Ribbon Schur functions with full support
Ribbon Schur functions with full support and Schur positivity
O. Azenhas, A. Conflitti, R. Mamede
CMUC, Universidade de Coimbra 67th S´eminaire Lotharingien de Combinatoire
Joint session with
XVII Incontro Italiano di Combinatoria Algebrica Bertinoro
September, 2011
Ribbon Schur functions with full support
Outline
1 Maximal support and Schur positivity
2 Classification of ribbon Schur functions with interval support
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur functions and support
The Schur functions are considered to be the most important basis for the ring of symmetric functions.
Given partitionsµ⊆λ,A:=λ/µ sA=X
ν
cAνsν,
where cAν is the number of SSYT of shapeAand contentν, satisfying the Littlewood-Richardson rule.
A= 3321/211 =
sA=s2111+2s221+s311+s32
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur functions and support
The Schur functions are considered to be the most important basis for the ring of symmetric functions.
Given partitionsµ⊆λ,A:=λ/µ sA=X
ν
cAνsν,
where cAν is the number of SSYT of shapeAand contentν, satisfying the Littlewood-Richardson rule.
A= 3321/211 =
sA=s2111+2s221+s311+s32
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur functions and support
A= 3321/211 =
sA=s2111+2s221+s311+s32
r(A) is the partition consisting of the row lengths of A, and c(A) is defined similarly. The support of A, considered as a subposet of the dominance lattice, has a top elementr(A)0 and a bottom element c(A),
sA= X
c(A)ν0r(A)0
cAνsν.
supp(A) ={ν0 :cAν >0} ⊆[c(A),r(A)0] =
[221; 41]
1 1 2 2 1
1 1 2 3
4 .
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur functions and support
A= 3321/211 =
sA=s2111+2s221+s311+s32
r(A) is the partition consisting of the row lengths of A, and c(A) is defined similarly. The support of A, considered as a subposet of the dominance lattice, has a top elementr(A)0 and a bottom element c(A),
sA= X
c(A)ν0r(A)0
cAνsν.
supp(A) ={ν0 :cAν>0}
⊆[c(A),r(A)0] =
[221; 41]
1 1 2 2 1
1 1 2 3
4 .
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur functions and support
A= 3321/211 =
sA=s2111+2s221+s311+s32
r(A) is the partition consisting of the row lengths of A, and c(A) is defined similarly. The support of A, considered as a subposet of the dominance lattice, has a top elementr(A)0 and a bottom element c(A),
sA= X
c(A)ν0r(A)0
cAνsν.
supp(A) ={ν0 :cAν>0} ⊆[c(A),r(A)0] =
[221; 41]
1 1 2 2 1
1 1 2 3
4 .
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur positivity
Given skew shapes A and B, when is sA−sB Schur positive?
sA−sB is Schur positive only ifsupp(B)⊆supp(A).
A= 3321/211 = ,B= 3311/21 =
sA =s32+s211+2s221+s311, sB =s32+s211+1s221+s311
suppA=suppB,
sA−sB =s221is Schur positive butsB−sA=−1s221is not.
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur positivity
Given skew shapes A and B, when is sA−sB Schur positive?
sA−sB is Schur positive only ifsupp(B)⊆supp(A).
A= 3321/211 = ,B= 3311/21 =
sA =s32+s211+2s221+s311, sB =s32+s211+1s221+s311
suppA=suppB,
sA−sB =s221is Schur positive butsB−sA=−1s221is not.
Ribbon Schur functions with full support Maximal support and Schur positivity
Schur positivity
Given skew shapes A and B, when is sA−sB Schur positive?
sA−sB is Schur positive only ifsupp(B)⊆supp(A).
A= 3321/211 = , B= 3311/21 =
sA =s32+s211+2s221+s311, sB =s32+s211+1s221+s311
suppA=suppB,
sA−sB =s221is Schur positive butsB−sA=−1s221is not.
Ribbon Schur functions with full support Maximal support and Schur positivity
Skew shape equivalences
Skew shapes yielding the same Schur function AanB are said to be Schur equivalentifsA=sB
[A] ={B :sA=sB}
A= andB = are not Schur equivalent but
Aand its antipodal rotationAπ= are.
Skew shapes yielding the same support
AanB are said to be support equivalentif suppA=suppB bAc={B:suppB =suppA}
A,B andAπ are support equivalent.
Ribbon Schur functions with full support Maximal support and Schur positivity
Skew shape equivalences
Skew shapes yielding the same Schur function AanB are said to be Schur equivalentifsA=sB
[A] ={B :sA=sB}
A= andB = are not Schur equivalent but
Aand its antipodal rotationAπ= are.
Skew shapes yielding the same support
AanB are said to be support equivalentif suppA=suppB bAc={B:suppB =suppA}
A,B andAπ are support equivalent.
Ribbon Schur functions with full support Maximal support and Schur positivity
Partial orders on skew shape classes
PN is the poset of all Schur equivalence classes [A] such thatAhas N boxes.
[A]≥s [B] if sA−sB is Schur positive
SuppN is the poset of all support equivalence classesbAcsuch that AhasN boxes.
bAc ≥supp bBcif the support ofB is contained in that of A
A= andB =
[B]<s [A] in P5
bBc=bAc in Supp5
Ribbon Schur functions with full support Maximal support and Schur positivity
Maximal supports among connected skew shapes
InMaximal supports and Schur-positivity among connected skew shapes arXiv:1107.4373 P. R. W. MacNamara, S. van Willigenburg classify the maximal connected skew shapes ofSuppN.
Theorem
An elementbRcinSuppN is a maximal connected element iff R is a ribbon in which the lengths of any two empty rows differ by at most one and the lengths of any two nonempty columns differ by at most one.
ThesuppR is the full interval.
R= (2,3,3) = bRc=bRπc
R0 = bRc0 =bR0c
Ribbon Schur functions with full support Maximal support and Schur positivity
Maximal supports among connected skew shapes
InMaximal supports and Schur-positivity among connected skew shapes arXiv:1107.4373 P. R. W. MacNamara, S. van Willigenburg classify the maximal connected skew shapes ofSuppN.
Theorem
An elementbRcinSuppN is a maximal connected element iff R is a ribbon in which the lengths of any two empty rows differ by at most one and the lengths of any two nonempty columns differ by at most one.
ThesuppR is the full interval.
R= (2,3,3) = bRc=bRπc
R0 = bRc0 =bR0c
Ribbon Schur functions with full support Maximal support and Schur positivity
Ribbon shapes with full support
PROBLEM: What are the ribbon shapesR= (r1, . . . ,rs) whose support consists of the whole interval in the dominance lattice?
What are the ribbon shapes R= (r1, . . . ,rs) with suppR= [(rk1, . . . ,rks); (P
j≥1rj−s+ 1,s−1)]? s−1 the number of rows with length two in R
R= (2,3,3) =
X X
suppR= [322; 6 2]
Ribbon Schur functions with full support Maximal support and Schur positivity
Ribbon shapes with full support
PROBLEM: What are the ribbon shapesR= (r1, . . . ,rs) whose support consists of the whole interval in the dominance lattice?
What are the ribbon shapes R= (r1, . . . ,rs) with suppR= [(rk1, . . . ,rks); (P
j≥1rj−s+ 1,s−1)]?
s−1 the number of rows with length two in R
R= (2,3,3) =
X X
suppR= [322; 6 2]
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (32522271)
(7 5 3 2 2 2 2 1)ξ= (8 8 8)(24−7,7).
8 7 6 54 3 2
1
8 7 6
7 6 54 1
8
54 3 2
3 21
8 7 6
1
8 7 654321
54 3 2
There is vertical space to put the last string of length 8. P2
i=1ξi−P2
i=1ri= (8 + 8)−(7 + 5) = 4>p= 3, ξ3= 8<P
i≥3ri−p= 3 + 2 + 2 + 2 + 2 + 1−3, (8 8 8)∈supp(R) ξ3= 8 = (P
i≥3ri−p)−1
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (32522271)
(7 5 3 2 2 2 2 1)ξ= (8 8 8)(24−7,7).
8 7 6 54 3 2
1
8 7 6
7 6 54 1
8
54 3 2
3 21
8 7 6
1
8 7 654321
54 3 2
There is vertical space to put the last string of length 8. P2
i=1ξi−P2
i=1ri= (8 + 8)−(7 + 5) = 4>p= 3, ξ3= 8<P
i≥3ri−p= 3 + 2 + 2 + 2 + 2 + 1−3, (8 8 8)∈supp(R) ξ3= 8 = (P
i≥3ri−p)−1
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (32522271)
(7 5 3 2 2 2 2 1)ξ= (8 8 8)(24−7,7).
8 7 6 54 3 2
1
8 7 6
7 6 54 1
8
54 3 2
3 21
8 7 6
1
8 7 654321
54 3 2
There is vertical space to put the last string of length 8. P2
i=1ξi−P2
i=1ri= (8 + 8)−(7 + 5) = 4>p= 3, ξ3= 8<P
i≥3ri−p= 3 + 2 + 2 + 2 + 2 + 1−3, (8 8 8)∈supp(R) ξ3= 8 = (P
i≥3ri−p)−1
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (32522271)
(7 5 3 2 2 2 2 1)ξ= (8 8 8)(24−7,7).
8 7 6 54 3 2
1
8 7 6
7 6 54 1
8
54 3 2
3 21
8 7 6
1
8 7 654321
54 3 2
There is vertical space to put the last string of length 8. P2
i=1ξi−P2
i=1ri= (8 + 8)−(7 + 5) = 4>p= 3, ξ3= 8<P
i≥3ri−p= 3 + 2 + 2 + 2 + 2 + 1−3, (8 8 8)∈supp(R) ξ3= 8 = (P
i≥3ri−p)−1
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (32522271)
(7 5 3 2 2 2 2 1)ξ= (8 8 8)(24−7,7).
8 7 6 54 3 2
1
8 7 6
7 6 54 1
8
54 3 2
3 21
8 7 6
1
8 7 654321
54 3 2
There is vertical space to put the last string of length 8. P2
i=1ξi−P2
i=1ri= (8 + 8)−(7 + 5) = 4>p= 3, ξ3= 8<P
i≥3ri−p= 3 + 2 + 2 + 2 + 2 + 1−3, (8 8 8)∈supp(R) ξ3= 8 = (P
i≥3ri−p)−1
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (32522271)
(7 5 3 2 2 2 2 1)ξ= (8 8 8)(24−7,7).
8 7 6 54 3 2
1
8 7 6
7 6 54 1
8
54 3 2
3 21
8 7 6
1
8 7 654321
54 3 2
There is vertical space to put the last string of length 8.
P2
i=1ξi−P2
i=1ri= (8 + 8)−(7 + 5) = 4>p= 3, ξ3= 8<P
i≥3ri−p= 3 + 2 + 2 + 2 + 2 + 1−3, (8 8 8)∈supp(R) ξ3= 8 = (P
i≥3ri−p)−1
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5)
1 2 3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
There are enough boxes to put the last string of length 7 but not enough vertical space: a row of length two remains.
ξ1−r1+ξ2−r2= 7−6+7−6≤3−1 p= 3 ξ3= 7≥2+3+2+2−2 ξ= (777)∈/ suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
There are enough boxes to put the last string of length 7 but not enough vertical space: a row of length two remains.
ξ1−r1+ξ2−r2= 7−6+7−6≤3−1 p= 3 ξ3= 7≥2+3+2+2−2 ξ= (777)∈/ suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
There are enough boxes to put the last string of length 7 but not enough vertical space: a row of length two remains.
ξ1−r1+ξ2−r2= 7−6+7−6≤3−1 p= 3 ξ3= 7≥2+3+2+2−2 ξ= (777)∈/ suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
There are enough boxes to put the last string of length 7 but not enough vertical space: a row of length two remains.
ξ1−r1+ξ2−r2= 7−6+7−6≤3−1 p= 3 ξ3= 7≥2+3+2+2−2 ξ= (777)∈/ suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 6 1) (7 7 7) (21, 21
−5)
1 2 3 4 5 6 1 2 3 4 5 7
6 7
1 2 3 4 5 6 1 2 3 4 5 7 6 7
21 43 65There is not enough vertical space to put a third string of length 7 but there is enough vertical space to put two more strings: one of length 6 and another of length 1.
ξ1−r1+ξ2−r2= 7−6+7−6 = 2 p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR (7761)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 6 1) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7
6 7
1 2 3 4 5 6 1 2 3 4 5 7 6 7
21 43 65There is not enough vertical space to put a third string of length 7 but there is enough vertical space to put two more strings: one of length 6 and another of length 1.
ξ1−r1+ξ2−r2= 7−6+7−6 = 2 p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR (7761)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 6 1) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7
6 7
1 2 3 4 5 6 1 2 3 4 5 7 6 7
21 43 65There is not enough vertical space to put a third string of length 7 but there is enough vertical space to put two more strings: one of length 6 and another of length 1.
ξ1−r1+ξ2−r2= 7−6+7−6 = 2 p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR (7761)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 6 1) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7
6 7
1 2 3 4 5 6 1 2 3 4 5 7 6 7
21 43 65There is not enough vertical space to put a third string of length 7 but there is enough vertical space to put two more strings: one of length 6 and another of length 1.
ξ1−r1+ξ2−r2= 7−6+7−6 = 2 p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR (7761)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R
= (662322) (6
23 2
3) (7 7 6 1) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7
6 7
1 2 3 4 5 6 1 2 3 4 5 7 6 7
21 43 65There is not enough vertical space to put a third string of length 7 but there is enough vertical space to put two more strings: one of length 6 and another of length 1.
ξ1−r1+ξ2−r2= 7−6+7−6 = 2 p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR (7761)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (662322) (623 23)(7 7 6 1)(7 7 7)(8 7 6) (21,21−5)
1 2 3 45 6 1 2 34 7 8 6 7 5
1 2 3 45 6 1 2 34 7 8
76 5
1 2 34 5 6 1 23 4 7 8
7 6 5
65 4 321
ξ1−r1+ξ2−r2= 8−6+7−6 = 3 =p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR, (7761)∈suppR, (8 7 6)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (662322) (623 23)(7 7 6 1)(7 7 7)(8 7 6) (21,21−5)
1 2 3 45 6 1 2 34 7 8 6 7 5
1 2 3 45 6 1 2 34 7 8
76 5
1 2 34 5 6 1 23 4 7 8
7 6 5
65 4 321
ξ1−r1+ξ2−r2= 8−6+7−6 = 3 =p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR, (7761)∈suppR, (8 7 6)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (662322) (623 23)(7 7 6 1)(7 7 7)(8 7 6) (21,21−5)
1 2 3 45 6 1 2 34 7 8 6 7 5
1 2 3 45 6 1 2 34 7 8
76 5
1 2 34 5 6 1 23 4 7 8
7 6 5
65 4 321
ξ1−r1+ξ2−r2= 8−6+7−6 = 3 =p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR, (7761)∈suppR, (8 7 6)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (662322) (623 23)(7 7 6 1)(7 7 7)(8 7 6) (21,21−5)
1 2 3 45 6 1 2 34 7 8 6 7 5
1 2 3 45 6 1 2 34 7 8
76 5
1 2 34 5 6 1 23 4 7 8
7 6 5
65 4 321
ξ1−r1+ξ2−r2= 8−6+7−6 = 3 =p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR, (7761)∈suppR, (8 7 6)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (662322) (623 23)(7 7 6 1)(7 7 7)(8 7 6) (21,21−5)
1 2 3 45 6 1 2 34 7 8 6 7 5
1 2 3 45 6 1 2 34 7 8
76 5
1 2 34 5 6 1 23 4 7 8
7 6 5
65 4 321
ξ1−r1+ξ2−r2= 8−6+7−6 = 3 =p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR, (7761)∈suppR, (8 7 6)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
R= (662322) (623 23)(7 7 6 1)(7 7 7)(8 7 6) (21,21−5)
1 2 3 45 6 1 2 34 7 8 6 7 5
1 2 3 45 6 1 2 34 7 8
76 5
1 2 34 5 6 1 23 4 7 8
7 6 5
65 4 321
ξ1−r1+ξ2−r2= 8−6+7−6 = 3 =p= 3 ξ3= 6 = 2+3+2+2−3 (777)∈/ suppR, (7761)∈suppR, (8 7 6)∈suppR
Ribbon Schur functions with full support Maximal support and Schur positivity
Ribbon shape LR fillings
Lemma
Letξ= (ξ1, . . . , ξt) be a partition in the Schur interval [(rk1, . . . ,rks); (P
j≥1rj−s+ 1,s−1)] but not in the support ofR.
Then there exists an 1≤i ≤t−1 such that ifp≥1 is the number of rows with length two among the columns indexed byS ={ki+1, . . . ,ks}, one has
ξi+1≥X
q∈S
rq−p+ 1
⇒
i
X
j=1
(ξj−rkj)≤p−1
. (1) This implies that the numberpof rows of length two, among the
adjacent columns indexed byS in R, can not be shortened by what remainsPi
j=1(ξj−rkj).
Ribbon Schur functions with full support
Classification of ribbon Schur functions with interval support
Theorem
LetR= (r1, . . . ,rs),s≥2, be a ribbon. Then suppR$[(rk1, . . . ,rks); (P
j≥1
rj−s+ 1,s−1)] if and only if for some 1≤i≤s−2 withp>0 rows of length two among the columns indexed by{ki+1, . . . ,ks}, there existg1, . . . ,gi ≥0 withPi
j=1gj =p−1, such that
rk1+g1≥
s
X
j=i+1
rkj −p+ 1 ...
rki−1+gi−1≥
s
X
j=i+1
rkj −p+ 1
rki+gi≥
s
X
j=i+1
rkj −p+ 1
Moreover (rk1+g1, . . . ,rki +gi,Ps
j=i+1rkj −p+ 1)≥ ∈/ suppR.
Ribbon Schur functions with full support
Classification of ribbon Schur functions with interval support
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5)
1 2 3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
ξ
= (777)
∈/suppRξ1−r1
+ξ
2−r2= 7
−6+7−6≤3−1
ξ3= 7
≥2+3+2+2−2
r1+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
r2
+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
(876)
∈suppRRibbon Schur functions with full support
Classification of ribbon Schur functions with interval support
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
ξ
= (777)
∈/suppRξ1−r1
+ξ
2−r2= 7
−6+7−6≤3−1
ξ3= 7
≥2+3+2+2−2
r1+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
r2
+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
(876)
∈suppRRibbon Schur functions with full support
Classification of ribbon Schur functions with interval support
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
ξ
= (777)
∈/suppRξ1−r1
+ξ
2−r2= 7
−6+7−6≤3−1
ξ3= 7
≥2+3+2+2−2
r1+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
r2
+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
(876)
∈suppRRibbon Schur functions with full support
Classification of ribbon Schur functions with interval support
R
= (662322) (6
23 2
3) (7 7 7) (21, 21
−5) 1 2
3 4 5 6 1 2 3 4 5 7 6 7
1 2 3 4 5 6 1 2 3 4 5 6 7 7
ξ
= (777)
∈/suppRξ1−r1
+ξ
2−r2= 7
−6+7−6≤3−1
ξ3= 7
≥2+3+2+2−2
r1+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
r2
+ 1 = 6 + 1
≥2 + 3 + 2 + 2
−2
(876)
∈suppRRibbon Schur functions with full support
Classification of ribbon Schur functions with interval support
Examples
Ribbons whose column and row lengths differ in one unity have full support
[(t
m,(t
−1)
n); (mt +
n(t−1)
−m−n+ 1,
m+
n−1)].
The support of a ribbon
R= (r
1,r2,r3) has full interval except when
r= (r
1,r2,r3) or
r= (r
2,r3,r1) with
r1 ≥r2+
r3.
R= (6222276), (7662222).
6 + 2
≥2 + 2 + 2 + 2
−2
7, 6
≥2 + 2 + 2 + 2
−2
.Then
ξ= (6 + 2, 7, 6, 2 + 2 + 2 + 2
−2)
∈/ supp(R).Ribbon Schur functions with full support
Classification of ribbon Schur functions with interval support
1 O. Azenhas, The admissible interval for the invariant factors of a product of matrices, Linear and Multilinear Algebra 46 (1999), 51-99.
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