activity
20152026
most citedMachine-learning inference of fluid variables from data using reservoir computing

83 citations · 260 across the 21 of their papers we have counts for

collaborators
Showing math.DSShow all

12 papers · 1 filter

math.DS2026

Finite Invariant Sets with Bridging Points in Logistic IFS

Hibiki Kato, Tamotsu Onozaki, Yoshitaka Saiki +1

We investigate iterated function systems (IFS) that randomly alternate between two non-identical one-dimensional maps as simple models of regime-switching dynamical systems. Our pr…

math.DS2024

The dynamics of the heterochaos baker maps

Yoshitaka Saiki, Hiroki Takahasi, Kenichiro Yamamoto +1

The heterochaos baker maps are piecewise affine maps of the unit square or cube introduced in [Nonlinearity 34, 2021, 5744--5761], to provide a hands-on, elementary understanding o…

math.DS2023

Constructing low-dimensional ordinary differential equations from chaotic time series of high/infinite-dimensional systems using radial function-based regression

Natsuki Tsutsumi, Kengo Nakai, Yoshitaka Saiki

In our previous study (N. Tsutsumi, K. Nakai and Y. Saiki (2022)) we proposed a method of constructing a system of differential equations of chaotic behavior only from observable d…

math.DS2022★ 3 cited

Constructing differential equations using only a scalar time-series about continuous time chaotic dynamics

Natsuki Tsutsumi, Kengo Nakai, Yoshitaka Saiki

We propose a simple method of constructing a system of differential equations of chaotic behavior based on the regression only from a scalar observable time-series data. The estima…

math.DS2022

The twisted baker map

Yoshitaka Saiki, Hiroki Takahasi, James A. Yorke

As a model to provide a hands-on, elementary understanding of "vortex dynamics", we introduce a piecewise linear non-invertible map called a twisted baker map. We show that the set…

math.DS2021★ 24 cited

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.DS2020

Hausdorff dimension of Cantor intersections and robust heterodimensional cycles for heterochaos horseshoe maps

Yoshitaka Saiki, Hiroki Takahasi, James A. Yorke

As a model to provide a hands-on, elementary understanding of chaotic dynamics in dimension three, we introduce a -open set of diffeomorphisms of having two hors…

math.DS2018★ 1 cited

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…

math.DS2018★ 28 cited

Piecewise-linear maps with heterogeneous chaos

Yoshitaka Saiki, Hiroki Takahasi, James A. Yorke

Chaotic dynamics can be quite heterogeneous in the sense that in some regions the dynamics are unstable in more directions than in other regions. When trajectories wander between t…

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…

math.DS2016★ 46 cited

Quantitative Quasiperiodicity

Suddhasattwa Das, Yoshitaka Saiki, Evelyn Sander +1

The Birkhoff Ergodic Theorem concludes that time averages, i.e., Birkhoff averages, of a function along a length ergodic trajectory of a fu…

math.DS2015

Quantitative Quasiperiodicity

Suddhasattwa Das, Yoshitaka Saiki, Evelyn Sander +1

The Birkhoff Ergodic Theorem concludes that time averages, that is, Birkhoff averages, of a function along an ergodic trajectory of a function …