English

Homogeneous formulas and symmetric polynomials

Computational Complexity 2009-07-16 v1

Abstract

We investigate the arithmetic formula complexity of the elementary symmetric polynomials S(k,n). We show that every multilinear homogeneous formula computing S(k,n) has size at least k^(Omega(log k))n, and that product-depth d multilinear homogeneous formulas for S(k,n) have size at least 2^(Omega(k^{1/d}))n. Since S(n,2n) has a multilinear formula of size O(n^2), we obtain a superpolynomial separation between multilinear and multilinear homogeneous formulas. We also show that S(k,n) can be computed by homogeneous formulas of size k^(O(log k))n, answering a question of Nisan and Wigderson. Finally, we present a superpolynomial separation between monotone and non-monotone formulas in the noncommutative setting, answering a question of Nisan.

Cite

@article{arxiv.0907.2621,
  title  = {Homogeneous formulas and symmetric polynomials},
  author = {Pavel Hrubes and Amir Yehudayoff},
  journal= {arXiv preprint arXiv:0907.2621},
  year   = {2009}
}
R2 v1 2026-06-21T13:25:15.772Z