2019
DOI: 10.48550/arxiv.1910.04902
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Invariant probabilities for discrete time Linear Dynamics via Thermodynamic Formalism

Artur O. Lopes,
Ali Messaoudi,
M. Stadlbauer
et al.

Abstract: In this paper we show existence of invariant ergodic probability measures with full support associated to a suitable weighted shift L : X → X when X is a Banach space, either c 0 (R) or l p (R), 1 ≤ p < ∞. Fixing a Hölder continuous potential A, we associate to the weighted shift L a corresponding Ruelle operator L A and we prove that satisfies a generalized version of the Ruelle Perron Frobenius theorem. The invariant ergodic probability measure for L will be obtained in this way. These results are extended t… Show more

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Cited by 1 publication
(21 citation statements)
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“…For the discrete-time dynamical action of a bounded linear operator T : X → X on a Banach space X, the paper [GM14] present results about the existence of T -invariant probability measures with full support in the case that X is reflexive and separable. An extension of this result for a more general setting, including non-reflexive separable Banach spaces, was presented in [LMSV19]. This was obtained via the classical tool in Thermodynamic Formalism known as Ruelle-Perron-Frobenius Theorem.…”
Section: Introductionmentioning
confidence: 95%
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“…For the discrete-time dynamical action of a bounded linear operator T : X → X on a Banach space X, the paper [GM14] present results about the existence of T -invariant probability measures with full support in the case that X is reflexive and separable. An extension of this result for a more general setting, including non-reflexive separable Banach spaces, was presented in [LMSV19]. This was obtained via the classical tool in Thermodynamic Formalism known as Ruelle-Perron-Frobenius Theorem.…”
Section: Introductionmentioning
confidence: 95%
“…When the potential is of Hölder class several nice properties can be derived for its corresponding Gibbs states (see for instance [PP90]). In [LMSV19] the authors show the existence of T -invariant probabilities with full support using the Gibbs state point of view.…”
Section: Introductionmentioning
confidence: 99%
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