

50 Combinatorial bijection Φ An example of Φ : NBW (3) 17 NC(3) 17 with (n, k) = (16, 3): P = {{0, 4, 8, 15}, {1, 3, 10}, {2, 11}, {5, 16}, {6, 13}, {7, 9, 12, 14}} Red 8 is under four black 2-crossings of which the innermost is (3, 10), (6, 13).

51 Combinatorial bijection Φ An example of Φ : NBW (3) 17 NC(3) 17 with (n, k) = (16, 3): P = {{0, 4, 8, 15}, {1, 3, 10}, {2, 11}, {5, 16}, {6, 13}, {7, 9, 12, 14}} Red 8 is under four black 2-crossings of which the innermost is (3, 10), (6, 13). Change 8 to the center of a black weak 3-crossing, (3, 8), (6, 10), (8, 13). Uncolor 8, and fix colors.

52 Combinatorial bijection Φ Blue indicates the weak 3-crossing.

53 Combinatorial bijection Φ Blue indicates the weak 3-crossing.

54 Combinatorial bijection Φ Arcs (2, 11), (4, 15), (5, 16) form a red 3-crossing. Do cyclic rotation : (2, 11), (4, 15), (5, 16) (2, 15), (4, 11), (5, 16) (i 1, j 1 ), (i 2, j 2 ),..., (i p 1, j p ), (i p, j p ), (i p+1, j p+1 ),..., (i k, j k ) (i 1, j 2 ), (i 2, j 3 ),..., (i p 1, j p ), (i p, j 1 ), (i p+1, j p+1 ),..., (i k, j k )

55 Combinatorial bijection Φ Arcs (2, 11), (4, 15), (5, 16) form a red 3-crossing. Do cyclic rotation : (2, 11), (4, 15), (5, 16) (2, 15), (4, 11), (5, 16)

56 Combinatorial bijection Φ Arcs (3, 8), (4, 11), (5, 16) form a red 3-crossing. Do cyclic rotation : (3, 8), (4, 11), (5, 16) (3, 11), (4, 8), (5, 16) (i 1, j 1 ), (i 2, j 2 ),..., (i p 1, j p ), (i p, j p ), (i p+1, j p+1 ),..., (i k, j k ) (i 1, j 2 ), (i 2, j 3 ),..., (i p 1, j p ), (i p, j 1 ), (i p+1, j p+1 ),..., (i k, j k )

57 Combinatorial bijection Φ Arcs (3, 8), (4, 11), (5, 16) form a red 3-crossing. Do cyclic rotation : (3, 8), (4, 11), (5, 16) (3, 11), (4, 8), (5, 16)

58 Combinatorial bijection Φ The last colored arc diagram corresponds to Φ(P) NC (3) 17 : P = {{0, 4, 8, 15}, {1, 3, 10}, {2, 11}, {5, 16}, {6, 13}, {7, 9, 12, 14}}. Φ(P) = ({0, 4, 8, 13}, {1, 3, 11}, {2, 15}, {5, 16}, {6, 10}, {7, 9, 12, 14}).

59 Combinatorial bijection Φ 1 The crucial reason why Φ is reversible is that whenever we do the cyclic rotation to a red k-crossing, we create a red node under a black (k 1)-crossing. In the following, we show Φ is a bijection by defining its inverse explicitly: Φ 1 : NC (k) n+1 NBW(k) n+1.

60 Combinatorial bijection Φ 1 An example of Φ 1 with (n, k) = (16, 4) and P NC (4) 17 : P = {{0, 3, 5, 14}, {1, 6, 8, 11, 12}, {2, 9, 15}, {4, 10, 16}, {7, 13}} Red 5 is under a black 3-crossing: (1, 6), (2, 9), (4, 10). (1, 6), (2, 9), (3, 5), (4, 10) (1, 5), (2, 6), (3, 9), (4, 10) (i 1, j 1 ), (i 2, j 2 ),..., (i t, j t ), (a, a), (i t+1, j t+1 ),..., (i k 1, j k 1 ) (i 1, a), (i 2, j 1 ),..., (i t, j t 1 ), (a, j t ), (i t+1, j t+1 ),..., (i k 1, j k 1 )

61 Combinatorial bijection Φ 1 Red 5 is under a black 3-crossing: (1, 6), (2, 9), (4, 10). (1, 6), (2, 9), (3, 5), (4, 10) (1, 5), (2, 6), (3, 9), (4, 10)

62 Combinatorial bijection Φ Arcs (1, 5), (2, 6), (4, 10), (5, 14) form a black weak 4-crossing. Change them into a black 3-crossing (1, 6), (2, 10), (4, 14).

63 Combinatorial bijection Φ Change black weak 4-crossing (1, 5), (2, 6), (4, 10), (5, 14) into a black 3-crossing (1, 6), (2, 10), (4, 14) The last colored arc diagram corresponds to Φ 1 (P) NBW (4) 17 : Φ 1 (P) = {{0, 3, 5, 9, 15}, {1, 6, 8, 11, 12}, {2, 10, 16}, {4, 14}, {7, 13}}.

64 Problem Is there any generating function approach to (1)? NC (k) n+1 (t) = t n i=0 ( ) n i NW (k) i (t)

65 Reference This presentation is based on a preprint,, by Zhicong Lin and, which will be posted soon.

66 Thank you very much Department of Mathematical Sciences KAIST

67 I would like to thank Professor Dennis Stanton for teaching me the Pleasure of Doing Combinatorics

d-regular SET PARTITIONS AND ROOK PLACEMENTS

d-regular SET PARTITIONS AND ROOK PLACEMENTS Séminaire Lotharingien de Combinatoire 62 (2009), Article B62a d-egula SET PATITIONS AND OOK PLACEMENTS ANISSE KASAOUI Université de Lyon; Université Claude Bernard Lyon 1 Institut Camille Jordan CNS UM

More information

Named numbres. Ngày 25 tháng 11 năm () Named numbres Ngày 25 tháng 11 năm / 7

Named numbres. Ngày 25 tháng 11 năm () Named numbres Ngày 25 tháng 11 năm / 7 Named numbres Ngày 25 tháng 11 năm 2011 () Named numbres Ngày 25 tháng 11 năm 2011 1 / 7 Fibonacci, Catalan, Stirling, Euler, Bernoulli Many sequences are famous. 1 1, 2, 3, 4,... the integers. () Named

More information

Chapter 4. Measure Theory. 1. Measure Spaces

Chapter 4. Measure Theory. 1. Measure Spaces Chapter 4. Measure Theory 1. Measure Spaces Let X be a nonempty set. A collection S of subsets of X is said to be an algebra on X if S has the following properties: 1. X S; 2. if A S, then A c S; 3. if

More information

EXTERIOR BLOCKS OF NONCROSSING PARTITIONS

EXTERIOR BLOCKS OF NONCROSSING PARTITIONS EXTERIOR BLOCKS OF NONCROSSING PARTITIONS BERTON A. EARNSHAW Abstract. This paper defines an exterior block of a noncrossing partition, then gives a formula for the number of noncrossing partitions of

More information

Definition: A binary relation R from a set A to a set B is a subset R A B. Example:

Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Chapter 9 1 Binary Relations Definition: A binary relation R from a set A to a set B is a subset R A B. Example: Let A = {0,1,2} and B = {a,b} {(0, a), (0, b), (1,a), (2, b)} is a relation from A to B.

More information

PRIMARY DECOMPOSITION FOR THE INTERSECTION AXIOM

PRIMARY DECOMPOSITION FOR THE INTERSECTION AXIOM PRIMARY DECOMPOSITION FOR THE INTERSECTION AXIOM ALEX FINK 1. Introduction and background Consider the discrete conditional independence model M given by {X 1 X 2 X 3, X 1 X 3 X 2 }. The intersection axiom

More information

LARGE SCHRÖDER PATHS BY TYPES AND SYMMETRIC FUNCTIONS

LARGE SCHRÖDER PATHS BY TYPES AND SYMMETRIC FUNCTIONS Bull. Korean Math. Soc. 51 (2014), No. 4, pp. 1229 1240 http://dx.doi.org/10.4134/bkms.2014.51.4.1229 LARGE SCHRÖDER PATHS BY TYPES AND SYMMETRIC FUNCTIONS Su Hyung An, Sen-Peng Eu, and Sangwook Kim Abstract.

More information

Section Summary. Relations and Functions Properties of Relations. Combining Relations

Section Summary. Relations and Functions Properties of Relations. Combining Relations Chapter 9 Chapter Summary Relations and Their Properties n-ary Relations and Their Applications (not currently included in overheads) Representing Relations Closures of Relations (not currently included

More information

Generalized Pigeonhole Properties of Graphs and Oriented Graphs

Generalized Pigeonhole Properties of Graphs and Oriented Graphs Europ. J. Combinatorics (2002) 23, 257 274 doi:10.1006/eujc.2002.0574 Available online at http://www.idealibrary.com on Generalized Pigeonhole Properties of Graphs and Oriented Graphs ANTHONY BONATO, PETER

More information

SHELLABILITY AND HIGHER COHEN-MACAULAY CONNECTIVITY OF GENERALIZED CLUSTER COMPLEXES

SHELLABILITY AND HIGHER COHEN-MACAULAY CONNECTIVITY OF GENERALIZED CLUSTER COMPLEXES ISRAEL JOURNAL OF MATHEMATICS 167 (2008), 177 191 DOI: 10.1007/s11856-008-1046-6 SHELLABILITY AND HIGHER COHEN-MACAULAY CONNECTIVITY OF GENERALIZED CLUSTER COMPLEXES BY Christos A. Athanasiadis Department

More information

Linked partitions and linked cycles

Linked partitions and linked cycles European Journal of Combinatorics 29 (2008) 1408 1426 www.elsevier.com/locate/ejc Linked partitions and linked cycles William Y.C. Chen a, Susan Y.J. Wu a, Catherine H. Yan a,b a Center for Combinatorics,

More information

Applications of Chromatic Polynomials Involving Stirling Numbers

Applications of Chromatic Polynomials Involving Stirling Numbers Applications of Chromatic Polynomials Involving Stirling Numbers A. Mohr and T.D. Porter Department of Mathematics Southern Illinois University Carbondale, IL 6290 tporter@math.siu.edu June 23, 2008 The

More information

Tree sets. Reinhard Diestel

Tree sets. Reinhard Diestel 1 Tree sets Reinhard Diestel Abstract We study an abstract notion of tree structure which generalizes treedecompositions of graphs and matroids. Unlike tree-decompositions, which are too closely linked

More information

Relations and Equivalence Relations

Relations and Equivalence Relations Relations and Equivalence Relations In this section, we shall introduce a formal definition for the notion of a relation on a set. This is something we often take for granted in elementary algebra courses,

More information

ENUMERATION OF CONNECTED CATALAN OBJECTS BY TYPE. 1. Introduction

ENUMERATION OF CONNECTED CATALAN OBJECTS BY TYPE. 1. Introduction ENUMERATION OF CONNECTED CATALAN OBJECTS BY TYPE BRENDON RHOADES Abstract. Noncrossing set partitions, nonnesting set partitions, Dyck paths, and rooted plane trees are four classes of Catalan objects

More information

Counting Peaks and Valleys in a Partition of a Set

Counting Peaks and Valleys in a Partition of a Set 1 47 6 11 Journal of Integer Sequences Vol. 1 010 Article 10.6.8 Counting Peas and Valleys in a Partition of a Set Toufi Mansour Department of Mathematics University of Haifa 1905 Haifa Israel toufi@math.haifa.ac.il

More information

Pattern Popularity in 132-Avoiding Permutations

Pattern Popularity in 132-Avoiding Permutations Pattern Popularity in 132-Avoiding Permutations The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher Rudolph,

More information

Self-dual interval orders and row-fishburn matrices

Self-dual interval orders and row-fishburn matrices Self-dual interval orders and row-fishburn matrices Sherry H. F. Yan Department of Mathematics Zhejiang Normal University Jinhua 321004, P.R. China huifangyan@hotmail.com Yuexiao Xu Department of Mathematics

More information

Central Groupoids, Central Digraphs, and Zero-One Matrices A Satisfying A 2 = J

Central Groupoids, Central Digraphs, and Zero-One Matrices A Satisfying A 2 = J Central Groupoids, Central Digraphs, and Zero-One Matrices A Satisfying A 2 = J Frank Curtis, John Drew, Chi-Kwong Li, and Daniel Pragel September 25, 2003 Abstract We study central groupoids, central

More information

Wieland drift for triangular fully packed loop configurations

Wieland drift for triangular fully packed loop configurations Wieland drift for triangular fully packed loop configurations Sabine Beil Ilse Fischer Fakultät für Mathematik Universität Wien Wien, Austria {sabine.beil,ilse.fischer}@univie.ac.at Philippe Nadeau Institut

More information

Asymptotically optimal induced universal graphs

Asymptotically optimal induced universal graphs Asymptotically optimal induced universal graphs Noga Alon Abstract We prove that the minimum number of vertices of a graph that contains every graph on vertices as an induced subgraph is (1 + o(1))2 (

More information

Linked Partitions and Linked Cycles

Linked Partitions and Linked Cycles Linked Partitions and Linked Cycles William Y. C. Chen 1,4, Susan Y. J. Wu 2 and Catherine H. Yan 3,5 1,2,3 Center for Combinatorics, LPMC Nankai University, Tianjin 300071, P. R. China 3 Department of

More information

Chapter 9: Relations Relations

Chapter 9: Relations Relations Chapter 9: Relations 9.1 - Relations Definition 1 (Relation). Let A and B be sets. A binary relation from A to B is a subset R A B, i.e., R is a set of ordered pairs where the first element from each pair

More information

The Gaussian coefficient revisited

The Gaussian coefficient revisited The Gaussian coefficient revisited Richard EHRENBORG and Margaret A. READDY Abstract We give new -(1+)-analogue of the Gaussian coefficient, also now as the -binomial which, lie the original -binomial

More information

On the symmetry of the distribution of k-crossings and k-nestings in graphs

On the symmetry of the distribution of k-crossings and k-nestings in graphs On the symmetry of the distribution of k-crossings and k-nestings in graphs Anna de Mier Submitted: Oct 11, 2006; Accepted: Nov 7, 2006; Published: Nov 23, 2006 Mathematics Subject Classification: 05A19

More information

Paths, Permutations and Trees. Enumerating Permutations Avoiding Three Babson - Steingrímsson Patterns

Paths, Permutations and Trees. Enumerating Permutations Avoiding Three Babson - Steingrímsson Patterns Paths, Permutations and Trees Center for Combinatorics Nankai University Tianjin, February 5-7, 004 Enumerating Permutations Avoiding Three Babson - Steingrímsson Patterns Antonio Bernini, Elisa Pergola

More information

Edge-disjoint induced subgraphs with given minimum degree

Edge-disjoint induced subgraphs with given minimum degree Edge-disjoint induced subgraphs with given minimum degree Raphael Yuster Department of Mathematics University of Haifa Haifa 31905, Israel raphy@math.haifa.ac.il Submitted: Nov 9, 01; Accepted: Feb 5,

More information

The Phagocyte Lattice of Dyck Words

The Phagocyte Lattice of Dyck Words DOI 10.1007/s11083-006-9034-0 The Phagocyte Lattice of Dyck Words J. L. Baril J. M. Pallo Received: 26 September 2005 / Accepted: 25 May 2006 Springer Science + Business Media B.V. 2006 Abstract We introduce

More information

Group connectivity of certain graphs

Group connectivity of certain graphs Group connectivity of certain graphs Jingjing Chen, Elaine Eschen, Hong-Jian Lai May 16, 2005 Abstract Let G be an undirected graph, A be an (additive) Abelian group and A = A {0}. A graph G is A-connected

More information

GENERALIZED PIGEONHOLE PROPERTIES OF GRAPHS AND ORIENTED GRAPHS

GENERALIZED PIGEONHOLE PROPERTIES OF GRAPHS AND ORIENTED GRAPHS GENERALIZED PIGEONHOLE PROPERTIES OF GRAPHS AND ORIENTED GRAPHS ANTHONY BONATO, PETER CAMERON, DEJAN DELIĆ, AND STÉPHAN THOMASSÉ ABSTRACT. A relational structure A satisfies the n k property if whenever

More information

CSC Discrete Math I, Spring Relations

CSC Discrete Math I, Spring Relations CSC 125 - Discrete Math I, Spring 2017 Relations Binary Relations Definition: A binary relation R from a set A to a set B is a subset of A B Note that a relation is more general than a function Example:

More information

Catalan numbers Wonders of Science CESCI, Madurai, August

Catalan numbers Wonders of Science CESCI, Madurai, August Catalan numbers Wonders of Science CESCI, Madurai, August 25 2009 V.S. Sunder Institute of Mathematical Sciences Chennai, India sunder@imsc.res.in August 25, 2009 Enumerative combinatorics Enumerative

More information

2 Generating Functions

2 Generating Functions 2 Generating Functions In this part of the course, we re going to introduce algebraic methods for counting and proving combinatorial identities. This is often greatly advantageous over the method of finding

More information

Unlabeled Motzkin numbers

Unlabeled Motzkin numbers Dept. Computer Science and Engineering 013 Catalan numbers Catalan numbers can be defined by the explicit formula: C n = 1 n = n! n + 1 n n!n + 1! and the ordinary generating function: Cx = n=0 C n x n

More information

An approximate version of Hadwiger s conjecture for claw-free graphs

An approximate version of Hadwiger s conjecture for claw-free graphs An approximate version of Hadwiger s conjecture for claw-free graphs Maria Chudnovsky Columbia University, New York, NY 10027, USA and Alexandra Ovetsky Fradkin Princeton University, Princeton, NJ 08544,

More information

Enumeration Schemes for Words Avoiding Permutations

Enumeration Schemes for Words Avoiding Permutations Enumeration Schemes for Words Avoiding Permutations Lara Pudwell November 27, 2007 Abstract The enumeration of permutation classes has been accomplished with a variety of techniques. One wide-reaching

More information

Actions and Identities on Set Partitions

Actions and Identities on Set Partitions Actions and Identities on Set Partitions The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher Marberg,

More information

On shredders and vertex connectivity augmentation

On shredders and vertex connectivity augmentation On shredders and vertex connectivity augmentation Gilad Liberman The Open University of Israel giladliberman@gmail.com Zeev Nutov The Open University of Israel nutov@openu.ac.il Abstract We consider the

More information

ZEROS OF SPARSE POLYNOMIALS OVER LOCAL FIELDS OF CHARACTERISTIC p

ZEROS OF SPARSE POLYNOMIALS OVER LOCAL FIELDS OF CHARACTERISTIC p ZEROS OF SPARSE POLYNOMIALS OVER LOCAL FIELDS OF CHARACTERISTIC p BJORN POONEN 1. Statement of results Let K be a field of characteristic p > 0 equipped with a valuation v : K G taking values in an ordered

More information

POLYA S ENUMERATION ALEC ZHANG

POLYA S ENUMERATION ALEC ZHANG POLYA S ENUMERATION ALEC ZHANG Abstract. We explore Polya s theory of counting from first principles, first building up the necessary algebra and group theory before proving Polya s Enumeration Theorem

More information

The Singapore Copyright Act applies to the use of this document.

The Singapore Copyright Act applies to the use of this document. Title On graphs whose low polynomials have real roots only Author(s) Fengming Dong Source Electronic Journal of Combinatorics, 25(3): P3.26 Published by Electronic Journal of Combinatorics This document

More information

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations Page 1 Definitions Tuesday, May 8, 2018 12:23 AM Notations " " means "equals, by definition" the set of all real numbers the set of integers Denote a function from a set to a set by Denote the image of

More information

n(n 1) = (n + 1)n(n 1)/ ( 1) n(n 1)(n 2) = (n + 1)n(n 1)(n 2)/4

n(n 1) = (n + 1)n(n 1)/ ( 1) n(n 1)(n 2) = (n + 1)n(n 1)(n 2)/4 NOTES FROM THE FIRST TWO CLASSES MIKE ZABROCKI - SEPTEMBER 6 &, 202 main idea of this class + 2 + 3 + + n = n(n + )/2 to r + 2 r + + n r =??? Just to show what we are up against: + 2 + 3 + + n = n(n +

More information

The Topology of Intersections of Coloring Complexes

The Topology of Intersections of Coloring Complexes The Topology of Intersections of Coloring Complexes Jakob Jonsson October 19, 2005 Abstract In a construction due to Steingrímsson, a simplicial complex is associated to each simple graph; the complex

More information

On a refinement of Wilf-equivalence for permutations

On a refinement of Wilf-equivalence for permutations On a refinement of Wilf-equivalence for permutations Sherry H. F. Yan Department of Mathematics Zhejiang Normal University Jinhua 321004, P.R. China huifangyan@hotmail.com Yaqiu Zhang Department of Mathematics

More information

A Major Index for Matchings and Set Partitions

A Major Index for Matchings and Set Partitions A Major Index for Matchings and Set Partitions William Y.C. Chen,5, Ira Gessel, Catherine H. Yan,6 and Arthur L.B. Yang,5,, Center for Combinatorics, LPMC Nankai University, Tianjin 0007, P. R. China Department

More information

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School Basic counting techniques Periklis A. Papakonstantinou Rutgers Business School i LECTURE NOTES IN Elementary counting methods Periklis A. Papakonstantinou MSIS, Rutgers Business School ALL RIGHTS RESERVED

More information

Automorphism groups of wreath product digraphs

Automorphism groups of wreath product digraphs Automorphism groups of wreath product digraphs Edward Dobson Department of Mathematics and Statistics Mississippi State University PO Drawer MA Mississippi State, MS 39762 USA dobson@math.msstate.edu Joy

More information

On Powers of some Intersection Graphs

On Powers of some Intersection Graphs On Powers of some Intersection Graphs Geir Agnarsson Abstract We first consider m-trapezoid graphs and circular m-trapezoid graphs and give new constructive proofs that both these classes are closed under

More information

Euler characteristic of the truncated order complex of generalized noncrossing partitions

Euler characteristic of the truncated order complex of generalized noncrossing partitions Euler characteristic of the truncated order complex of generalized noncrossing partitions D. Armstrong and C. Krattenthaler Department of Mathematics, University of Miami, Coral Gables, Florida 33146,

More information

arxiv: v1 [math.co] 6 Jun 2014

arxiv: v1 [math.co] 6 Jun 2014 WIELAND GYRATION FOR TRIANGULAR FULLY PACKED LOOP CONFIGURATIONS SABINE BEIL, ILSE FISCHER, AND PHILIPPE NADEAU arxiv:1406.1657v1 [math.co] 6 Jun 2014 Abstract. Triangular fully packed loop configurations

More information

5 Set Operations, Functions, and Counting

5 Set Operations, Functions, and Counting 5 Set Operations, Functions, and Counting Let N denote the positive integers, N 0 := N {0} be the non-negative integers and Z = N 0 ( N) the positive and negative integers including 0, Q the rational numbers,

More information

Pattern avoidance in partial permutations

Pattern avoidance in partial permutations Pattern avoidance in partial permutations Anders Claesson Department of Computer and Information Sciences, University of Strathclyde, Glasgow, G1 1XH, UK anders.claesson@cis.strath.ac.uk Vít Jelínek Fakultät

More information

Sets. A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set.

Sets. A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set. Sets A set is a collection of objects without repeats. The size or cardinality of a set S is denoted S and is the number of elements in the set. If A and B are sets, then the set of ordered pairs each

More information

A BIJECTION BETWEEN WELL-LABELLED POSITIVE PATHS AND MATCHINGS

A BIJECTION BETWEEN WELL-LABELLED POSITIVE PATHS AND MATCHINGS Séminaire Lotharingien de Combinatoire 63 (0), Article B63e A BJECTON BETWEEN WELL-LABELLED POSTVE PATHS AND MATCHNGS OLVER BERNARD, BERTRAND DUPLANTER, AND PHLPPE NADEAU Abstract. A well-labelled positive

More information

A BIJECTION BETWEEN NONCROSSING AND NONNESTING PARTITIONS OF TYPES A, B AND C

A BIJECTION BETWEEN NONCROSSING AND NONNESTING PARTITIONS OF TYPES A, B AND C Volume 6, Number 2, Pages 70 90 ISSN 1715-0868 A BIJECTION BETWEEN NONCROSSING AND NONNESTING PARTITIONS OF TYPES A, B AND C RICARDO MAMEDE Abstract The total number of noncrossing ( partitions of type

More information

Extremal Graphs Having No Stable Cutsets

Extremal Graphs Having No Stable Cutsets Extremal Graphs Having No Stable Cutsets Van Bang Le Institut für Informatik Universität Rostock Rostock, Germany le@informatik.uni-rostock.de Florian Pfender Department of Mathematics and Statistics University

More information

What you learned in Math 28. Rosa C. Orellana

What you learned in Math 28. Rosa C. Orellana What you learned in Math 28 Rosa C. Orellana Chapter 1 - Basic Counting Techniques Sum Principle If we have a partition of a finite set S, then the size of S is the sum of the sizes of the blocks of the

More information

Linear chord diagrams with long chords

Linear chord diagrams with long chords Linear chord diagrams with long chords Everett Sullivan arxiv:1611.02771v1 [math.co] 8 Nov 2016 Version 1.0 November 10, 2016 Abstract A linear chord diagram of size n is a partition of the set {1,2,,2n}

More information

To hand in: (a) Prove that a group G is abelian (= commutative) if and only if (xy) 2 = x 2 y 2 for all x, y G.

To hand in: (a) Prove that a group G is abelian (= commutative) if and only if (xy) 2 = x 2 y 2 for all x, y G. Homework #6. Due Thursday, October 14th Reading: For this homework assignment: Sections 3.3 and 3.4 (up to page 167) Before the class next Thursday: Sections 3.5 and 3.4 (pp. 168-171). Also review the

More information

Introduction to Set Operations

Introduction to Set Operations Introduction to Set Operations CIS008-2 Logic and Foundations of Mathematics David Goodwin david.goodwin@perisic.com 12:00, Friday 21 st October 2011 Outline 1 Recap 2 Introduction to sets 3 Class Exercises

More information

Derangements with an additional restriction (and zigzags)

Derangements with an additional restriction (and zigzags) Derangements with an additional restriction (and zigzags) István Mező Nanjing University of Information Science and Technology 2017. 05. 27. This talk is about a class of generalized derangement numbers,

More information

Rook Polynomials In Higher Dimensions

Rook Polynomials In Higher Dimensions Grand Valley State University ScholarWors@GVSU Student Summer Scholars Undergraduate Research and Creative Practice 2009 Roo Polynomials In Higher Dimensions Nicholas Krzywonos Grand Valley State University

More information

Rook theory and simplicial complexes

Rook theory and simplicial complexes Rook theory and simplicial complexes Ira M. Gessel Department of Mathematics Brandeis University A Conference to Celebrate The Mathematics of Michelle Wachs University of Miami, Coral Gables, Florida January

More information

Animals and 2-Motzkin Paths

Animals and 2-Motzkin Paths 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 8 (2005), Article 0556 Animals and 2-Motzkin Paths Wen-jin Woan 1 Department of Mathematics Howard University Washington, DC 20059 USA wwoan@howardedu

More information

30 Classification of States

30 Classification of States 30 Classification of States In a Markov chain, each state can be placed in one of the three classifications. 1 Since each state falls into one and only one category, these categories partition the states.

More information

Acyclic orientations of graphs

Acyclic orientations of graphs Discrete Mathematics 306 2006) 905 909 www.elsevier.com/locate/disc Acyclic orientations of graphs Richard P. Stanley Department of Mathematics, University of California, Berkeley, Calif. 94720, USA Abstract

More information

Asymptotically optimal induced universal graphs

Asymptotically optimal induced universal graphs Asymptotically optimal induced universal graphs Noga Alon Abstract We prove that the minimum number of vertices of a graph that contains every graph on vertices as an induced subgraph is (1+o(1))2 ( 1)/2.

More information

0 Sets and Induction. Sets

0 Sets and Induction. Sets 0 Sets and Induction Sets A set is an unordered collection of objects, called elements or members of the set. A set is said to contain its elements. We write a A to denote that a is an element of the set

More information

MATH 215 Sets (S) Definition 1 A set is a collection of objects. The objects in a set X are called elements of X.

MATH 215 Sets (S) Definition 1 A set is a collection of objects. The objects in a set X are called elements of X. MATH 215 Sets (S) Definition 1 A set is a collection of objects. The objects in a set X are called elements of X. Notation 2 A set can be described using set-builder notation. That is, a set can be described

More information

Equality of P-partition Generating Functions

Equality of P-partition Generating Functions Bucknell University Bucknell Digital Commons Honors Theses Student Theses 2011 Equality of P-partition Generating Functions Ryan Ward Bucknell University Follow this and additional works at: https://digitalcommons.bucknell.edu/honors_theses

More information

An Introduction to Combinatorial Species

An Introduction to Combinatorial Species An Introduction to Combinatorial Species Ira M. Gessel Department of Mathematics Brandeis University Summer School on Algebraic Combinatorics Korea Institute for Advanced Study Seoul, Korea June 14, 2016

More information

Ideal clutters that do not pack

Ideal clutters that do not pack Ideal clutters that do not pack Ahmad Abdi Gérard Cornuéjols Kanstantsin Pashkovich October 31, 2017 Abstract For a clutter C over ground set E, a pair of distinct elements e, f E are coexclusive if every

More information

arxiv:math/ v1 [math.co] 10 Nov 1998

arxiv:math/ v1 [math.co] 10 Nov 1998 A self-dual poset on objects counted by the Catalan numbers arxiv:math/9811067v1 [math.co] 10 Nov 1998 Miklós Bóna School of Mathematics Institute for Advanced Study Princeton, NJ 08540 April 11, 2017

More information

Thus, X is connected by Problem 4. Case 3: X = (a, b]. This case is analogous to Case 2. Case 4: X = (a, b). Choose ε < b a

Thus, X is connected by Problem 4. Case 3: X = (a, b]. This case is analogous to Case 2. Case 4: X = (a, b). Choose ε < b a Solutions to Homework #6 1. Complete the proof of the backwards direction of Theorem 12.2 from class (which asserts the any interval in R is connected). Solution: Let X R be a closed interval. Case 1:

More information

Every line graph of a 4-edge-connected graph is Z 3 -connected

Every line graph of a 4-edge-connected graph is Z 3 -connected European Journal of Combinatorics 0 (2009) 595 601 Contents lists available at ScienceDirect European Journal of Combinatorics journal homepage: www.elsevier.com/locate/ejc Every line graph of a 4-edge-connected

More information

Hanoi Graphs and Some Classical Numbers

Hanoi Graphs and Some Classical Numbers Hanoi Graphs and Some Classical Numbers Sandi Klavžar Uroš Milutinović Ciril Petr Abstract The Hanoi graphs Hp n model the p-pegs n-discs Tower of Hanoi problem(s). It was previously known that Stirling

More information

A Combinatorial Interpretation of the Numbers 6 (2n)! /n! (n + 2)!

A Combinatorial Interpretation of the Numbers 6 (2n)! /n! (n + 2)! 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 8 (2005), Article 05.2.3 A Combinatorial Interpretation of the Numbers 6 (2n)! /n! (n + 2)! Ira M. Gessel 1 and Guoce Xin Department of Mathematics Brandeis

More information

Advanced Combinatorial Optimization September 22, Lecture 4

Advanced Combinatorial Optimization September 22, Lecture 4 8.48 Advanced Combinatorial Optimization September 22, 2009 Lecturer: Michel X. Goemans Lecture 4 Scribe: Yufei Zhao In this lecture, we discuss some results on edge coloring and also introduce the notion

More information

Probabilistic Proofs of Existence of Rare Events. Noga Alon

Probabilistic Proofs of Existence of Rare Events. Noga Alon Probabilistic Proofs of Existence of Rare Events Noga Alon Department of Mathematics Sackler Faculty of Exact Sciences Tel Aviv University Ramat-Aviv, Tel Aviv 69978 ISRAEL 1. The Local Lemma In a typical

More information

CHAPTER 6. Prime Numbers. Definition and Fundamental Results

CHAPTER 6. Prime Numbers. Definition and Fundamental Results CHAPTER 6 Prime Numbers Part VI of PJE. Definition and Fundamental Results 6.1. Definition. (PJE definition 23.1.1) An integer p is prime if p > 1 and the only positive divisors of p are 1 and p. If n

More information

Noncommutative Abel-like identities

Noncommutative Abel-like identities Noncommutative Abel-like identities Darij Grinberg draft, January 15, 2018 Contents 1. Introduction 1 2. The identities 3 3. The proofs 7 3.1. Proofs of Theorems 2.2 and 2.4...................... 7 3.2.

More information

The number of Euler tours of random directed graphs

The number of Euler tours of random directed graphs The number of Euler tours of random directed graphs Páidí Creed School of Mathematical Sciences Queen Mary, University of London United Kingdom P.Creed@qmul.ac.uk Mary Cryan School of Informatics University

More information

Multi-coloring and Mycielski s construction

Multi-coloring and Mycielski s construction Multi-coloring and Mycielski s construction Tim Meagher Fall 2010 Abstract We consider a number of related results taken from two papers one by W. Lin [1], and the other D. C. Fisher[2]. These articles

More information

An Investigation on an Extension of Mullineux Involution

An Investigation on an Extension of Mullineux Involution An Investigation on an Extension of Mullineux Involution SPUR Final Paper, Summer 06 Arkadiy Frasinich Mentored by Augustus Lonergan Project Suggested By Roman Bezrukavnikov August 3, 06 Abstract In this

More information

Isotropic matroids III: Connectivity

Isotropic matroids III: Connectivity Isotropic matroids III: Connectivity Robert Brijder Hasselt University Belgium robert.brijder@uhasselt.be Lorenzo Traldi Lafayette College Easton, Pennsylvania 18042, USA traldil@lafayette.edu arxiv:1602.03899v2

More information

Unitary Matrix Integrals, Primitive Factorizations, and Jucys-Murphy Elements

Unitary Matrix Integrals, Primitive Factorizations, and Jucys-Murphy Elements FPSAC 2010, San Francisco, USA DMTCS proc. AN, 2010, 271 280 Unitary Matrix Integrals, Primitive Factorizations, and Jucys-Murphy Elements Sho Matsumoto 1 and Jonathan Novak 2,3 1 Graduate School of Mathematics,

More information

12.1 The Achromatic Number of a Graph

12.1 The Achromatic Number of a Graph Chapter 1 Complete Colorings The proper vertex colorings of a graph G in which we are most interested are those that use the smallest number of colors These are, of course, the χ(g)-colorings of G If χ(g)

More information

On a continued fraction formula of Wall

On a continued fraction formula of Wall c Te Ramanujan Journal,, 7 () Kluwer Academic Publisers, Boston. Manufactured in Te Neterlands. On a continued fraction formula of Wall DONGSU KIM * Department of Matematics, KAIST, Taejon 305-70, Korea

More information

Claw-free Graphs. III. Sparse decomposition

Claw-free Graphs. III. Sparse decomposition Claw-free Graphs. III. Sparse decomposition Maria Chudnovsky 1 and Paul Seymour Princeton University, Princeton NJ 08544 October 14, 003; revised May 8, 004 1 This research was conducted while the author

More information

Chapter 5: Integer Compositions and Partitions and Set Partitions

Chapter 5: Integer Compositions and Partitions and Set Partitions Chapter 5: Integer Compositions and Partitions and Set Partitions Prof. Tesler Math 184A Winter 2017 Prof. Tesler Ch. 5: Compositions and Partitions Math 184A / Winter 2017 1 / 32 5.1. Compositions A strict

More information

Packing of Rigid Spanning Subgraphs and Spanning Trees

Packing of Rigid Spanning Subgraphs and Spanning Trees Packing of Rigid Spanning Subgraphs and Spanning Trees Joseph Cheriyan Olivier Durand de Gevigney Zoltán Szigeti December 14, 2011 Abstract We prove that every 6k + 2l, 2k-connected simple graph contains

More information

On divisibility of Narayana numbers by primes

On divisibility of Narayana numbers by primes On divisibility of Narayana numbers by primes Miklós Bóna Department of Mathematics, University of Florida Gainesville, FL 32611, USA, bona@math.ufl.edu and Bruce E. Sagan Department of Mathematics, Michigan

More information

DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS

DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS AARON ABRAMS, DAVID GAY, AND VALERIE HOWER Abstract. We show that the discretized configuration space of k points in the n-simplex is homotopy equivalent

More information

a + b = b + a and a b = b a. (a + b) + c = a + (b + c) and (a b) c = a (b c). a (b + c) = a b + a c and (a + b) c = a c + b c.

a + b = b + a and a b = b a. (a + b) + c = a + (b + c) and (a b) c = a (b c). a (b + c) = a b + a c and (a + b) c = a c + b c. Properties of the Integers The set of all integers is the set and the subset of Z given by Z = {, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, }, N = {0, 1, 2, 3, 4, }, is the set of nonnegative integers (also called

More information

Properties of the Integers

Properties of the Integers Properties of the Integers The set of all integers is the set and the subset of Z given by Z = {, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, }, N = {0, 1, 2, 3, 4, }, is the set of nonnegative integers (also called

More information

Generating p-extremal graphs

Generating p-extremal graphs Generating p-extremal graphs Derrick Stolee Department of Mathematics Department of Computer Science University of Nebraska Lincoln s-dstolee1@math.unl.edu August 2, 2011 Abstract Let f(n, p be the maximum

More information

The cycle polynomial of a permutation group

The cycle polynomial of a permutation group The cycle polynomial of a permutation group Peter J. Cameron School of Mathematics and Statistics University of St Andrews North Haugh St Andrews, Fife, U.K. pjc0@st-andrews.ac.uk Jason Semeraro Department

More information

On Arithmetic Properties of Bell Numbers, Delannoy Numbers and Schröder Numbers

On Arithmetic Properties of Bell Numbers, Delannoy Numbers and Schröder Numbers A tal given at the Institute of Mathematics, Academia Sinica (Taiwan (Taipei; July 6, 2011 On Arithmetic Properties of Bell Numbers, Delannoy Numbers and Schröder Numbers Zhi-Wei Sun Nanjing University

More information

4 CONNECTED PROJECTIVE-PLANAR GRAPHS ARE HAMILTONIAN. Robin Thomas* Xingxing Yu**

4 CONNECTED PROJECTIVE-PLANAR GRAPHS ARE HAMILTONIAN. Robin Thomas* Xingxing Yu** 4 CONNECTED PROJECTIVE-PLANAR GRAPHS ARE HAMILTONIAN Robin Thomas* Xingxing Yu** School of Mathematics Georgia Institute of Technology Atlanta, Georgia 30332, USA May 1991, revised 23 October 1993. Published

More information