Computing spectral sequences

被引:26
|
作者
Romero, A.
Rubio, J.
Sergeraert, F.
机构
[1] Univ La Rioja, Dept Matemat & Computac, E-26004 Logrono, La Rioja, Spain
[2] Univ Grenoble 1, Inst Fourier, Grenoble, France
关键词
symbolic computation; spectral sequences; Serre spectral sequence; Eilenberg-Moore spectral sequence; constructive algebraic topology; common lisp;
D O I
10.1016/j.jsc.2006.06.002
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
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. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1059 / 1079
页数:21
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