<<

WORKSHEET ON SYMMETRIC

DUE WEDNESDAY, APRIL 4

1. Elementary symmetric polynomials Definition 1.1. Let R be a ring (commutative, with unit). A f ∈ R[x1, . . . , xn] is symmetric if for any σ ∈ Sn, f(σ(x1), . . . , σ(xn)) = f(x1, . . . , xn)

Alternatively, define the action of Sn on R[x1, . . . , xn] via

σ ◦ f(x1, . . . , xn) = f(σ(x1), . . . , σ(xn)). The symmetric polynomials are invariants of this action - the polynomials for which the stabilizer is the entire group Sn. 17 17 17 16 16 16 Example 1.2. Let n = 3. Then x1 +x2 +x3 , x1x2 +x2x3 +x3x1 are symmetric 2 3 whereas x1x2x3 is not.

Consider the polynomial P (t) = (t − x1)(t − x2) ... (t − xn) in R[x1, . . . , xn][t]. Let n n−1 n−2 n P (t) = t − s1(x1, . . . , xn)t + s2(x1, . . . , xn)t − ... + (−1) sn(x1, . . . , xn)

Definition 1.3. Polynomials si(x1, . . . , xn), 1 ≤ i ≤ n, are called the elementary symmetric polynomials.

Observe that P (t) is clearly invariant under the action of Sn. Hence, the ele- mentary symmetric polynomials are, in fact, symmetric. Of course, one can write them down explicitly: s1 = x1 + ... + xn s2 = x1x2 + x1x3 + ... + xn−1xn ... sn = x1 . . . xn

n α α1 αn Let α = (α1, . . . , αn) ∈ Z≥0 and denote by x the x1 . . . xn . We’ll say that xα > xβ if α > β in lexicographical order. If f is a polynomial in R[x1, . . . , xn] then the multidegree of f is the degree α of the maximal monomial α in f. The degree of a monomial x is α1 + ... + αn. The f is the degree of its highest monomial. α P σ(α1) σ(αn) Observe that any symmetric polynomial containing x must contain x1 . . . xn . σ∈Sn Definition 1.4. A polynomial f is called homogeneous if f is a sum of of the same degree. Note that elementary symmetric polynomials are homogeneous and determined by a multidegree α which consists of only 0’s and 1’s. 1 2 DUE WEDNESDAY, APRIL 4

Theorem 1.5. (= Problem 1) Let f(x1, . . . , xn) ∈ R[x1, . . . , xn] be a symmetric polynomial. Then there exists a polynomial F ∈ R[x1, . . . , xn] such that f(x1, . . . , xn) = F (s1, . . . , sn). In other words, any symmetric polynomial can be expressed in terms of elemen- tary ones. 3 3 3 3 Example 1.6. x1 + x2 + x3 = s1 − 3s1s2 + 3s3.

Definition 1.7. We say that f1, . . . , fm ∈ R[x1, . . . , xn] are algebraically indepen- dent if there does not exist F ∈ R[x1, . . . , xm] such that F (f1, . . . , fm) = 0. Theorem 1.8. (=Problem 2). Prove that elementary symmetric polynomials on n variables are algebraically independent. The combination of these two results is sometimes referred to as the “Funda- mental Theorem of symmetric polynomials”: Theorem 1.9. The ring of invariants of the on n variables under the action of the symmetric group is a polynomial ring on the elementary symmetric polynomials: Sn R[x1, . . . , xn] ' R[s1, . . . , sn].

Sn R[x1, . . . , xn] is called the ring of symmetric polynomials.

2. Newton identities k k Let pk(x1, . . . , xn) = x1 +...+xn. By the previous theorem, pk can be expressed in terms of elementary symmetric polynomials. Explicit formulas can be obtained recursively from the Newton Identities:

k X i−1 ksk = (−1) sk−ipi i=1 Problem 3.

(1) Prove Newton identities. Assume s0 = 1. (2) Assume R is a field of characteristic 0. Show that {p1, . . . , pn} are al- gebraically independent generators of the ring of symmetric polynomials Sn R[x1, . . . , xn] .

Corollary 2.1. Let t1, . . . , tn be all roots (counted with multiplicity and, possibly, k k complex) of a polynomial of degree n with real coefficients. Then t1 + ... + tn is a for any k. Problem 4. Let A be a real-valued matrix. Show that the characteristic polyno- mial χ(A) can be expressed exclusively in terms of Tr(Ak) for k ≥ 1.