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- research-articleApril 2019
Lower bounds for Sum and Sum of Products of Read-once Formulas
ACM Transactions on Computation Theory (TOCT), Volume 11, Issue 2Article No.: 10, Pages 1–27https://doi.org/10.1145/3313232We study limitations of polynomials computed by depth-2 circuits built over read-once formulas (ROFs). In particular:
• We prove a 2Ω(n) lower bound for the sum of ROFs computing the 2n-variate polynomial in VP defined by Raz and Yehudayoff [21].
• We ...
- research-articleMay 2012
Separating multilinear branching programs and formulas
STOC '12: Proceedings of the forty-fourth annual ACM symposium on Theory of computingPages 615–624https://doi.org/10.1145/2213977.2214034This work deals with the power of linear algebra in the context of multilinear computation. By linear algebra we mean algebraic branching programs (ABPs) which are known to be computationally equivalent to two basic tools in linear algebra: iterated ...
- research-articleApril 2009
Multi-linear formulas for permanent and determinant are of super-polynomial size
Journal of the ACM (JACM), Volume 56, Issue 2Article No.: 8, Pages 1–17https://doi.org/10.1145/1502793.1502797An arithmetic formula is multilinear if the polynomial computed by each of its subformulas is multilinear. We prove that any multilinear arithmetic formula for the permanent or the determinant of an n × n matrix is of size super-polynomial in n. ...
- ArticleJune 2004
Multi-linear formulas for permanent and determinant are of super-polynomial size
STOC '04: Proceedings of the thirty-sixth annual ACM symposium on Theory of computingPages 633–641https://doi.org/10.1145/1007352.1007353An arithmetic formula is multi-linear if the polynomial computed by each of its sub-formulas is multi-linear. We prove that any multi-linear arithmetic formula for the permanent or the determinant of an n x n matrix is of size super-polynomial in ...