Mixing of linear operators under infinitely divisible measures on Banach spaces
The mixing and ergodicity of Gaussian measures have been characterized in terms of their covariances, first for random sequences, and then in the framework of linear dynamics on Banach spaces. In this paper, we extend the latter results to the setting of infinitely divisible measures on Banach space...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/175812 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The mixing and ergodicity of Gaussian measures have been characterized in terms of their covariances, first for random sequences, and then in the framework of linear dynamics on Banach spaces. In this paper, we extend the latter results to the setting of infinitely divisible measures on Banach spaces, by deriving necessary and sufficient conditions for the strong and weak mixing of linear operators. Our approach relies on characterizations of mixing for infinitely divisible random sequences, and replaces the use of using covariance operators with codifference functionals and control measures on Banach spaces. Our results are then specialized in explicit form to α-stable measures, with examples of linear operators satisfying the required measure invariance conditions. |
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