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| Content Provider | ACM Digital Library |
|---|---|
| Author | Watson, Thomas |
| Copyright Year | 2015 |
| Abstract | We prove a lower bound on the amount of nonuniform advice needed by black-box reductions for the Dense Model Theorem of Green, Tao, and Ziegler, and of Reingold, Trevisan, Tulsiani, and Vadhan. The latter theorem roughly says that for every distribution $\textit{D}$ that is Δ-dense in a distribution that is $\textit{ε}′-indistinguishable$ from uniform, there exists a “dense model” for $\textit{D},$ that is, a distribution that is $\textit{Δ}-dense$ in the uniform distribution and is $\textit{ε}-indistinguishable$ from $\textit{D}.$ This $\textit{ε}-indistinguishability$ is with respect to an arbitrary small class of functions $\textit{F}.$ For the natural case where $\textit{ε}′$ ≥ $Ω(\textit{εΔ})$ and $\textit{ε}$ ≥ $\textit{Δ}\textit{O}(1),$ our lower bound implies that $Ω(√(1/\textit{ε})$ $log(1/\textit{Δ})·log|\textit{F}|)$ advice bits are necessary for a certain type of reduction that establishes a stronger form of the Dense Model Theorem (and which encompasses all known proofs of the Dense Model Theorem in the literature). There is only a polynomial gap between our lower bound and the best upper bound for this case (due to Zhang), which is $\textit{O}((1/\textit{ε}2)log(1/\textit{Δ})·log|\textit{F}|).$ Our lower bound can be viewed as an analogue of list size lower bounds for list-decoding of error-correcting codes, but for “dense model decoding” instead. |
| Starting Page | 1 |
| Ending Page | 18 |
| Page Count | 18 |
| File Format | |
| ISSN | 19423454 |
| e-ISSN | 19423462 |
| DOI | 10.1145/2676659 |
| Volume Number | 7 |
| Issue Number | 1 |
| Journal | ACM Transactions on Computation Theory (TOCT) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-01-13 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Advice Dense model theorem Lower bounds |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computational Theory and Mathematics Theoretical Computer Science |
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