activity
20172021
collaborators

6 papers

math.DS2021

Dynamical system analysis of a data-driven model constructed by reservoir computing

Miki U Kobayashi, Kengo Nakai, Yoshitaka Saiki +1

This study evaluates data-driven models from a dynamical system perspective, such as unstable fixed points, periodic orbits, chaotic saddle, Lyapunov exponents, manifold structures…

math.DS2018

Quasiperiodic orbits in Siegel disks/balls and the Babylonian problem

Yoshitaka Saiki, James A. Yorke

We investigate numerically complex dynamical systems where a fixed point is surrounded by a disk or ball of quasiperiodic orbits, where there is a change of variables (or conjugacy…

nlin.CD2018

Low-dimensional paradigms for high-dimensional hetero-chaos

Yoshitaka Saiki, Miguel A. F. Sanjuan, James A. Yorke

The dynamics on a chaotic attractor can be quite heterogeneous, being much more unstable in some regions than others. Some regions of a chaotic attractor can be expanding in more d…

physics.comp-ph2018

Machine-learning inference of fluid variables from data using reservoir computing

Kengo Nakai, Yoshitaka Saiki

We infer both microscopic and macroscopic behaviors of a three-dimensional chaotic fluid flow using reservoir computing. In our procedure of the inference, we assume no prior knowl…

nlin.CD2018

The continuous route to multi-chaos

Yoshitaka Saiki, Miguel A. F. Sanjuan, James A. Yorke

For low-dimensional chaotic attractors there is usually a single number of unstable dimensions for all of its periodic orbits and we can say such attractors exhibit "mono-chaos". I…

math.DS2017

Solving the Babylonian Problem of quasiperiodic rotation rates

Suddhasattwa Das, Yoshitaka Saiki, Evelyn Sander +1

A trajectory is quasiperiodic if the trajectory lies on and is dense in some -dimensional torus, and there is a choice of coordinates on the…