Arrow Research search
Back to STOC

STOC 2002

On the complexity of matrix product

Conference Paper Accepted Paper Algorithms and Complexity · Theoretical Computer Science

Abstract

We prove a lower bound of Ω( m 2 log m ) for the size of any arithmetic circuit for the product of two matrices, over the real or complex numbers, as long as the circuit doesn't use products with field elements of absolute value larger than 1 (where m x m is the size of each matrix). That is, our lower bound is super-linear in the number of inputs and is applied for circuits that use addition gates, product gates and products with field elements of absolute value up to 1. More generally, for any c = c ( m ) ρ 1, we obtain a lower bound of Ω( m 2 log 2c m ) for the size of any arithmetic circuit for the product of two matrices (over the real or complex numbers), as long as the circuit doesn't use products with field elements of absolute value larger than c . We also prove size-depth tradeoffs for such circuits.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
439121923444208599