This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR conjecture. Namely, we prove that witnesses for membership in any NP language can be verified with a constant number of accesses, and with an error probability exponentially small in the number of bits accessed, as long as this number is at most for any constant. (Compare with the BGLR conjecture, claiming the same for any). Our results are in fact stronger, implying that the constant-depend Gap-Quadratic-Solvability problem with! field-size is NP-hard. We show that given a system of quadratic polynomials each depending on a constant number of variables ranging over a " ( # "$#&%' ( ! field for any) * constant), it is NP-ha...
The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time w...
It is known that bounded error probabilistic polynomial time (BPP) languages are accepted by polynom...
Proving that there are problems in PNP that require boolean circuits of super-linear size is a major...
This paper establishes a new characterization of NP in terms of PCP, being the first such exact char...
This paper introduces a new consistency-test for a class of codes, referred to as geometric-codes, a...
The PCP theorem (Arora et. al., J. ACM 45(1,3)) says that every NP-proof can be encoded to another p...
NP = PCP(log n; 1) and related results crucially depend upon the close connection between the probab...
The error probability of Probabilistically Checkable Proof (PCP) systems can be made exponentially s...
Approximation algorithms have been studied to cope with computationally hard combinatorial problems ...
We show that there exist properties that are maximally hard for testing, while still admitting PCPPs...
The definition of the class NP [Coo71, Lev73] highlights the problem of verification of proofs as on...
We show a construction of a PCP with both sub-constant error and almost-linear size. Specifically, f...
We give constructions of probabilistically checkable proofs (PCPs) of length n · polylog n proving s...
A Zero-Knowledge PCP (ZK-PCP) is a randomized PCP such that the view of any (perhaps cheating) effic...
We show that every language in NP has a probabilistically checkable proof of proximity (i.e., proofs...
The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time w...
It is known that bounded error probabilistic polynomial time (BPP) languages are accepted by polynom...
Proving that there are problems in PNP that require boolean circuits of super-linear size is a major...
This paper establishes a new characterization of NP in terms of PCP, being the first such exact char...
This paper introduces a new consistency-test for a class of codes, referred to as geometric-codes, a...
The PCP theorem (Arora et. al., J. ACM 45(1,3)) says that every NP-proof can be encoded to another p...
NP = PCP(log n; 1) and related results crucially depend upon the close connection between the probab...
The error probability of Probabilistically Checkable Proof (PCP) systems can be made exponentially s...
Approximation algorithms have been studied to cope with computationally hard combinatorial problems ...
We show that there exist properties that are maximally hard for testing, while still admitting PCPPs...
The definition of the class NP [Coo71, Lev73] highlights the problem of verification of proofs as on...
We show a construction of a PCP with both sub-constant error and almost-linear size. Specifically, f...
We give constructions of probabilistically checkable proofs (PCPs) of length n · polylog n proving s...
A Zero-Knowledge PCP (ZK-PCP) is a randomized PCP such that the view of any (perhaps cheating) effic...
We show that every language in NP has a probabilistically checkable proof of proximity (i.e., proofs...
The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time w...
It is known that bounded error probabilistic polynomial time (BPP) languages are accepted by polynom...
Proving that there are problems in PNP that require boolean circuits of super-linear size is a major...