小素数域上多元多项式的最优检验

Elad Haramaty, Amir Shpilka, M. Sudan
{"title":"小素数域上多元多项式的最优检验","authors":"Elad Haramaty, Amir Shpilka, M. Sudan","doi":"10.1137/120879257","DOIUrl":null,"url":null,"abstract":"We consider the problem of testing if a given function $f : \\F_q^n \\right arrow \\F_q$ is close to a $n$-variate degree $d$ polynomial over the finite field $\\F_q$ of $q$elements. The natural, low-query, test for this property would be to pick the smallest dimension $t = t_{q,d}\\approx d/q$ such that every function of degree greater than $d$reveals this aspect on {\\em some} $t$-dimensional affine subspace of $\\F_q^n$ and to test that $f$ when restricted to a {\\em random} $t$-dimensional affine subspace is a polynomial of degree at most $d$ on this subspace. Such a test makes only $q^t$ queries, independent of $n$. Previous works, by Alon et al.~\\cite{AKKLR}, and Kaufman and Ron~\\cite{KaufmanRon06} and Jutla et al.~\\cite{JPRZ04}, showed that this natural test rejected functions that were$\\Omega(1)$-far from degree $d$-polynomials with probability at least $\\Omega(q^{-t})$. (The initial work~\\cite{AKKLR} considered only the case of $q=2$, while the work~\\cite{JPRZ04}only considered the case of prime $q$. The results in \\cite{KaufmanRon06} hold for all fields.) Thus to get a constant probability of detecting functions that are at constant distance from the space of degree $d$ polynomials, the tests made $q^{2t}$ queries. Kaufman and Ron also noted that when $q$ is prime, then $q^t$ queries are necessary. Thus these tests were off by at least a quadratic factor from known lower bounds. Bhattacharyya et al.~\\cite{BKSSZ10} gave an optimal analysis of this test for the case of the binary field and showed that the natural test actually rejects functions that were $\\Omega(1)$-far from degree $d$-polynomials with probability$\\Omega(1)$. In this work we extend this result for all fields showing that the natural test does indeed reject functions that are $\\Omega(1)$-far from degree $d$ polynomials with$\\Omega(1)$-probability, where the constants depend only on $q$ the field size. Thus our analysis thus shows that this test is optimal (matches known lower bounds) when $q$ is prime. The main technical ingredient in our work is a tight analysis of the number of ``hyper planes'' (affine subspaces of co-dimension $1$) on which the restriction of a degree $d$polynomial has degree less than $d$. We show that the number of such hyper planes is at most $O(q^{t_{q,d}})$ -- which is tight to within constant factors.","PeriodicalId":326048,"journal":{"name":"2011 IEEE 52nd Annual Symposium on Foundations of Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Optimal Testing of Multivariate Polynomials over Small Prime Fields\",\"authors\":\"Elad Haramaty, Amir Shpilka, M. Sudan\",\"doi\":\"10.1137/120879257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of testing if a given function $f : \\\\F_q^n \\\\right arrow \\\\F_q$ is close to a $n$-variate degree $d$ polynomial over the finite field $\\\\F_q$ of $q$elements. The natural, low-query, test for this property would be to pick the smallest dimension $t = t_{q,d}\\\\approx d/q$ such that every function of degree greater than $d$reveals this aspect on {\\\\em some} $t$-dimensional affine subspace of $\\\\F_q^n$ and to test that $f$ when restricted to a {\\\\em random} $t$-dimensional affine subspace is a polynomial of degree at most $d$ on this subspace. Such a test makes only $q^t$ queries, independent of $n$. Previous works, by Alon et al.~\\\\cite{AKKLR}, and Kaufman and Ron~\\\\cite{KaufmanRon06} and Jutla et al.~\\\\cite{JPRZ04}, showed that this natural test rejected functions that were$\\\\Omega(1)$-far from degree $d$-polynomials with probability at least $\\\\Omega(q^{-t})$. (The initial work~\\\\cite{AKKLR} considered only the case of $q=2$, while the work~\\\\cite{JPRZ04}only considered the case of prime $q$. The results in \\\\cite{KaufmanRon06} hold for all fields.) Thus to get a constant probability of detecting functions that are at constant distance from the space of degree $d$ polynomials, the tests made $q^{2t}$ queries. Kaufman and Ron also noted that when $q$ is prime, then $q^t$ queries are necessary. Thus these tests were off by at least a quadratic factor from known lower bounds. Bhattacharyya et al.~\\\\cite{BKSSZ10} gave an optimal analysis of this test for the case of the binary field and showed that the natural test actually rejects functions that were $\\\\Omega(1)$-far from degree $d$-polynomials with probability$\\\\Omega(1)$. In this work we extend this result for all fields showing that the natural test does indeed reject functions that are $\\\\Omega(1)$-far from degree $d$ polynomials with$\\\\Omega(1)$-probability, where the constants depend only on $q$ the field size. Thus our analysis thus shows that this test is optimal (matches known lower bounds) when $q$ is prime. The main technical ingredient in our work is a tight analysis of the number of ``hyper planes'' (affine subspaces of co-dimension $1$) on which the restriction of a degree $d$polynomial has degree less than $d$. We show that the number of such hyper planes is at most $O(q^{t_{q,d}})$ -- which is tight to within constant factors.\",\"PeriodicalId\":326048,\"journal\":{\"name\":\"2011 IEEE 52nd Annual Symposium on Foundations of Computer Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 52nd Annual Symposium on Foundations of Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/120879257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 52nd Annual Symposium on Foundations of Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/120879257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

摘要

我们考虑测试一个给定函数的问题 $f : \F_q^n \right arrow \F_q$ 接近于 $n$-变量度 $d$ 有限域上的多项式 $\F_q$ 的 $q$元素。对这个属性的自然的、低查询的测试是选择最小的维度 $t = t_{q,d}\approx d/q$ 使得每一个度数大于 $d$揭示了这方面 {\em 一些} $t$的-维仿射子空间 $\F_q^n$ 为了验证这一点 $f$ 当被限制在 {\em 随机的} $t$五维仿射子空间最多是一个次多项式 $d$ 在这个子空间上。这样的测试只会使 $q^t$ 查询,独立于 $n$. 以前的作品,由阿隆等人。 \cite{AKKLR}考夫曼和罗恩 \cite{KaufmanRon06} 以及Jutla等人。 \cite{JPRZ04},表明这种自然测试拒绝了$\Omega(1)$-远非程度 $d$-至少有概率的多项式 $\Omega(q^{-t})$. (前期工作 \cite{AKKLR} 只考虑的情况 $q=2$,而工作 \cite{JPRZ04}只考虑了素数的情况 $q$. 结果是 \cite{KaufmanRon06} 对所有字段都适用。)从而得到距离度空间等距离的函数的检测概率为常数 $d$ 多项式,测试的结果 $q^{2t}$ 查询。考夫曼和罗恩还指出,当 $q$ 它是素数 $q^t$ 查询是必要的。因此,这些测试与已知的下界至少相差一个二次因子。Bhattacharyya等人。 \cite{BKSSZ10} 对于二元场的情况,给出了该检验的最优分析,并表明自然检验实际上拒绝了以下函数 $\Omega(1)$-远非程度 $d$-带概率的多项式$\Omega(1)$. 在这项工作中,我们将这一结果推广到所有领域,表明自然测试确实拒绝了以下函数 $\Omega(1)$-远非程度 $d$ 带的多项式$\Omega(1)$-概率,其中常数只依赖于 $q$ 字段大小。因此,我们的分析表明,这个测试是最佳的(匹配已知的下界),当 $q$ 是质数。我们工作的主要技术成分是对“超平面”(协维仿射子空间)数量的严密分析 $1$),其中一个程度的限制 $d$多项式的次数小于 $d$. 我们证明了这种超平面的数量最多是 $O(q^{t_{q,d}})$ ——在常数因子范围内是紧密的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Optimal Testing of Multivariate Polynomials over Small Prime Fields
We consider the problem of testing if a given function $f : \F_q^n \right arrow \F_q$ is close to a $n$-variate degree $d$ polynomial over the finite field $\F_q$ of $q$elements. The natural, low-query, test for this property would be to pick the smallest dimension $t = t_{q,d}\approx d/q$ such that every function of degree greater than $d$reveals this aspect on {\em some} $t$-dimensional affine subspace of $\F_q^n$ and to test that $f$ when restricted to a {\em random} $t$-dimensional affine subspace is a polynomial of degree at most $d$ on this subspace. Such a test makes only $q^t$ queries, independent of $n$. Previous works, by Alon et al.~\cite{AKKLR}, and Kaufman and Ron~\cite{KaufmanRon06} and Jutla et al.~\cite{JPRZ04}, showed that this natural test rejected functions that were$\Omega(1)$-far from degree $d$-polynomials with probability at least $\Omega(q^{-t})$. (The initial work~\cite{AKKLR} considered only the case of $q=2$, while the work~\cite{JPRZ04}only considered the case of prime $q$. The results in \cite{KaufmanRon06} hold for all fields.) Thus to get a constant probability of detecting functions that are at constant distance from the space of degree $d$ polynomials, the tests made $q^{2t}$ queries. Kaufman and Ron also noted that when $q$ is prime, then $q^t$ queries are necessary. Thus these tests were off by at least a quadratic factor from known lower bounds. Bhattacharyya et al.~\cite{BKSSZ10} gave an optimal analysis of this test for the case of the binary field and showed that the natural test actually rejects functions that were $\Omega(1)$-far from degree $d$-polynomials with probability$\Omega(1)$. In this work we extend this result for all fields showing that the natural test does indeed reject functions that are $\Omega(1)$-far from degree $d$ polynomials with$\Omega(1)$-probability, where the constants depend only on $q$ the field size. Thus our analysis thus shows that this test is optimal (matches known lower bounds) when $q$ is prime. The main technical ingredient in our work is a tight analysis of the number of ``hyper planes'' (affine subspaces of co-dimension $1$) on which the restriction of a degree $d$polynomial has degree less than $d$. We show that the number of such hyper planes is at most $O(q^{t_{q,d}})$ -- which is tight to within constant factors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Randomized Rounding Approach to the Traveling Salesman Problem Welfare and Profit Maximization with Production Costs Which Networks are Least Susceptible to Cascading Failures? Computing Blindfolded: New Developments in Fully Homomorphic Encryption The 1D Area Law and the Complexity of Quantum States: A Combinatorial Approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1