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        <identifier>oai:drops-oai.dagstuhl.de:18091</identifier>
        <datestamp>2024-03-06T11:00:59Z</datestamp>
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          <dc:title>New PRGs for Unbounded-Width/Adaptive-Order Read-Once Branching Programs</dc:title>
          <dc:creator>Chen, Lijie</dc:creator>
          <dc:creator>Lyu, Xin</dc:creator>
          <dc:creator>Tal, Avishay</dc:creator>
          <dc:creator>Wu, Hongxun</dc:creator>
          <dc:subject>pseudorandom generators</dc:subject>
          <dc:subject>derandomization</dc:subject>
          <dc:subject>read-once branching programs</dc:subject>
          <dc:description>We give the first pseudorandom generators with sub-linear seed length for the following variants of read-once branching programs (roBPs):  &#13;
1) First, we show there is an explicit PRG of seed length O(log²(n/ε)log(n)) fooling unbounded-width unordered permutation branching programs with a single accept state, where n is the length of the program. Previously, [Lee-Pyne-Vadhan RANDOM 2022] gave a PRG with seed length Ω(n) for this class. For the ordered case, [Hoza-Pyne-Vadhan ITCS 2021] gave a PRG with seed length Õ(log n ⋅ log 1/ε).&#13;
2) Second, we show there is an explicit PRG fooling unbounded-width unordered regular branching programs with a single accept state with seed length Õ(√{n ⋅ log 1/ε} + log 1/ε). Previously, no non-trivial PRG (with seed length less than n) was known for this class (even in the ordered setting). For the ordered case, [Bogdanov-Hoza-Prakriya-Pyne CCC 2022] gave an HSG with seed length Õ(log n ⋅ log 1/ε).&#13;
3) Third, we show there is an explicit PRG fooling width w adaptive branching programs with seed length O(log n ⋅ log² (nw/ε)). Here, the branching program can choose an input bit to read depending on its current state, while it is guaranteed that on any input x ∈ {0,1}ⁿ, the branching program reads each input bit exactly once. Previously, no PRG with a non-trivial seed length is known for this class. &#13;
We remark that there are some functions computable by constant-width adaptive branching programs but not by sub-exponential-width unordered branching programs. &#13;
In terms of techniques, we indeed show that the Forbes-Kelly PRG (with the right parameters) from [Forbes-Kelly FOCS 2018] already fools all variants of roBPs above. Our proof adds several new ideas to the original analysis of Forbes-Kelly, and we believe it further demonstrates the versatility of the Forbes-Kelly PRG.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Lijie Chen and Xin Lyu and Avishay Tal and Hongxun Wu</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 261, 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2023.39</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-180916</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2023.39</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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