\(k\)-Schur Functions¶

class sage.combinat.sf.new_kschur.KBoundedSubspace(Sym, k, t='t')[source]¶

Bases: UniqueRepresentation, Parent

This class implements the subspace of the ring of symmetric functions spanned by \(\{ s_{\lambda}[X/(1-t)] \}_{\lambda_1\le k} = \{ s_{\lambda}^{(k)}[X;t]\}_{\lambda_1 \le k}\) over the base ring \(\QQ[t]\). When \(t=1\), this space is in fact a subring of the ring of symmetric functions generated by the complete homogeneous symmetric functions \(h_i\) for \(1\le i \le k\).

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: KB = Sym.kBoundedSubspace(3,1); KB
3-bounded Symmetric Functions over Rational Field with t=1

sage: Sym = SymmetricFunctions(QQ['t'])
sage: KB = Sym.kBoundedSubspace(3); KB
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> KB = Sym.kBoundedSubspace(Integer(3),Integer(1)); KB
3-bounded Symmetric Functions over Rational Field with t=1

>>> Sym = SymmetricFunctions(QQ['t'])
>>> KB = Sym.kBoundedSubspace(Integer(3)); KB
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field

Sage Live

Sym = SymmetricFunctions(QQ)
KB = Sym.kBoundedSubspace(3,1); KB
Sym = SymmetricFunctions(QQ['t'])
KB = Sym.kBoundedSubspace(3); KB

The \(k\)-Schur function basis can be constructed as follows:

Sage

sage: ks = KB.kschur(); ks
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis

Python

>>> from sage.all import *
>>> ks = KB.kschur(); ks
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis

Sage Live

ks = KB.kschur(); ks

K_kschur()[source]¶

Return the \(k\)-bounded basis called the K-\(k\)-Schur basis.

See [Morse11] and [LamSchillingShimozono10].

REFERENCES:

[Morse11]

J. Morse, Combinatorics of the K-theory of affine Grassmannians, Adv. in Math., Volume 229, Issue 5, pp. 2950–2984.

[LamSchillingShimozono10]

T. Lam, A. Schilling, M.Shimozono, K-theory Schubert calculus of the affine Grassmannian, Compositio Math. 146 (2010), 811-852.

EXAMPLES:

Sage

sage: kB = SymmetricFunctions(QQ).kBoundedSubspace(3,1)
sage: g = kB.K_kschur()
sage: g
3-bounded Symmetric Functions over Rational Field with t=1 in the K-3-Schur basis
sage: kB = SymmetricFunctions(QQ['t']).kBoundedSubspace(3)
sage: g = kB.K_kschur()
Traceback (most recent call last):
...
ValueError: This basis only exists for t=1

Python

>>> from sage.all import *
>>> kB = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1))
>>> g = kB.K_kschur()
>>> g
3-bounded Symmetric Functions over Rational Field with t=1 in the K-3-Schur basis
>>> kB = SymmetricFunctions(QQ['t']).kBoundedSubspace(Integer(3))
>>> g = kB.K_kschur()
Traceback (most recent call last):
...
ValueError: This basis only exists for t=1

Sage Live

kB = SymmetricFunctions(QQ).kBoundedSubspace(3,1)
g = kB.K_kschur()
g
kB = SymmetricFunctions(QQ['t']).kBoundedSubspace(3)
g = kB.K_kschur()

khomogeneous()[source]¶

The homogeneous basis of this algebra.

See also

kHomogeneous()

EXAMPLES:

Sage

sage: kh3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).khomogeneous()
sage: TestSuite(kh3).run()

Python

>>> from sage.all import *
>>> kh3 = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).khomogeneous()
>>> TestSuite(kh3).run()

Sage Live

kh3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).khomogeneous()
TestSuite(kh3).run()

kschur()[source]¶

The \(k\)-Schur basis of this algebra.

See also

kSchur()

EXAMPLES:

Sage

sage: ks3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).kschur()
sage: TestSuite(ks3).run()

Python

>>> from sage.all import *
>>> ks3 = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).kschur()
>>> TestSuite(ks3).run()

Sage Live

ks3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).kschur()
TestSuite(ks3).run()

ksplit()[source]¶

The \(k\)-split basis of this algebra.

See also

kSplit()

EXAMPLES:

Sage

sage: ksp3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).ksplit()
sage: TestSuite(ksp3).run()

Python

>>> from sage.all import *
>>> ksp3 = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).ksplit()
>>> TestSuite(ksp3).run()

Sage Live

ksp3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).ksplit()
TestSuite(ksp3).run()

realizations()[source]¶

A list of realizations of this algebra.

EXAMPLES:

Sage

sage: SymmetricFunctions(QQ).kBoundedSubspace(3,1).realizations()
[3-bounded Symmetric Functions over Rational Field with t=1 in the 3-Schur basis,
 3-bounded Symmetric Functions over Rational Field with t=1 in the 3-split basis,
 3-bounded Symmetric Functions over Rational Field with t=1 in the 3-bounded homogeneous basis,
 3-bounded Symmetric Functions over Rational Field with t=1 in the K-3-Schur basis]
sage: SymmetricFunctions(QQ['t']).kBoundedSubspace(3).realizations()
[3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis,
 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-split basis]

Python

>>> from sage.all import *
>>> SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).realizations()
[3-bounded Symmetric Functions over Rational Field with t=1 in the 3-Schur basis,
 3-bounded Symmetric Functions over Rational Field with t=1 in the 3-split basis,
 3-bounded Symmetric Functions over Rational Field with t=1 in the 3-bounded homogeneous basis,
 3-bounded Symmetric Functions over Rational Field with t=1 in the K-3-Schur basis]
>>> SymmetricFunctions(QQ['t']).kBoundedSubspace(Integer(3)).realizations()
[3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis,
 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-split basis]

Sage Live

SymmetricFunctions(QQ).kBoundedSubspace(3,1).realizations()
SymmetricFunctions(QQ['t']).kBoundedSubspace(3).realizations()

retract(sym)[source]¶

Return the retract of sym from the ring of symmetric functions to self.

INPUT:

sym – a symmetric function

OUTPUT:

the analogue of the symmetric function in the \(k\)-bounded subspace (if possible)

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: s = Sym.schur()
sage: KB = Sym.kBoundedSubspace(3,1); KB
3-bounded Symmetric Functions over Rational Field with t=1
sage: KB.retract(s[2]+s[3])
ks3[2] + ks3[3]
sage: KB.retract(s[2,1,1])
Traceback (most recent call last):
...
ValueError: s[2, 1, 1] is not in the image

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> s = Sym.schur()
>>> KB = Sym.kBoundedSubspace(Integer(3),Integer(1)); KB
3-bounded Symmetric Functions over Rational Field with t=1
>>> KB.retract(s[Integer(2)]+s[Integer(3)])
ks3[2] + ks3[3]
>>> KB.retract(s[Integer(2),Integer(1),Integer(1)])
Traceback (most recent call last):
...
ValueError: s[2, 1, 1] is not in the image

Sage Live

Sym = SymmetricFunctions(QQ)
s = Sym.schur()
KB = Sym.kBoundedSubspace(3,1); KB
KB.retract(s[2]+s[3])
KB.retract(s[2,1,1])

class sage.combinat.sf.new_kschur.KBoundedSubspaceBases(base, t='t')[source]¶

Bases: Category_realization_of_parent

The category of bases for the \(k\)-bounded subspace of symmetric functions.

class ElementMethods[source]¶

Bases: object

expand(*args, **kwargs)[source]¶

Return the monomial expansion of self in \(n\) variables.

INPUT:

n – positive integer

OUTPUT: monomial expansion of self in \(n\) variables

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: ks = Sym.kschur(3,1)
sage: ks[3,1].expand(2)
x0^4 + 2*x0^3*x1 + 2*x0^2*x1^2 + 2*x0*x1^3 + x1^4
sage: s = Sym.schur()
sage: ks[3,1].expand(2) == s(ks[3,1]).expand(2)
True

sage: Sym = SymmetricFunctions(QQ['t'])
sage: ks = Sym.kschur(3)
sage: f = ks[3,2]-ks[1]
sage: f.expand(2)
t^2*x0^5 + (t^2 + t)*x0^4*x1 + (t^2 + t + 1)*x0^3*x1^2 + (t^2 + t + 1)*x0^2*x1^3 + (t^2 + t)*x0*x1^4 + t^2*x1^5 - x0 - x1

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> ks = Sym.kschur(Integer(3),Integer(1))
>>> ks[Integer(3),Integer(1)].expand(Integer(2))
x0^4 + 2*x0^3*x1 + 2*x0^2*x1^2 + 2*x0*x1^3 + x1^4
>>> s = Sym.schur()
>>> ks[Integer(3),Integer(1)].expand(Integer(2)) == s(ks[Integer(3),Integer(1)]).expand(Integer(2))
True

>>> Sym = SymmetricFunctions(QQ['t'])
>>> ks = Sym.kschur(Integer(3))
>>> f = ks[Integer(3),Integer(2)]-ks[Integer(1)]
>>> f.expand(Integer(2))
t^2*x0^5 + (t^2 + t)*x0^4*x1 + (t^2 + t + 1)*x0^3*x1^2 + (t^2 + t + 1)*x0^2*x1^3 + (t^2 + t)*x0*x1^4 + t^2*x1^5 - x0 - x1

Sage Live

Sym = SymmetricFunctions(QQ)
ks = Sym.kschur(3,1)
ks[3,1].expand(2)
s = Sym.schur()
ks[3,1].expand(2) == s(ks[3,1]).expand(2)
Sym = SymmetricFunctions(QQ['t'])
ks = Sym.kschur(3)
f = ks[3,2]-ks[1]
f.expand(2)

hl_creation_operator(nu, t=None)[source]¶

This is the vertex operator that generalizes Jing’s operator.

It is a linear operator that raises the degree by \(|\nu|\). This creation operator is a t-analogue of multiplication by s(nu) .

See also

Proposition 5 in [SZ2001].

INPUT:

nu – a partition or a list of integers
t – (default: None, in which case t is used) an element of the base ring

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(FractionField(QQ['t']))
sage: ks = Sym.kschur(4)
sage: s = Sym.schur()
sage: s(ks([3,1,1]).hl_creation_operator([1]))
(t-1)*s[2, 2, 1, 1] + t^2*s[3, 1, 1, 1] + (t^3+t^2-t)*s[3, 2, 1] + (t^3-t^2)*s[3, 3] + (t^4+t^3)*s[4, 1, 1] + t^4*s[4, 2] + t^5*s[5, 1]
sage: ks([3,1,1]).hl_creation_operator([1])
(t-1)*ks4[2, 2, 1, 1] + t^2*ks4[3, 1, 1, 1] + t^3*ks4[3, 2, 1] + (t^3-t^2)*ks4[3, 3] + t^4*ks4[4, 1, 1]

sage: Sym = SymmetricFunctions(QQ)
sage: ks = Sym.kschur(4,t=1)
sage: ks([3,1,1]).hl_creation_operator([1])
ks4[3, 1, 1, 1] + ks4[3, 2, 1] + ks4[4, 1, 1]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(FractionField(QQ['t']))
>>> ks = Sym.kschur(Integer(4))
>>> s = Sym.schur()
>>> s(ks([Integer(3),Integer(1),Integer(1)]).hl_creation_operator([Integer(1)]))
(t-1)*s[2, 2, 1, 1] + t^2*s[3, 1, 1, 1] + (t^3+t^2-t)*s[3, 2, 1] + (t^3-t^2)*s[3, 3] + (t^4+t^3)*s[4, 1, 1] + t^4*s[4, 2] + t^5*s[5, 1]
>>> ks([Integer(3),Integer(1),Integer(1)]).hl_creation_operator([Integer(1)])
(t-1)*ks4[2, 2, 1, 1] + t^2*ks4[3, 1, 1, 1] + t^3*ks4[3, 2, 1] + (t^3-t^2)*ks4[3, 3] + t^4*ks4[4, 1, 1]

>>> Sym = SymmetricFunctions(QQ)
>>> ks = Sym.kschur(Integer(4),t=Integer(1))
>>> ks([Integer(3),Integer(1),Integer(1)]).hl_creation_operator([Integer(1)])
ks4[3, 1, 1, 1] + ks4[3, 2, 1] + ks4[4, 1, 1]

Sage Live

Sym = SymmetricFunctions(FractionField(QQ['t']))
ks = Sym.kschur(4)
s = Sym.schur()
s(ks([3,1,1]).hl_creation_operator([1]))
ks([3,1,1]).hl_creation_operator([1])
Sym = SymmetricFunctions(QQ)
ks = Sym.kschur(4,t=1)
ks([3,1,1]).hl_creation_operator([1])

is_schur_positive(*args, **kwargs)[source]¶

Return whether self is Schur positive.

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: ks = Sym.kschur(3,1)
sage: f = ks[3,2]+ks[1]
sage: f.is_schur_positive()
True
sage: f = ks[3,2]-ks[1]
sage: f.is_schur_positive()
False

sage: Sym = SymmetricFunctions(QQ['t'])
sage: ks = Sym.kschur(3)
sage: f = ks[3,2]+ks[1]
sage: f.is_schur_positive()
True
sage: f = ks[3,2]-ks[1]
sage: f.is_schur_positive()
False

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> ks = Sym.kschur(Integer(3),Integer(1))
>>> f = ks[Integer(3),Integer(2)]+ks[Integer(1)]
>>> f.is_schur_positive()
True
>>> f = ks[Integer(3),Integer(2)]-ks[Integer(1)]
>>> f.is_schur_positive()
False

>>> Sym = SymmetricFunctions(QQ['t'])
>>> ks = Sym.kschur(Integer(3))
>>> f = ks[Integer(3),Integer(2)]+ks[Integer(1)]
>>> f.is_schur_positive()
True
>>> f = ks[Integer(3),Integer(2)]-ks[Integer(1)]
>>> f.is_schur_positive()
False

Sage Live

Sym = SymmetricFunctions(QQ)
ks = Sym.kschur(3,1)
f = ks[3,2]+ks[1]
f.is_schur_positive()
f = ks[3,2]-ks[1]
f.is_schur_positive()
Sym = SymmetricFunctions(QQ['t'])
ks = Sym.kschur(3)
f = ks[3,2]+ks[1]
f.is_schur_positive()
f = ks[3,2]-ks[1]
f.is_schur_positive()

omega()[source]¶

Return the \(\omega\) operator on self.

At \(t=1\), \(\omega\) maps the \(k\)-Schur function \(s^{(k)}_\lambda\) to \(s^{(k)}_{\lambda^{(k)}}\), where \(\lambda^{(k)}\) is the \(k\)-conjugate of the partition \(\lambda\).

See also

k_conjugate().

For generic \(t\), \(\omega\) sends \(s^{(k)}_\lambda[X;t]\) to \(t^d s^{(k)}_{\lambda^{(k)}}[X;1/t]\), where \(d\) is the size of the core of \(\lambda\) minus the size of \(\lambda\). Most of the time, this result is not in the \(k\)-bounded subspace.

See also

omega_t_inverse().

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: ks = Sym.kschur(3,1)
sage: ks[2,2,1,1].omega()
ks3[2, 2, 2]
sage: kh = Sym.khomogeneous(3)
sage: kh[3].omega()
h3[1, 1, 1] - 2*h3[2, 1] + h3[3]

sage: Sym = SymmetricFunctions(FractionField(QQ['t']))
sage: ks = Sym.kschur(3)
sage: ks[3,1,1].omega()
Traceback (most recent call last):
...
ValueError: t*s[2, 1, 1, 1] + s[3, 1, 1] is not in the image

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> ks = Sym.kschur(Integer(3),Integer(1))
>>> ks[Integer(2),Integer(2),Integer(1),Integer(1)].omega()
ks3[2, 2, 2]
>>> kh = Sym.khomogeneous(Integer(3))
>>> kh[Integer(3)].omega()
h3[1, 1, 1] - 2*h3[2, 1] + h3[3]

>>> Sym = SymmetricFunctions(FractionField(QQ['t']))
>>> ks = Sym.kschur(Integer(3))
>>> ks[Integer(3),Integer(1),Integer(1)].omega()
Traceback (most recent call last):
...
ValueError: t*s[2, 1, 1, 1] + s[3, 1, 1] is not in the image

Sage Live

Sym = SymmetricFunctions(QQ)
ks = Sym.kschur(3,1)
ks[2,2,1,1].omega()
kh = Sym.khomogeneous(3)
kh[3].omega()
Sym = SymmetricFunctions(FractionField(QQ['t']))
ks = Sym.kschur(3)
ks[3,1,1].omega()

omega_t_inverse()[source]¶

Return the map \(t\to 1/t\) composed with \(\omega\) on self.

Unlike the map omega(), the result of omega_t_inverse() lives in the \(k\)-bounded subspace and hence will return an element even for generic \(t\). For \(t=1\), omega() and omega_t_inverse() return the same result.

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(FractionField(QQ['t']))
sage: ks = Sym.kschur(3)
sage: ks[3,1,1].omega_t_inverse()
1/t*ks3[2, 1, 1, 1]
sage: ks[3,2].omega_t_inverse()
1/t^2*ks3[1, 1, 1, 1, 1]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(FractionField(QQ['t']))
>>> ks = Sym.kschur(Integer(3))
>>> ks[Integer(3),Integer(1),Integer(1)].omega_t_inverse()
1/t*ks3[2, 1, 1, 1]
>>> ks[Integer(3),Integer(2)].omega_t_inverse()
1/t^2*ks3[1, 1, 1, 1, 1]

Sage Live

Sym = SymmetricFunctions(FractionField(QQ['t']))
ks = Sym.kschur(3)
ks[3,1,1].omega_t_inverse()
ks[3,2].omega_t_inverse()

scalar(x, zee=None)[source]¶

Return standard scalar product between self and x.

INPUT:

x – element of the ring of symmetric functions over the same base ring as self
zee – an optional function on partitions giving the value for the scalar product between \(p_{\mu}\) and \(p_{\mu}\) (default: use the standard zee() function)

See also

scalar()

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ['t'])
sage: ks3 = Sym.kschur(3)
sage: ks3[3,2,1].scalar( ks3[2,2,2] )
t^3 + t
sage: dks3 = Sym.kBoundedQuotient(3).dks()
sage: [ks3[3,2,1].scalar(dks3(la)) for la in Partitions(6, max_part=3)]
[0, 1, 0, 0, 0, 0, 0]
sage: dks3 = Sym.kBoundedQuotient(3,t=1).dks()
sage: [ks3[2,2,2].scalar(dks3(la)) for la in Partitions(6, max_part=3)]
[0, t - 1, 0, 1, 0, 0, 0]
sage: ks3 = Sym.kschur(3,t=1)
sage: [ks3[2,2,2].scalar(dks3(la)) for la in Partitions(6, max_part=3)]
[0, 0, 0, 1, 0, 0, 0]
sage: kH = Sym.khomogeneous(4)
sage: kH([2,2,1]).scalar(ks3[2,2,1])
3

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ['t'])
>>> ks3 = Sym.kschur(Integer(3))
>>> ks3[Integer(3),Integer(2),Integer(1)].scalar( ks3[Integer(2),Integer(2),Integer(2)] )
t^3 + t
>>> dks3 = Sym.kBoundedQuotient(Integer(3)).dks()
>>> [ks3[Integer(3),Integer(2),Integer(1)].scalar(dks3(la)) for la in Partitions(Integer(6), max_part=Integer(3))]
[0, 1, 0, 0, 0, 0, 0]
>>> dks3 = Sym.kBoundedQuotient(Integer(3),t=Integer(1)).dks()
>>> [ks3[Integer(2),Integer(2),Integer(2)].scalar(dks3(la)) for la in Partitions(Integer(6), max_part=Integer(3))]
[0, t - 1, 0, 1, 0, 0, 0]
>>> ks3 = Sym.kschur(Integer(3),t=Integer(1))
>>> [ks3[Integer(2),Integer(2),Integer(2)].scalar(dks3(la)) for la in Partitions(Integer(6), max_part=Integer(3))]
[0, 0, 0, 1, 0, 0, 0]
>>> kH = Sym.khomogeneous(Integer(4))
>>> kH([Integer(2),Integer(2),Integer(1)]).scalar(ks3[Integer(2),Integer(2),Integer(1)])
3

Sage Live

Sym = SymmetricFunctions(QQ['t'])
ks3 = Sym.kschur(3)
ks3[3,2,1].scalar( ks3[2,2,2] )
dks3 = Sym.kBoundedQuotient(3).dks()
[ks3[3,2,1].scalar(dks3(la)) for la in Partitions(6, max_part=3)]
dks3 = Sym.kBoundedQuotient(3,t=1).dks()
[ks3[2,2,2].scalar(dks3(la)) for la in Partitions(6, max_part=3)]
ks3 = Sym.kschur(3,t=1)
[ks3[2,2,2].scalar(dks3(la)) for la in Partitions(6, max_part=3)]
kH = Sym.khomogeneous(4)
kH([2,2,1]).scalar(ks3[2,2,1])

class ParentMethods[source]¶

Bases: object

an_element()[source]¶

Return an element of self.

EXAMPLES:

Sage

sage: SymmetricFunctions(QQ['t']).kschur(3).an_element()
2*ks3[] + 2*ks3[1] + 3*ks3[2]

Python

>>> from sage.all import *
>>> SymmetricFunctions(QQ['t']).kschur(Integer(3)).an_element()
2*ks3[] + 2*ks3[1] + 3*ks3[2]

Sage Live

SymmetricFunctions(QQ['t']).kschur(3).an_element()

antipode(element)[source]¶

Return the antipode on self by lifting to the space of symmetric functions, computing the antipode, and then converting to self.parent(). This is only the antipode for \(t = 1\) and for other values of \(t\) the result may not be in the space where the \(k\)-Schur functions live.

INPUT:

element – an element in a basis of the ring of symmetric functions

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: ks3 = Sym.kschur(3,1)
sage: ks3[3,2].antipode()
-ks3[1, 1, 1, 1, 1]
sage: ks3.antipode(ks3[3,2])
-ks3[1, 1, 1, 1, 1]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> ks3 = Sym.kschur(Integer(3),Integer(1))
>>> ks3[Integer(3),Integer(2)].antipode()
-ks3[1, 1, 1, 1, 1]
>>> ks3.antipode(ks3[Integer(3),Integer(2)])
-ks3[1, 1, 1, 1, 1]

Sage Live

Sym = SymmetricFunctions(QQ)
ks3 = Sym.kschur(3,1)
ks3[3,2].antipode()
ks3.antipode(ks3[3,2])

coproduct(element)[source]¶

Return the coproduct operation on element.

The coproduct is first computed on the homogeneous basis if \(t=1\) and on the Hall-Littlewood Qp basis otherwise. The result is computed then converted to the tensor squared of self.parent().

INPUT:

element – an element in a basis of the ring of symmetric functions

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: ks3 = Sym.kschur(3,1)
sage: ks3[2,1].coproduct()
ks3[] # ks3[2, 1] + ks3[1] # ks3[1, 1] + ks3[1] # ks3[2] + ks3[1, 1] # ks3[1] + ks3[2] # ks3[1] + ks3[2, 1] # ks3[]
sage: h3 = Sym.khomogeneous(3)
sage: h3[2,1].coproduct()
h3[] # h3[2, 1] + h3[1] # h3[1, 1] + h3[1] # h3[2] + h3[1, 1] # h3[1] + h3[2] # h3[1] + h3[2, 1] # h3[]
sage: ks3t = SymmetricFunctions(FractionField(QQ['t'])).kschur(3)
sage: ks3t[2,1].coproduct()
ks3[] # ks3[2, 1] + ks3[1] # ks3[1, 1] + ks3[1] # ks3[2] + ks3[1, 1] # ks3[1] + ks3[2] # ks3[1] + ks3[2, 1] # ks3[]
sage: ks3t[3,1].coproduct()
ks3[] # ks3[3, 1] + ks3[1] # ks3[2, 1] + (t+1)*ks3[1] # ks3[3] + ks3[1, 1] # ks3[2] + ks3[2] # ks3[1, 1]
+ (t+1)*ks3[2] # ks3[2] + ks3[2, 1] # ks3[1] + (t+1)*ks3[3] # ks3[1] + ks3[3, 1] # ks3[]
sage: h3.coproduct(h3[2,1])
h3[] # h3[2, 1] + h3[1] # h3[1, 1] + h3[1] # h3[2] + h3[1, 1] # h3[1] + h3[2] # h3[1] + h3[2, 1] # h3[]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> ks3 = Sym.kschur(Integer(3),Integer(1))
>>> ks3[Integer(2),Integer(1)].coproduct()
ks3[] # ks3[2, 1] + ks3[1] # ks3[1, 1] + ks3[1] # ks3[2] + ks3[1, 1] # ks3[1] + ks3[2] # ks3[1] + ks3[2, 1] # ks3[]
>>> h3 = Sym.khomogeneous(Integer(3))
>>> h3[Integer(2),Integer(1)].coproduct()
h3[] # h3[2, 1] + h3[1] # h3[1, 1] + h3[1] # h3[2] + h3[1, 1] # h3[1] + h3[2] # h3[1] + h3[2, 1] # h3[]
>>> ks3t = SymmetricFunctions(FractionField(QQ['t'])).kschur(Integer(3))
>>> ks3t[Integer(2),Integer(1)].coproduct()
ks3[] # ks3[2, 1] + ks3[1] # ks3[1, 1] + ks3[1] # ks3[2] + ks3[1, 1] # ks3[1] + ks3[2] # ks3[1] + ks3[2, 1] # ks3[]
>>> ks3t[Integer(3),Integer(1)].coproduct()
ks3[] # ks3[3, 1] + ks3[1] # ks3[2, 1] + (t+1)*ks3[1] # ks3[3] + ks3[1, 1] # ks3[2] + ks3[2] # ks3[1, 1]
+ (t+1)*ks3[2] # ks3[2] + ks3[2, 1] # ks3[1] + (t+1)*ks3[3] # ks3[1] + ks3[3, 1] # ks3[]
>>> h3.coproduct(h3[Integer(2),Integer(1)])
h3[] # h3[2, 1] + h3[1] # h3[1, 1] + h3[1] # h3[2] + h3[1, 1] # h3[1] + h3[2] # h3[1] + h3[2, 1] # h3[]

Sage Live

Sym = SymmetricFunctions(QQ)
ks3 = Sym.kschur(3,1)
ks3[2,1].coproduct()
h3 = Sym.khomogeneous(3)
h3[2,1].coproduct()
ks3t = SymmetricFunctions(FractionField(QQ['t'])).kschur(3)
ks3t[2,1].coproduct()
ks3t[3,1].coproduct()
h3.coproduct(h3[2,1])

counit(element)[source]¶

Return the counit of element.

The counit is the constant term of element.

INPUT:

element – an element in a basis of the ring of symmetric functions

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: ks3 = Sym.kschur(3,1)
sage: f = 2*ks3[2,1] + 3*ks3[[]]
sage: f.counit()
3
sage: ks3.counit(f)
3

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> ks3 = Sym.kschur(Integer(3),Integer(1))
>>> f = Integer(2)*ks3[Integer(2),Integer(1)] + Integer(3)*ks3[[]]
>>> f.counit()
3
>>> ks3.counit(f)
3

Sage Live

Sym = SymmetricFunctions(QQ)
ks3 = Sym.kschur(3,1)
f = 2*ks3[2,1] + 3*ks3[[]]
f.counit()
ks3.counit(f)

degree_on_basis(b)[source]¶

Return the degree of the basis element indexed by \(b\).

INPUT:

b – a partition

EXAMPLES:

Sage

sage: ks3 = SymmetricFunctions(QQ).kschur(3,1)
sage: ks3.degree_on_basis(Partition([3,2]))
5

Python

>>> from sage.all import *
>>> ks3 = SymmetricFunctions(QQ).kschur(Integer(3),Integer(1))
>>> ks3.degree_on_basis(Partition([Integer(3),Integer(2)]))
5

Sage Live

ks3 = SymmetricFunctions(QQ).kschur(3,1)
ks3.degree_on_basis(Partition([3,2]))

one_basis()[source]¶

Return the basis element indexing 1.

EXAMPLES:

Sage

sage: ks3 = SymmetricFunctions(QQ).kschur(3,1)
sage: ks3.one()  # indirect doctest
ks3[]

Python

>>> from sage.all import *
>>> ks3 = SymmetricFunctions(QQ).kschur(Integer(3),Integer(1))
>>> ks3.one()  # indirect doctest
ks3[]

Sage Live

ks3 = SymmetricFunctions(QQ).kschur(3,1)
ks3.one()  # indirect doctest

transition_matrix(other, n)[source]¶

Return the degree n transition matrix between self and other.

INPUT:

other – a basis in the ring of symmetric functions
n – positive integer

The entry in the \(i\)-th row and \(j\)-th column is the coefficient obtained by writing the \(i\)-th element of the basis of self in terms of the basis other, and extracting the \(j\)-th coefficient.

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ); s = Sym.schur()
sage: ks3 = Sym.kschur(3,1)
sage: ks3.transition_matrix(s,5)
[1 1 1 0 0 0 0]
[0 1 0 1 0 0 0]
[0 0 1 0 1 0 0]
[0 0 0 1 0 1 0]
[0 0 0 0 1 1 1]

sage: Sym = SymmetricFunctions(QQ['t'])
sage: s = Sym.schur()
sage: ks = Sym.kschur(3)
sage: ks.transition_matrix(s,5)
[t^2   t   1   0   0   0   0]
[  0   t   0   1   0   0   0]
[  0   0   t   0   1   0   0]
[  0   0   0   t   0   1   0]
[  0   0   0   0 t^2   t   1]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ); s = Sym.schur()
>>> ks3 = Sym.kschur(Integer(3),Integer(1))
>>> ks3.transition_matrix(s,Integer(5))
[1 1 1 0 0 0 0]
[0 1 0 1 0 0 0]
[0 0 1 0 1 0 0]
[0 0 0 1 0 1 0]
[0 0 0 0 1 1 1]

>>> Sym = SymmetricFunctions(QQ['t'])
>>> s = Sym.schur()
>>> ks = Sym.kschur(Integer(3))
>>> ks.transition_matrix(s,Integer(5))
[t^2   t   1   0   0   0   0]
[  0   t   0   1   0   0   0]
[  0   0   t   0   1   0   0]
[  0   0   0   t   0   1   0]
[  0   0   0   0 t^2   t   1]

Sage Live

Sym = SymmetricFunctions(QQ); s = Sym.schur()
ks3 = Sym.kschur(3,1)
ks3.transition_matrix(s,5)
Sym = SymmetricFunctions(QQ['t'])
s = Sym.schur()
ks = Sym.kschur(3)
ks.transition_matrix(s,5)

super_categories()[source]¶

The super categories of self.

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ['t'])
sage: from sage.combinat.sf.new_kschur import KBoundedSubspaceBases
sage: KB = Sym.kBoundedSubspace(3)
sage: KBB = KBoundedSubspaceBases(KB); KBB
Category of k bounded subspace bases of 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field
sage: KBB.super_categories()
[Category of realizations of 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field,
 Join of Category of graded coalgebras with basis over Univariate Polynomial Ring in t over Rational Field
     and Category of subobjects of filtered modules with basis over Univariate Polynomial Ring in t over Rational Field]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ['t'])
>>> from sage.combinat.sf.new_kschur import KBoundedSubspaceBases
>>> KB = Sym.kBoundedSubspace(Integer(3))
>>> KBB = KBoundedSubspaceBases(KB); KBB
Category of k bounded subspace bases of 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field
>>> KBB.super_categories()
[Category of realizations of 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field,
 Join of Category of graded coalgebras with basis over Univariate Polynomial Ring in t over Rational Field
     and Category of subobjects of filtered modules with basis over Univariate Polynomial Ring in t over Rational Field]

Sage Live

Sym = SymmetricFunctions(QQ['t'])
from sage.combinat.sf.new_kschur import KBoundedSubspaceBases
KB = Sym.kBoundedSubspace(3)
KBB = KBoundedSubspaceBases(KB); KBB
KBB.super_categories()

class sage.combinat.sf.new_kschur.K_kSchur(kBoundedRing)[source]¶

Bases: CombinatorialFreeModule

This class implements the basis of the \(k\)-bounded subspace called the K-\(k\)-Schur basis.

See [Morse2011], [LamSchillingShimozono2010].

REFERENCES:

[Morse2011]

J. Morse, Combinatorics of the K-theory of affine Grassmannians, Adv. in Math., Volume 229, Issue 5, pp. 2950–2984.

[LamSchillingShimozono2010]

T. Lam, A. Schilling, M.Shimozono, K-theory Schubert calculus of the affine Grassmannian, Compositio Math. 146 (2010), 811-852.

K_k_Schur_non_commutative_variables(la)[source]¶

Return the K-\(k\)-Schur function, as embedded inside the affine zero Hecke algebra.

INPUT:

la – a \(k\)-bounded Partition

OUTPUT: an element of the affine zero Hecke algebra

EXAMPLES:

Sage

sage: g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
sage: g.K_k_Schur_non_commutative_variables([2,1])
T[3,1,0] + T[1,2,0] + T[3,2,0] + T[0,1,0] + T[2,0,1] + T[0,3,0] + T[2,0,3] + T[0,3,1] + T[2,3,2] + T[2,3,1] + T[3,1,2] + T[1,2,1] - T[2,0] - T[3,1]
sage: g.K_k_Schur_non_commutative_variables([])
1
sage: g.K_k_Schur_non_commutative_variables([4,1])
Traceback (most recent call last):
...
ValueError: Partition should be 3-bounded

Python

>>> from sage.all import *
>>> g = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).K_kschur()
>>> g.K_k_Schur_non_commutative_variables([Integer(2),Integer(1)])
T[3,1,0] + T[1,2,0] + T[3,2,0] + T[0,1,0] + T[2,0,1] + T[0,3,0] + T[2,0,3] + T[0,3,1] + T[2,3,2] + T[2,3,1] + T[3,1,2] + T[1,2,1] - T[2,0] - T[3,1]
>>> g.K_k_Schur_non_commutative_variables([])
1
>>> g.K_k_Schur_non_commutative_variables([Integer(4),Integer(1)])
Traceback (most recent call last):
...
ValueError: Partition should be 3-bounded

Sage Live

g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
g.K_k_Schur_non_commutative_variables([2,1])
g.K_k_Schur_non_commutative_variables([])
g.K_k_Schur_non_commutative_variables([4,1])

homogeneous_basis_noncommutative_variables_zero_Hecke(la)[source]¶

Return the homogeneous basis element indexed by la, viewed as an element inside the affine zero Hecke algebra. For the code, see method _homogeneous_basis.

INPUT:

la – a \(k\)-bounded partition

OUTPUT: an element of the affine zero Hecke algebra

EXAMPLES:

Sage

sage: g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
sage: g.homogeneous_basis_noncommutative_variables_zero_Hecke([2,1])
T[2,1,0] + T[3,1,0] + T[1,2,0] + T[3,2,0] + T[0,1,0] + T[2,0,1] + T[1,0,3] + T[0,3,0] + T[2,0,3] + T[0,3,2] + T[0,3,1] + T[2,3,2] + T[3,2,1] + T[2,3,1] + T[3,1,2] + T[1,2,1] - T[1,0] - 2*T[2,0] - T[0,3] - T[3,2] - 2*T[3,1] - T[2,1]
sage: g.homogeneous_basis_noncommutative_variables_zero_Hecke([])
1

Python

>>> from sage.all import *
>>> g = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).K_kschur()
>>> g.homogeneous_basis_noncommutative_variables_zero_Hecke([Integer(2),Integer(1)])
T[2,1,0] + T[3,1,0] + T[1,2,0] + T[3,2,0] + T[0,1,0] + T[2,0,1] + T[1,0,3] + T[0,3,0] + T[2,0,3] + T[0,3,2] + T[0,3,1] + T[2,3,2] + T[3,2,1] + T[2,3,1] + T[3,1,2] + T[1,2,1] - T[1,0] - 2*T[2,0] - T[0,3] - T[3,2] - 2*T[3,1] - T[2,1]
>>> g.homogeneous_basis_noncommutative_variables_zero_Hecke([])
1

Sage Live

g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
g.homogeneous_basis_noncommutative_variables_zero_Hecke([2,1])
g.homogeneous_basis_noncommutative_variables_zero_Hecke([])

lift(x)[source]¶

Return the lift of a \(k\)-bounded symmetric function.

INPUT:

x – an expression in the K-\(k\)-Schur basis. Equivalently, x can be a
\(k\)-bounded partition (then x corresponds to the basis element indexed by x)

OUTPUT: a symmetric function

EXAMPLES:

Sage

sage: g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
sage: g.lift([2,1])
h[2] + h[2, 1] - h[3]
sage: g.lift([])
h[]
sage: g.lift([4,1])
Traceback (most recent call last):
...
TypeError: do not know how to make x (= [4, 1]) an element of self (=3-bounded Symmetric Functions over Rational Field with t=1 in the K-3-Schur basis)

Python

>>> from sage.all import *
>>> g = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).K_kschur()
>>> g.lift([Integer(2),Integer(1)])
h[2] + h[2, 1] - h[3]
>>> g.lift([])
h[]
>>> g.lift([Integer(4),Integer(1)])
Traceback (most recent call last):
...
TypeError: do not know how to make x (= [4, 1]) an element of self (=3-bounded Symmetric Functions over Rational Field with t=1 in the K-3-Schur basis)

Sage Live

g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
g.lift([2,1])
g.lift([])
g.lift([4,1])

product(x, y)[source]¶

Return the product of the two K-\(k\)-Schur functions.

INPUT:

x, y – elements of the \(k\)-bounded subspace, in the K-\(k\)-Schur basis

OUTPUT: an element of the \(k\)-bounded subspace, in the K-\(k\)-Schur basis

EXAMPLES:

Sage

sage: g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
sage: g.product(g([2,1]), g[1])
-2*Kks3[2, 1] + Kks3[2, 1, 1] + Kks3[2, 2]
sage: g.product(g([2,1]), g([]))
Kks3[2, 1]

Python

>>> from sage.all import *
>>> g = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).K_kschur()
>>> g.product(g([Integer(2),Integer(1)]), g[Integer(1)])
-2*Kks3[2, 1] + Kks3[2, 1, 1] + Kks3[2, 2]
>>> g.product(g([Integer(2),Integer(1)]), g([]))
Kks3[2, 1]

Sage Live

g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
g.product(g([2,1]), g[1])
g.product(g([2,1]), g([]))

retract(x)[source]¶

Return the retract of a symmetric function.

INPUT:

x – a symmetric function

OUTPUT: a \(k\)-bounded symmetric function in the K-\(k\)-Schur basis

EXAMPLES:

Sage

sage: g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
sage: m = SymmetricFunctions(QQ).m()
sage: g.retract(m[2,1])
-2*Kks3[1] + 4*Kks3[1, 1] - 2*Kks3[1, 1, 1] - Kks3[2] + Kks3[2, 1]
sage: g.retract(m([]))
Kks3[]

Python

>>> from sage.all import *
>>> g = SymmetricFunctions(QQ).kBoundedSubspace(Integer(3),Integer(1)).K_kschur()
>>> m = SymmetricFunctions(QQ).m()
>>> g.retract(m[Integer(2),Integer(1)])
-2*Kks3[1] + 4*Kks3[1, 1] - 2*Kks3[1, 1, 1] - Kks3[2] + Kks3[2, 1]
>>> g.retract(m([]))
Kks3[]

Sage Live

g = SymmetricFunctions(QQ).kBoundedSubspace(3,1).K_kschur()
m = SymmetricFunctions(QQ).m()
g.retract(m[2,1])
g.retract(m([]))

class sage.combinat.sf.new_kschur.kHomogeneous(kBoundedRing)[source]¶

Bases: CombinatorialFreeModule

Space of \(k\)-bounded homogeneous symmetric functions.

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ)
sage: kH = Sym.khomogeneous(3)
sage: kH[2]
h3[2]
sage: kH[2].lift()
h[2]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ)
>>> kH = Sym.khomogeneous(Integer(3))
>>> kH[Integer(2)]
h3[2]
>>> kH[Integer(2)].lift()
h[2]

Sage Live

Sym = SymmetricFunctions(QQ)
kH = Sym.khomogeneous(3)
kH[2]
kH[2].lift()

class sage.combinat.sf.new_kschur.kSchur(kBoundedRing)[source]¶

Bases: CombinatorialFreeModule

Space of \(k\)-Schur functions.

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ['t'])
sage: KB = Sym.kBoundedSubspace(3); KB
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ['t'])
>>> KB = Sym.kBoundedSubspace(Integer(3)); KB
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field

Sage Live

Sym = SymmetricFunctions(QQ['t'])
KB = Sym.kBoundedSubspace(3); KB

The \(k\)-Schur function basis can be constructed as follows:

Sage

sage: ks3 = KB.kschur(); ks3
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis

Python

>>> from sage.all import *
>>> ks3 = KB.kschur(); ks3
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis

Sage Live

ks3 = KB.kschur(); ks3

We can convert to any basis of the ring of symmetric functions and, whenever it makes sense, also the other way round:

Sage

sage: s = Sym.schur()
sage: s(ks3([3,2,1]))
s[3, 2, 1] + t*s[4, 1, 1] + t*s[4, 2] + t^2*s[5, 1]
sage: t = Sym.base_ring().gen()
sage: ks3(s([3, 2, 1]) + t*s([4, 1, 1]) + t*s([4, 2]) + t^2*s([5, 1]))
ks3[3, 2, 1]
sage: s(ks3[2, 1, 1])
s[2, 1, 1] + t*s[3, 1]
sage: ks3(s[2, 1, 1] + t*s[3, 1])
ks3[2, 1, 1]

Python

>>> from sage.all import *
>>> s = Sym.schur()
>>> s(ks3([Integer(3),Integer(2),Integer(1)]))
s[3, 2, 1] + t*s[4, 1, 1] + t*s[4, 2] + t^2*s[5, 1]
>>> t = Sym.base_ring().gen()
>>> ks3(s([Integer(3), Integer(2), Integer(1)]) + t*s([Integer(4), Integer(1), Integer(1)]) + t*s([Integer(4), Integer(2)]) + t**Integer(2)*s([Integer(5), Integer(1)]))
ks3[3, 2, 1]
>>> s(ks3[Integer(2), Integer(1), Integer(1)])
s[2, 1, 1] + t*s[3, 1]
>>> ks3(s[Integer(2), Integer(1), Integer(1)] + t*s[Integer(3), Integer(1)])
ks3[2, 1, 1]

Sage Live

s = Sym.schur()
s(ks3([3,2,1]))
t = Sym.base_ring().gen()
ks3(s([3, 2, 1]) + t*s([4, 1, 1]) + t*s([4, 2]) + t^2*s([5, 1]))
s(ks3[2, 1, 1])
ks3(s[2, 1, 1] + t*s[3, 1])

\(k\)-Schur functions are indexed by partitions with first part \(\le k\). Constructing a \(k\)-Schur function for a larger partition raises an error:

Sage

sage: ks3([4,3,2,1]) #
Traceback (most recent call last):
...
TypeError: do not know how to make x (= [4, 3, 2, 1]) an element of self (=3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis)

Python

>>> from sage.all import *
>>> ks3([Integer(4),Integer(3),Integer(2),Integer(1)]) #
Traceback (most recent call last):
...
TypeError: do not know how to make x (= [4, 3, 2, 1]) an element of self (=3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis)

Sage Live

ks3([4,3,2,1]) #

Similarly, attempting to convert a function that is not in the linear span of the \(k\)-Schur functions raises an error:

Sage

sage: ks3(s([4]))
Traceback (most recent call last):
...
ValueError: s[4] is not in the image

Python

>>> from sage.all import *
>>> ks3(s([Integer(4)]))
Traceback (most recent call last):
...
ValueError: s[4] is not in the image

Sage Live

ks3(s([4]))

Note that the product of \(k\)-Schur functions is not guaranteed to be in the space spanned by the \(k\)-Schurs. In general, we only have that a \(k\)-Schur times a \(j\)-Schur function is in the \((k+j)\)-bounded subspace. The multiplication of two \(k\)-Schur functions thus generally returns the product of the lift of the functions to the ambient symmetric function space. If the result happens to lie in the \(k\)-bounded subspace, then the result is cast into the \(k\)-Schur basis:

Sage

sage: ks2 = Sym.kBoundedSubspace(2).kschur()
sage: ks2[1] * ks2[1]
ks2[1, 1] + ks2[2]
sage: ks2[1] * ks2[2]
s[2, 1] + s[3]

Python

>>> from sage.all import *
>>> ks2 = Sym.kBoundedSubspace(Integer(2)).kschur()
>>> ks2[Integer(1)] * ks2[Integer(1)]
ks2[1, 1] + ks2[2]
>>> ks2[Integer(1)] * ks2[Integer(2)]
s[2, 1] + s[3]

Sage Live

ks2 = Sym.kBoundedSubspace(2).kschur()
ks2[1] * ks2[1]
ks2[1] * ks2[2]

Because the target space of the product of a \(k\)-Schur and a \(j\)-Schur has several possibilities, the product of a \(k\)-Schur and \(j\)-Schur function is not implemented for distinct \(k\) and \(j\). Let us show how to get around this ‘manually’:

Sage

sage: ks3 = Sym.kBoundedSubspace(3).kschur()
sage: ks2([2,1]) * ks3([3,1])
Traceback (most recent call last):
...
TypeError: unsupported operand parent(s) for *: '2-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 2-Schur basis' and '3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis'

Python

>>> from sage.all import *
>>> ks3 = Sym.kBoundedSubspace(Integer(3)).kschur()
>>> ks2([Integer(2),Integer(1)]) * ks3([Integer(3),Integer(1)])
Traceback (most recent call last):
...
TypeError: unsupported operand parent(s) for *: '2-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 2-Schur basis' and '3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis'

Sage Live

ks3 = Sym.kBoundedSubspace(3).kschur()
ks2([2,1]) * ks3([3,1])

The workaround:

Sage

sage: f = s(ks2([2,1])) * s(ks3([3,1])); f # Convert to Schur functions first and multiply there.
s[3, 2, 1, 1] + s[3, 2, 2] + (t+1)*s[3, 3, 1] + s[4, 1, 1, 1]
+ (2*t+2)*s[4, 2, 1] + (t^2+t+1)*s[4, 3] + (2*t+1)*s[5, 1, 1]
+ (t^2+2*t+1)*s[5, 2] + (t^2+2*t)*s[6, 1] + t^2*s[7]

Python

>>> from sage.all import *
>>> f = s(ks2([Integer(2),Integer(1)])) * s(ks3([Integer(3),Integer(1)])); f # Convert to Schur functions first and multiply there.
s[3, 2, 1, 1] + s[3, 2, 2] + (t+1)*s[3, 3, 1] + s[4, 1, 1, 1]
+ (2*t+2)*s[4, 2, 1] + (t^2+t+1)*s[4, 3] + (2*t+1)*s[5, 1, 1]
+ (t^2+2*t+1)*s[5, 2] + (t^2+2*t)*s[6, 1] + t^2*s[7]

Sage Live

f = s(ks2([2,1])) * s(ks3([3,1])); f # Convert to Schur functions first and multiply there.

or:

Sage

sage: f = ks2[2,1].lift() * ks3[3,1].lift()
sage: ks5 = Sym.kBoundedSubspace(5).kschur()
sage: ks5(f) # The product of a 'ks2' with a 'ks3' is a 'ks5'.
ks5[3, 2, 1, 1] + ks5[3, 2, 2] + (t+1)*ks5[3, 3, 1] + ks5[4, 1, 1, 1]
+ (t+2)*ks5[4, 2, 1] + (t^2+t+1)*ks5[4, 3] + (t+1)*ks5[5, 1, 1] + ks5[5, 2]

Python

>>> from sage.all import *
>>> f = ks2[Integer(2),Integer(1)].lift() * ks3[Integer(3),Integer(1)].lift()
>>> ks5 = Sym.kBoundedSubspace(Integer(5)).kschur()
>>> ks5(f) # The product of a 'ks2' with a 'ks3' is a 'ks5'.
ks5[3, 2, 1, 1] + ks5[3, 2, 2] + (t+1)*ks5[3, 3, 1] + ks5[4, 1, 1, 1]
+ (t+2)*ks5[4, 2, 1] + (t^2+t+1)*ks5[4, 3] + (t+1)*ks5[5, 1, 1] + ks5[5, 2]

Sage Live

f = ks2[2,1].lift() * ks3[3,1].lift()
ks5 = Sym.kBoundedSubspace(5).kschur()
ks5(f) # The product of a 'ks2' with a 'ks3' is a 'ks5'.

For other technical reasons, taking powers of \(k\)-Schur functions is not implemented, even when the answer is still in the \(k\)-bounded subspace:

Sage

sage: ks2([1])^2
Traceback (most recent call last):
...
TypeError: unsupported operand parent(s) for ^: '2-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 2-Schur basis' and 'Integer Ring'

Python

>>> from sage.all import *
>>> ks2([Integer(1)])**Integer(2)
Traceback (most recent call last):
...
TypeError: unsupported operand parent(s) for ^: '2-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 2-Schur basis' and 'Integer Ring'

Sage Live

ks2([1])^2

Todo

Get rid of said technical “reasons”.

However, at \(t=1\), the product of \(k\)-Schur functions is in the span of the \(k\)-Schur functions always. Below are some examples at \(t=1\)

Sage

sage: ks3 = Sym.kBoundedSubspace(3, t=1).kschur(); ks3
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field with t=1 in the 3-Schur basis
sage: s = SymmetricFunctions(ks3.base_ring()).schur()
sage: ks3(s([3]))
ks3[3]
sage: s(ks3([3,2,1]))
s[3, 2, 1] + s[4, 1, 1] + s[4, 2] + s[5, 1]
sage: ks3([2,1])^2    # taking powers works for t=1
ks3[2, 2, 1, 1] + ks3[2, 2, 2] + ks3[3, 1, 1, 1]

Python

>>> from sage.all import *
>>> ks3 = Sym.kBoundedSubspace(Integer(3), t=Integer(1)).kschur(); ks3
3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field with t=1 in the 3-Schur basis
>>> s = SymmetricFunctions(ks3.base_ring()).schur()
>>> ks3(s([Integer(3)]))
ks3[3]
>>> s(ks3([Integer(3),Integer(2),Integer(1)]))
s[3, 2, 1] + s[4, 1, 1] + s[4, 2] + s[5, 1]
>>> ks3([Integer(2),Integer(1)])**Integer(2)    # taking powers works for t=1
ks3[2, 2, 1, 1] + ks3[2, 2, 2] + ks3[3, 1, 1, 1]

Sage Live

ks3 = Sym.kBoundedSubspace(3, t=1).kschur(); ks3
s = SymmetricFunctions(ks3.base_ring()).schur()
ks3(s([3]))
s(ks3([3,2,1]))
ks3([2,1])^2    # taking powers works for t=1

product_on_basis(left, right)[source]¶

Take the product of two \(k\)-Schur functions.

If \(t \neq 1\), then take the product by lifting to the Schur functions and then retracting back into the \(k\)-bounded subspace (if possible).

If \(t=1\), then the product calls _product_on_basis_via_rectangles().

INPUT:

left, right – partitions

OUTPUT: an element of the \(k\)-Schur functions

EXAMPLES:

Sage

sage: Sym = SymmetricFunctions(QQ['t'])
sage: ks3 = Sym.kschur(3,1)
sage: kH = Sym.khomogeneous(3)
sage: ks3(kH[2,1,1])
ks3[2, 1, 1] + ks3[2, 2] + ks3[3, 1]
sage: ks3([])*kH[2,1,1]
ks3[2, 1, 1] + ks3[2, 2] + ks3[3, 1]
sage: ks3([3,3,3,2,2,1,1,1])^2
ks3[3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1]
sage: ks3([3,3,3,2,2,1,1,1])*ks3([2,2,2,2,2,1,1,1,1])
ks3[3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1]
sage: ks3([2,2,1,1,1,1])*ks3([2,2,2,1,1,1,1])
ks3[2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1] + ks3[2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1]
sage: ks3[2,1]^2
ks3[2, 2, 1, 1] + ks3[2, 2, 2] + ks3[3, 1, 1, 1]
sage: ks3 = Sym.kschur(3)
sage: ks3[2,1]*ks3[2,1]
s[2, 2, 1, 1] + s[2, 2, 2] + s[3, 1, 1, 1] + 2*s[3, 2, 1] + s[3, 3] + s[4, 1, 1] + s[4, 2]

Python

>>> from sage.all import *
>>> Sym = SymmetricFunctions(QQ['t'])
>>> ks3 = Sym.kschur(Integer(3),Integer(1))
>>> kH = Sym.khomogeneous(Integer(3))
>>> ks3(kH[Integer(2),Integer(1),Integer(1)])
ks3[2, 1, 1] + ks3[2, 2] + ks3[3, 1]
>>> ks3([])*kH[Integer(2),Integer(1),Integer(1)]
ks3[2, 1, 1] + ks3[2, 2] + ks3[3, 1]
>>> ks3([Integer(3),Integer(3),Integer(3),Integer(2),Integer(2),Integer(1),Integer(1),Integer(1)])**Integer(2)
ks3[3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1]
>>> ks3([Integer(3),Integer(3),Integer(3),Integer(2),Integer(2),Integer(1),Integer(1),Integer(1)])*ks3([Integer(2),Integer(2),Integer(2),Integer(2),Integer(2),Integer(1),Integer(1),Integer(1),Integer(1)])
ks3[3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1]
>>> ks3([Integer(2),Integer(2),Integer(1),Integer(1),Integer(1),Integer(1)])*ks3([Integer(2),Integer(2),Integer(2),Integer(1),Integer(1),Integer(1),Integer(1)])
ks3[2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1] + ks3[2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1]
>>> ks3[Integer(2),Integer(1)]**Integer(2)
ks3[2, 2, 1, 1] + ks3[2, 2, 2] + ks3[3, 1, 1, 1]
>>> ks3 = Sym.kschur(Integer(3))
>>> ks3[Integer(2),Integer(1)]*ks3[Integer(2),Integer(1)]
s[2, 2, 1, 1] + s[2, 2, 2] + s[3, 1, 1, 1] + 2*s[3, 2, 1] + s[3, 3] + s[4, 1, 1] + s[4, 2]

Sage Live

Sym = SymmetricFunctions(QQ['t'])
ks3 = Sym.kschur(3,1)
kH = Sym.khomogeneous(3)
ks3(kH[2,1,1])
ks3([])*kH[2,1,1]
ks3([3,3,3,2,2,1,1,1])^2
ks3([3,3,3,2,2,1,1,1])*ks3([2,2,2,2,2,1,1,1,1])
ks3([2,2,1,1,1,1])*ks3([2,2,2,1,1,1,1])
ks3[2,1]^2
ks3 = Sym.kschur(3)
ks3[2,1]*ks3[2,1]

class sage.combinat.sf.new_kschur.kSplit(kBoundedRing)[source]¶

Bases: CombinatorialFreeModule

The \(k\)-split basis of the space of \(k\)-bounded-symmetric functions.

Fix k a positive integer and t an element of the base ring.

The \(k\)-split functions are a basis for the space of \(k\)-bounded symmetric functions that also have the bases

\[\{ Q'_{\lambda}[X;t] \}_{\lambda_1\le k} = \{ s_{\lambda}^{(k)}[X;t] \}_{\lambda_1 \le k}\]

where \(Q'_\lambda[X;t]\) are the Hall-Littlewood symmetric functions (using the notation of [MAC]) and \(s_{\lambda}^{(k)}[X;t]\) are the \(k\)-Schur functions. If \(t\) is not a root of unity, then

\[\{ s_{\lambda}[X/(1-t)] \}_{\lambda_1\le k}\]

is also a basis of this space.

The \(k\)-split basis has the property that \(Q'_\lambda[X;t]\) expands positively in the \(k\)-split basis and the \(k\)-split basis conjecturally expands positively in the \(k\)-Schur functions. See [LLMSSZ] p. 81.

The \(k\)-split basis is defined recursively using the Hall-Littlewood creation operator defined in [SZ2001]. If a partition la is the concatenation (as lists) of a partition mu and nu where mu has maximal hook length equal to k then ksp(la) = ksp(nu).hl_creation_operator(mu). If the hook length of la is less than or equal to k, then ksp(la) is equal to the Schur function indexed by la.

EXAMPLES:

Sage

sage: Symt = SymmetricFunctions(QQ['t'].fraction_field())
sage: kBS3 = Symt.kBoundedSubspace(3)
sage: ks3 = kBS3.kschur()
sage: ksp3 = kBS3.ksplit()
sage: ks3(ksp3[2,1,1])
ks3[2, 1, 1] + t*ks3[2, 2]
sage: ksp3(ks3[2,1,1])
ksp3[2, 1, 1] - t*ksp3[2, 2]
sage: ksp3[2,1]*ksp3[1]
s[2, 1, 1] + s[2, 2] + s[3, 1]
sage: ksp3[2,1].hl_creation_operator([1])
t*ksp3[2, 1, 1] + (-t^2+t)*ksp3[2, 2]

sage: Qp = Symt.hall_littlewood().Qp()
sage: ksp3(Qp[3,2,1])
ksp3[3, 2, 1] + t*ksp3[3, 3]

sage: kBS4 = Symt.kBoundedSubspace(4)
sage: ksp4 = kBS4.ksplit()
sage: ksp4(ksp3([3,2,1]))
ksp4[3, 2, 1] - t*ksp4[3, 3] + t*ksp4[4, 1, 1]
sage: ks4 = kBS4.kschur()
sage: ks4(ksp4[3,2,2,1])
ks4[3, 2, 2, 1] + t*ks4[3, 3, 1, 1] + t*ks4[3, 3, 2]

Python

>>> from sage.all import *
>>> Symt = SymmetricFunctions(QQ['t'].fraction_field())
>>> kBS3 = Symt.kBoundedSubspace(Integer(3))
>>> ks3 = kBS3.kschur()
>>> ksp3 = kBS3.ksplit()
>>> ks3(ksp3[Integer(2),Integer(1),Integer(1)])
ks3[2, 1, 1] + t*ks3[2, 2]
>>> ksp3(ks3[Integer(2),Integer(1),Integer(1)])
ksp3[2, 1, 1] - t*ksp3[2, 2]
>>> ksp3[Integer(2),Integer(1)]*ksp3[Integer(1)]
s[2, 1, 1] + s[2, 2] + s[3, 1]
>>> ksp3[Integer(2),Integer(1)].hl_creation_operator([Integer(1)])
t*ksp3[2, 1, 1] + (-t^2+t)*ksp3[2, 2]

>>> Qp = Symt.hall_littlewood().Qp()
>>> ksp3(Qp[Integer(3),Integer(2),Integer(1)])
ksp3[3, 2, 1] + t*ksp3[3, 3]

>>> kBS4 = Symt.kBoundedSubspace(Integer(4))
>>> ksp4 = kBS4.ksplit()
>>> ksp4(ksp3([Integer(3),Integer(2),Integer(1)]))
ksp4[3, 2, 1] - t*ksp4[3, 3] + t*ksp4[4, 1, 1]
>>> ks4 = kBS4.kschur()
>>> ks4(ksp4[Integer(3),Integer(2),Integer(2),Integer(1)])
ks4[3, 2, 2, 1] + t*ks4[3, 3, 1, 1] + t*ks4[3, 3, 2]

Sage Live

Symt = SymmetricFunctions(QQ['t'].fraction_field())
kBS3 = Symt.kBoundedSubspace(3)
ks3 = kBS3.kschur()
ksp3 = kBS3.ksplit()
ks3(ksp3[2,1,1])
ksp3(ks3[2,1,1])
ksp3[2,1]*ksp3[1]
ksp3[2,1].hl_creation_operator([1])
Qp = Symt.hall_littlewood().Qp()
ksp3(Qp[3,2,1])
kBS4 = Symt.kBoundedSubspace(4)
ksp4 = kBS4.ksplit()
ksp4(ksp3([3,2,1]))
ks4 = kBS4.kschur()
ks4(ksp4[3,2,2,1])