首页> 外文会议>Conference on Computability in Europe >Computable Analysis and Classification Problems
【24h】

Computable Analysis and Classification Problems

机译:可计算分析和分类问题

获取原文

摘要

Suppose we are given a collection of mathematical objects such as the class of connected compact Polish groups or the set of all real numbers which are normal to some base. Is there a reasonable classification of these objects (e.g. by invariants)? One nice property expected from a useful classification is that it makes the classified objects easier to handle algorithmically. Even if the general classification of a class of objects is impossible, sometimes there is a useful hierarchy of objects in this class, e.g., the Cantor-Bendixson rank of a scattered Polish space, the Ulm type of a reduced abelian p-group, etc. We would expect that the algorithmic, algebraic, or topological complexity of objects increase from lower to higher levels of a hierarchy. Can you make this intuition formal? Is it possible to formally measure the algorithmic complexity of a given classification or a hierarchy, or perhaps show that there is no reasonable classification at all? Can algorithmic tools help us to define useful hierarchies?
机译:假设我们得到了一些数学对象的集合,例如连通的紧致波兰群的类或某个基数正常的所有实数的集合。这些对象是否有合理的分类(例如,按不变式分类)?有用的分类所期望的一个不错的特性是,它使分类的对象更易于算法处理。即使不可能对一类对象进行一般性分类,有时在此类中也存在有用的对象层次,例如分散的波兰空间的Cantor-Bendixson等级,简化的阿贝尔p-群的Ulm类型等。我们期望对象的算法,代数或拓扑复杂性从层次结构的较低层到较高层增加。你能使这种直觉成为正式的吗?是否可以正式衡量给定分类或层次结构的算法复杂性,或者表明根本没有合理的分类?算法工具可以帮助我们定义有用的层次结构吗?

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