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        <identifier>oai:drops-oai.dagstuhl.de:19759</identifier>
        <datestamp>2024-03-11T06:37:05Z</datestamp>
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          <dc:title>Sub-Exponential Time Lower Bounds for #VC and #Matching on 3-Regular Graphs</dc:title>
          <dc:creator>Liu, Ying</dc:creator>
          <dc:creator>Chen, Shiteng</dc:creator>
          <dc:subject>computational complexity</dc:subject>
          <dc:subject>planar Holant</dc:subject>
          <dc:subject>polynomial interpolation</dc:subject>
          <dc:subject>rETH</dc:subject>
          <dc:subject>sub-exponential</dc:subject>
          <dc:subject>#ETH</dc:subject>
          <dc:subject>#Matching</dc:subject>
          <dc:subject>#VC</dc:subject>
          <dc:description>This article focuses on the sub-exponential time lower bounds for two canonical #P-hard problems: counting the vertex covers of a given graph (#VC) and counting the matchings of a given graph (#Matching), under the well-known counting exponential time hypothesis (#ETH). &#13;
Interpolation is an essential method to build reductions in this article and in the literature. We use the idea of block interpolation to prove that both #VC and #Matching have no 2^{o(N)} time deterministic algorithm, even if the given graph with N vertices is a 3-regular graph. However, when it comes to proving the lower bounds for #VC and #Matching on planar graphs, both block interpolation and polynomial interpolation do not work. We prove that, for any integer N &gt; 0, we can simulate N pairwise linearly independent unary functions by gadgets with only O(log N) size in the context of #VC and #Matching. Then we use log-size gadgets in the polynomial interpolation to prove that planar #VC and planar #Matching have no 2^{o(√{N/(log N)})} time deterministic algorithm. The lower bounds hold even if the given graph with N vertices is a 3-regular graph. &#13;
Based on a stronger hypothesis, randomized exponential time hypothesis (rETH), we can avoid using interpolation. We prove that if rETH holds, both planar #VC and planar #Matching have no 2^{o(√N)} time randomized algorithm, even that the given graph with N vertices is a planar 3-regular graph. The 2^{Ω(√N)} time lower bounds are tight, since there exist 2^{O(√N)} time algorithms for planar #VC and planar #Matching.&#13;
We also develop a fine-grained dichotomy for a class of counting problems, symmetric Holant*.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ying Liu and Shiteng Chen</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 289, 41st International Symposium on Theoretical Aspects of Computer Science (STACS 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2024.49</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-197593</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2024.49</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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