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Chow Rings of Matroids University of Minnesota-Twin Cities REU - - PowerPoint PPT Presentation

Chow Rings of Matroids University of Minnesota-Twin Cities REU Thomas Hameister, Sujit Rao, Connor Simpson August 2, 2017 Outline 1 Preliminaries 2 Methods for calculating Hilbert series 3 Uniform matroids and M r ( F n q ) 4 Future work and


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Chow Rings of Matroids

University of Minnesota-Twin Cities REU Thomas Hameister, Sujit Rao, Connor Simpson August 2, 2017

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Outline

1 Preliminaries 2 Methods for calculating Hilbert series 3 Uniform matroids and Mr(Fn

q)

4 Future work and other lattices

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Motivation

The Chow ring of a ranked atomic lattice L is a graded ring denoted A(L). The proof of the Heron-Rota-Welsh conjecture by Adiprasito-Huh-Katz uses properties of A(L) when L is the lattice of flats of a matroid M. We are interested in combinatorial information about the lattice L or the matroid M which can be determined from A(L). Example L(Un,r) = {A ⊆ [n] with #A ≤ r − 1} L(Mr(Fn

q)) = {A ≤ Fn q with dim A ≤ r − 1}

L(M(Kn)) = {partitions of [n]}

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Definitions

Definition (Feichtner-Yuzvinsky 2004) Let L be a ranked lattice with atoms a1, . . . , ak. The Chow ring of L is A(L) = Z[{xp : p ∈ L, p = ⊥}]/(I + J) where I = (xpxq : p and q are incomparable) J =

 

q≥ai

xq : 1 ≤ i ≤ k

  .

Theorem (Adiprasito-Huh-Katz 2015) The Heron-Rota-Welsh conjecture is true.

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Incidence algebra

Theorem (Feichtner-Yuzvinsky 2004) H(A(L), t) = 1 +

  • ⊥=x0<x1<···<xm

m

  • i=1

t − trk xi−rk xi−1−1 1 − t Proposition If η, γ ∈ (Q(t))[L] are given by η(x, y) =

rk y−rk x−1

  • i=1

ti and γ = (1 − η)−1ζ, then H(A([x, y]), t) = γ(x, y). Proposition γL×K = (1 − t(1 − γL) ⊗ (1 − γK))−1(γL ⊗ γK).

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Differential operators and derivations

Motivation: What is H(A(L × B1), t)?

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Differential operators and derivations

Motivation: What is H(A(L × B1), t)? Observation: the FY formula for L × B1 is Leibniz rule-like.

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Differential operators and derivations

Motivation: What is H(A(L × B1), t)? Observation: the FY formula for L × B1 is Leibniz rule-like. Define new multiplicands; use them to get H(A(L), t, s)

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Differential operators and derivations

Motivation: What is H(A(L × B1), t)? Observation: the FY formula for L × B1 is Leibniz rule-like. Define new multiplicands; use them to get H(A(L), t, s) H(A(L), t, 0) = H(A(L), t)

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Differential operators and derivations

Motivation: What is H(A(L × B1), t)? Observation: the FY formula for L × B1 is Leibniz rule-like. Define new multiplicands; use them to get H(A(L), t, s) H(A(L), t, 0) = H(A(L), t) Proposition H(A(L × B1), t, s) = (1 + ∂s)H(A(L), t, s)

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Applications of AHK results

Motivation: Many families of lattices such that if L is in the family, then [z, ⊤] is in the family too for all z ∈ L.

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Applications of AHK results

Motivation: Many families of lattices such that if L is in the family, then [z, ⊤] is in the family too for all z ∈ L. AHK gives isomorphisms relating Chow rings of these intervals to the Chow ring of the whole

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Applications of AHK results

Motivation: Many families of lattices such that if L is in the family, then [z, ⊤] is in the family too for all z ∈ L. AHK gives isomorphisms relating Chow rings of these intervals to the Chow ring of the whole Theorem Let L be a “nicely ranked” atomic lattice with rk L = r + 1 and rk(z) = rk(z′) = ⇒ [z, ⊤] ∼ = [z′, ⊤]. Let z2, . . . , zr−1 ∈ L with rk(zi) = i. Then dimZ Aq(L) = 1 +

r

  • i=2

#Li

i−1

  • p=1

dimZ Aq−p([zi, ⊤])

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Applications of AHK results

Motivation: Many families of lattices such that if L is in the family, then [z, ⊤] is in the family too for all z ∈ L. AHK gives isomorphisms relating Chow rings of these intervals to the Chow ring of the whole Theorem (A better one!) Let L be a “nicely ranked” atomic lattice with rk L = r + 1 and rk(z) = rk(z′) = ⇒ [z, ⊤] ∼ = [z′, ⊤]. Let z2, . . . , zr−1 ∈ L with rk(zi) = i. Then H(A(L), t) = [r + 1]t + t

r

  • i=2

#Li[i − 1]tH([zi, ⊤], t)

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Applications of AHK results: examples

Uniform: H(Un,r+1, t) = [r + 1]t + t

r

  • i=2
  • n

i

  • [i − 1]t H(Un−i,r+1−i, t).
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Applications of AHK results: examples

Uniform: H(Un,r+1, t) = [r + 1]t + t

r

  • i=2
  • n

i

  • [i − 1]t H(Un−i,r+1−i, t).

Subspaces: H

  • A

Mr+1(Fn

q)

, t

  • = [r+1]t+t

r

  • i=2

[i−1]t

  • n

i

  • q

H

  • A

Mr+1−i(Fn

q)

, t

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Uniform matroids

Recall Un,r has lattice of flats the truncation of the boolean lattice at rank r.

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Uniform matroids

Recall Un,r has lattice of flats the truncation of the boolean lattice at rank r. Some invariants of interest for A(Un,r) have combinatorial meaning.

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Uniform matroids

Recall Un,r has lattice of flats the truncation of the boolean lattice at rank r. Some invariants of interest for A(Un,r) have combinatorial meaning. Theorem The Hilbert series of Un,n is the Eulerian polynomial H

A(Un,n), t =

  • σ∈Sn

texc(σ).

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Uniform matroids

For r < n, there are surjective maps πn,r : A(Un,r+1) → A(Un,r).

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Uniform matroids

For r < n, there are surjective maps πn,r : A(Un,r+1) → A(Un,r). Theorem For En,k := {σ ∈ Sn : #fix(σ) ≥ k}, the Hilbert series of Kn,r = ker(πn,r) is H(Kn,r, t) =

  • σ∈En,n−r

tr−exc(σ)

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Uniform matroids

For r < n, there are surjective maps πn,r : A(Un,r+1) → A(Un,r). Theorem For En,k := {σ ∈ Sn : #fix(σ) ≥ k}, the Hilbert series of Kn,r = ker(πn,r) is H(Kn,r, t) =

  • σ∈En,n−r

tr−exc(σ) Can be used to characterize Hilbert series for H(A(Un,r), t) for all r.

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Uniform matroids

The Charney-Davis quantity of a graded ring R supported in finitely many degrees is H(R, −1).

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Uniform matroids

The Charney-Davis quantity of a graded ring R supported in finitely many degrees is H(R, −1). Theorem For odd r, the Charney-Davis quantity for the uniform matroid, Un,r, of rank r and dimension n is

r−1 2

  • k=0
  • n

2k

  • E2k

where E2ℓ is the ℓ-th secant number, i.e. sech(t) =

  • ℓ≥0

E2ℓ t2ℓ (2ℓ)!

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q-analogs of uniform matroids: Mr(Fn

q)

The lattice of flats of Mr(Fn

q) is the lattice of dimension ≤ r

subspaces in Fn

q.

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q-analogs of uniform matroids: Mr(Fn

q)

The lattice of flats of Mr(Fn

q) is the lattice of dimension ≤ r

subspaces in Fn

q.

Have q-analogues of each piece of data for uniform matroid.

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q-analogs of uniform matroids: Mr(Fn

q)

The lattice of flats of Mr(Fn

q) is the lattice of dimension ≤ r

subspaces in Fn

q.

Have q-analogues of each piece of data for uniform matroid. Theorem The Hilbert series of M(Fn

q) is

H

A(M(Fn

q)), t

=

  • σ∈Sn

qmaj(σ)−exc(σ)texc(σ).

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q-analogs of uniform matroids: Mr(Fn

q)

There are again surjective maps πn,r : A(Mr+1(Fn

q)) → A(Mr(Fn q)).

Theorem The Hilbert series of Kn,r = ker(πn,r) is H

A(Mr(Fn

q)), t

=

  • σ∈En,n−r

qmaj(σ)−exc(σ)tr−exc(σ).

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q-analogs of uniform matroids: Mr(Fn

q)

Let coshq(t) =

  • n≥0

t2n [2n]q! and sechq(t) = 1/ coshq(t). Theorem For odd r, the Charney Davis quantity of A(Mr(Fn

q)) is

r−1 2

  • k=0
  • n

2k

  • E2k,q

where E2ℓ,q satisfies sechq(t) =

  • ℓ≥0

E2ℓ,q t2ℓ [2ℓ]q!

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Beyond matroids

Question: Why look at only matroids? Is the Chow ring still nice for more general lattices?

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Beyond matroids

Question: Why look at only matroids? Is the Chow ring still nice for more general lattices? If L is an atomic lattice with atoms E, let d(x, y) := min

  #S : S ⊆ E, x ∨

  • s∈S

s = y

  

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Beyond matroids

Question: Why look at only matroids? Is the Chow ring still nice for more general lattices? If L is an atomic lattice with atoms E, let d(x, y) := min

  #S : S ⊆ E, x ∨

  • s∈S

s = y

  

If d(x, y) = rk(y) − rk(x), then we get Poincar´ e duality.

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Beyond matroids

Question: Why look at only matroids? Is the Chow ring still nice for more general lattices? If L is an atomic lattice with atoms E, let d(x, y) := min

  #S : S ⊆ E, x ∨

  • s∈S

s = y

  

If d(x, y) = rk(y) − rk(x), then we get Poincar´ e duality. Can also generalize some early lemmas needed for hard Leftschetz, etc.

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Experimental results

Experimentally, the following have symmetric Hilbert series: Polytope face lattices Simplicial complexes Convex closure lattices Various manual examples

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Experimental results

Experimentally, the following have symmetric Hilbert series: Polytope face lattices Simplicial complexes Convex closure lattices Various manual examples Conjecture All Chow rings of ranked atomic lattices exhibit Poincar´ e duality.

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Experimental results

Experimentally, the following have symmetric Hilbert series: Polytope face lattices Simplicial complexes Convex closure lattices Various manual examples Conjecture All Chow rings of ranked atomic lattices exhibit Poincar´ e duality. Suggestions for strange families of ranked atomic lattices welcome.

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Geometry?

Experimentally, f -polynomial determines the Hilbert series of the Chow ring of a face lattice

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Geometry?

Experimentally, f -polynomial determines the Hilbert series of the Chow ring of a face lattice H(A(Un,n), t) is the h-polynomial of ∆(Bn).

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Geometry?

Experimentally, f -polynomial determines the Hilbert series of the Chow ring of a face lattice H(A(Un,n), t) is the h-polynomial of ∆(Bn). Conjecture h

  • ∆(L(Un,r)), t
  • = t2

r

  • i=1
  • n − i − 1

r − i

  • H(A(Un,i), t)
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Further further work

In what generality do AHK’s results hold? Investigate Koszulity. No obstructions yet. Eigenvalues, normal forms of ample elements? More basic operations on matroids and lattices: what happens to the Chow ring?

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Thanks!

Thank you to Vic Reiner, Ben Strasser, Pasha Pylyavskyy, and all the other mentors and TAs for their advice and help, for good problems, and for a fun summer. Also thank you to all the other REU students for being nice. We are financially supported by NSF RTG grant DMS-1148634 and by NSF grant DMS-1351590.