21 research outputs found
Lagrangian Descriptors for Stochastic Differential Equations: A Tool for Revealing the Phase Portrait of Stochastic Dynamical Systems
In this paper we introduce a new technique for depicting the phase portrait
of stochastic differential equations. Following previous work for deterministic
systems, we represent the phase space by means of a generalization of the
method of Lagrangian descriptors to stochastic differential equations.
Analogously to the deterministic differential equations setting, the Lagrangian
descriptors graphically provide the distinguished trajectories and hyperbolic
structures arising within the stochastic dynamics, such as random fixed points
and their stable and unstable manifolds. We analyze the sense in which
structures form barriers to transport in stochastic systems. We apply the
method to several benchmark examples where the deterministic phase space
structures are well-understood. In particular, we apply our method to the noisy
saddle, the stochastically forced Duffing equation, and the stochastic double
gyre model that is a benchmark for analyzing fluid transport
A Theoretical Framework for Lagrangian Descriptors
This paper provides a theoretical background for Lagrangian Descriptors
(LDs). The goal of achieving rigourous proofs that justify the ability of LDs
to detect invariant manifolds is simplified by introducing an alternative
definition for LDs. The definition is stated for -dimensional systems with
general time dependence, however we rigorously prove that this method reveals
the stable and unstable manifolds of hyperbolic points in four particular 2D
cases: a hyperbolic saddle point for linear autonomous systems, a hyperbolic
saddle point for nonlinear autonomous systems, a hyperbolic saddle point for
linear nonautonomous systems and a hyperbolic saddle point for nonlinear
nonautonomous systems. We also discuss further rigorous results which show the
ability of LDs to highlight additional invariants sets, such as -tori. These
results are just a simple extension of the ergodic partition theory which we
illustrate by applying this methodology to well-known examples, such as the
planar field of the harmonic oscillator and the 3D ABC flow. Finally, we
provide a thorough discussion on the requirement of the objectivity
(frame-invariance) property for tools designed to reveal phase space structures
and their implications for Lagrangian descriptors
The Chaotic Saddle in the Lozi Map, Autonomous and Nonautonomous Versions
In this paper, we prove the existence of a chaotic saddle for a piecewise-linear map of the plane, referred to as the Lozi map. We study the Lozi map in its orientation and area preserving version. First, we consider the autonomous version of the Lozi map to which we apply the Conley–Moser conditions to obtain the proof of a chaotic saddle. Then we generalize the Lozi map on a nonautonomous version and we prove that the first and the third Conley–Moser conditions are satisfied, which imply the existence of a chaotic saddle. Finally, we numerically demonstrate how the structure of this nonautonomous chaotic saddle varies as parameters are varied. </jats:p
Chaotic Dynamics in Nonautonomous Maps:Application to the Nonautonomous HĂ©non Map
In this paper, we analyze chaotic dynamics for two-dimensional nonautonomous maps through the use of a nonautonomous version of the Conley–Moser conditions given previously. With this approach we are able to give a precise definition of what is meant by a chaotic invariant set for nonautonomous maps. We extend the nonautonomous Conley–Moser conditions by deriving a new sufficient condition for the nonautonomous chaotic invariant set to be hyperbolic. We consider the specific example of a nonautonomous Hénon map and give sufficient conditions, in terms of the parameters defining the map, for the nonautonomous Hénon map to have a hyperbolic chaotic invariant set. </jats:p
Lagrangian descriptors for two dimensional, area preserving, autonomous and nonautonomous maps
Aspects of global dynamics in nonautonomous dynamical systems
Tesis doctoral inĂ©dita leĂda en la Universidad AutĂłnoma de Madrid, Facultad de Ciencias, Departamento de Matemáticas . Fecha de lectura: 27-04-201
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