In mathematics, Schur polynomials, named after Issai Schur, are certain symmetric polynomials in n variables, indexed by partitions, that generalize the elementary symmetric polynomials and the complete homogeneous symmetric polynomials. In representation theory they are the characters of polynomial irreducible representations of the general linear groups. The Schur polynomials form a linear basis for the space of all symmetric polynomials. Any product of Schur polynomials can be written as a linear combination of Schur polynomials with non-negative integral coefficients; the values of these coefficients is given combinatorially by the Littlewood–Richardson rule. More generally, skew Schur polynomials are associated with pairs of partitions and have similar properties to Schur polynomials.
Schur polynomials are indexed by integer partitions. Given a partition λ = (λ1, λ2, …,λn), where λ1 ≥ λ2 ≥ … ≥ λn, and each λj is a non-negative integer, the functions
Since they are alternating, they are all divisible by the Vandermonde determinant
This is a symmetric function because the numerator and denominator are both alternating, and a polynomial since all alternating polynomials are divisible by the Vandermonde determinant.
The degree d Schur polynomials in n variables are a linear basis for the space of homogeneous degree d symmetric polynomials in n variables. For a partition λ = (λ1, λ2, ..., λn), the Schur polynomial is a sum of monomials,
where the summation is over all semistandard Young tableaux T of shape λ. The exponents t1, ..., tn give the weight of T, in other words each ti counts the occurrences of the number i in T. This can be shown to be equivalent to the definition from the first Giambelli formula using the Lindström–Gessel–Viennot lemma (as outlined on that page).
The Kostka numbers Kλμ are given by the number of semi-standard Young tableaux of shape λ and weight μ.
The first Jacobi−Trudi formula expresses the Schur polynomial as a determinant in terms of the complete homogeneous symmetric polynomials,
where hi := s(i).
The second Jacobi-Trudi formula expresses the Schur polynomial as a determinant in terms of the elementary symmetric polynomials,
where ei := s(1i) and λ' is the conjugate partition to λ.
In both identities, functions with negative subscripts are defined to be zero.
Another determinantal identity is Giambelli's formula, which expresses the Schur function for an arbitrary partition in terms of those for the hook partitions contained within the Young diagram. In Frobenius' notation, the partition is denoted
where, for each diagonal element in position ii, ai denotes the number of boxes to the right in the same row and bi denotes the number of boxes beneath it in the same column (the arm and leg lengths, respectively).
The Giambelli identity expresses the Schur function corresponding to this partition as the determinant
of those for hook partitions.
The Cauchy identity for Schur functions (now in infinitely many variables), and its dual state that
where the sum is taken over all partitions λ, and , denote the complete symmetric functions and elementary symmetric functions, respectively. If the sum is taken over products of Schur polynomials in variables , the sum includes only partitions of length since otherwise the Schur polynomials vanish.
There are many generalizations of these identities to other families of symmetric functions. For example, Macdonald polynomials, Schubert polynomials and Grothendieck polynomials admit Cauchy-like identities.
The Schur polynomial can also be computed via a specialization of a formula for Hall–Littlewood polynomials,
where is the subgroup of permutations such that for all i, and w acts on variables by permuting indices.
The Murnaghan–Nakayama rule expresses a product of a power-sum symmetric function with a Schur polynomial, in terms of Schur polynomials:
where the sum is over all partitions μ such that μ/λ is a rim-hook of size r and ht(μ/λ) is the number of rows in the diagram μ/λ.
The Littlewood–Richardson coefficients depend on three partitions, say , of which and describe the Schur functions being multiplied, and gives the Schur function of which this is the coefficient in the linear combination; in other words they are the coefficients such that
The Littlewood–Richardson rule states that is equal to the number of Littlewood–Richardson tableaux of skew shape and of weight .
Pieri's formula is a special case of the Littlewood-Richardson rule, which expresses the product in terms of Schur polynomials. The dual version expresses in terms of Schur polynomials.
Evaluating the Schur polynomial sλ in (1, 1, ..., 1) gives the number of semi-standard Young tableaux of shape λ with entries in 1, 2, ..., n. One can show, by using the Weyl character formula for example, that
The following extended example should help clarify these ideas. Consider the case n = 3, d = 4. Using Ferrers diagrams or some other method, we find that there are just four partitions of 4 into at most three parts. We have
and so on, where is the Vandermonde determinant . Summarizing:
Every homogeneous degree-four symmetric polynomial in three variables can be expressed as a unique linear combination of these four Schur polynomials, and this combination can again be found using a Gröbner basis for an appropriate elimination order. For example,
is obviously a symmetric polynomial which is homogeneous of degree four, and we have
The Schur polynomials occur in the representation theory of the symmetric groups, general linear groups, and unitary groups. The Weyl character formula implies that the Schur polynomials are the characters of finite-dimensional irreducible representations of the general linear groups, and helps to generalize Schur's work to other compact and semisimple Lie groups.
Several expressions arise for this relation, one of the most important being the expansion of the Schur functions sλ in terms of the symmetric power functions . If we write χλ
ρ for the character of the representation of the symmetric group indexed by the partition λ evaluated at elements of cycle type indexed by the partition ρ, then
where ρ = (1r1, 2r2, 3r3, ...) means that the partition ρ has rk parts of length k.
A proof of this can be found in R. Stanley's Enumerative Combinatorics Volume 2, Corollary 7.17.5.
The integers χλ
ρ can be computed using the Murnaghan–Nakayama rule.
Due to the connection with representation theory, a symmetric function which expands positively in Schur functions are of particular interest. For example, the skew Schur functions expand positively in the ordinary Schur functions, and the coefficients are Littlewood–Richardson coefficients.
A special case of this is the expansion of the complete homogeneous symmetric functions hλ in Schur functions. This decomposition reflects how a permutation module is decomposed into irreducible representations.
There are several approaches to prove Schur positivity of a given symmetric function F. If F is described in a combinatorial manner, a direct approach is to produce a bijection with semi-standard Young tableaux. The Edelman–Green correspondence and the Robinson–Schensted–Knuth correspondence are examples of such bijections.
A bijection with more structure is a proof using so called crystals. This method can be described as defining a certain graph structure described with local rules on the underlying combinatorial objects.
A similar idea is the notion of dual equivalence. This approach also uses a graph structure, but on the objects representing the expansion in the fundamental quasisymmetric basis. It is closely related to the RSK-correspondence.
Skew Schur functions sλ/μ depend on two partitions λ and μ, and can be defined by the property
Here, the inner product is the Hall inner product, for which the Schur polynomials form an orthonormal basis.
Similar to the ordinary Schur polynomials, there are numerous ways to compute these. The corresponding Jacobi-Trudi identities are
There is also a combinatorial interpretation of the skew Schur polynomials, namely it is a sum over all semi-standard Young tableaux (or column-strict tableaux) of the skew shape .
The skew Schur polynomials expands positively in Schur polynomials. A rule for the coefficients is given by the Littlewood-Richardson rule.
The double Schur polynomials can be seen as a generalization of the shifted Schur polynomials. These polynomials are also closely related to the factorial Schur polynomials. Given a partition λ, and a sequence a1, a2,… one can define the double Schur polynomial sλ(x || a) as
A combinatorial rule for the Littlewood-Richardson coefficients (depending on the sequence a) was given by A.I Molev. In particular, this implies that the shifted Schur polynomials have non-negative Littlewood-Richardson coefficients.
The shifted Schur polynomials s*λ(y) can be obtained from the double Schur polynomials by specializing ai = −i and yi = xi + i.
The double Schur polynomials are special cases of the double Schubert polynomials.
The factorial Schur polynomials may be defined as follows. Given a partition λ, and a doubly infinite sequence …,a−1, a0, a1, … one can define the factorial Schur polynomial sλ(x|a) as
There is also a determinant formula,
The double Schur polynomials and the factorial Schur polynomials in n variables are related via the identity sλ(x||a) = sλ(x|u) where an−i+1 = ui.
There are numerous generalizations of Schur polynomials: