1983
DOI: 10.1137/0514007
|View full text |Cite
|
Sign up to set email alerts
|

Linear Functional Differential Equations as Semigroups on Product Spaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
98
1

Year Published

1996
1996
2017
2017

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 114 publications
(99 citation statements)
references
References 17 publications
0
98
1
Order By: Relevance
“…M 2 will be the ambient space where setting our problem. It can be proved (see Burns et al (1983) Theorem 2.3, page 102) that the operator…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…M 2 will be the ambient space where setting our problem. It can be proved (see Burns et al (1983) Theorem 2.3, page 102) that the operator…”
Section: Discussionmentioning
confidence: 99%
“…In the new (infinite dimensional) state equation (that is (33)) the lags in time disappear and the state equation reads as a standard stochastic evolution equation in the infinite dimensional space. To perform this first step we use first the results of Burns et al (1983) and Kappel and Zhang (1986) for deterministic NDE (Appendix A.2) and then we introduce the noise (Appendix A.3).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Later we shall return to this issue from an operator point of view. Let us consider know the operator model of the system (3) used in [18] (see also [2]):ẋ…”
Section: The Neutral Type System and The Infinite Dimensional Modelmentioning
confidence: 99%
“…where This model was used in particular in [18] for the analysis of the stability of the system (2) and in [15] for the analysis of the controllability problems (see also [2,10]). From the operator point of view, the regular feedback law (4) means a perturbation of the infinitesimal generator A by the operator BF which is relatively A-bounded (cf.…”
Section: The Neutral Type System and The Infinite Dimensional Modelmentioning
confidence: 99%