...
首页> 外文期刊>Journal of symbolic computation >Computing spectral sequences
【24h】

Computing spectral sequences

机译:计算光谱序列

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

John McCleary insisted in his interesting textbook entitled "User's guide to spectral sequences" on the fact that the tool "spectral sequence" is not in the general situation an algorithm allowing its user to compute the looked-for homology groups. The present article explains how the notion of "Object with Effective Homology" on the contrary allows the user to recursively obtain all the components of the Serre and Eilenberg-Moore spectral sequences, when the data are objects with effective homology. In particular the computability problem of the higher differentials is solved, the extension problem at abutment is also recursively solved. Furthermore, these methods have been concretely implemented as an extension of the Kenzo computer program. Two typical examples of spectral sequence computations are reported.
机译:约翰·麦克莱里(John McCleary)在他有趣的教科书《频谱序列用户指南》中坚持认为,“频谱序列”工具在一般情况下不是一种算法,允许其用户计算所寻找的同源性组。相反,本文解释了当数据是具有有效同源性的对象时,“具有有效同源性的对象”的概念如何使用户能够递归获得Serre和Eilenberg-Moore光谱序列的所有分量。特别是解决了高差的可计算性问题,也递归地解决了基台的延伸问题。此外,这些方法已具体实现为Kenzo计算机程序的扩展。报告了光谱序列计算的两个典型示例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号