2–5 Jul 2024
Osijek
Europe/Zagreb timezone

Statistical properties of random dynamical systems

2 Jul 2024, 14:00
50m
D1 (Faculty of Economics and Business, J. J. Strossmayer University of Osijek)

D1

Faculty of Economics and Business, J. J. Strossmayer University of Osijek

Trg Ljudevita Gaja 7, Osijek
Plenary lecture DS/ODE: Dynamical Systems, Ordinary Differential Equations and Applications Plenary lecture

Speaker

Davor Dragičević

Description

We will survey a number of recent results dealing with statistical properties of dynamical systems exhibiting some hyperbolicity. These include various limit theorems (central limit theorem, large deviation principle, almost sure invariance principle etc.) as well as statistical stability and linear response.

References:

[1] D. Dragičević, G. Froyland, C. Gonzalez-Tokman and S. Vaienti, A spectral approach for quenched limit theorems for random expanding dynamical systems, Comm. Math. Phys. 360 (2018), 1121-1187.
[2] D. Dragičević, G. Froyland, C. Gonzalez-Tokman and S. Vaienti, Almost sure invariance principle for random piecewise expanding maps, Nonlinearity 31 (2018), 2252-2280.
[3] D. Dragičević, G. Froyland, C. Gonzalez-Tokman and S. Vaienti, A spectral approach for quenched limit theorems for random hyperbolic dynamical systems, Trans. Amer. Math. Soc. 373 (2020), 629-664.
[4] D. Dragičević and Y. Hafouta, Almost sure invariance principle for random dynamical systems via Gouëzel's approach, Nonlinearity 34 (2021), 6773-6798.
[5] D. Dragičević and J. Sedro, Statistical stability and linear response for random hyperbolic dynamics, Ergodic Theory Dynam. Systems 43 (2023), 515-544.
[6] D. Dragičević, Y. Hafouta and J. Sedro, A vector-valued almost sure invariance principle for random expanding on average cocycles, J. Stat. Phys. 190 (2023), 38pp.
[7] D. Dragičević, P. Giulietti and J. Sedro, Quenched linear response for smooth expanding on average cocycles, Comm. Math. Phys. 399 (2023), 423-452.
[8] D. Dragičević and Y. Hafouta, Effective quenched linear response for random dynamical systems, in preparation.

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