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Enumerating traceless matrices Angela Carnevale Universität Bielefeld (joint work with S. Shechter and C. Voll)

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Page 1: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Enumerating traceless matrices

Angela Carnevale

Universität Bielefeld

(joint work with S. Shechter and C. Voll)

Page 2: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

I Motivation: study of Dirichlet series encoding sizes of images of matrices with

certain properties

I Enumeration of (traceless) matrices over finite fields and quotients of Bn

I Some nice combinatorial identities (between 4−variate polynomials over Bn and

Sn)

Page 3: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

I Motivation: study of Dirichlet series encoding sizes of images of matrices with

certain properties

I Enumeration of (traceless) matrices over finite fields and quotients of Bn

I Some nice combinatorial identities (between 4−variate polynomials over Bn and

Sn)

Page 4: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Matrices over finite fields

Matn−in (Fq) = n× n matrices of rank n − i

Alt2(n−i)2n+δ (Fq) = (2n + δ)× (2n + δ) antisymmetric matrices of rank 2(n − i)

Symn−in (Fq) = n× n symmetric matrices of rank n − i

Page 5: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Matrices over finite fields

|Matn−in (Fq)| = qn2−i2

(ni

)q−1

n∏j=i+1

(1 − q−j)

|Alt2(n−i)2n+δ (Fq)| = q(

2n+δ2 )−(2i+δ

2 )(

ni

)q−2

n∏j=i+1

(1 − q−1−2(j+δ))

|Symn−in (Fq)| = q(

n+12 )−(i+1

2 )n−i∏j=0

(1 − q−1−i−j)

b n−i2 c∏

j=0

(1 − q−2−2j)

−1

Page 6: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Hyperoctahedral groups, quotients and some statistics

The hyperoctahedral group Bn is the group of signed permutations, or permutations w

of the set [−n, n] such that w(j) = −w(−j). We use the window notation [w(1), . . . , w(n)].

The Coxeter generating set of Bn is S = {s0, s1, . . . , sn−1}, where s0 = [−1, 2, 3, . . . , n]

and s1, . . . , sn−1 are the simple transpositions.

Des(w) = {i ∈ [0, n − 1] | w(i) > w(i + 1)} and des(w) = |Des(w)|

For i ∈ [0, n − 1] the quotient

B{i}c

n = {w ∈ Bn | Des(w) ⊂ {i}}

Page 7: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Hyperoctahedral groups, quotients and some statistics

The hyperoctahedral group Bn is the group of signed permutations, or permutations w

of the set [−n, n] such that w(j) = −w(−j). We use the window notation [w(1), . . . , w(n)].

The Coxeter generating set of Bn is S = {s0, s1, . . . , sn−1}, where s0 = [−1, 2, 3, . . . , n]

and s1, . . . , sn−1 are the simple transpositions.

Des(w) = {i ∈ [0, n − 1] | w(i) > w(i + 1)} and des(w) = |Des(w)|

For i ∈ [0, n − 1] the quotient

B{i}c

n = {w ∈ Bn | Des(w) ⊂ {i}}

Page 8: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Hyperoctahedral groups, quotients and some statistics

The hyperoctahedral group Bn is the group of signed permutations, or permutations w

of the set [−n, n] such that w(j) = −w(−j). We use the window notation [w(1), . . . , w(n)].

The Coxeter generating set of Bn is S = {s0, s1, . . . , sn−1}, where s0 = [−1, 2, 3, . . . , n]

and s1, . . . , sn−1 are the simple transpositions.

Des(w) = {i ∈ [0, n − 1] | w(i) > w(i + 1)} and des(w) = |Des(w)|

For i ∈ [0, n − 1] the quotient

B{i}c

n = {w ∈ Bn | Des(w) ⊂ {i}}

Page 9: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Hyperoctahedral groups, quotients and some statistics

Negative set of w ∈ Bn is

Neg(w) = {i ∈ [n] | w(i) < 0} and neg(w) = |Neg(w)|

The Coxeter length ` on Bn satisfies

` = inv+neg+nsp

where

inv(w) = |{(i, j) ∈ [n]2 | i < j, w(i) > w(j)}|

and

nsp(w) = |{(i, j) ∈ [n]2 | i < j, w(i) + w(j) < 0}|

Page 10: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Hyperoctahedral groups, quotients and some statistics

Negative set of w ∈ Bn is

Neg(w) = {i ∈ [n] | w(i) < 0} and neg(w) = |Neg(w)|

The odd length L on Bn satisfies

L = oinv+ oneg+ onsp

where

oinv(w) = |{(i, j) ∈ [n]2 | i < j, w(i) > w(j), i 6≡ j (mod 2)}|

and

onsp(w) = |{(i, j) ∈ [n]2 | i < j, w(i) + w(j) < 0, i 6≡ j (mod 2)}|

Page 11: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Matrices over finite fields

Proposition

|Matn−in (Fq)| = qn2−i2

(ni

)q−1

n∏j=i+1

(1 − q−j)

|Alt2(n−i)2n+δ (Fq)| = q(

2n+δ2 )−(2i+δ

2 )(

ni

)q−2

n∏j=i+1

(1 − q−1−2(j+δ))

|Symn−in (Fq)| = q(

n+12 )−(i+1

2 )n−i∏j=0

(1 − q−1−i−j)

b n−i2 c∏

j=0

(1 − q−2−2j)

−1

Page 12: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Matrices over finite fields and permutation statistics

Proposition (Reiner, ’00; Stasinski - Voll, ’14; Brenti - C., ’17)

|Matn−in (Fq)| = qn2−i2

∑w∈B{i}c

n

(−1)neg(w)q−`(w)

|Alt2(n−i)2n+δ (Fq)| = q(

2n+δ2 )−(2i+δ

2 )∑

w∈B{i}cn

(−1)neg(w)q−(2`+(2δ−1)neg)(w)

|Symn−in (Fq)| = q(

n+12 )−(i+1

2 )∑

w∈B{i}cn

(−1)`(w)q−L(w)

Page 13: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition (Bender, ’74)

|Bn−in (Fq)| = qn2−i2−1

(ni

)q−1

n∏j=i+1

(1 − q−j) + (−1)n−i(1 − q−1)q−(n+1

2 )+(i+12 )+1

|Matn−in (Fq)| = qn2−i2

(ni

)q−1

n∏j=i+1

(1 − q−j)

Page 14: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition (Bender, ’74)

|Bn−in (Fq)| = qn2−i2−1

(ni

)q−1

n∏j=i+1

(1 − q−j) + (−1)n−i(1 − q−1)q−(n+1

2 )+(i+12 )+1

|Matn−in (Fq)| = qn2−i2

(ni

)q−1

n∏j=i+1

(1 − q−j)

Page 15: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition (Bender, ’74)

|Bn−in (Fq)| = qn2−i2−1

(ni

)q−1

n∏j=i+1

(1 − q−j) + (−1)n−i(1 − q−1)q−(n+1

2 )+(i+12 )+1

|Matn−in (Fq)| = qn2−i2

(ni

)q−1

n∏j=i+1

(1 − q−j)

Page 16: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition

|Bn−in (Fq)| = qn2−i2−1

∑w∈B{i}c

n

(−1)?q?

|Matn−in (Fq)| = qn2−i2

∑w∈B{i}c

n

(−1)neg(w)q−`(w)

Page 17: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition

|Bn−in (Fq)| = qn2−i2−1

∑w∈B{i}c

n

(−1)?q?

|Matn−in (Fq)| = qn2−i2

∑w∈B{i}c

n

(−1)neg(w)q−`(w)

Page 18: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition (C.-Shechter-Voll, ’17)

|Bn−in (Fq)| = qn2−i2−1

∑w∈B{i}c

n

(−1)neg(w)q−`(w)+εn(w)

where

εn(w) = χ{w(n)<0}

(note that on B{i}c

n , w(n) < 0 iff w(j) < 0, j = i + 1 . . . n)

Page 19: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Traceless matrices

Bn−in (Fq) = n× n traceless matrices of rank n − i

Proposition (C.-Shechter-Voll, ’17)

|Bn−in (Fq)| = qn2−i2−1

∑w∈B{i}c

n

(−1)neg(w)q−`(w)+εn(w)

where

εn(w) = χ{w(n)<0}

(note that on B{i}c

n , w(n) < 0 iff w(j) < 0, j = i + 1 . . . n)

Page 20: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Image zeta function

The image zeta function is the Dirichlet series encoding the size of images of matrices

viewed as endomorphisms. In our case:

Pn(s) =+∞∑N=0

∑x∈sln(oN)∗

| im(x)|−s

elementary divisors + our count for (traceless) matrices of fixed rank ;

Theorem (C. - Shechter - Voll, ’17)

Pn(s) =∑w∈Bn

(−1)neg(w)q(−`+εn)(w)∏

j∈Des(w)

qn2−j2−1−s(n−j)

1 − qn2−j2−1−s(n−j)

Need some statistics to describe these numerators..

Page 21: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Image zeta function

The image zeta function is the Dirichlet series encoding the size of images of matrices

viewed as endomorphisms. In our case:

Pn(s) =+∞∑N=0

∑x∈sln(oN)∗

| im(x)|−s

elementary divisors + our count for (traceless) matrices of fixed rank ;

Theorem (C. - Shechter - Voll, ’17)

Pn(s) =∑w∈Bn

(−1)neg(w)q(−`+εn)(w)∏

j∈Des(w)

qn2−j2−1−s(n−j)

1 − qn2−j2−1−s(n−j)

Need some statistics to describe these numerators..

Page 22: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

Image zeta function

The image zeta function is the Dirichlet series encoding the size of images of matrices

viewed as endomorphisms. In our case:

Pn(s) =+∞∑N=0

∑x∈sln(oN)∗

| im(x)|−s

elementary divisors + our count for (traceless) matrices of fixed rank ;

Theorem (C. - Shechter - Voll, ’17)

Pn(s) =∑w∈Bn

(−1)neg(w)q(−`+εn)(w)∏

j∈Des(w)

qn2−j2−1−s(n−j)

1 − qn2−j2−1−s(n−j)

Need some statistics to describe these numerators..

Page 23: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

More statistics on Sn and Bn

Recall for w ∈ Sn

Des(w) = {i ∈ [n − 1] | w(i) > w(i + 1)}

Define

rmaj(w) =∑

i∈Des(w)

(n − i) σA(w) =∑

i∈Des(w)

i(n − i)

Similarly for w ∈ Bn

Des(w) = {i ∈ [0, n − 1] | w(i) > w(i + 1)}

Define

rmaj(w) =∑

i∈Des(w)

(n − i) σB(w) =∑

i∈Des(w)

(n2 − i2)

Page 24: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

More statistics on Sn and Bn

Recall for w ∈ Sn

Des(w) = {i ∈ [n − 1] | w(i) > w(i + 1)}

Define

rmaj(w) =∑

i∈Des(w)

(n − i) σA(w) =∑

i∈Des(w)

i(n − i)

Similarly for w ∈ Bn

Des(w) = {i ∈ [0, n − 1] | w(i) > w(i + 1)}

Define

rmaj(w) =∑

i∈Des(w)

(n − i) σB(w) =∑

i∈Des(w)

(n2 − i2)

Page 25: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

W finite Weyl group

Root system Φ, (positive rootsΦ+, simple roots ∆ = {α1, . . . ,αn} )

Descents and length:

Des(w) = {i | w−1αi < 0}

`(w) = |{α ∈ Φ+ | w−1α < 0}|

ρ =∑α∈Φ+

α ; ρ = b1α1 + · · ·+ bnαn

σ(w) =∑

i∈Des(w)

bi (W = Sn, bi = i(n − i); W = Bn, bi = n2 − i2)

Page 26: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

W finite Weyl group

Root system Φ, (positive rootsΦ+, simple roots ∆ = {α1, . . . ,αn} )

Descents and length:

Des(w) = {i | w−1αi < 0}

`(w) = |{α ∈ Φ+ | w−1α < 0}|

ρ =∑α∈Φ+

α ; ρ = b1α1 + · · ·+ bnαn

σ(w) =∑

i∈Des(w)

bi (W = Sn, bi = i(n − i); W = Bn, bi = n2 − i2)

Page 27: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

W finite Weyl group

Root system Φ, (positive rootsΦ+, simple roots ∆ = {α1, . . . ,αn} )

Descents and length:

Des(w) = {i | w−1αi < 0}

`(w) = |{α ∈ Φ+ | w−1α < 0}|

ρ =∑α∈Φ+

α ; ρ = b1α1 + · · ·+ bnαn

σ(w) =∑

i∈Des(w)

bi (W = Sn, bi = i(n − i); W = Bn, bi = n2 − i2)

Page 28: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

W finite Weyl group

Root system Φ, (positive rootsΦ+, simple roots ∆ = {α1, . . . ,αn} )

Descents and length:

Des(w) = {i | w−1αi < 0}

`(w) = |{α ∈ Φ+ | w−1α < 0}|

ρ =∑α∈Φ+

α ; ρ = b1α1 + · · ·+ bnαn

σ(w) =∑

i∈Des(w)

bi

(W = Sn, bi = i(n − i); W = Bn, bi = n2 − i2)

Page 29: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

W finite Weyl group

Root system Φ, (positive rootsΦ+, simple roots ∆ = {α1, . . . ,αn} )

Descents and length:

Des(w) = {i | w−1αi < 0}

`(w) = |{α ∈ Φ+ | w−1α < 0}|

ρ =∑α∈Φ+

α ; ρ = b1α1 + · · ·+ bnαn

σ(w) =∑

i∈Des(w)

bi (W = Sn, bi = i(n − i); W = Bn, bi = n2 − i2)

Page 30: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

Theorem (Stembridge-Waugh, ’98)

W finite Weyl group

∑w∈W

qσ(w)−`(w) = f ·n∏

i=1

1 − qbi

1 − qei

where e1, . . . , en are the exponents of W and f is the determinant of Cartan matrix.

Type A and B:

∑w∈Sn

qσA(w)−`(w) = n ·n−1∏i=1

1 − qi(n−i)

1 − qi ,∑w∈Bn

qσB(w)−`(w) = 2 ·n∏

i=1

1 − qn2−i2

1 − q2i−1

Page 31: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

Theorem (Stembridge-Waugh, ’98)

W finite Weyl group

∑w∈W

qσ(w)−`(w) = f ·n∏

i=1

1 − qbi

1 − qei

where e1, . . . , en are the exponents of W and f is the determinant of Cartan matrix.

Type A and B:

∑w∈Sn

qσA(w)−`(w) = n ·n−1∏i=1

1 − qi(n−i)

1 − qi ,

∑w∈Bn

qσB(w)−`(w) = 2 ·n∏

i=1

1 − qn2−i2

1 − q2i−1

Page 32: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

“Forgotten” statistics and a nice generating function

Theorem (Stembridge-Waugh, ’98)

W finite Weyl group

∑w∈W

qσ(w)−`(w) = f ·n∏

i=1

1 − qbi

1 − qei

where e1, . . . , en are the exponents of W and f is the determinant of Cartan matrix.

Type A and B:

∑w∈Sn

qσA(w)−`(w) = n ·n−1∏i=1

1 − qi(n−i)

1 − qi ,∑w∈Bn

qσB(w)−`(w) = 2 ·n∏

i=1

1 − qn2−i2

1 − q2i−1

Page 33: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

Proposition (C. - Shechter - Voll, ’17)

∑w∈Bn

W(des−εn)(w)X(σB−`)(w)Yneg(w)Zrmaj(w) =

(∑w∈Sn

Wdes(w)X(σA−`)(w)(XnZ)rmaj(w)

)n−1∏j=0

(1 + XjYZ).

Proof

I Decompose Bn according to inverse negative set

I Perform an alphabet replacement

Page 34: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

Proposition (C. - Shechter - Voll, ’17)

∑w∈Bn

W(des−εn)(w)X(σB−`)(w)Yneg(w)Zrmaj(w) =

(∑w∈Sn

Wdes(w)X(σA−`)(w)(XnZ)rmaj(w)

)n−1∏j=0

(1 + XjYZ).

Proof

I Decompose Bn according to inverse negative set

I Perform an alphabet replacement

Page 35: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

Proposition (C. - Shechter - Voll, ’17)

∑w∈Bn

W(des−εn)(w)X(σB−`)(w)Yneg(w)Zrmaj(w) =

(∑w∈Sn

Wdes(w)X(σA−`)(w)(XnZ)rmaj(w)

)n−1∏j=0

(1 + XjYZ).

Proof

I Decompose Bn according to inverse negative set

I Perform an alphabet replacement

Page 36: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

I Recall:

Neg(w−1) =values which appear with negative sign in the window notation of w.

(e.g. w = 14̄2̄53̄ ; Neg(w−1) = {2, 3, 4})

Bn =⋃

J⊆[n]

{w ∈ Bn | Neg(w−1) = J

}

I for J ⊂ [n] and max J < j 6 n

{w ∈ Bn|Neg(w−1) = J

} ϕj−→{

w ∈ Bn|Neg(w−1) = J ∪ {j}}

J 7−→ J

n 7−→ ̄

[n] \ (J ∪ {n}) 7−→ [n] \ (J ∪ {j})

Page 37: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

I Recall:

Neg(w−1) =values which appear with negative sign in the window notation of w.

(e.g. w = 14̄2̄53̄ ; Neg(w−1) = {2, 3, 4})

Bn =⋃

J⊆[n]

{w ∈ Bn | Neg(w−1) = J

}

I for J ⊂ [n] and max J < j 6 n

{w ∈ Bn|Neg(w−1) = J

} ϕj−→{

w ∈ Bn|Neg(w−1) = J ∪ {j}}

J 7−→ J

n 7−→ ̄

[n] \ (J ∪ {n}) 7−→ [n] \ (J ∪ {j})

Page 38: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

Example: Neg(w−1) = J = {1, 4}, j = 3

4̄1̄2356 ; 4̄1̄2563̄

5361̄24̄ ; 653̄1̄24̄

Des(ϕj(w)) =(Des(w) \ {w−1(n)}

)∪ {w−1(n) − 1}

;∑w∈Bn

W(des−εn)(w)X(σB−`)(w)Yneg(w)Zrmaj(w) =

(∑w∈Sn

Wdes(w)X(σA−`)(w)(XnZ)rmaj(w)) n−1∏

j=0

(1 + XjYZ).

Page 39: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

Example: Neg(w−1) = J = {1, 4}, j = 3

4̄1̄2356 ; 4̄1̄2563̄

5361̄24̄ ; 653̄1̄24̄

Des(ϕj(w)) =(Des(w) \ {w−1(n)}

)∪ {w−1(n) − 1}

;∑w∈Bn

W(des−εn)(w)X(σB−`)(w)Yneg(w)Zrmaj(w) =

(∑w∈Sn

Wdes(w)X(σA−`)(w)(XnZ)rmaj(w)) n−1∏

j=0

(1 + XjYZ).

Page 40: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

4-variate distribution and factorisation

Example: Neg(w−1) = J = {1, 4}, j = 3

4̄1̄2356 ; 4̄1̄2563̄

5361̄24̄ ; 653̄1̄24̄

Des(ϕj(w)) =(Des(w) \ {w−1(n)}

)∪ {w−1(n) − 1}

;∑w∈Bn

W(des−εn)(w)X(σB−`)(w)Yneg(w)Zrmaj(w) =

(∑w∈Sn

Wdes(w)X(σA−`)(w)(XnZ)rmaj(w)) n−1∏

j=0

(1 + XjYZ).

Page 41: Angela Carnevale Universität Bielefeld (joint work with S ...math.univ-lyon1.fr/homes-www/slc/wpapers/s79vortrag/carnevale.pdf · I Motivation: study of Dirichlet series encoding

The end