Localizability of the approximation method

12/19/2022
by   Jan Pich, et al.
0

We use the approximation method of Razborov to analyze the locality barrier which arose from the investigation of the hardness magnification approach to complexity lower bounds. Adapting a limitation of the approximation method obtained by Razborov, we show that in many cases it is not possible to combine the approximation method with typical (localizable) hardness magnification theorems to derive strong circuit lower bounds. In particular, one cannot use the approximation method to derive an extremely strong constant-depth circuit lower bound and then magnify it to an NC^1 lower bound for an explicit function. To prove this we show that lower bounds obtained by the approximation method are in many cases localizable in the sense that they imply lower bounds for circuits which are allowed to use arbitrarily powerful oracles with small fan-in.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/19/2019

Beyond Natural Proofs: Hardness Magnification and Locality

Hardness magnification reduces major complexity separations (such as EXP...
research
11/12/2018

Circuit Depth Reductions

The best known circuit lower bounds against unrestricted circuits remain...
research
11/07/2018

Static Data Structure Lower Bounds Imply Rigidity

We show that static data structure lower bounds in the group (linear) mo...
research
11/27/2020

Lower Bounds for Approximate Knowledge Compilation

Knowledge compilation studies the trade-off between succinctness and eff...
research
12/28/2020

Learning algorithms from circuit lower bounds

We revisit known constructions of efficient learning algorithms from var...
research
04/27/2018

Explicit lower bounds on strong quantum simulation

We consider the problem of strong (amplitude-wise) simulation of n-qubit...
research
09/30/2019

On the best constants in L^2 approximation

In this paper we provide explicit upper and lower bounds on the L^2n-wid...

Please sign up or login with your details

Forgot password? Click here to reset