2003Unpublished venueRequires access

Pseudo-random generators and structure of complete degrees

M. Agrawal

Open publisher page 25 citations

Abstract

It is shown that, if there exist sets in E (the exponential complexity class) that require 2/sup /spl Omega/(n)/-sized circuits, then sets that are hard for class P (the polynomial complexity class) and above, under 1-1 reductions, are also hard under 1-1 size-increasing reductions. Under the assumption of the hardness of solving the RSA (Rivest-Shamir-Adleman, 1978) problem or the discrete log problem, it is shown that sets that are hard for class NP (nondeterministic polynomial) and above, under many-1 reductions, are also hard under (non-uniform) 1-1 and size-increasing reductions.

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What this paper is about

It is shown that, if there exist sets in E (the exponential complexity class) that require 2/sup /spl Omega/(n)/-sized circuits, then sets that are hard for class P (the polynomial complexity class) and above, under 1-1 reductions, are also hard under 1-1 size-increasing reductions. Under the assumption of the hardness of solving the RSA (Rivest-Shamir-Adleman, 1978) problem or the discrete log problem, it is shown that sets that are hard for class NP (nondeterministic polynomial) and above, under many-1 reductions, are also hard under (non-uniform) 1-1 and size-increasing reductions.

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OpenAlex reports 25 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

It is shown that, if there exist sets in E (the exponential complexity class) that require 2/sup /spl Omega/(n)/-sized circuits, then sets that are hard for class P (the polynomial complexity class) and above, under 1-1 reductions, are also hard under 1-1 size-increasing reductions. Under the assumption of the hardness of solving the RSA (Rivest-Shamir-Adleman, 1978) problem or the discrete log problem, it is shown that sets that are hard for class NP (nondeterministic polynomial) and above, under many-1 reductions, are also hard under (non-uniform) 1-1 and size-increasing reductions.

Key concepts: Nondeterministic algorithm, Complexity class, Class (philosophy), Discrete mathematics, Combinatorics, Mathematics, Exponential function, Computational complexity theory

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