# Registered Data

## [01000] Advances in random dynamical systems and ergodic theory

**Session Time & Room**:**Type**: Proposal of Minisymposium**Abstract**: Random or non-autonomous dynamical systems provide useful and flexible models to investigate systems whose evolution depends on external factors, such as noise or seasonal forcing. In recent years, there have been significant advances in the ergodic-theoretic investigation of random dynamical systems, allowing for an enhanced understanding of statistical properties, coherent structures, and the complicated interplay between noise and chaotic dynamics. This minisymposium presents the work of experts and emerging mathematicians working in this vibrant and evolving field, featuring both general-audience lectures giving an overview of the field, and expert-level talks on cutting-edge advances.**Organizer(s)**: Alex Blumenthal, Cecilia Gonzalez-Tokman**Classification**:__37H05__,__37H15__,__37H20__,__37A50__,__37C83__**Minisymposium Program**:- 01000 (1/3) :
__2D__@__F309__[Chair: Alex Blumenthal] **[01338] Random dynamical systems and multiplicative ergodic theorems****Format**: Talk at Waseda University**Author(s)**:**Cecilia Gonzalez Tokman**(University of Queensland)

**Abstract**: Random dynamical systems are flexible mathematical models for the study of complicated systems whose evolution is affected by external factors, such as seasonal cycles and random effects. This talk will start with a broad introduction to the area, with an emphasis on multiplicative ergodic theory. Then, we will review recent advances in the field, which provide fundamental information for the study of transport phenomena in such systems.

**[05504] Compound Poisson Statistics for Random Dynamical Systems via Spectral Perturbation****Format**: Talk at Waseda University**Author(s)**:**Jason Atnip**(University of Queensland)- Gary Froyland (UNSW Sydney)
- Cecilia Gonzalez Tokman (University of Queensland)
- Sandro Vaienti (Aix Marseille Universite)

**Abstract**: In this talk we discuss recent results concerning the return time statistics for deterministic and random dynamical systems. Taking a perturbative approach, we consider a decreasing sequence of holes in phase space which shrink to a point. For systems satisfying a spectral gap, we show that limiting distribution of return times to these shrinking holes is a compound Poisson distribution. We provide specific examples of classes of transformations for which the limiting distribution is Polya-Aeppli.

**[01905] Entropy and pressure formulas for conditioned random dynamical systems****Format**: Talk at Waseda University**Author(s)**:**Maximilian Engel**(Free University of Berlin)- Tobias Hurth (Free University of Berlin)

**Abstract**: Building upon recent results on Lyapunov eponents for memoryless random dynamical systems with absorption --- see Castro et al. 2022 ---, we establish the notion of metric entropy for this setting. We further discuss the relation between entropy, positive Lyapunov exponents and escape rates for such conditioned RDS, where the main example concerns the local dynamics of stochastic differential equations on bounded domains with escape through the boundary. This is joint work with Tobias Hurth.

- 01000 (2/3) :
__2E__@__F309__[Chair: Cecilia Gonzalez Tokman] **[01767] Lyapunov exponents for random perturbations of coupled standard maps****Format**: Talk at Waseda University**Author(s)**:- Alex Blumenthal (Georgia Tech)
**Jinxin Xue**(Tsinghua University)- Yun Yang (Virginia Tech)

**Abstract**: In this talk, we show how to give a quantitative estimate for the sum of the first N Lyapunov exponents for random perturbations of a natural class 2N-dimensional volume-preserving systems exhibiting strong hyperbolicity on a large but non invariant subset of phase space. Concrete models covered by our setting include systems of coupled standard maps, in both `weak' and `strong' coupling regimes. This is a joint work with Alex Blumenthal and Yun Yang.

**[05620] Shear-induced effects Random Dynamical Systems****Format**: Talk at Waseda University**Author(s)**:**Dennis Chemnitz**(Freie Universität Berlin)- Maximilian Engel (Freie Universität Berlin)

**Abstract**: The mechanism of shear-induced chaos was first demonstrated by Wang and Young for periodic orbits perturbed by deterministic periodic kicking. In this talk I will present recent results on shear-induced chaos, as well as shear-induced blow-up, in random dynamical systems generated by stochastic differential equations with additive noise.

**[02045] Horseshoes for a class of non-uniformly expanding random circle maps****Format**: Online Talk on Zoom**Author(s)**:**Giuseppe Tenaglia**(Imperial College London)

**Abstract**: We prove the abundance of horseshoe-like behavior in random circle endomorphisms with a positive Lyapunov exponent under large IID noise conditions. By satisfying a transitivity requirement towards an expanding full branch and effectively controlling the tails of hyperbolic times, our results prove that any two disjoint intervals almost surely exhibit horseshoe-like behavior with full probability.

- 01000 (3/3) :
__3C__@__F309__[Chair: Maximilian Engel] **[05540] Continuation of attractors of random dynamical systems with bounded noise****Format**: Talk at Waseda University**Author(s)**:**Jeroen Lamb**(Imperial College London)- Martin Rasmussen (Imperial College London)
- Konstantinos Kourliouros (Imperial College London)
- Dmitry Turaev (Imperial College London)
- Wei Hao Tey (IRCN, The University of Tokyo)
- Kalle Timperi (Oulu University)

**Abstract**: We study the problem of persistence of minimal invariant sets with smooth boundary for a class of discrete-time set-valued dynamical systems, naturally arising in the context of random dynamical systems with bounded noise. In particular, we introduce a single-valued map, the so-called boundary map, which has the property that a certain class of invariant submanifolds for this map is in one-to-one correspondence with invariant sets for the corresponding set-valued map. We show that minimal invariant sets with smooth boundary persist under small perturbations of the set-valued map, provided that the associated boundary map is normally hyperbolic at the unit normal bundle of the boundary.

**[05055] Noise-induced chaos and conditioned Lyapunov exponents in a random logistic map****Format**: Talk at Waseda University**Author(s)**:**Bernat Bassols Cornudella**(Imperial College London)- Jeroen SW Lamb (Imperial College London)

**Abstract**: We consider a random logistic map with bounded additive noise, in the parameter regime where the deterministic logistic map has a stable period three cycle. We demonstrate how the transition from noise-induced synchronisation (negative Lyapunov exponent) to noise-induced chaos (positive Lyapunov exponent), arising as a result of growing noise amplitude, can be understood through a two-compartment approximation, effectively modelling the competition between contracting and expanding behaviour. Relevant characteristic exit times and conditioned Lyapunov exponents for the predominantly contracting and expanding compartments are obtained through quasi-stationary and quasi-ergodic invariant measures.

**[01453] On the quasi-ergodicity of absorbing Markov chains with unbounded transition densities, including random logistic maps with escape****Format**: Online Talk on Zoom**Author(s)**:**Matheus Manzatto de Castro**(Imperial College London)- Jeroen S. W. Lamb (Imperial College London)
- Martin Rasmussen (Imperial College London)
- Vincent P. H. Goverse (Imperial College London)

**Abstract**: In this paper, we consider absorbing Markov chains $X_n$ admitting a quasi-stationary measure $\mu$ on $M$ where the transition kernel $\mathcal{P}$ admits an eigenfunction $0 \leq \eta \in L^1(M,μ)$. We find conditions on the transition densities of $\mathcal{P}$ with respect to $\mu$, which ensure that $\eta(x) \mu(\mathrm{d} x)$ is a quasi-ergodic measure for $X_n$ and that the Yaglom limit converges to the quasi-stationary measure μ-almost surely. We apply this result to the random logistic map $X_{n+1}=\omega_n X_n(1−X_n)$ absorbed at $\mathrm{R}\setminus [0,1]$, where $\omega_n$ is an i.i.d sequence of random variables uniformly distributed in $[a,b]$, for $1\leq a < 4$ and $b>4.$

- 01000 (1/3) :