KAM algorithms for Lagrangian tori in time-quasi-periodic Hamiltonian systems

• We implement an algorithm whose proof is provided in [CHP25], based on the a-posteriori parameterization method. • The method applies to systems depending periodically or quasi-periodically on time. • Two illustrative examples are presented: a time-periodic Tokamak model (2-dimensional torus) and a quasi-periodically forced pendulum (3-dimensional torus). • For the Tokamak model, we estimate the threshold parameter for which the invariant torus breaks down, in agreement with the report in [VL21]. In this paper, we present an algorithm to compute (fiberwise) Lagrangian tori in periodic and quasi-periodic (QP) Hamiltonian systems, whose convergence is proved in [1], and an algorithm to continue them with respect to parameters. We exhibit the algorithm with two models. The first is a tokamak model [2, 3], which proposes a control method to create barriers to the diffusion of magnetic field lines through a small modification in the magnetic perturbation. In this context, we additionally estimate the breakdown threshold of the barrier in the tokamak model under study. The second model, is related to the vorticity defect model in fluid dynamics and to the single wave model in plasma physics [4], both of which arise from successive reductions of vorticity–velocity interactions.

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Publication Details

Journal
Communications in Nonlinear Science and Numerical Simulation
Published
2025-11-02
DOI
https://doi.org/10.1016/j.cnsns.2025.109445
Primary Topic
Quantum chaos and dynamical systems
Type
article
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article

KAM algorithms for Lagrangian tori in time-quasi-periodic Hamiltonian systems

Pedro J. Porras, Renato Calleja, Àlex Haro
Communications in Nonlinear Science and Numerical Simulation
Quantum chaos and dynamical systems
article

KAM algorithms for Lagrangian tori in time-quasi-periodic Hamiltonian systems

Pedro J. Porras, Renato Calleja, Àlex Haro
article en

Abstract

• We implement an algorithm whose proof is provided in [CHP25], based on the a-posteriori parameterization method. • The method applies to systems depending periodically or quasi-periodically on time. • Two illustrative examples are presented: a time-periodic Tokamak model (2-dimensional torus) and a quasi-periodically forced pendulum (3-dimensional torus). • For the Tokamak model, we estimate the threshold parameter for which the invariant torus breaks down, in agreement with the report in [VL21]. In this paper, we present an algorithm to compute (fiberwise) Lagrangian tori in periodic and quasi-periodic (QP) Hamiltonian systems, whose convergence is proved in [1], and an algorithm to continue them with respect to parameters. We exhibit the algorithm with two models. The first is a tokamak model [2, 3], which proposes a control method to create barriers to the diffusion of magnetic field lines through a small modification in the magnetic perturbation. In this context, we additionally estimate the breakdown threshold of the barrier in the tokamak model under study. The second model, is related to the vorticity defect model in fluid dynamics and to the single wave model in plasma physics [4], both of which arise from successive reductions of vorticity–velocity interactions.

Communications in Nonlinear Science and Numerical SimulationVol. 153
Centre de Recerca Matemàtica (ES), Universitat de Barcelona (ES), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 74%
Quantum chaos and dynamical systems
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KAM algorithms for Lagrangian tori in time-quasi-periodic Hamiltonian systems — Pedro J. Porras, Renato Calleja, et al. · Communications in Nonlinear Science and Numerical Simulation (2025) | TGRS Research Map | TGRS