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  • 标题:The complexity of matrix rank and feasible systems of linear equations
  • 本地全文:下载
  • 作者:Eric Allender ; Robert Beals ; Mitsunori Ogihara
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1996
  • 卷号:1996
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:We characterize the complexity of some natural and important problems in linear algebra. In particular, we identify natural complexity classes for which the problems of (a) determining if a system of linear equations is feasible and (b) computing the rank of an integer matrix, (as well as other problems), are complete under logspace reductions. As an important part of presenting this classification, we show that the ``exact counting logspace hierarchy'' collapses to near the bottom level. (We review the definition of this hierarchy below.) We further show that this class is closed under NC^1-reducibility, and that it consists of exactly those languages that have logspace uniform span programs (introduced by Karchmer and Wigderson) over the rationals. In addition, we contrast the complexity of these problems with the complexity of determining if a system of linear equations has an integer solution.
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