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Super-polynomial lower bounds for depth-4 homogeneous arithmetic formulas

Published: 31 May 2014 Publication History

Abstract

We show that any depth-4 homogeneous arithmetic formula computing the Iterated Matrix Multiplication polynomial IMMn,d -- the (1, 1)-th entry of the product of d generic n × n matrices -- has size nΩ(log n), if d = Ω (log2 n). More-over, any depth-4 homogeneous formula computing the determinant polynomial Detn -- the determinant of a generic n × n matrix -- has size nΩ(log n).

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References

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Cited By

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  • (2022)Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS52979.2021.00083(804-814)Online publication date: Feb-2022
  • (2021)On Computing Multilinear Polynomials Using Multi-r-ic Depth Four CircuitsACM Transactions on Computation Theory10.1145/346095213:3(1-21)Online publication date: 18-Jul-2021
  • (2019)Lower bounds for Sum and Sum of Products of Read-once FormulasACM Transactions on Computation Theory10.1145/331323211:2(1-27)Online publication date: 2-Apr-2019
  • Show More Cited By

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Published In

cover image ACM Conferences
STOC '14: Proceedings of the forty-sixth annual ACM symposium on Theory of computing
May 2014
984 pages
ISBN:9781450327107
DOI:10.1145/2591796
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2014

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Author Tags

  1. arithmetic circuits
  2. lower bounds
  3. shifted partial derivatives

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  • Research-article

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STOC '14
Sponsor:
STOC '14: Symposium on Theory of Computing
May 31 - June 3, 2014
New York, New York

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STOC '14 Paper Acceptance Rate 91 of 319 submissions, 29%;
Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

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Cited By

View all
  • (2022)Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS52979.2021.00083(804-814)Online publication date: Feb-2022
  • (2021)On Computing Multilinear Polynomials Using Multi-r-ic Depth Four CircuitsACM Transactions on Computation Theory10.1145/346095213:3(1-21)Online publication date: 18-Jul-2021
  • (2019)Lower bounds for Sum and Sum of Products of Read-once FormulasACM Transactions on Computation Theory10.1145/331323211:2(1-27)Online publication date: 2-Apr-2019
  • (2016)Lower Bounds for Depth-Three Arithmetic Circuits with small bottom faninComputational Complexity10.1007/s00037-016-0132-025:2(419-454)Online publication date: 1-Jun-2016
  • (2015)A depth-five lower bound for iterated matrix multiplicationProceedings of the 30th Conference on Computational Complexity10.5555/2833227.2833236(183-197)Online publication date: 17-Jun-2015
  • (2015)Lower bounds for depth three arithmetic circuits with small bottom faninProceedings of the 30th Conference on Computational Complexity10.5555/2833227.2833235(158-182)Online publication date: 17-Jun-2015
  • (2015)Deterministic Divisibility Testing via Shifted Partial DerivativesProceedings of the 2015 IEEE 56th Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS.2015.35(451-465)Online publication date: 17-Oct-2015
  • (2015)The Shifted Partial Derivative Complexity of Elementary Symmetric PolynomialsMathematical Foundations of Computer Science 201510.1007/978-3-662-48054-0_27(324-335)Online publication date: 11-Aug-2015

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