The Topological Point of View
Robert F. Brown
Additional contact information
Robert F. Brown: University of California, Department of Mathematics
Chapter 1 in A Topological Introduction to Nonlinear Analysis, 2004, pp 3-7 from Springer
Abstract:
Abstract This book is about the topological approach to certain topics in analysis, but what does that really mean? Starting with the “epsilon-delta” parts of elementary calculus, analysis makes extensive use of topological ideas and techniques. Thus the issue is not whether analysis requires topology, but rather how central a role the topological material plays. Rather than attempt the hopeless task of defining precisely what I mean by the topological point of view in analysis, I’ll illustrate it by outlining two proofs of a well-known theorem about the existence of solutions to ordinary differential equations. In the first proof, the key step is the construction of a sequence of approximate solutions whose limit is the required solution. In the second proof, a general topological theorem about the behavior of selfmaps of linear spaces implies the existence of the solution. The two proofs have several features in common, including their dependence on a substantial topological result, but I trust that even my (intentionally) very sketchy treatment will make it clear how basic the differences are in the ways that the two arguments reach the same conclusion. Here’s the theorem.
Date: 2004
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-8176-8124-1_1
Ordering information: This item can be ordered from
http://www.springer.com/9780817681241
DOI: 10.1007/978-0-8176-8124-1_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().