Explicit Extremal Designs and Applications to Extractors
Explicit Extremal Designs and Applications to Extractors
复制标题
显式极值设计及其在提取器中的应用
DOI:
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
J. Goodman
中科院分区:
文献类型:
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作者:
Eshan Chattopadhyay;J. Goodman
An $(n,r,s)$-design, or $(n,r,s)$-partial Steiner system, is an $r$-uniform hypergraph over $n$ vertices with pairwise hyperedge intersections of size $<s$. An independent set in a hypergraph $G$ is a subset of vertices covering no hyperedge, and its independence number $alpha(G)$ is the size of its largest independent set. For all constants $rgeq sinmathbb{N}$ with $r$ even, we explicitly construct $(n,r,s)$-designs $(G_n)_{ninmathbb{N}}$ with independence number $alpha(G_n)leq O(n^{frac{2(r-s)}{r}})$. This gives the first derandomization of a result by Rodl and Sinajova (Random Structures & Algorithms, 1994).
By combining our designs with a recent explicit construction of a leakage-resilient extractor that works for low-entropy (Chattopadhyay et al., FOCS 2020), we obtain simple and significantly improved low-error explicit extractors for adversarial and small-space sources. In particular, for any constant $delta>0$, we extract from $(N,K,n,k)$-adversarial sources of locality $0$, where $Kgeq N^delta$ and $kgeq ext{polylog }n$. The previous best result (Chattopadhyay et al., STOC 2020) required $Kgeq N^{1/2+o(1)}$. As a result, we get extractors for small-space sources over $n$ bits with entropy requirement $kgeq n^{1/2+delta}$, whereas the previous best result (Chattopadhyay et al., STOC 2020) required $kgeq n^{2/3+delta}$.
DOI:
10.1109/focs46700.2020.00117
发表时间:
2020
期刊:
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS
影响因子:
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作者:
Chattopadhyay, Eshan;Goodman, Jesse;Goyal, Vipul;Kumar, Ashutosh;Li, Xin;Meka, Raghu;Zuckerman, David
通讯作者:
Zuckerman, David