We study the asymptotic behavior of random time changes of dynamical systems. As random time changes we propose three classes which exhibits different patterns of asymptotic decays. The subordination principle may be applied to study the asymptotic behavior of the random time dynamical systems. It turns out that for the special case of stable subordinators explicit expressions for the subordination are known and its asymptotic behavior are derived. For more general classes of random time changes explicit calculations are essentially more complicated and we reduce our study to the asymptotic behavior of the corresponding Cesaro limit
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
Abstract. We show aging of Glauber-type dynamics on the random energy model, in the sense that we ob...
In this paper we study the dynamical behavior of linear discrete-time fractional systems. The first ...
Kondratiev Y, da Silva J. Cesaro Limits for Fractional Dynamics. Fractal and Fractional. 2021;5(4): ...
Kochubei AN, Kondratiev Y, da Silva JL. Random time change and related evolution equations. Time asy...
Kochubei AN, Kondratiev Y, da Silva JL. FROM RANDOM TIMES TO FRACTIONAL KINETICS. INTERDISCIPLINARY ...
International audienceMotivated by the study of the time evolution of random dynamical systems arisi...
It is well-known that compositions of Markov processes with inverse subordinators are governed by i...
Kondratiev Y, da Silva JL. Random Times for Markov Processes with Killing. Fractal and Fractional. 2...
24 pagesMotivated by the study of the time evolution of random dynamical systems arising in a vast v...
We consider subordinators in the domain of attraction at 0 of a stable subordinator (where ); thus...
AbstractA Moderate Deviation Principle is established for random processes arising as small random p...
Many dynamical processes on real world networks display complex temporal patterns as, for instance,...
We consider continuous-time Markov chains on integers which allow transitions to adjacent states onl...
We consider continuous-time Markov chains on integers which allow transitions to adjacent states onl...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
Abstract. We show aging of Glauber-type dynamics on the random energy model, in the sense that we ob...
In this paper we study the dynamical behavior of linear discrete-time fractional systems. The first ...
Kondratiev Y, da Silva J. Cesaro Limits for Fractional Dynamics. Fractal and Fractional. 2021;5(4): ...
Kochubei AN, Kondratiev Y, da Silva JL. Random time change and related evolution equations. Time asy...
Kochubei AN, Kondratiev Y, da Silva JL. FROM RANDOM TIMES TO FRACTIONAL KINETICS. INTERDISCIPLINARY ...
International audienceMotivated by the study of the time evolution of random dynamical systems arisi...
It is well-known that compositions of Markov processes with inverse subordinators are governed by i...
Kondratiev Y, da Silva JL. Random Times for Markov Processes with Killing. Fractal and Fractional. 2...
24 pagesMotivated by the study of the time evolution of random dynamical systems arising in a vast v...
We consider subordinators in the domain of attraction at 0 of a stable subordinator (where ); thus...
AbstractA Moderate Deviation Principle is established for random processes arising as small random p...
Many dynamical processes on real world networks display complex temporal patterns as, for instance,...
We consider continuous-time Markov chains on integers which allow transitions to adjacent states onl...
We consider continuous-time Markov chains on integers which allow transitions to adjacent states onl...
Random recurrence relations are stochastic difference equations, which define recursively a sequence...
Abstract. We show aging of Glauber-type dynamics on the random energy model, in the sense that we ob...
In this paper we study the dynamical behavior of linear discrete-time fractional systems. The first ...