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Tiling Shuffling Phenomenon Tri Lai University of Nebraska Lincoln - - PowerPoint PPT Presentation

Tiling Shuffling Phenomenon Tri Lai University of Nebraska Lincoln Lincoln, NE 68588 Dimers 2020 University of Michigan August 11, 2020 Tri Lai Tiling Shuffling Phenomenon MacMahons Theorem Theorem (MacMahon) a b c 1 q i + j


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SLIDE 1

Tiling Shuffling Phenomenon

Tri Lai

University of Nebraska – Lincoln Lincoln, NE 68588

Dimers 2020 University of Michigan August 11, 2020

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 2

MacMahon’s Theorem

Theorem (MacMahon) PPq(a, b, c) :=

  • π

qvol(π) =

a

  • i=1

b

  • j=1

c

  • t=1

1 − qi+j+t−1 1 − qi+j+t−2 , where the sum is taken over all plane partitions π fitting in an a × b × c box.

1 1 1 2 2 2 3 4 6

a b c a b c a b c a b c i j k O

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 3

MacMahon’s Theorem

Theorem (MacMahon 1900) The number of (lozenge) tilings of a centrally symmetric hexagon Hex(a, b, c) of sides a, b, c, a, b, c on the triangular lattice is PP(a, b, c) :=

a

  • i=1

b

  • j=1

c

  • t=1

i + j + t − 1 i + j + t − 2

1 1 1 2 2 2 3 4 6

a b c a b c a b c a b c i j k O

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 4

Punctured Hexagon: James Propp’s Problem

n n + 1 n n+1 n n + 1 n n + 1 n n+1 n n + 1

Open Problem (Propp 1997) Find an explicit formula for the number of tilings of a hexagon of sides n, n + 1, n, n + 1, n, n + 1 with the central unit triangle removed. This is Problem 2 on his list of 20 open problems in the field of enumeration of tilings.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 5

Ciucu–Eisenk¨

  • lbl–Krattenthaler–Zare’s cored hexagon

x y+m z x+m y z+m m

Ciucu–Eisenk¨

  • lbl–Krattenthaler–Zare (2001) generalized the above

results by extending the size of the hole. Unit triangle is replaced by a triangle of an abritrary side. The triangular hole is at the ‘center’ of the hexagon of sides a, b + m, c, a + m, c + m, b.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 6

Example

26 · 32 · 53 · 7 · 133 · 173 · 19

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 7

Example

25 · 7 · 112 · 133 · 173 · 19 · 71

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 8

Example

26 · 11 · 133 · 173 · 19 · 281

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 9

Example

The left tiling number: 25 · 3 · 73 · 113 · 134 · 17

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 10

Example

The left tiling number: 25 · 3 · 73 · 113 · 134 · 17 The right tiling number: 26 · 73 · 11 · 134 · 17 · 2683

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 11

Shuffling Phenomenon

The tiling number of punctured regions are not given by simple product formulas.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 12

Shuffling Phenomenon

The tiling number of punctured regions are not given by simple product formulas. A small modification (in the position, orientation, side-length, etc.)

  • f the region would lead to unpredictable change in the tiling

number.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 13

Shuffling Phenomenon

The tiling number of punctured regions are not given by simple product formulas. A small modification (in the position, orientation, side-length, etc.)

  • f the region would lead to unpredictable change in the tiling

number. However, in certain cases, our modifications change the tiling number by only a simple multiplicative factor.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 14

First Example: Doubly-dented hexagon

l l

(a) (b)

y + d y + d x+u x+d x+d x+u y + u y + d y + u y + d y + u y + u

Position set of upper holes U = {s1, s2, . . . , su} ⊂ [x + y + u + d] Position set of lower holes D = {t1, t2, . . . , td} ⊂ [x + y + u + d] Assume U ∩ D = ∅. Doubly-dented hexagon: Hx,y(U, D)

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 15

Shuffling the holes

l

(a) (b)

l y+d y+u y+d y+d x+d x+d x+u x+u y+u y+d y+u y+u

U = {s1, s2, . . . , su} → U′ = {s′

1, s′ 2, . . . , s′ u}

D = {t1, t2, . . . , td} → D′ = {t′

1, t′ 2, . . . , t′ d}

Hx,y(U, D) → Hx,y(U′, D′)

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 16

Shuffling the holes

l

(a) (b)

l y+d y+u y+d y+d x+d x+d x+u x+u y+u y+d y+u y+u

Tiling number of Hx,y(U, D) : 29 · 35 · 53 · 74 · 20107

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 17

Shuffling the holes

l

(a) (b)

l y+d y+u y+d y+d x+d x+d x+u x+u y+u y+d y+u y+u

Tiling number of Hx,y(U, D) : 29 · 35 · 53 · 74 · 20107 Tiling number of Hx,y(U′, D′) : 211 · 33 · 53 · 75 · 20107

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 18

Shuffling the holes

l

(a) (b)

l y+d y+u y+d y+d x+d x+d x+u x+u y+u y+d y+u y+u

Tiling number of Hx,y(U, D) : 29 · 35 · 53 · 74 · 20107 Tiling number of Hx,y(U′, D′) : 211 · 33 · 53 · 75 · 20107 The ratio of tilings: 2−2 · 32 · 7−1

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 19

Shuffling Theorem

l l

(a) (b)

y+d y+d x+u x+d x+d x+u y+u y+d y+u y+d y+u y+u

Theorem (Shuffling Theorem) For U = {s1, s2, . . . , su}, D = {t1, t2, . . . , td}, U′ = {s′

1, s′ 2, . . . , s′ u},

D′ = {t′

1, t′ 2, . . . , t′ d} of [x + y + n], such that U ∪ D = U′ ∪ D′ and

U ∩ D = U′ ∩ D′ = ∅ M(Hx,y(U, D)) M(Hx,y(U′, D′)) =

  • 1≤i<j≤u

sj − si s′

j − s′ i

·

  • 1≤i<j≤d

tj − ti t′

j − t′ i

(1)

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 20

q-Shuffling Theorem

A right lozenge is weighted by qt, where t is the distance to the base of the hexagon.

l x+d y + u y + u y + d y + d x+u

15 2 2 2 3 4 4 4 5 8 8 10 10 11 11 13 14 14 15 15 1 1 1 2 3 4 5 6 8 9 10 11 12 13 14

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 21

q-Shuffling Theorem

A right lozenge is weighted by qt, where t is the distance to the base of the hexagon. A tiling is weighted by the product of weights of all lozenges

l x+d y + u y + u y + d y + d x+u

15 2 2 2 3 4 4 4 5 8 8 10 10 11 11 13 14 14 15 15 1 1 1 2 3 4 5 6 8 9 10 11 12 13 14

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 22

q-Shuffling Theorem

A right lozenge is weighted by qt, where t is the distance to the base of the hexagon. A tiling is weighted by the product of weights of all lozenges Mq(R) is the sum of weights of all tilings of R

l x+d y + u y + u y + d y + d x+u

15 2 2 2 3 4 4 4 5 8 8 10 10 11 11 13 14 14 15 15 1 1 1 2 3 4 5 6 8 9 10 11 12 13 14

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 23

q-Shuffling Theorem

Theorem (L. –Rohatgi 2019) Mq(Hx,y(U, D)) Mq(Hx,y(U′, D′)) = qC ·

  • 1≤i<j≤u

qsj − qsi qs′

j − qs′ i ·

  • 1≤i<j≤d

qtj − qti qt′

j − qt′ i Tri Lai Tiling Shuffling Phenomenon

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SLIDE 24

Schur functions

Theorem (Shuffling Theorem) For U = {s1, s2, . . . , su}, D = {t1, t2, . . . , td}, U′ = {s′

1, s′ 2, . . . , s′ u},

D′ = {t′

1, t′ 2, . . . , t′ d} of [x + y + n], such that U ∪ D = U′ ∪ D′ and

U ∩ D = U′ ∩ D′ = ∅ M(Hx,y(U, D)) M(Hx,y(U′, D′)) =

  • 1≤i<j≤u

sj − si j − i ·

  • 1≤i<j≤d

tj − ti j − i

  • 1≤i<j≤u

s′

j − s′ i

j − i ·

  • 1≤i<j≤d

t′

j − t′ i

j − i All products can be expressed in terms of special Schur functions.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 25

Schur functions

Theorem (Shuffling Theorem) M(Hx,y(U, D)) M(Hx,y(U′, D′)) =

  • 1≤i<j≤u

sj − si j − i ·

  • 1≤i<j≤d

tj − ti j − i

  • 1≤i<j≤u

s′

j − s′ i

j − i ·

  • 1≤i<j≤d

t′

j − t′ i

j − i

  • 1≤i<j≤u

sj−si j−i = sλ(s1,...,su)(1, 1, . . . ), where

λ(s1, . . . , su) = (su − u + 1, su−1 − u + 2, . . . , s3 − 2, s2 − 1, s1)

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 26

Schur functions

Theorem (Shuffling Theorem) M(Hx,y(U, D)) M(Hx,y(U′, D′)) =

  • 1≤i<j≤u

sj − si j − i ·

  • 1≤i<j≤d

tj − ti j − i

  • 1≤i<j≤u

s′

j − s′ i

j − i ·

  • 1≤i<j≤d

t′

j − t′ i

j − i

  • 1≤i<j≤u

sj−si j−i = sλ(s1,...,su)(1, 1, . . . ), where

λ(s1, . . . , su) = (su − u + 1, su−1 − u + 2, . . . , s3 − 2, s2 − 1, s1) RHS =

sλ(U)(1,1,... )sλ(D)(1,1,... ) sλ(U′)(1,1,... )sλ(D′)(1,1,... )

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 27

Schur functions

l

(a) (b)

y+u y+d y+d x+u x+d x+u y+u y+u x+d y+d y+u y+d

M(Hx,y(U, D)) =

  • |S|=y

S⊆(U∪D)c M(Sx+d,y+u(U ∪ S))M(Sx+u,y+d(D ∪ S))

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 28

Schur functions

l

(a) (b)

y+u y+d y+d x+u x+d x+u y+u y+u x+d y+d y+u y+d

M(Hx,y(U, D)) =

  • |S|=y

S⊆(U∪D)c M(Sx+d,y+u(U ∪ S))M(Sx+u,y+d(D ∪ S))

(Cohn–Larsen –Propp) M(Sx+d,y+u(U ∪ S)) = sλ(U∪S)(1, 1, . . . )

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 29

Schur functions

l

(a) (b)

y+u y+d y+d x+u x+d x+u y+u y+u x+d y+d y+u y+d

M(Hx,y(U, D)) =

  • |S|=y

S⊆(U∪D)c M(Sx+d,y+u(U ∪ S))M(Sx+u,y+d(D ∪ S))

(Cohn–Larsen –Propp) M(Sx+d,y+u(U ∪ S)) = sλ(U∪S)(1, 1, . . . ) M(Sx+u,y+d(D ∪ S)) = sλ(D∪S)(1, 1, . . . )

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 30

Schur functions

l

(a) (b)

y+u y+d y+d x+u x+d x+u y+u y+u x+d y+d y+u y+d

M(Hx,y(U, D)) =

|S|=y S⊆(U∪D)c sλ(U∪S)(1, 1, . . . )sλ(D∪S)(1, 1, . . . )

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 31

Schur functions

l

(a) (b)

y+u y+d y+d x+u x+d x+u y+u y+u x+d y+d y+u y+d

M(Hx,y(U, D)) =

|S|=y S⊆(U∪D)c sλ(U∪S)(1, 1, . . . )sλ(D∪S)(1, 1, . . . )

LHS =

M(Hx,y(U,D)) M(Hx,y(U′,D′)) =

  • |S|=y

S⊆(U∪D)c sλ(U∪S)(1,1,... )sλ(D∪S)(1,1,... )

  • |S|=y

S⊆(U∪D)c sλ(U′∪S)(1,1,... )sλ(D′∪S)(1,1,... )

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 32

Schur functions

Theorem (Shuffling Theorem)

  • |S|=y

S⊆(U∪D)c sλ(U∪S)(1, 1, . . . )sλ(D∪S)(1, 1, . . . )

  • |S|=y

S⊆(U∪D)c sλ(U′∪S)(1, 1, . . . )sλ(D′∪S)(1, 1, . . . )

= sλ(U)(1, 1, . . . )sλ(D)(1, 1, . . . ) sλ(U′)(1, 1, . . . )sλ(D′)(1, 1, . . . )

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 33

Schur functions

Theorem (q-Shuffling Theorem)

  • |S|=y

S⊆(U∪D)c sλ(U∪S)(q, q2, . . . )sλ(D∪S)(q, q2, . . . )

  • |S|=y

S⊆(U∪D)c sλ(U′∪S)(q, q2, . . . )sλ(D′∪S)(q, q2, . . . )

= qC sλ(U)(q, q2, . . . )sλ(D)(q, q2, . . . ) sλ(U′)(q, q2, . . . )sλ(D′)(q, q2, . . . ) Question: Is there a Schur function identity behind this result?

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 34

Generalized Shuffling Theorem

l l

(a) (b)

y + u y + u y + d y + u y + d y + d y + d x+u x+d x+d x+u y + u

Upper position U = {s1, s2, . . . , su} ⊂ [x + y + n] Lower position D = {t1, t2, . . . , td} ⊂ [x + y + n] Position set of barriers B = {b1, b2, . . . , bk} Generalized doubly-dented hexagon: Hx,y(U, D, B) We now allow shuffling and flipping holes in U∆D.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 35

Generalized Shuffling Theorem

Theorem For U = {s1, s2, . . . , su}, D = {t1, t2, . . . , td}, U′ = {s′

1, s′ 2, . . . , s′ u′},

D′ = {t′

1, t′ 2, . . . , t′ d′} of [x + y + n], such that U ∪ D = U′ ∪ D′ and

U ∩ D = U′ ∩ D′ M(Hx,y(U, D, B)) M(Hx,y(U′, D′, B)) =

  • 1≤i<j≤u

sj − si j − i ·

  • 1≤i<j≤d

tj − ti j − i

  • 1≤i<j≤u′

s′

j − s′ i

j − i ·

  • 1≤i<j≤d′

t′

j − t′ i

j − i × PP(u, d, y) PP(u′, d′, y) PP(a, b, c) :=

a

  • i=1

b

  • j=1

c

  • k=1

i + j + k − 1 i + j + k − 2

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 36

Generalized q-Shuffling Theorem

Theorem Mq(Hx,y(U, D, B)) Mq(Hx,y(U′, D′, B)) =qD ·

  • 1≤i<j≤u

qsj − qsi qj − qi ·

  • 1≤i<j≤d

qtj − qti qj − qi

  • 1≤i<j≤u′

qs′

j − qs′ i

qj − qi ·

  • 1≤i<j≤d′

qt′

j − qt′ i

qj − qi × PPq(u, d, y) PPq(u′, d′, y) PPq(a, b, c) :=

a

  • i=1

b

  • j=1

c

  • k=1

1 − qi+j+k−1 1 − qi+j+k−2

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 37

Semi-hexagon with dents

x=5 m + n = 7 m + n = 7 x+m+n=12

(a) (b)

b

1

a2 a3 a4 b1 b2 a

3

Figure: The region Sx((ai)m

i=1; (bj)n j=1) = S5((2, 4, 6, 7); (3, 6, 7)) and a tiling of

its.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 38

Shuffling Phenomenon

Tiling number of S5((4, 6, 9, 10, 11, 12, 13); (4, 7, 10, 11, 12, 13)): 26 · 73 · 11 · 134 · 17 · 2683

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 39

Shuffling Phenomenon

Tiling number of S5((4, 6, 9, 10, 11, 12, 13); (4, 7, 10, 11, 12, 13)): 26 · 73 · 11 · 134 · 17 · 2683 Tiling number of S7((4, 6, 9, 10, 11, 12, 13); (4, 7, 10, 11, 12, 13)) is: 28 · 34 · 5 · 133 · 173 · 19 · 2683

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 40

Shuffling Phenomenon

Tiling number of S5((4, 6, 9, 10, 11, 12, 13); (4, 7, 10, 11, 12, 13)): 26 · 73 · 11 · 134 · 17 · 2683 Tiling number of S7((4, 6, 9, 10, 11, 12, 13); (4, 7, 10, 11, 12, 13)) is: 28 · 34 · 5 · 133 · 173 · 19 · 2683 The ratio of tiling numbers: 2−2 · 3−4 · 5−1 · 73 · 11 · 13 · 17−2 · 19−1

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 41

How to assign weight to tilings

(a) (b) j j i i

  • 7

1 2 2 5 5 6 7 8 8 9 9 10 10 11 12

  • 2
  • 3

6 3

  • 1
  • 6
  • 7

1

(A. Borodin–V. Gorin –E. Rains) w(n) = Xqn+Y q−n

2

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 42

Shuffling Theorem for symmetric tilings

Theorem (L. 2020) MX,Y ,q(Sx((ai)m

i=1; (bj)n j=1))

MX,Y ,q(Sy((ai)m

i=1; (bj)n j=1))

= q(y−x)(

m

i=1 ai+n j=1 bj− (m+n)(m+n+1) 2

) PPq2(y, m, n) PPq2(x, m, n) ×

m

  • i=1

(−q2(x+i); q2)ai−i (−q2(y+i); q2)ai−i

n

  • j=1

(−q2(x+j); q2)bj−j (−q2(y+j); q2)bj−j , where PPq(a, b, c) =

a

  • i=1

b

  • j=1

c

  • k=1

qi+j+k−1 − 1 qi+j+k−2 − 1 (x; q)n := (1 + x)(1 + xq)(1 + xq2) · · · (1 + xqn−1).

Tri Lai Tiling Shuffling Phenomenon

slide-43
SLIDE 43

How to assign weight to tilings

(a) (b) j j i i

  • 7

1 2 2 5 5 6 7 8 8 9 9 10 10 11 12

  • 2
  • 3

6 3

  • 1
  • 6
  • 7

1

w(n) = Xqn + Y q−n 2

Tri Lai Tiling Shuffling Phenomenon

slide-44
SLIDE 44

Shuffling Theorem for symmetric tilings

Theorem (L. 2020) MX,Y ,q(S′

x((ai)m i=1; (bj)n j=1))

MX,Y ,q(S′

y((ai)m i=1; (bj)n j=1))

= qC PPq2(y, m, n) PPq2(x, m, n)

n

  • j=1

y−x

  • i=1

(X 2 + q2(x+i−bj)XY ) ×

m

  • i=1

(−q2(x+i); q2)ai−i (−q2(y+i); q2)ai−i

n

  • j=1

(−q2(x+j); q2)bj−j (−q2(y+j); q2)bj−j . Daniel Condon independently proved the unweighted case (X = Y = q = 1).

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 45

Quartered Hexagon with Dents

x x+m 2 m

(a) (b)

x x+m 2 m

6 1

a2 a3 a4 a5 a6 a1 a2 a3 a4 a5 a a

Figure: The region Qx((ai)m

i=1) = Q4(2, 4, 7, 10, 11, 12) and a tiling of its.

Tri Lai Tiling Shuffling Phenomenon

slide-46
SLIDE 46

Second Shuffling Theorem

(a) (b)

x x+m 2 m x x+m 2 m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

w0(n) = qn + q−n 2 (X = Y = 1)

Tri Lai Tiling Shuffling Phenomenon

slide-47
SLIDE 47

Second Shuffling Theorem

Theorem (L. 2020) Mq(Qx((ai)m

i=1))

Mq(Qy((ai)m

i=1)) = q2(y−x)(m

i=1 ai−m2)

m

  • i=1

(−q2(2y+ai+1); q2)2i−ai−1 (−q2(2x+ai+1); q2)2i−ai−1

Tri Lai Tiling Shuffling Phenomenon

slide-48
SLIDE 48

Second Shuffling Theorem

(a) (b)

x x+m 2 m x x+m 2 m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

w0(n) = qn + q−n 2

Tri Lai Tiling Shuffling Phenomenon

slide-49
SLIDE 49

Second Shuffling Theorem

Theorem (L. 2020) Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)) = q2(y−x)(m

i=1 ai−m2)

m

  • i=1

(−q2(2y+ai); q2)2i−ai−1 (−q2(2x+ai); q2)2i−ai−1

Tri Lai Tiling Shuffling Phenomenon

slide-50
SLIDE 50

Comparing two formulas

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)) =

Mq(Qx−1/2((ai)m

i=1))

Mq(Qy−1/2((ai)m

i=1)) Tri Lai Tiling Shuffling Phenomenon

slide-51
SLIDE 51

Comparing two formulas

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)) =

Mq(Qx−1/2((ai)m

i=1))

Mq(Qy−1/2((ai)m

i=1))

But it is wrong!!!

Tri Lai Tiling Shuffling Phenomenon

slide-52
SLIDE 52

Comparing two formulas

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)) =

Mq(Qx−1/2((ai)m

i=1))

Mq(Qy−1/2((ai)m

i=1))

But it is wrong!!! Our regions are not defined when its side-lengths are half-integers.

Tri Lai Tiling Shuffling Phenomenon

slide-53
SLIDE 53

Reciprocity-like phenomenon

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Let fx,y((ai)m

i=1)) = Mq(Qx((ai)m

i=1))

Mq(Qy((ai)m

i=1)) and gx,y((ai)m

i=1)) = Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)). Tri Lai Tiling Shuffling Phenomenon

slide-54
SLIDE 54

Reciprocity-like phenomenon

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Let fx,y((ai)m

i=1)) = Mq(Qx((ai)m

i=1))

Mq(Qy((ai)m

i=1)) and gx,y((ai)m

i=1)) = Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)).

Then gx,y((ai)m

i=1)) = fx−1/2,y−1/2((ai)m i=1)).

Tri Lai Tiling Shuffling Phenomenon

slide-55
SLIDE 55

Reciprocity-like phenomenon

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Let fx,y((ai)m

i=1)) = Mq(Qx((ai)m

i=1))

Mq(Qy((ai)m

i=1)) and gx,y((ai)m

i=1)) = Mq(Q′

x((ai)m i=1))

Mq(Q′

y((ai)m i=1)).

Then gx,y((ai)m

i=1)) = fx−1/2,y−1/2((ai)m i=1)).

It reminds us to the Reciprocity Phenomenon.

Tri Lai Tiling Shuffling Phenomenon

slide-56
SLIDE 56

Reciprocity-like phenomenon

(a) (b)

x x+m 2m x x+m 2m i i j j 14 1 1 2 3 3 4 8 10 15 2 3 5 4 7 9 1

Figure: Two ways to assign weight to tilings of the quartered hexagon.

Let fx,y((ai)m

i=1)) = M(Qx((ai)m

i=1))

M(Qy((ai)m

i=1)) and gx,y((ai)m

i=1)) = M(Q′

x((ai)m i=1))

M(Q′

y((ai)m i=1)).

Then gx,y((ai)m

i=1)) = fx−1/2,y−1/2((ai)m i=1)).

Question: Is there a combinatorial explanation for this?

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 57

Hexagons with a triad of bowties removed

f’ f e’ e d’ d a b c a’ b’ c’ z + a ’ + b ’ + c ’ x+a+b+c y + a ’ + b ’ + c ’ z + a + b + c x+a’+b’+c’ y + a + b + c x+d+e+f y + d ’ + e ’ + f ’ z + d + e + f x+d’+e’+f’ y + d + e + f z + d ’ + e ’ + f ’

(a) (b) t+d’+e’+f’ A B C D E F t+a’+b’+c’

Figure: Two ‘sibling’ regions: R = R∆

x,y,z(a, a′, b, b′, c, c′) and

R′ = R∆′

x,y,z(d, d′, e, e′, f , f ′).

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 58

Preparation for the formula Shuffling Theorem

Define the “hyperfactorial” is defined by H(n) = 0! · 1! · 2! · · · (n − 1)!. w := H(s)4 H(a) H(b) H(c) H(a′) H(b′) H(c′) H(s + a) H(s + b) H(s + c) H(s − a′) H(s − b′) H(s − c′) where s = t + a′ + b′ + c′. w ′ := H(s′)4 H(d) H(e) H(f ) H(d′) H(e′) H(f ′) H(s′ + d) H(s′ + e) H(s′ + f ) H(s′ − d′) H(s′ − e′) H(s′ − f ′) where s′ = t + d′ + e′ + f ′.

Tri Lai Tiling Shuffling Phenomenon

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SLIDE 59

Third Shuffling Theorem

Theorem (Ciucu–L.–Rohatgi 2019) M(R∆

x,y,z(a, a′, b, b′, c, c′))

M(R∆′

x,y,z(d, d′, e, e′, f , f ′)) =

w ·

kA(R)kB(R)kC (R) kBC (R)kCA(R)kAB(R)

w ′ ·

kD(R′)kE (R′)kF (R′) kEF (R′)kFD(R′)kDE (R′)

where KA(R) = H(d(A, N))H(d(A, S)) KB(R) = H(d(B, NE))H(d(B, SW )) KC(R) = H(d(C, NW ))H(d(C, SE)) KBC(R) = H(d(BC, N))H(d(BC, S)) KAC(R) = H(d(AC, NE))H(d(AC, SW )) KAB(R) = H(d(AB, NW ))H(d(AB, SE))

Tri Lai Tiling Shuffling Phenomenon

slide-60
SLIDE 60

Third shuffling Theorem

f’ f e’ e d’ d a b c a’ b’ c’ z + a ’ + b ’ + c ’ x+a+b+c y + a ’ + b ’ + c ’ z + a + b + c x+a’+b’+c’ y + a + b + c x+d+e+f y + d ’ + e ’ + f ’ z + d + e + f x+d’+e’+f’ y + d + e + f z + d ’ + e ’ + f ’

(a) (b) t+d’+e’+f’ A B C D E F t+a’+b’+c’ Tri Lai Tiling Shuffling Phenomenon

slide-61
SLIDE 61

A q-analog

d’ d f’ f e’ e z + d ’ + e ’ + f ’ a’ b’ c’ x+a+b+c y + a ’ + b ’ + c ’ z + a + b + c x+a’+b’+c’ y + a + b + c z + a ’ + b ’ + c ’ x+d+e+f y + d ’ + e ’ + f ’ z + d + e + f x+d’+e’+f’ y + d + e + f

(a) (b)

a b c t + d ’ + e ’ + f ’

B C D E F t + a ’ + b ’ + c ’ A

i j i j

w(n) = Xqn + Y q−n 2

Tri Lai Tiling Shuffling Phenomenon

slide-62
SLIDE 62

A q-analog

Conjecture The ratio of tiling generating functions MX,Y ,q(R∆

x,y,z(a, a′, b, b′, c, c′))

MX,Y ,q(R∆′

x,y,z(d, d′, e, e′, f , f ′))

is always given by a simple product formula.

Tri Lai Tiling Shuffling Phenomenon

slide-63
SLIDE 63

The end Thank you!

Email: tlai3@unl.edu Website: http://www.math.unl.edu/∼tlai3/

Tri Lai Tiling Shuffling Phenomenon