Bibliographic Details
| Title: |
Criterions for detecting the existence of the exponential dichotomies in the asymptotic behavior of the solutions of variational equations |
| Authors: |
Preda, C. preda@math.ucla.edu, Preda, P.1 preda@math.uvt.ro, Craciunescu, A.1 craciunescu@math.uvt.ro |
| Source: |
Journal of Functional Analysis. Feb2010, Vol. 258 Issue 3, p729-757. 29p. |
| Subjects: |
Existence theorems, Exponential functions, Asymptotic expansions, Variational principles, Vector-valued measures, Function spaces, Continuous functions |
| Abstract: |
Abstract: We prove that the admissibility of any pair of vector-valued Schäffer function spaces (satisfying a very general technical condition) implies the existence of a “no past” exponential dichotomy for an exponentially bounded, strongly continuous cocycle (over a semiflow). Roughly speaking the class of Schäffer function spaces consists in all function spaces which are invariant under the right-shift and therefore our approach addresses most of the possible pairs of admissible spaces. Complete characterizations for the exponential dichotomy of cocycles are also obtained. Moreover, we involve a concept of a “no past” exponential dichotomy for cocycles weaker than the classical concept defined by Sacker and Sell (1994) in . Our definition of exponential dichotomy follows partially the definition given by Chow and Leiva (1996) in in the sense that we allow the unstable subspace to have infinite dimension. The main difference is that we do not assume a priori that the cocycle is invertible on the unstable space (actually we do not even assume that the unstable space is invariant under the cocycle). Thus we generalize some known results due to O. Perron (1930) , J. Daleckij and M. Krein (1974) , J.L. Massera and J.J. Schäffer (1966) , N. van Minh, F. Räbiger and R. Schnaubelt (1998) . [Copyright &y& Elsevier] |
|
Copyright of Journal of Functional Analysis is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |