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math.DS2026

Weighted Birkhoff Averages Accelerate Data-Driven Methods

Maria Bou-Sakr-El-Tayar, Jason J. Bramburger, Matthew J. Colbrook

Many data-driven algorithms in dynamical systems rely on ergodic averages that converge painfully slowly. One simple idea changes this: taper the ends. Weighted Birkhoff averages c…

math.DS2025

Data-Driven Stabilisation of Unstable Periodic Orbits of the Three-Body Problem

Owen M. Brook, Jason J. Bramburger, Davide Amato +1

Many different models of the physical world exhibit chaotic dynamics, from fluid flows and chemical reactions to celestial mechanics. The study of the three-body problem (3BP) and…

math.DS2025

On the lattice property of the Koopman operator spectrum

Jason J. Bramburger

The Koopman operator has become a celebrated tool in modern dynamical systems theory for analyzing and interpreting both models and datasets. The linearity of the Koopman operator…

math.DS2025

Capturing the critical coupling of large random Kuramoto networks with graphons

Jason Bramburger, Matt Holzer

Collective oscillations and patterns of synchrony have long fascinated researchers in the applied sciences, particularly due to their far-reaching importance in chemistry, physics,…

math.DS2025

Localized synchronous patterns in weakly coupled bistable oscillators

Erik Bergland, Jason J Bramburger, Bjorn Sandstede

Motivated by numerical continuation studies of coupled mechanical oscillators, we investigate branches of localized time-periodic solutions of one-dimensional chains of coupled osc…