Bigraphical arrangements

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Bigraphical arrangements FPSAC 14, Chicago Sam Hopkins and David Perkinson MIT and Reed College July 2nd, 2014 Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 1 / 26

History The Shi arrangement Jian Yi Shi in his 1986 study of the Kazhdan-Lusztig cells of the affine Weyl group Ãn 1 defined (what is now called) the Shi arrangement: SHI(n) := {x i x j = 0, 1: 1 i < j n}. Shi showed that the number of regions is r(shi(n)) = (n + 1) n 1. x 1 x 3 = 1 x 3 x 1 = 0 x 1 x 2 = 1 x 2 x 1 = 0 x 3 x 2 = 0 x 2 x 3 = 1 Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 2 / 26

History Stanley s problem From Cayley, we know that (n + 1) n 1 counts the number of spanning trees of the (labeled) complete graph K n+1. Problem (Stanley) Find a bijection between regions of SHI(n) and spanning trees of K n+1. Circa 1994, Pak came up with such a bijection using parking functions (for which many bijections with spanning trees exist). Stanley proved that this bijection works, and the procedure has come to be called the Pak-Stanley labeling of the Shi arrangement. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 3 / 26

History Parking functions Definition A parking function of length n is a sequence (a 1,..., a n ) N n of nonnegative integers such that its weakly increasing rearrangement a i1 a i2 a in satisfies (a i1,..., a in ) (0, 1,..., n 1). The name parking function comes from a certain amusing description due to Knuth, that unfortunately I m going to skip, in terms of cars trying to park on a one-way street. Example The parking functions of length 3 are (0, 0, 0), (0, 0, 1), (0, 1, 0), (1, 0, 0), (0, 1, 1), (1, 0, 1), (1, 1, 0), (0, 0, 2) (0, 2, 0), (2, 0, 0, ), (0, 1, 2), (0, 2, 1), (1, 0, 2), (1, 2, 0), (2, 0, 1), (2, 1, 0) Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 4 / 26

History The Pak-Stanley labeling x 3 x 1 = 0 x 1 x 2 = 1 102 x 1 x 3 = 1 x 2 x 1 = 0 101 002 201 012 001 x 3 x 2 = 0 200 000 100 010 x 2 x 3 = 1 210 110 020 021 120 Pak-Stanley labeling: start by labeling central region (0 < x i x j < 1) with (0, 0,..., 0). Inductively label adjacent regions: cross a hyperplane of the form x i x j = 0 increase jth coordinate; cross a hyperplane of the form x i x j = 1 increase ith coordinate. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 5 / 26 011

History Graphical parking functions G = (V, E) is a (finite, simple, connected) graph with V = {,..., v n }. Designate to be the special sink vertex. Set Ṽ := V \ {}. Definition A G-parking function with respect to is c = n i=1 c iv i ZṼ such that for all U Ṽ, there exists some v i U such that 0 c i < d U (v i ); where for u U we define Example d U (u) := {{u, v} E : v V \ U}. v 1 v 2 v 3 0 2 0 0 2 1 G Then is a G-pf but is not. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 6 / 26

History The G-Shi arrangement Now G = (V, E) is a (finite, simple) graph with V = {v 1,..., v n }. In 2011, Duval-Klivans-Martin, motivated by their ongoing work extending sandpile theory to higher dimension, defined the G-Shi arrangment SHI(G) := {x i x j = 0, 1: {v i, v j } E with i < j}. Example Let G be v 1 v 2 v 3. Then SHI(G) is x 3 x 2 = 0 x 1 x 2 = 1 x 2 x 1 = 0 x 2 x 3 = 1 Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 7 / 26

History Duval-Klivans-Martin s probelm 1 0 1 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 2 0 Let G denote the graph G with an extra vertex connected by an edge to each vertex in G. We always take to be the sink of G. Problem (DKM) Show that {Pak-Stanley labels of SHI(G)} = {parking functions of G }. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 8 / 26

Partial orientations Labeling G-SHI regions with partial orientations 1 0 1 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 2 0 A partial orientation O of G is where we orient some edges of G and leave others blank. We identify O with its set of oriented edges; i.e. O V 2. Partial orientations label the regions of SHI(G) in an natural way shown above. The map O indeg(o) recovers Pak-Stanley labels. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 9 / 26

Partial orientations SHI-admissible partial orientations When does a partial orientation appear as the label of a region of SHI(G)? Definition A potential cycle C of O is an oriented cycle of G such that if (v i, v j ) C then (v j, v i ) / O: that is, we can only walk along blank edges, or oriented edges in the right way. We give C a score ν SHI (C): ν SHI (C) := #{(v i, v j ) C, i < j : {v i, v j } is blank in O} #{(v j, v i ) C, i < j : (v j, v i ) is oriented in O}. We say O is SHI-admissible if O appears as a label of a region of SHI(G). Theorem Ois SHI-admissible iff every potential cycle of O has positive score. Pf: Farkas lemma. Note: this forces O to be acyclic. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 10 / 26

Partial orientations SHI-admissible partial orientation example v 2 v 1 v 3 v 4 is not SHI-admissible because there is the potential cycle C = {(v 1, v 2 ), (v 2, v 3 ), (v 3, v 4 ), (v 4, v 1 )} and ν SHI (C) = #{(v 3, v 4 )} #{(v 4, v 1 )} = 0. Indeed, the oriented edge (v 1, v 2 ) gives x 1 < x 2, the oriented edge (v 2, v 3 ) gives x 2 < x 3, the blank edge {v 3, v 4 } gives x 3 < x 4 + 1, and the oriented edge (v 4, v 1 ) gives x 4 + 1 < x 1. Summing these inequalities leads to a contradiction. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 11 / 26

Partial orientations Acyclic (total) orientations and maximal parking functions There is one class of partial orientations which is easy to see are always SHI-admissible: the acyclic (total) orientations, since they cannot have any potential cycles. It is known (Benson, Chakrabarty, Tetali) that acyclic orientations are mapped bijectively by indeg to the set of maximal parking functions of G (those G -pf that are maximal among G -pf with the usual partial order on ZV ). The inverse of this map can be described using Dhar s algorithm, which I will discuss on the next slide. Remark For any SHI-admissible partial orientation O, we can find a total orientation O with O O. This means indeg(o) indeg(o ). It is easy to see that if c is a G -pf and 0 c c, then c is as well. So indeg(o) is a G -pf. The hard part is to show that all G -pfs are labels of SHI(G). Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 12 / 26

Partial orientations Dhar s algorithm and acyclic (total) orientations v 1 v 2 v 3 O indeg(o) 1 0 1 1 1 1 0 dualize fire v0 c c max c 2 2 1 fire v 1 1 1 0 fire v 3 1 0 2 fire v 2 0 3 1 Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 13 / 26

Partial orientations The G-semiorder arrangement 102 201 210 200 101 002 001 100 001 000 100 010 010 110 020 120 011 012 021 We defined the G-semiorder arrangement to be the set of 2 E hyperplanes SEMI(G) := {x i x j = 1: {v i, v j } E}. It is more symmetric than SHI(G): for instance, it doesn t depend on the labeling of the vertices. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 14 / 26

Partial orientations SEMI-admissible partial orientations Definition Say O is SEMI-admissible if it appears as a label of SEMI(G). SEMI-admissible partial orientations have a much simpler description than do SHI-admissible partial orientations! Theorem O is SEMI-admissible iff every potential cycle of O has more blank edges than oriented edges. We show how to extend the Dhar s algorithm map from maximal G -pfs to acyclic total orientations of G to a map from arbitrary G -pfs to partial orientations of G, and it turns out that the image of this map lies inside the set of SEMI-admissible orientations (precisely because of this more blanks than arrows condition). Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 15 / 26

Partial orientations Dhar s algorithm and SEMI-admissible partial orientations 0 0 1 dualize c c max c 1 2 0 fire 2 3 1 1 2 0 fire v 3 1 1 2 O indeg(o) 1 0 0 1 fire v 2 fire v 1 0 4 1 v 2 was already unstable, so we mark {v 1, v 2} blank! Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 16 / 26

Partial orientations DKM is true for the G-semiorder arrangement Recall that it was easy to show the set of Pak-Stanley labels of our arrangement must be a subset of the G -parking functions. On the other hand, our Dhar s algorithm procedure shows that for any G -parking function c, we can produce a SEMI-admissible O with indeg(o) = c. Thus, Theorem {Pak-Stanley labels of SEMI(G)} = {parking functions of G }. By making the problem more symmetric, we were able to solve it. But we really cared about G-Shi arrangement, not the G-semiorder arrangement! So we started playing around with what happens when we deform the G-semiorder arrangement into the G-Shi arrangement by translating the hyperplanes along their normals. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 17 / 26

Partial orientations The sliding conjecture 102 102 201 210 200 101 002 001 100 001 000 100 010 010 110 020 120 011 012 021 101 002 201 012 001 200 000 011 100 010 210 110 120 020 021 Conjecture As hyperplanes in SEMI(G) are slid along their normals, so long as the central region is preserved, the set of Pak-Stanley labels stays the same. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 18 / 26

Bigraphical arrangement Bigraphical arrangement Definition For each {v i, v j } E, choose real numbers a ij and a ji so that there exists a x R n with x i x j < a ij and x j x i < a ji for all i, j. We call A := {a ij } a parameter list. The bigraphical arrangement Σ G (A) is the set of 2 E hyperplanes Σ G (A) := {x i x j = a ij : {v i, v j } E}. Note: any Σ G (A) is isometric by a translation to a Σ G (A ) with all a ij > 0. Examples of bigraphical arrangments include: the G-Shi arrangement (and thus Shi arrangement for G = K n ); the G-semiorder arrangement; interval order arrangements. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 19 / 26

Bigraphical arrangement A-admissible partial orientations Definition For any partial orientation O and potential cycle C of O, we give C a score ν A (C): ν A (C) := (v i,v j ) C blank in O a ij (v i,v j ) C oriented in O We say O is A-admissible if it appears as the label of some region of Σ G (A). a ji. Theorem O is A-admissible iff every potential cycle of O has positive score. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 20 / 26

Bigraphical arrangement The sliding conjecture is true (so DKM is true) Theorem For any A and G -parking function c, there exists an A-admissible partial orientation O with indeg(o) = c. Corollary For any parameter list A, {Pak-Stanley labels of Σ G (A)} = {parking functions of G }. But we don t use anything like sliding to prove this! Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 21 / 26

Bigraphical arrangement Proof of sliding conjecture Pf: Inductive, but not really constructive. Rely on this topological lemma. Lemma Let O be an A-admissible partial orientation and let U V. Let E U denote the edges between U and V \ U. Suppose U satisfies: every edge in E U is either oriented out of U or is blank; there is some blank edge in E U. Then there is a blank edge {u, v} E U with u U such that O (u, v) remains A-admissible. U V \ U U V \ U Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 22 / 26

Bigraphical arrangement Enumerative properties of bigraphical arrangements Theorem The characteristic polynomial of a generic bigraphical arrangement is χ(σ G (GEN); t) = ( 2) n κ t κ T G (1 t/2, 1). Pf: Straightforward. See Stanley s notes on hyperplane arrangements. Corollary The number of regions and number of bounded regions of a generic bigraphical arrangement are Pf: Zaslavsky s theorem. r(σ G (GEN)) = 2 n κ T G (3/2, 1) b(σ G (GEN)) = 2 n κ T G (1/2, 1) Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 23 / 26

Bigraphical arrangement A joke Corollary Suppose G is planar and G is its dual graph. Then the following two probabilities are equal: the probability that a random partial orientation (meaning we orient each edge {u, v} E as (u, v), (v, u) or blank with prob. 1/3) of G is GEN-admissible; the probability that, after removing each edge from G with prob. 2/3, the resulting graph is connected. Pf: follows from various interpretations of the Tutte polynomial. Would love to have a direct (multijective?) proof of this result! Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 24 / 26

Further directions Further directions The maximum of r(σ G (A)) over all A is 2 n κ T G (3/2, 1). It is achieved exactly when A is generic. What is the minimum of r(σ G (A)) over all A? When is it achieved? Can we generalize bigraphical arrangements to higher dimensions (i.e., simplicial complices)? This was originally DKM s motivation. Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 25 / 26

End Thank you! visit arxiv.org for our papers and mit.edu/shopkins for these slides Sam Hopkins and David Perkinson (2014) Bigraphical arrangements July 2nd, 2014 26 / 26