Abstract
We prove an operator-valued Laplace multiplier theorem for causal translation-invariant linear operators which provides a characterization of continuity from H α(R,U) to H β(R,U) (fractional U-valued Sobolev spaces, U a complex Hilbert space) in terms of a certain boundedness property of the transfer function (or symbol), an operator-valued holomorphic function on the right-half of the complex plane. We identify sufficient conditions under which this boundedness property is equivalent to a similar property of the boundary function of the transfer function. Under the assumption that U is separable, the Laplace multiplier theorem is used to derive a Fourier multiplier theorem. We provide an application to mathematical control theory, by developing a novel input-output stability framework for a large class of causal translation-invariant linear operators which refines existing input-output stability theories. Furthermore, we show how our work is linked to the theory of well-posed linear systems and to results on polynomial stability of operator semigroups. Several examples are discussed in some detail.
Original language | English |
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Pages (from-to) | 729-773 |
Journal | Mathematics of Control, Signals, and Systems |
Volume | 36 |
Early online date | 30 May 2024 |
DOIs | |
Publication status | Published - 31 Dec 2024 |
Data Availability Statement
No datasets were generated or analysed during the current study.Funding
Chris Guiver\u2019s contribution to this work has been supported by a Personal Research Fellowship from the Royal Society of Edinburgh (RSE), and he expresses gratitude to the RSE for the financial support.
Funders | Funder number |
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Royal Society of Edinburgh |
Keywords
- 42A38
- 44A10
- 46E35
- 46E40
- 46F12
- 46F20
- 47A56
- 47N70
- 93B28
- 93C05
- 93C20
- 93C23
- 93D05
- 93D25
- Causal, translation-invariant operators
- Fourier transform
- Mathematical systems and control theory
- Operator-valued multipliers
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Control and Optimization
- Applied Mathematics