Abstract
The weak mixing property for finite measure-preserving transformations has several equivalent characterizations. In infinite measure, many of them turn out to be different. We survey different mixing-like conditions for infinite measure-preserving transformations and discuss interconnectedness.
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- 1.
While the area of smooth dynamics is an important area for ergodic theory, we will not impose differentiability constraints in this survey. In practical terms, non-differentiable dynamical systems are seeing rapid applications as recurrent neural networks with programmed non-differentiable properties such as rectified linear units and max pooling. Also, neurological spiking is naturally modeled as a discontinuous process.
- 2.
Strong mixing is often referred to as mixing.
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We would like to thank the referee and Isaac Loh for suggestions and corrections.
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Adams, T., Silva, C.E. (2018). Weak Mixing for Infinite Measure Invertible Transformations. In: Ferenczi, S., Kułaga-Przymus, J., Lemańczyk, M. (eds) Ergodic Theory and Dynamical Systems in their Interactions with Arithmetics and Combinatorics. Lecture Notes in Mathematics, vol 2213. Springer, Cham. https://doi.org/10.1007/978-3-319-74908-2_17
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