{"title":"多对数熵的改进双源提取器和仿射提取器","authors":"Xin Li","doi":"10.1109/FOCS.2016.26","DOIUrl":null,"url":null,"abstract":"In a recent breakthrough [1], Chattopadhyay and Zuckerman gave an explicit two-source extractor for min-entropy k ≥ logC n for some large enough constant C, where n is the length of the source. However, their extractor only outputs one bit. In this paper, we improve the output of the two-source extractor to kΩ(1), while the error remains n-Ω(1) and the extractor remains strong in the second source. In the non-strong case, the output can be increased to k. Our improvement is obtained by giving a better extractor for (q, t, γ) non-oblivious bit-fixing sources, which can output tΩ(1) bits instead of one bit as in [1]. We also give the first explicit construction of deterministic extractors for affine sources over F2, with entropy k ≥ logC n for some large enough constant C, where n is the length of the source. Previously the best known results are by Bourgain [2], Yehudayoff [3] and Li [4], which require the affine source to have entropy at least Ω(n/√log log n). Our extractor outputs kΩ(1) bits with error n-Ω(1). This is done by reducing an affine source to a non-oblivious bit-fixing source, where we adapt the alternating extraction based approach in previous work on independent source extractors [5] to the affine setting. Our affine extractors also imply improved extractors for circuit sources studied in [6]. We further extend our results to the case of zero-error dispersers, and give two applications in data structures that rely crucially on the fact that our two-source or affine extractors have large output size.","PeriodicalId":414001,"journal":{"name":"2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"73","resultStr":"{\"title\":\"Improved Two-Source Extractors, and Affine Extractors for Polylogarithmic Entropy\",\"authors\":\"Xin Li\",\"doi\":\"10.1109/FOCS.2016.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a recent breakthrough [1], Chattopadhyay and Zuckerman gave an explicit two-source extractor for min-entropy k ≥ logC n for some large enough constant C, where n is the length of the source. However, their extractor only outputs one bit. In this paper, we improve the output of the two-source extractor to kΩ(1), while the error remains n-Ω(1) and the extractor remains strong in the second source. In the non-strong case, the output can be increased to k. Our improvement is obtained by giving a better extractor for (q, t, γ) non-oblivious bit-fixing sources, which can output tΩ(1) bits instead of one bit as in [1]. We also give the first explicit construction of deterministic extractors for affine sources over F2, with entropy k ≥ logC n for some large enough constant C, where n is the length of the source. Previously the best known results are by Bourgain [2], Yehudayoff [3] and Li [4], which require the affine source to have entropy at least Ω(n/√log log n). Our extractor outputs kΩ(1) bits with error n-Ω(1). This is done by reducing an affine source to a non-oblivious bit-fixing source, where we adapt the alternating extraction based approach in previous work on independent source extractors [5] to the affine setting. Our affine extractors also imply improved extractors for circuit sources studied in [6]. We further extend our results to the case of zero-error dispersers, and give two applications in data structures that rely crucially on the fact that our two-source or affine extractors have large output size.\",\"PeriodicalId\":414001,\"journal\":{\"name\":\"2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"73\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FOCS.2016.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FOCS.2016.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Two-Source Extractors, and Affine Extractors for Polylogarithmic Entropy
In a recent breakthrough [1], Chattopadhyay and Zuckerman gave an explicit two-source extractor for min-entropy k ≥ logC n for some large enough constant C, where n is the length of the source. However, their extractor only outputs one bit. In this paper, we improve the output of the two-source extractor to kΩ(1), while the error remains n-Ω(1) and the extractor remains strong in the second source. In the non-strong case, the output can be increased to k. Our improvement is obtained by giving a better extractor for (q, t, γ) non-oblivious bit-fixing sources, which can output tΩ(1) bits instead of one bit as in [1]. We also give the first explicit construction of deterministic extractors for affine sources over F2, with entropy k ≥ logC n for some large enough constant C, where n is the length of the source. Previously the best known results are by Bourgain [2], Yehudayoff [3] and Li [4], which require the affine source to have entropy at least Ω(n/√log log n). Our extractor outputs kΩ(1) bits with error n-Ω(1). This is done by reducing an affine source to a non-oblivious bit-fixing source, where we adapt the alternating extraction based approach in previous work on independent source extractors [5] to the affine setting. Our affine extractors also imply improved extractors for circuit sources studied in [6]. We further extend our results to the case of zero-error dispersers, and give two applications in data structures that rely crucially on the fact that our two-source or affine extractors have large output size.