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Empirical central limit theorems for ergodic automorphisms of the torus
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Let T be an ergodic automorphism of the d-dimensional torus T^d, and f be a continuous function from T^d to R^l. On the probability space T^d equipped with the Lebesgue-Haar measure, we prove the weak convergence of the sequential empirical process of the sequence (f o T^i)_{i \geq 1} under some mild conditions on the modulus of continuity of f. The proofs are based on new limit theorems and new inequalities for non-adapted sequences, and on new estimates of the conditional expectations of f with respect to a natural filtration.
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Two Instances of Chaos in Deterministic and Quantum Dynamical Systems
Ergodic torus automorphisms with 2D center are stably ergodic, and graph families with regular integrated density of states have asymptotically dense delocalization.
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