Spanning Trees of Shifted Simplicial Complexes

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Art Duval (University of Texas at El Paso) Caroline Klivans (Brown University) Jeremy Martin (University of Kansas) Special Session on Extremal and Probabilistic Combinatorics University of Nebraska, Lincoln October 16, 2011

The Laplacian of a Graph G: undirected, loopless, connected graph on vertices {1,..., n} deg G (i) if i = j, l ij = # edges between i, j if i, j are adjacent, 0 otherwise L = [l ij ] = Laplacian matrix of G L is a real symmetric matrix with nonnegative eigenvalues L = MM tr, where M is the signed incidence matrix of G

The Matrix-Tree Theorem (Kirchhoff, 1847) Matrix-Tree Theorem, Version I: Let 0, λ 1, λ 2,..., λ n 1 be the eigenvalues of L. Then the number of spanning trees of G is τ(g) = λ 1λ 2 λ n 1. n Matrix-Tree Theorem, Version II: Form the reduced Laplacian L i by deleting the i th row and i th column of L. Then τ(g) = det L i.

Example: Threshold Graphs Theorem (Merris): If G is a threshold graph, then the eigenvalues of L are given by the transpose of the degree sequence (as a partition). 3 Eigenvalues: 5, 4, 2, 1 2 1 5 Vertex degrees: 4, 3, 2, 1, 1 4

Simplicial Complexes Definition A simplicial complex on vertex set V is a family of subsets of V ( faces ), such that 1. {v} for every v V ; 2. If F and G F, then G. dim F = F 1; dim = max{dim F 1-dimensional complex = simple graph F }.

Simplicial Complexes Facets: maximal faces (under inclusion) F 1,..., F s = complex with facets F 1,..., F s 1 2 11111 11111 11111 000 111 000 111 3 4 5 1 2 3 4 5 4 01 1100 000 111 000 111 0000 1111 2 0000 1111 11111 11111 1 11111 11111 01 11111 01 11111 3 11111 0000 1111 000 111 01 5 <123, 34, 35, 45> <12, 13, 23, <123, 124, 125, 134, 34, 35, 45> 135, 234, 235>

Simplicial Complexes Pure: all facets have equal dimension k-skeleton: (k) = {F dim F k} f-vector: f k ( ) = #{F dim F = k} 1 2 11111 11111 11111 000 111 000 111 3 4 5 1 2 3 4 5 4 01 1100 000 111 000 111 0000 1111 2 0000 1111 11111 11111 1 11111 11111 01 11111 01 11111 3 11111 0000 1111 000 111 01 5 not pure pure pure dim = 2 dim = 1 dim = 2 f( ) = (5,6,1) f( ) = (5,6) f( ) = (5,9,7)

Simplicial Spanning Trees Definition Let Υ be pure d-dimensional complexes. Υ is a simplicial spanning tree (SST) of if: 1. Υ (d 1) = (d 1) ( spanning ); 2. H d (Υ; Z) = 0 ( acyclic ); 3. H d 1 (Υ; Q) = 0 ( connected ); and 4. f d (Υ) = f d ( ) β d ( ) + β d 1 ( ) ( count ). Given (0), any two of (1), (2), (3) together imply the third. When d = 1, we recover the graph-theoretic definition.

Examples of SSTs Example If dim = 0, then SST( ) = {vertices of }. Example If is Q-acyclic, then SST( ) = { }. Includes complexes that are not Z-acyclic, such as RP 2. Example If is a simplicial sphere, then SST( ) = { \ {F } F a facet of }. Simplicial spheres are the analogues of cycle graphs.

Simplicial Spanning Trees Example: = bipyramid with equator. 2 4 00 11 5 01 00 11 000 111 000 111 0000 1111 0000 1111 11111 11111 11111 11111 01 11111 01 11111 11111 0000 1111 000 111 01 3 1 To construct an SST: Keep the entire 1-skeleton intact, and: either delete the equator (123) and any other triangle, or delete one northern triangle (124, 134, 234) and one southern triangle (125, 135, 235).

Kalai s Theorem Theorem [Kalai 1983] Let n,d be the d-skeleton of the n-vertex simplex: n,d = {F [n] dim F d}. Then, Υ SST( n,d ) H d 1 (Υ; Z) 2 = n ( n 2 d ). Idea: Calculate det(simplicial Laplacian) in two ways Reduces to Cayley s formula for n,1 = K n

The Simplicial Matrix-Tree Theorem = d-dim l complex with H i ( ; Q) = 0 for all i < d τ j ( ) = H j 1 (Υ; Z) 2 Υ SST( (j) ) Simplicial Matrix-Tree Theorem [D K M 07]: τ d ( ) = = (product of nonzero eigenvalues of L( )) / τ d 1 ( ) (determinant of reduced Laplacian L Γ ( )) where and are correction factors involving simplicial homology; both equal 1 in many cases of interest.

The Simplicial Matrix-Tree Theorem The summands H d 1 (Υ) 2 are usually 1 (and are always 1 in the graph case d = 1). When is a graph, we recover the classical Matrix-Tree Theorem. The reduced Laplacian L Γ ( ) is obtained by deleting rows and columns corresponding to some Γ SST (d 1) ( ). (When d = 1, Γ is a vertex!)

Weighted SST Enumeration By replacing the simplicial Laplacian (integer entries) with a weighted version (with monomial rather than integer entries), we can enumerate simplicial spanning trees more finely.

Example: The Equatorial Bipyramid 2 4 00 11 5 01 00 11 000 111 000 111 0000 1111 0000 1111 11111 11111 11111 11111 01 11111 01 11111 11111 0000 1111 000 111 01 3 1 Vertices: 1, 2, 3, 4, 5 Edges: All but 45 Facets: 123, 124, 134, 234, 125, 135, 235 f ( ) = (5, 9, 7) Equator : the facet 123

Weighted SST Enumeration in the Equatorial Bipyramid The full Laplacian L 12 13 14 15 23 24 25 34 35 12 3-1 -1-1 1 1 1 0 0 13-1 3-1 -1-1 0 0 1 1 14-1 -1 3 0 0-1 0-1 0 15-1 -1-1 2 0 0-1 0-1 23 1-1 0 0 3-1 -1 1 1 24 1 0-1 0-1 2 0-1 0 25 1 0 0-1 -1 0 2 0-1 34 0 1-1 0 1-1 0 2 0 35 0 1 0-1 1 0-1 0 2

Weighted SST Enumeration in the Equatorial Bipyramid The reduced Laplacian L Γ (delete a 1-dim spanning tree Γ) 12 13 14 15 23 24 25 34 35 12 3-1 -1-1 1 1 1 0 0 13-1 3-1 -1-1 0 0 1 1 14-1 -1 3 0 0-1 0-1 0 15-1 -1-1 2 0 0-1 0-1 23 1-1 0 0 3-1 -1 1 1 24 1 0-1 0-1 2 0-1 0 25 1 0 0-1 -1 0 2 0-1 34 0 1-1 0 1-1 0 2 0 35 0 1 0-1 1 0-1 0 2

Weighted SST Enumeration in the Equatorial Bipyramid The reduced weighted Laplacian ˆL Γ 23 24 25 34 35 23 x 123 + x 234 + x 235 x 234 x 235 x 234 x 235 24 x 234 x 124 + x 234 0 x 234 0 25 x 235 0 x 125 + x 235 0 x 235 34 x 234 x 234 0 x 134 + x 234 0 35 x 235 0 x 235 0 x 135 + x 235 where x abc = x 1,a x 2,b x 3,c.

Weighted SST Enumeration in the Equatorial Bipyramid c(r, v) = number of times vertex v occurs as the r th smallest vertex in a face of Υ ˆτ 2 ( ) = x 0 1,a x 0 2,b x 0 3,c Υ SST( ) F ={a<b<c} Υ = Υ SST( ) r,v x c(r,v) r,v = x 3 11 x 2 22 x 2 23 x 2 34 x 2 35 (x 11 x 22 + x 12 x 22 + x 12 x 23 ) (x 11 x 22 x 33 + x 12 x 22 x 33 + x 12 x 23 x 33 + x 12 x 23 x 34 + x 12 x 23 x 35 ). Erasing all the first subscripts enumerates SSTs by vertex-facet degree sequence.

Shifted Complexes Definition A simplicial complex on vertices [n] is shifted if whenever F, i F, j F, and j < i, then F \ {i} {j}. Example If is shifted and 235, then must also contain the faces 234, 135, 134, 125, 124, 123.

Shifted Complexes Introduced by Björner and Kalai (1988) to study f - and Betti numbers 1-dimensional shifted complexes = threshold graphs Laplacian eigenvalues = transpose of facet-vertex degree sequence (Duval Reiner Theorem, generalizing Merris Theorem for threshold graphs) Conjecture (Duval Reiner): For any complex, the Laplacian spectrum is majorized by the degree sequence, with equality iff the complex is shifted Graph case: Grone-Merris Conjecture, proven by Bai (2011)

The Componentwise Partial Order Define the componentwise partial order on (d + 1)-sets of positive integers A = {a 1 < a 2 < < a d+1 }, B = {b 1 < b 2 < < b d+1 } by A B a i b i for all i. The set of facets of a shifted complex is a lower order ideal with respect to.

The Componentwise Partial Order 146 236 245 136 145 235 126 135 234 125 134 124 123

The Componentwise Partial Order 146 236 245 136 145 235 126 135 234 125 134 124 123

The Combinatorial Fine Weighting Let d be a shifted complex on vertices [n]. For each facet A = {a 1 < a 2 < < a d+1 }, define x A = d+1 i=1 x i,ai. Example If Υ = 123, 124, 134, 135, 235 is a simplicial spanning tree of, its contribution to ˆτ 2 is x 4 1,1x 1,2 x 2 2,2x 3 2,3x 3,3 x 2 3,4x 2 3,5.

The Algebraic Fine Weighting For faces A B with dim A = i 1, dim B = i, define X AB = d i x B d i+1 x A where x i,j = x i+1, j. Weighted boundary maps satisfy = 0. Laplacian eigenvalues are the same as those for the combinatorial fine weighting, except for denominators.

Critical Pairs Definition A critical pair of a shifted complex d is an ordered pair (A, B) of (d + 1)-sets of integers, where A and B ; and B covers A in componentwise order.

Critical Pairs 146 236 245 136 145 235 126 135 234 125 134 124 123

Critical Pairs 146 236 245 136 145 235 126 135 234 125 134 124 123

Critical Pairs 146 236 245 136 145 235 126 135 234 125 134 124 123

The Signature of a Critical Pair Let (A, B) be a critical pair of a complex : A = {a 1 < a 2 < < a i < < a d+1 }, B = A \ {a i } {a i + 1}. Definition The signature of (A, B) is the ordered pair ( {a1, a 2,..., a i 1 }, a i ).

Finely Weighted Laplacian Eigenvalues Theorem [Duval Klivans JLM 2007] Let d be a shifted complex. Then the finely weighted Laplacian eigenvalues of are specified completely by the signatures of critical pairs of. signature (S, a) = eigenvalue 1 X S a j=1 X S j

Examples of Finely Weighted Eigenvalues Critical pair (135,145); signature (1,3): X 11 X 21 + X 11 X 22 + X 11 X 23 X 21 Critical pair (235,236); signature (23,5): X 11 X 22 X 33 + X 12 X 22 X 33 + X 12 X 23 X 33 + X 12 X 23 X 34 + X 12 X 23 X 35 X 22 X 33

Sketch of Proof Calculate eigenvalues of in terms of eigenvalues of the deletion and link: del 1 = {F 1 F }, link 1 = {F 1 F, F {1} }. If is shifted, then so are del 1 and link 1.

Sketch of Proof Calculate eigenvalues of in terms of eigenvalues of the deletion and link: del 1 = {F 1 F }, link 1 = {F 1 F, F {1} }. If is shifted, then so are del 1 and link 1. Establish a recurrence for critical pairs of in terms of those of del 1 and link 1

Sketch of Proof Calculate eigenvalues of in terms of eigenvalues of the deletion and link: del 1 = {F 1 F }, link 1 = {F 1 F, F {1} }. If is shifted, then so are del 1 and link 1. Establish a recurrence for critical pairs of in terms of those of del 1 and link 1 Here see ye two recurrences, and lo! they are the same.

Consequences of the Main Theorem Passing to the unweighted version (by setting x i,j = 1 for all i, j) recovers the Duval Reiner theorem. Special case d = 1: recovers known weighted spanning tree enumerators for threshold graphs (Remmel Williamson 2002; JLM Reiner 2003). A shifted complex is determined by its set of signatures, so we can hear the shape of a shifted complex from its Laplacian spectrum.

Thank you!

Ferrers Graphs A Ferrers graph is a bipartite graph whose vertices correspond to the rows and columns of a Ferrers diagram. 1 1 2 3 4 5 w 1 2 3 w 5

Ferrers Graphs A Ferrers graph is a bipartite graph whose vertices correspond to the rows and columns of a Ferrers diagram. 1 2 3 1 2 3 4 5 w 1 w 5

Ferrers Graphs A Ferrers graph is a bipartite graph whose vertices correspond to the rows and columns of a Ferrers diagram. 1 2 3 1 2 3 4 5 v 1 v 2 v 3 w 1 w 2 w 3 w 4 w 5

Ferrers Graphs A Ferrers graph is a bipartite graph whose vertices correspond to the rows and columns of a Ferrers diagram. 1 2 3 1 2 3 4 5 v 1 v 2 v 3 w 1 w 2 w 3 w 4 w 5

Ferrers Graphs A Ferrers graph is a bipartite graph whose vertices correspond to the rows and columns of a Ferrers diagram. 1 2 3 1 2 3 4 5 v 1 v 2 v 3 w 1 w 2 w 3 w 4 w 5

Ferrers Graphs Ferrers graphs are bipartite analogues of threshold graphs. Degree-weighted spanning tree enumerator for Ferrers graphs: Ehrenborg and van Willigenburg (2004) Formula can also be derived from our finely weighted spanning tree enumerator for a threshold graph Higher-dimensional analogues?

Color-Shifted Complexes Let be a complex on V = i V i, where V 1 = {v 11,..., v 1r1 },..., V n = {v n1,..., v nrn }. are disjoint vertex sets ( color classes ). Definition is color-shifted if no face contains more than one vertex of the same color; and if {v 1b1,..., v nbn } and a i b i for all i, then {v 1a1,..., v nan }.

Color-Shifted Complexes Color-shifted complexes generalize Ferrers graphs (Ehrenborg van Willigenburg) and complete colorful complexes (Adin) Not in general Laplacian integral...... but they do seem to have nice degree-weighted spanning tree enumerators.

Matroid Complexes Definition A pure simplicial complex is a matroid complex if whenever F, G are facets and i F \ G, there is a vertex j G \ F such that F \ {i} {j} is a facet. (Matroid complexes are maximally egalitarian ; shifted complexes are maximally hierarchical.) Eigenvalues are integers (Kook Reiner Stanton 1999), but are harder to describe combinatorially Experimentally, degree-weighted spanning tree enumerators seem to have nice factorizations.