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  • 标题:On the Complexity of Noncommutative Polynomial Factorization
  • 本地全文:下载
  • 作者:Vikraman Arvind ; Pushkar Joglekar ; Gaurav Rattan
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2015
  • 卷号:2015
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    In this paper we study the complexity of factorization of polynomials in the free noncommutative ring F x 1 x 2 x n of polynomials over the field F and noncommuting variables x 1 x 2 x n . Our main results are the following.

    Although F x 1 x n is not a unique factorization ring, we note that variable-disjoint factorization in F x 1 x n has the uniqueness property. Furthermore, we prove that computing the variable-disjoint factorization is polynomial-time equivalent to Polynomial Identity Testing (both when the input polynomial is given by an arithmetic circuit or an algebraic branching program). We also show that variable-disjoint factorization in the black-box setting can be efficiently computed (where the factors computed will be also given by black-boxes, analogous to the work of Kaltofen and Trager [KT91] in the commutative setting).

    As a consequence of the previous result we show that homogeneous noncommutative polynomials and multilinear noncommutative polynomials have unique factorizations in the usual sense, which can be efficiently computed.

    Finally, we discuss a polynomial decomposition problem in F x 1 x n which is a natural generalization of homogeneous polynomial factorization and prove some complexity bounds for it.

  • 关键词:polynomial factorization; non-commutative arithmetic circuits
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