{"title":"产品测试的硬币问题","authors":"Chin Ho Lee, Emanuele Viola","doi":"10.1145/3201787","DOIUrl":null,"url":null,"abstract":"Let Xm,ϵ be the distribution over m bits X1,…,Xm where the Xi are independent and each Xi equals 1 with probability (1−ϵ)/2 and 0 with probability (1 − ϵ)/2. We consider the smallest value ϵ* of ϵ such that the distributions Xm, ϵ and Xm, 0 can be distinguished with constant advantage by a function f : {0,1}m → S, which is the product of k functions f1,f2,…, fk on disjoint inputs of n bits, where each fi : {0,1}n → S and m = nk. We prove that ϵ* = Θ(1/√n log k) if S = [−1,1], while ϵ* = Θ(1/√nk) if S is the set of unit-norm complex numbers.","PeriodicalId":198744,"journal":{"name":"ACM Transactions on Computation Theory (TOCT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"The Coin Problem for Product Tests\",\"authors\":\"Chin Ho Lee, Emanuele Viola\",\"doi\":\"10.1145/3201787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Let Xm,ϵ be the distribution over m bits X1,…,Xm where the Xi are independent and each Xi equals 1 with probability (1−ϵ)/2 and 0 with probability (1 − ϵ)/2. We consider the smallest value ϵ* of ϵ such that the distributions Xm, ϵ and Xm, 0 can be distinguished with constant advantage by a function f : {0,1}m → S, which is the product of k functions f1,f2,…, fk on disjoint inputs of n bits, where each fi : {0,1}n → S and m = nk. We prove that ϵ* = Θ(1/√n log k) if S = [−1,1], while ϵ* = Θ(1/√nk) if S is the set of unit-norm complex numbers.\",\"PeriodicalId\":198744,\"journal\":{\"name\":\"ACM Transactions on Computation Theory (TOCT)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Computation Theory (TOCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3201787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Computation Theory (TOCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3201787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Let Xm,ϵ be the distribution over m bits X1,…,Xm where the Xi are independent and each Xi equals 1 with probability (1−ϵ)/2 and 0 with probability (1 − ϵ)/2. We consider the smallest value ϵ* of ϵ such that the distributions Xm, ϵ and Xm, 0 can be distinguished with constant advantage by a function f : {0,1}m → S, which is the product of k functions f1,f2,…, fk on disjoint inputs of n bits, where each fi : {0,1}n → S and m = nk. We prove that ϵ* = Θ(1/√n log k) if S = [−1,1], while ϵ* = Θ(1/√nk) if S is the set of unit-norm complex numbers.