AbstractResource-boundedmeasure as originated by Lutz is an extension of classical measure theory which provides a probabilistic means of describing the relative sizes of complexity classes. Lutz has proposed the hypothesis that NP does not havep-measure zero, meaning loosely that NP contains a non-negligible subset of exponential time. This hypothesis implies a strong separation of P from NP and is supported by a growing body of plausible consequences which are not known to follow from the weaker assertion P≠NP. It is shown in this paper that relative to a random oracle, NP does not havep-measure zero. The proof exploits the followingindependenceproperty of algorithmically random sequences: ifAis an algorithmically random sequence and a su...
We use Lutz's resource bounded measure theory to prove that, either RP is small, or ZPP is hard. M...
As soon as Bennett and Gill first demonstrated that, relative to a randomly chosen oracle, P is not ...
AbstractIt is shown that P(A)∩P(B)=BPPP holds for every algorithmically random oracle A⊕B. This resu...
AbstractResource-boundedmeasure as originated by Lutz is an extension of classical measure theory wh...
AbstractCircuit-size complexity is compared with deterministic and nondeterministic time complexity ...
Circuit-size complexity is compared with deterministic and nondeterministic time complexity in the p...
We revisit the problem of generalising Lutz’s resource-bounded measure (RBM) to small complexity cla...
AbstractWe study the sets of resource-bounded Kolmogorov random strings:Rt={x|Ct(n)(x)⩾|x|} fort(n)=...
AbstractThe following is a survey of resource bounded randomness concepts and their relations to eac...
AbstractWe introduce and study resource bounded random sets based on Lutz's concept of resource boun...
Let R be a notion of algorithmic randomness for individual subsets of N. We say B is a base for R ra...
In the present paper we prove that relative to random oracle A (with respect to the uniform measure)...
We show that if RP does not have p-measure zero then ZPP = EXP. As corollaries we obtain a zero-one ...
AbstractWe consider several questions on the computational power of PP, the class of sets accepted b...
This paper studies how Kolmogorov complexity dictates the structure of standard deterministic and n...
We use Lutz's resource bounded measure theory to prove that, either RP is small, or ZPP is hard. M...
As soon as Bennett and Gill first demonstrated that, relative to a randomly chosen oracle, P is not ...
AbstractIt is shown that P(A)∩P(B)=BPPP holds for every algorithmically random oracle A⊕B. This resu...
AbstractResource-boundedmeasure as originated by Lutz is an extension of classical measure theory wh...
AbstractCircuit-size complexity is compared with deterministic and nondeterministic time complexity ...
Circuit-size complexity is compared with deterministic and nondeterministic time complexity in the p...
We revisit the problem of generalising Lutz’s resource-bounded measure (RBM) to small complexity cla...
AbstractWe study the sets of resource-bounded Kolmogorov random strings:Rt={x|Ct(n)(x)⩾|x|} fort(n)=...
AbstractThe following is a survey of resource bounded randomness concepts and their relations to eac...
AbstractWe introduce and study resource bounded random sets based on Lutz's concept of resource boun...
Let R be a notion of algorithmic randomness for individual subsets of N. We say B is a base for R ra...
In the present paper we prove that relative to random oracle A (with respect to the uniform measure)...
We show that if RP does not have p-measure zero then ZPP = EXP. As corollaries we obtain a zero-one ...
AbstractWe consider several questions on the computational power of PP, the class of sets accepted b...
This paper studies how Kolmogorov complexity dictates the structure of standard deterministic and n...
We use Lutz's resource bounded measure theory to prove that, either RP is small, or ZPP is hard. M...
As soon as Bennett and Gill first demonstrated that, relative to a randomly chosen oracle, P is not ...
AbstractIt is shown that P(A)∩P(B)=BPPP holds for every algorithmically random oracle A⊕B. This resu...