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arXiv 1207.6944math.GRcs.DS
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高度压缩数据的有效算法:广义Higman群中的字问题

Efficient algorithms for highly compressed data: The Word Problem in Generalized Higman Groups is in P

Jürn Laun

摘要:

本文延续了Diekert、Ushakov和作者2012年STACS的贡献。我们以两种方式扩展了在会议记录中发表的结果。首先,我们证明了电力电路的数据结构可以推广到任意基q>=2。这导致了一个可以容纳巨大整数的数据结构,通过迭代形成q的幂而产生。我们表明,已知的电源电路的性质为q=2转化为一般情况下。这种推广是不平凡的,需要额外的技术来保持对于q=2的情况所示的算术运算的时间界限。扩展的电源电路模型使我们能够在Baumslag-Solitar群BS(1,q)中进行操作,就像在BS(1,2)中一样有效。这使我们能够解决Higman群的推广H_4(1,q)中的字问题,Higman群是Baumslag-Solitar群BS(1,q)的四个拷贝的合并积,而不是原来形式的BS(1,2)。作为第二个结果,我们允许BS(1,q)的拷贝数f>=4,从而得到Higman群H_f(1,q)的更一般化的概念.我们证明了后者的字问题仍然可以在H_4(1,2)的O(n^6)时间范围内得到解决。

英文摘要:

This paper continues the 2012 STACS contribution by Diekert, Ushakov, and the author. We extend the results published in the proceedings in two ways. First, we show that the data structure of power circuits can be generalized to work with arbitrary bases q>=2. This results in a data structure that can hold huge integers, arising by iteratively forming powers of q. We show that the properties of power circuits known for q=2 translate to the general case. This generalization is non-trivial and additional techniques are required to preserve the time bounds of arithmetic operations that were shown for the case q=2. The extended power circuit model permits us to conduct operations in the Baumslag-Solitar group BS(1,q) as efficiently as in BS(1,2). This allows us to solve the word problem in the generalization H_4(1,q) of Higman's group, which is an amalgamated product of four copies of the Baumslag-Solitar group BS(1,q) rather than BS(1,2) in the original form. As a second result, we allow arbitrary numbers f>=4 of copies of BS(1,q), leading to an even more generalized notion of Higman groups H_f(1,q). We prove that the word problem of the latter can still be solved within the O(n^6) time bound that was shown for H_4(1,2).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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