English

Superdiffusive limits for deterministic fast-slow dynamical systems

Dynamical Systems 2020-10-30 v2 Probability

Abstract

We consider deterministic fast-slow dynamical systems on Rm×Y\mathbb{R}^m\times Y of the form {xk+1(n)=xk(n)+n1a(xk(n))+n1/αb(xk(n))v(yk)  ,yk+1=f(yk)  , \begin{cases} x_{k+1}^{(n)} = x_k^{(n)} + n^{-1} a(x_k^{(n)}) + n^{-1/\alpha} b(x_k^{(n)}) v(y_k)\;,\quad y_{k+1} = f(y_k)\;, \end{cases} where α(1,2)\alpha\in(1,2). Under certain assumptions we prove convergence of the mm-dimensional process Xn(t)=xnt(n)X_n(t)= x_{\lfloor nt \rfloor}^{(n)} to the solution of the stochastic differential equation  ⁣dX=a(X) ⁣dt+b(X) ⁣dLα  , \mathop{}\!\mathrm{d} X = a(X)\mathop{}\!\mathrm{d} t + b(X) \diamond \mathop{}\!\mathrm{d} L_\alpha \; , where LαL_\alpha is an α\alpha-stable L\'evy process and \diamond indicates that the stochastic integral is in the Marcus sense. In addition, we show that our assumptions are satisfied for intermittent maps ff of Pomeau-Manneville type.

Keywords

Cite

@article{arxiv.1907.04825,
  title  = {Superdiffusive limits for deterministic fast-slow dynamical systems},
  author = {Ilya Chevyrev and Peter K. Friz and Alexey Korepanov and Ian Melbourne},
  journal= {arXiv preprint arXiv:1907.04825},
  year   = {2020}
}

Comments

36 pages, 3 figures. Minor revision. To appear in Probability Theory and Related Fields

R2 v1 2026-06-23T10:17:42.758Z