Symmetric function
In mathematics, the theory of symmetric functions is part of the theory of polynomial equations, and also a substantial chapter of combinatorics. If P(x) is a polynomial with roots
- α1, α2, ... , αn,
- S(α1, α2, ... , αn)
For example
- S(X1, X2, ... , Xn)
- X1 + X2 + ... Xn,
- X1X2...Xn.
- P(x) = xn + an-1xn-1 + ... + a0 = (x - α1)(x - α2)...(x - αn),
Calling those sums σj for j = 1, 2, ... , n, a basic theorem states that any symmetric polynomial function S of n variables applied to the roots αi can be expressed as polynomial in the σj. In particular the symmetric polynomials of the roots lie in K.
The polynomial relations underlying that assertion are universal (independent of choice of P); and, if we work with the symmetric polynomials created from a monomial, we can eliminate dependence on K, too, to get formulae with integer coefficients. Putting this more algebraically, we can define a subring Symm(n) of Z[X1, X2, ... , Xn] consisting of the integral symmetric polynomials (those invariant under the action of the symmetric group on indices); and then assert that the formulae for σj, for which we retain the notation, are ring generators of Symm(n). What is more, they are independent generators (no algebraic relations hold), so that Symm(n) is abstractly also a polynomial ring on n generators. A great deal of attention was paid, in older algebra textbooks, to algorithmic procedures expressing the procedural content of this (which has been stated as an existence theorem but has computational content).
The most important single application is to the power sums α1k + α2k + ... + αnk, in terms of the aj. The formulae for doing this are attributed to Isaac Newton. They were encountered in K-theory too, where they underlie the Adams operations.
They also support the theory of the Newton polygon, part of the theory of ramification. In Newton's case the point was to work with aj in a formal power series ring; here passage to the algebraic closure is the theory of Puiseux expansions in fractional powers, and the Newton polygon is a device for computing the required exponents.