-Schur Functions#
- class sage.combinat.sf.new_kschur.KBoundedSubspace(Sym, k, t='t')#
Bases:
UniqueRepresentation
,Parent
This class implements the subspace of the ring of symmetric functions spanned by
over the base ring . When , this space is in fact a subring of the ring of symmetric functions generated by the complete homogeneous symmetric functions for .EXAMPLES:
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
The
-Schur function basis can be constructed as follows:sage: ks = KB.kschur(); ks 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis
- K_kschur()#
Return the
-bounded basis called the 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: 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
- khomogeneous()#
The homogeneous basis of this algebra.
See also
EXAMPLES:
sage: kh3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).khomogeneous() sage: TestSuite(kh3).run()
- kschur()#
The
-Schur basis of this algebra.See also
EXAMPLES:
sage: ks3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).kschur() sage: TestSuite(ks3).run()
- ksplit()#
The
-split basis of this algebra.See also
EXAMPLES:
sage: ksp3 = SymmetricFunctions(QQ).kBoundedSubspace(3,1).ksplit() sage: TestSuite(ksp3).run()
- realizations()#
A list of realizations of this algebra.
EXAMPLES:
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]
- retract(sym)#
Return the retract of
sym
from the ring of symmetric functions toself
.INPUT:
sym
– a symmetric function
OUTPUT:
the analogue of the symmetric function in the
-bounded subspace (if possible)
EXAMPLES:
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
- class sage.combinat.sf.new_kschur.KBoundedSubspaceBases(base, t='t')#
Bases:
Category_realization_of_parent
The category of bases for the
-bounded subspace of symmetric functions.- class ElementMethods#
Bases:
object
- expand(*args, **kwargs)#
Return the monomial expansion of
self
in variables.INPUT:
n
– positive integer
OUTPUT: monomial expansion of
self
in variablesEXAMPLES:
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
- hl_creation_operator(nu, t=None)#
This is the vertex operator that generalizes Jing’s operator.
It is a linear operator that raises the degree by
. This creation operator is a t-analogue of multiplication bys(nu)
.See also
Proposition 5 in [SZ2001].
INPUT:
nu
– a partition or a list of integerst
– (default:None
, in which caset
is used) an element of the base ring
EXAMPLES:
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]
- is_schur_positive(*args, **kwargs)#
Return whether
self
is Schur positive.EXAMPLES:
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
- omega()#
Return the
operator onself
.At
, maps the -Schur function to , where is the -conjugate of the partition .See also
For generic
, sends to , where is the size of the core of minus the size of . Most of the time, this result is not in the -bounded subspace.See also
EXAMPLES:
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
- omega_t_inverse()#
Return the map
composed with onself
.Unlike the map
omega()
, the result ofomega_t_inverse()
lives in the -bounded subspace and hence will return an element even for generic . For ,omega()
andomega_t_inverse()
return the same result.EXAMPLES:
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]
- scalar(x, zee=None)#
Return standard scalar product between
self
andx
.INPUT:
x
– element of the ring of symmetric functions over the same base ring asself
zee
– an optional function on partitions giving the value for the scalar product between and (default is to use the standardzee()
function)
See also
EXAMPLES:
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
- class ParentMethods#
Bases:
object
- an_element()#
Return an element of
self
.EXAMPLES:
sage: SymmetricFunctions(QQ['t']).kschur(3).an_element() 2*ks3[] + 2*ks3[1] + 3*ks3[2]
- antipode(element)#
Return the antipode on
self
by lifting to the space of symmetric functions, computing the antipode, and then converting toself.parent()
. This is only the antipode for and for other values of the result may not be in the space where the -Schur functions live.INPUT:
element
– an element in a basis of the ring of symmetric functions
EXAMPLES:
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]
- coproduct(element)#
Return the coproduct operation on
element
.The coproduct is first computed on the homogeneous basis if
and on the Hall-LittlewoodQp
basis otherwise. The result is computed then converted to the tensor squared ofself.parent()
.INPUT:
element
– an element in a basis of the ring of symmetric functions
EXAMPLES:
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[]
- counit(element)#
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: 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
- degree_on_basis(b)#
Return the degree of the basis element indexed by
.INPUT:
b
– a partition
EXAMPLES:
sage: ks3 = SymmetricFunctions(QQ).kschur(3,1) sage: ks3.degree_on_basis(Partition([3,2])) 5
- one_basis()#
Return the basis element indexing
1
.EXAMPLES:
sage: ks3 = SymmetricFunctions(QQ).kschur(3,1) sage: ks3.one() # indirect doctest ks3[]
- transition_matrix(other, n)#
Return the degree
n
transition matrix betweenself
andother
.INPUT:
other
– a basis in the ring of symmetric functionsn
– a positive integer
The entry in the
row and column is the coefficient obtained by writing the element of the basis ofself
in terms of the basisother
, and extracting the coefficient.EXAMPLES:
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]
- super_categories()#
The super categories of
self
.EXAMPLES:
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]
- class sage.combinat.sf.new_kschur.K_kSchur(kBoundedRing)#
Bases:
CombinatorialFreeModule
This class implements the basis of the
-bounded subspace called the 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)#
Return the K-
-Schur function, as embedded inside the affine zero Hecke algebra.INPUT:
la
– A -bounded Partition
OUTPUT:
An element of the affine zero Hecke algebra.
EXAMPLES:
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
- homogeneous_basis_noncommutative_variables_zero_Hecke(la)#
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 -bounded partition
OUTPUT:
An element of the affine zero Hecke algebra.
EXAMPLES:
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
- lift(x)#
Return the lift of a
-bounded symmetric function.INPUT:
x
– An expression in the K- -Schur basis. Equivalently,x
can be a -bounded partition (thenx
corresponds to the basis element indexed byx
)
OUTPUT:
A symmetric function.
EXAMPLES:
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)
- product(x, y)#
Return the product of the two K-
-Schur functions.INPUT:
x
,y
– elements of the -bounded subspace, in the K- -Schur basis.
OUTPUT:
An element of the
-bounded subspace, in the K- -Schur basis
EXAMPLES:
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]
- retract(x)#
Return the retract of a symmetric function.
INPUT:
x
– A symmetric function.
OUTPUT:
A
-bounded symmetric function in the K- -Schur basis.
EXAMPLES:
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[]
- class sage.combinat.sf.new_kschur.kHomogeneous(kBoundedRing)#
Bases:
CombinatorialFreeModule
Space of
-bounded homogeneous symmetric functions.EXAMPLES:
sage: Sym = SymmetricFunctions(QQ) sage: kH = Sym.khomogeneous(3) sage: kH[2] h3[2] sage: kH[2].lift() h[2]
- class sage.combinat.sf.new_kschur.kSchur(kBoundedRing)#
Bases:
CombinatorialFreeModule
Space of
-Schur functions.EXAMPLES:
sage: Sym = SymmetricFunctions(QQ['t']) sage: KB = Sym.kBoundedSubspace(3); KB 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field
The
-Schur function basis can be constructed as follows:sage: ks3 = KB.kschur(); ks3 3-bounded Symmetric Functions over Univariate Polynomial Ring in t over Rational Field in the 3-Schur basis
We can convert to any basis of the ring of symmetric functions and, whenever it makes sense, also the other way round:
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]
-Schur functions are indexed by partitions with first part . Constructing a -Schur function for a larger partition raises an error: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)
Similarly, attempting to convert a function that is not in the linear span of the
-Schur functions raises an error:sage: ks3(s([4])) Traceback (most recent call last): ... ValueError: s[4] is not in the image
Note that the product of
-Schur functions is not guaranteed to be in the space spanned by the -Schurs. In general, we only have that a -Schur times a -Schur function is in the -bounded subspace. The multiplication of two -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 -bounded subspace, then the result is cast into the -Schur basis: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]
Because the target space of the product of a
-Schur and a -Schur has several possibilities, the product of a -Schur and -Schur function is not implemented for distinct and . Let us show how to get around this ‘manually’: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'
The workaround:
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]
or:
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]
For other technical reasons, taking powers of
-Schur functions is not implemented, even when the answer is still in the -bounded subspace: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'
Todo
Get rid of said technical “reasons”.
However, at
, the product of -Schur functions is in the span of the -Schur functions always. Below are some examples atsage: 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]
- product_on_basis(left, right)#
Take the product of two
-Schur functions.If
, then take the product by lifting to the Schur functions and then retracting back into the -bounded subspace (if possible).If
, then the product calls_product_on_basis_via_rectangles()
.INPUT:
left
,right
– partitions
OUTPUT:
an element of the
-Schur functions
EXAMPLES:
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]
- class sage.combinat.sf.new_kschur.kSplit(kBoundedRing)#
Bases:
CombinatorialFreeModule
The
-split basis of the space of -bounded-symmetric functionsFix
k
a positive integer andt
an element of the base ring.The
-split functions are a basis for the space of -bounded symmetric functions that also have the baseswhere
are the Hall-Littlewood symmetric functions (using the notation of [MAC]) and are the -Schur functions. If is not a root of unity, thenis also a basis of this space.
The
-split basis has the property that expands positively in the -split basis and the -split basis conjecturally expands positively in the -Schur functions. See [LLMSSZ] p. 81.The
-split basis is defined recursively using the Hall-Littlewood creation operator defined in [SZ2001]. If a partitionla
is the concatenation (as lists) of a partitionmu
andnu
wheremu
has maximal hook length equal tok
thenksp(la) = ksp(nu).hl_creation_operator(mu)
. If the hook length ofla
is less than or equal tok
, thenksp(la)
is equal to the Schur function indexed byla
.EXAMPLES:
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]