On derandomization and average-case complexity of monotone functions

نویسندگان

  • George Karakostas
  • Jeff Kinne
  • Dieter van Melkebeek
چکیده

We investigate whether circuit lower bounds for monotone circuits can be used to derandomize randomized monotone circuits. We show that, in fact, any derandomization of randomized monotone computations would derandomize all randomized computations, whether monotone or not. We prove similar results in the settings of pseudorandom generators and average-case hard functions – that a pseudorandom generator secure against monotone circuits is also secure with somewhat weaker parameters against general circuits, and that an average-case hard function for monotone circuits is also hard with somewhat weaker parameters for general circuits.

برای دانلود 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

General Pseudo-random Generators from Weaker Models of Computation

The construction of pseudo-random generators (PRGs) has been based on strong assumptions like the existence of one-way functions or exponential lower bounds for the circuit complexity of Boolean functions. Given our current lack of satisfactory progress towards proving these assumptions, we study the implications of constructing PRGs for weaker models of computation to the derandomization of ge...

متن کامل

Towards efficient constructions of hitting sets that derandomize BPP

A subset H f0; 1g n is a Hitting Set for a class R of boolean functions with n inputs if, for any function f 2 R such that Pr (f = 1) (where 2 (0; 1) is some xed value), there exists an element ~ h 2 H such that f (~ h) = 1. The eecient construction of Hitting Sets for non trivial classes of boolean functions is a fundamental problem in the theory of derandomization. Our paper presents a new me...

متن کامل

Derandomization for k-submodular maximization

Submodularity is one of the most important property of combinatorial optimization, and k-submodularity is a generalization of submodularity. Maximization of a k-submodular function is NP-hard, and approximation algorithm has been studied. For monotone k-submodular functions, [Iwata, Tanigawa, and Yoshida 2016] gave k/(2k−1)-approximation algorithm. In this paper, we give a deterministic algorit...

متن کامل

Worst-Case Hardness Suffices for Derandomization: A New Method for Hardness-Randomness Trade-Offs

Up to now, the known derandomization methods for BPP have been derived assuming the existence of an ExP function that has a "hard" average-case circuit complexity. In this paper we instead present the first construction of a de-randomization method for BOP that relies on the existence of an EXP function that is hard only in the worst-case. The construction is based on a new method that departs ...

متن کامل

Guided inference of nested monotone Boolean functions

This paper addresses the problem of minimizing the average query complexity of inferring a pair of nested monotone Boolean functions defined on {0,1} using a pair of oracles. Here, nested refers to the case when one of the functions is always greater than or equal to the other function. It is shown that the nested case is equivalent to inferring the single function case defined on {0,1} when ac...

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

برای دانلود 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

عنوان ژورنال:
  • Theor. Comput. Sci.

دوره 434  شماره 

صفحات  -

تاریخ انتشار 2012