
arXiv: 1703.10962
Global random attractors and random point attractors for random dynamical systems have been studied for several decades. Here we introduce two intermediate concepts: $Δ$-attractors are characterized by attracting all deterministic compact sets of Hausdorff dimension at most $Δ$, where $Δ$ is a non-negative number, while cc-attractors attract all countable compact sets. We provide two examples showing that a given random dynamical system may have various different $Δ$-attractors for different values of $Δ$. It seems that both concepts are new even in the context of deterministic dynamical systems.
v1: 20 pages v2: 20 pages, corrected typos, streamlined proofs
random attractor, random dynamical system, Probability (math.PR), forward attractor, Attractors and repellers of smooth dynamical systems and their topological structure, Applications of stochastic analysis (to PDEs, etc.), Hausdorff dimension, Dynamical Systems (math.DS), weak attractor, 37H99, 37H10, 37B25, 37C70, FOS: Mathematics, Mathematics - Dynamical Systems, Generation, random and stochastic difference and differential equations, Mathematics - Probability, pullback attractor
random attractor, random dynamical system, Probability (math.PR), forward attractor, Attractors and repellers of smooth dynamical systems and their topological structure, Applications of stochastic analysis (to PDEs, etc.), Hausdorff dimension, Dynamical Systems (math.DS), weak attractor, 37H99, 37H10, 37B25, 37C70, FOS: Mathematics, Mathematics - Dynamical Systems, Generation, random and stochastic difference and differential equations, Mathematics - Probability, pullback attractor
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