When statistical assumptions do not hold and coherent structures are present in spatially extended systems such as fluid flows, flame fronts and field theories, a dynamical description of turbulent phenomena becomes necessary. In the dynamical systems approach, theory of turbulence for a given system, with given boundary conditions, is given by (a) the geometry of its infinite-dimensional state space and (b) the associated measure, that is, the likelihood that asymptotic dynamics visits a given state space region. In this thesis this vision is pursued in the context of Kuramoto-Sivashinsky system, one of the simplest physically interesting spatially extended nonlinear systems. With periodic boundary conditions, continuous translational s...
The results of extensive computations are presented in order to accurately characterize transitions ...
Spatiotemporal chaos, especially fluid turbulence, is ubiquitous in nature but can be difficult to c...
Practical methods, based upon linear systems theory, are explored for applications to nonlinear phen...
When statistical assumptions do not hold and coherent structures are present in spatially extended s...
Systems such as fluid flows in channels and pipes or the complex Ginzburg-Landau system, defined ove...
Systems such as fluid flows in channels and pipes or the complex Ginzburg–Landau system, defined ove...
The thesis develops two characterizations of spatio-temporal complex patterns. While these are devel...
The research in this thesis was motivated by a desire to understand the mixing properties of quasi-t...
The term spatiotemporal chaos refers to physical phenomena that exhibit irregular oscillations in bo...
Equilibrium solutions are believed to structure the pathways for ergodic trajectories in a dynamical...
The results of extensive numerical experiments of the spatially periodic initial value problem for t...
A dynamical systems approach to turbulence envisions the flow as a trajectory through a high-dimensi...
High- and infinite-dimensional nonlinear dynamical systems often exhibit complicated flow (spatiote...
The study of turbulence has been dominated historically by a bottom-up approach, with a much stro...
Dynamical systems theory is used to understand the dynamics of low-dimensional spatio-temporal chaos...
The results of extensive computations are presented in order to accurately characterize transitions ...
Spatiotemporal chaos, especially fluid turbulence, is ubiquitous in nature but can be difficult to c...
Practical methods, based upon linear systems theory, are explored for applications to nonlinear phen...
When statistical assumptions do not hold and coherent structures are present in spatially extended s...
Systems such as fluid flows in channels and pipes or the complex Ginzburg-Landau system, defined ove...
Systems such as fluid flows in channels and pipes or the complex Ginzburg–Landau system, defined ove...
The thesis develops two characterizations of spatio-temporal complex patterns. While these are devel...
The research in this thesis was motivated by a desire to understand the mixing properties of quasi-t...
The term spatiotemporal chaos refers to physical phenomena that exhibit irregular oscillations in bo...
Equilibrium solutions are believed to structure the pathways for ergodic trajectories in a dynamical...
The results of extensive numerical experiments of the spatially periodic initial value problem for t...
A dynamical systems approach to turbulence envisions the flow as a trajectory through a high-dimensi...
High- and infinite-dimensional nonlinear dynamical systems often exhibit complicated flow (spatiote...
The study of turbulence has been dominated historically by a bottom-up approach, with a much stro...
Dynamical systems theory is used to understand the dynamics of low-dimensional spatio-temporal chaos...
The results of extensive computations are presented in order to accurately characterize transitions ...
Spatiotemporal chaos, especially fluid turbulence, is ubiquitous in nature but can be difficult to c...
Practical methods, based upon linear systems theory, are explored for applications to nonlinear phen...