首页> 外文期刊>Electronic Colloquium on Computational Complexity >Every set in P is strongly testable under a suitable encoding
【24h】

Every set in P is strongly testable under a suitable encoding

机译:P中的每个集合都可以在适当的编码下进行严格测试

获取原文
           

摘要

We show that every set in is strongly testable under a suitable encoding. By ``strongly testable'' we mean having a (proximity oblivious) tester that makes a constant number of queries and rejects with probability that is proportional to the distance of the tested object from the property. By a ``suitable encoding'' we mean one that is polynomial-time computable and invertible. This result stands in contrast to the known fact that some sets in are extremely hard to test, providing another demonstration of the crucial role of representation in the context of property testing.The testing result is proved by showing that any set in has a {em strong canonical PCP}, where canonical means that (for yes-instances) there exists a single proof that is accepted with probability 1 by the system, whereas all other potential proofs are rejected with probability proportional to their distance from this proof. In fact, we show that equals the lass of sets having strong canonical PCPs (of logarithmic randomness), whereas the class of sets having strong canonical PCPs with polynomial proof length equals ``unambiguous- ''. Actually, for the testing result, we use a PCP-of-Proximity version of the foregoing notion and an analogous positive result (i.e., strong canonical PCPPs of logarithmic randomness for any set in ).
机译:我们显示,在适当的编码下,每个set都可强烈测试。 ``可高度测试''是指拥有一个(接近度忽略)测试器,该测试器进行恒定数量的查询和拒绝,其概率与被测对象到属性的距离成正比。 ``适当的编码''是指一种多项式时间可计算和可逆的编码。该结果与已知事实相反,已知事实中的某些集合极难测试,从而再次证明了表示在属性测试中的关键作用。测试结果通过证明任何集合中都有一个{强规范PCP},其中规范表示(对于yes实例)存在一个被系统以概率1接受的证明,而所有其他潜在证明均以与它们与该证明的距离成正比的概率被拒绝。实际上,我们表明等于具有强对数随机性的规范PCP的集合的集合,而具有多项式证明长度的具有强规范PCP的集合的类别等于``明确-''。实际上,对于测试结果,我们使用上述概念的PCP-of-Proximity版本和类似的肯定结果(即,对中的任何集合都具有对数随机性的强规范PCPC)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号