Elementary symmetric polynomial Created 2026-09-24 Updated 2026-10-14
The th elementary symmetric polynomial adds every product obtained by choosing distinct positions from :
The conventions are and for . The positions must be distinct, but their values may coincide. Each permutation of the variables merely rearranges the summands, so this is a symmetric polynomial.
For , , , we obtain , , and . Expanding the product gives
In general, . Thus the coefficients of a monic polynomial collect elementary symmetric polynomials of its roots of a polynomial, with alternating signs. These are the Vieta formulas.[ref]
Figure 1.
Choosing one, two, or three root positions gives the coefficients of a cubic
. For the stipulated roots , node values add to , edge products add to , and the product of all three positions is . These elementary symmetric polynomials enter the monic polynomial with alternating signs. The graph is an original illustration of the exact finite calculation. Details.
The boundary can recover more than a count. Under the hypotheses of the argument principle, let be a holomorphic function on a neighborhood of the contour and its interior. If the enclosed zeros of a function are with zero multiplicities and the enclosed poles are of orders , then
Multiplying the local logarithmic derivative by changes its residue from to , or from to . The residue theorem then gives the identity. Choosing recovers the argument principle; choosing gives the sum of the enclosed zero locations minus the sum of the enclosed pole locations, both counted with zero multiplicities or pole orders.[ref]
For the rational function in argument principle for a rational function, the integral is . Adding the known pole location back gives a zero-location sum of . Dividing by the zero count two gives the arithmetic mean of the enclosed zeros, with multiplicity, as . Choosing similarly gives the difference between the power-sum symmetric polynomials evaluated on the enclosed zero and pole locations, repeating each location according to its multiplicity or order. These identities let boundary information constrain both the number and aggregate locations of enclosed zeros of a function.