{"title":"Simple Affine Extractors Using Dimension Expansion","authors":"Matt DeVos, Ariel Gabizon","doi":"10.1109/CCC.2010.14","DOIUrl":null,"url":null,"abstract":"Let $\\F$ be the field of $q$ elements. An \\emph{\\afsext{n}{k}} is a mapping $D:\\F^n\\ar\\B$ such that for any $k$-dimensional affine subspace $X\\subseteq \\F^n$, $D(x)$ is an almost unbiased bit when $x$ is chosen uniformly from $X$. Loosely speaking, the problem of explicitly constructing affine extractors gets harder as $q$ gets smaller and easier as $k$ gets larger. This is reflected in previous results: When $q$ is `large enough', specifically $q= \\Omega(n^2)$, Gabizon and Raz \\cite{GR05} construct affine extractors for any $k\\geq 1$. In the `hardest case', i.e. when $q=2$, Bourgain \\cite{Bour05} constructs affine extractors for $k\\geq \\delta n$ for any constant (and even slightly sub-constant) $\\delta>0$. Our main result is the following: Fix any $k\\geq 2$ and let $d = 5n/k$. Then whenever $q>2\\cdot d^2$ and $p=char(\\F)>d$, we give an explicit \\afsext{n}{k}. For example, when $k=\\delta n$ for constant $\\delta>0$, we get an extractor for a field of constant size $\\Omega(\\left(\\frac{1}{\\delta}\\right)^2)$. We also get weaker results for fields of arbitrary characteristic (but can still work with a constant field size when $k=\\delta n $ for constant $\\delta > 0$). Thus our result may be viewed as a `field-size/dimension' tradeoff for affine extractors. For a wide range of $k$ this gives a new result, but even for large $k$ where we do not improve (or even match) the previous result of \\cite{Bour05}, we believe that our construction and proof have the advantage of being very simple: Assume $n$ is prime and $d$ is odd, and fix any non-trivial linear map $T:\\F^n\\mapsto \\F$. Define $QR:\\F\\mapsto \\B$ by $QR(x)=1$ if and only if $x$ is a quadratic residue. Then, the function $D:\\F^n\\mapsto \\B$ defined by $D(x)\\triangleq QR(T(x^d))$ is an \\afsext{n}{k}. Our proof uses a result of Heur, Leung and Xiang \\cite{HLX02} giving a lower bound on the dimension of products of subspaces.","PeriodicalId":328781,"journal":{"name":"2010 IEEE 25th Annual Conference on Computational Complexity","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 25th Annual Conference on Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCC.2010.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
Let $\F$ be the field of $q$ elements. An \emph{\afsext{n}{k}} is a mapping $D:\F^n\ar\B$ such that for any $k$-dimensional affine subspace $X\subseteq \F^n$, $D(x)$ is an almost unbiased bit when $x$ is chosen uniformly from $X$. Loosely speaking, the problem of explicitly constructing affine extractors gets harder as $q$ gets smaller and easier as $k$ gets larger. This is reflected in previous results: When $q$ is `large enough', specifically $q= \Omega(n^2)$, Gabizon and Raz \cite{GR05} construct affine extractors for any $k\geq 1$. In the `hardest case', i.e. when $q=2$, Bourgain \cite{Bour05} constructs affine extractors for $k\geq \delta n$ for any constant (and even slightly sub-constant) $\delta>0$. Our main result is the following: Fix any $k\geq 2$ and let $d = 5n/k$. Then whenever $q>2\cdot d^2$ and $p=char(\F)>d$, we give an explicit \afsext{n}{k}. For example, when $k=\delta n$ for constant $\delta>0$, we get an extractor for a field of constant size $\Omega(\left(\frac{1}{\delta}\right)^2)$. We also get weaker results for fields of arbitrary characteristic (but can still work with a constant field size when $k=\delta n $ for constant $\delta > 0$). Thus our result may be viewed as a `field-size/dimension' tradeoff for affine extractors. For a wide range of $k$ this gives a new result, but even for large $k$ where we do not improve (or even match) the previous result of \cite{Bour05}, we believe that our construction and proof have the advantage of being very simple: Assume $n$ is prime and $d$ is odd, and fix any non-trivial linear map $T:\F^n\mapsto \F$. Define $QR:\F\mapsto \B$ by $QR(x)=1$ if and only if $x$ is a quadratic residue. Then, the function $D:\F^n\mapsto \B$ defined by $D(x)\triangleq QR(T(x^d))$ is an \afsext{n}{k}. Our proof uses a result of Heur, Leung and Xiang \cite{HLX02} giving a lower bound on the dimension of products of subspaces.