Lyapunov Exponents of Linear Cocycles: Continuity via Large Deviations (eng). Questo articolo non è disponibile.
Lingua: inglese
Editore: Atlantis Press, 2016
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Codice articolo 71c83bab25fe93103c07579b6d6b1270
- Titolo
- Lyapunov Exponents of Linear Cocycles: Continuity via Large Deviations (eng)
- Autore
- Duarte, Pedro
- Editore
- Atlantis Press
- Anno di pubblicazione
- 2016
- Condizione
- new
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 9462391238
- ISBN 13
- 9789462391239
- Peso dell'articolo
- 0,56 chilogrammi
The aim of this monograph is to present a general method of proving continuity of Lyapunov exponents of linear cocycles. The method uses an inductive procedure based on a general, geometric version of the Avalanche Principle. The main assumption required by this method is the availability of appropriate large deviation type estimates for quantities related to the iterates of the base and fiber dynamics associated with the linear cocycle. We establish such estimates for various models of random and quasi-periodic cocycles. Our method has its origins in a paper of M. Goldstein and W. Schlag. Our present work expands upon their approach in both depth and breadth. We conclude this monograph with a list of related open problems, some of which may be treated using a similar approach.
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Dalla quarta di copertina
The aim of this monograph is to present a general method of proving continuity of Lyapunov exponents of linear cocycles. The method uses an inductive procedure based on a general, geometric version of the Avalanche Principle. The main assumption required by this method is the availability of appropriate large deviation type estimates for quantities related to the iterates of the base and fiber dynamics associated with the linear cocycle. We establish such estimates for various models of random and quasi-periodic cocycles. Our method has its origins in a paper of M. Goldstein and W. Schlag. Our present work expands upon their approach in both depth and breadth. We conclude this monograph with a list of related open problems, some of which may be treated using a similar approach.
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