A Depth-Five Lower Bound for Iterated Matrix Multiplication

نویسندگان

  • Suman K. Bera
  • Amit Chakrabarti
چکیده

We prove that certain instances of the iterated matrix multiplication (IMM) family of polynomials with N variables and degree n require NΩ( √ n) gates when expressed as a homogeneous depth-five ΣΠΣΠΣ arithmetic circuit with the bottom fan-in bounded by N1/2−ε. By a depth-reduction result of Tavenas, this size lower bound is optimal and can be achieved by the weaker class of homogeneous depth-four ΣΠΣΠ circuits. Our result extends a recent result of Kumar and Saraf, who gave the same NΩ( √ n) lower bound for homogeneous depth-four ΣΠΣΠ circuits computing IMM. It is analogous to a recent result of Kayal and Saha, who gave the same lower bound for homogeneous ΣΠΣΠΣ circuits (over characteristic zero) with bottom fan-in at most N1−ε, for the harder problem of computing certain polynomials defined by Nisan–Wigderson designs. 1998 ACM Subject Classification F.1.3 Complexity Measures and Classes

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Depth-4 Lower Bounds, Determinantal Complexity: A Unified Approach

Tavenas has recently proved that any nO(1)-variate and degree n polynomial in VP can be computed by a depth-4 ΣΠ[O( p n)]ΣΠ[ p n] circuit of size 2O( p n log n) [Tav13]. So to prove VP 6= VNP, it is sufficient to show that an explicit polynomial ∈ VNP of degree n requires 2ω( p n log n) size depth-4 circuits. Soon after Tavenas’s result, for two different explicit polynomials, depth-4 circuit s...

متن کامل

Small-depth Multilinear Formula Lower Bounds for Iterated Matrix Multiplication, with Applications

The complexity of Iterated Matrix Multiplication is a central theme in Computational Complexity theory, as the problem is closely related to the problem of separating various complexity classes within P. In this paper, we study the algebraic formula complexity of multiplying d many 2×2 matrices, denoted IMMd, and show that the well-known divide-andconquer algorithm cannot be significantly impro...

متن کامل

On Circuit Complexity Classes and Iterated Matrix Multiplication

OF THE DISSERTATION On Circuit Complexity Classes and Iterated Matrix Multiplication by Fengming Wang Dissertation Director: Eric Allender In this thesis, we study small, yet important, circuit complexity classes within NC, such as ACC and TC. We also investigate the power of a closely related problem called Iterated Matrix Multiplication and its implications in low levels of algebraic complexi...

متن کامل

Depth-3 Arithmetic Formulae over Fields of Characteristic Zero

In this paper we prove quadratic lower bounds for depth-3 arithmetic circuits over fields of characteristic zero. Such bounds are obtained for the elementary symmetric functions, the (trace of) iterated matrix multiplication, and the determinant. As corollaries we get the first nontrivial lower bounds for computing polynomials of constant degree, and a gap between the power of depth-3 arithmeti...

متن کامل

On the Limits of Depth Reduction at Depth 3 Over Small Finite Fields

In a surprising recent result, Gupta et.al. [GKKS13b] have proved that over Q any nvariate and n-degree polynomial in VP can also be computed by a depth three ΣΠΣ circuit of size 2 √ n log . Over fixed-size finite fields, Grigoriev and Karpinski proved that any ΣΠΣ circuit that computes the determinant (or the permanent) polynomial of a n× n matrix must be of size 2. In this paper, for an expli...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015