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Research Papers & Publications

Publications from the SCIGMA project and related work in computational dynamics, focusing on the visualization and computation of invariant manifolds in dynamical systems.

Two-dimensional invariant manifolds and global bifurcations: some approximation and visualization studies[PDF]

Authors: M.E. Johnson, M.S. Jolly, and I.G. Kevrekidis

Published: Numerical Algorithms, Vol. 14 (1997), No. I-III

Also appears as: University of Minnesota Supercomputer Institute Research Report 96/108, May 1996

Abstract:

We illustrate and discuss the computer-assisted study (approximation and visualization) of two-dimensional (un)stable manifolds of steady states and saddle-type limit cycles for flows in ℝⁿ. Our investigation highlights a number of computational issues arising in this task, along with our solutions and "quick-fixes" for some of these problems. Two examples illustrative of both successes and shortcomings of our current approach are presented. Representative "snapshots" demonstrate the dependence of two-dimensional invariant manifolds on a bifurcation parameter as well as their interactions. Such approximation and visualization studies are a necessary component of the computer-assisted study and understanding of global bifurcations.

Key Contributions:

  • Novel algorithms for computing 2D stable and unstable manifolds
  • Interactive visualization techniques for complex dynamical structures
  • Practical solutions to computational challenges in manifold approximation
  • Framework for studying global bifurcations through visualization

The Oseberg Transition: Visualization of Global Bifurcations for the Kuramoto-Sivashinsky Equation[PDF]

Authors: I.G. Kevrekidis, M.S. Jolly, Y. Gao, and M.E. Johnson

Published: International Journal of Bifurcation and Chaos, 2001

Abstract:

We demonstrate, through a combination of numerical computation and visualization, the existence of a previously undetected global bifurcation in the Kuramoto-Sivashinsky equation. This bifurcation, which we term the "Oseberg transition," involves the creation of a heteroclinic connection between two saddle periodic orbits. The visualization techniques developed for this study reveal the intricate structure of the phase space and the complex interactions between invariant manifolds.

Kuramoto-Sivashinsky Equation Studies

Extensive work on the Kuramoto-Sivashinsky equation (KSE), a paradigmatic model for spatiotemporal chaos, formed the core of the PhD thesis work at Princeton.

Research Focus:

  • Computational detection of homoclinic and heteroclinic orbits
  • Visualization of the "cup" and "boat" structures in phase space
  • Period-doubling cascades and routes to chaos
  • Silnikov phenomena in the KSE

This work contributed to understanding how coherent structures emerge and interact in spatially extended systems, with applications to fluid dynamics and pattern formation.

Inertial Manifolds for the Shifted Kuramoto-Sivashinsky Equation

Work on proving the existence of inertial manifolds for the shifted KSE (SKSE) under specific symmetry conditions, extending the theory of spectral barriers.

This theoretical work demonstrated how spatial inhomogeneities affect the long-time dynamics of PDEs, with implications for understanding pattern formation in non-uniform media.

SCIGMA Software Documentation

SCIGMA (Stability Computations and Interactive Graphics for invariant Manifold Analysis) was documented in various forms:

  • I.G. Kevrekidis and M.S. Jolly (1987)
    "On the use of interactive graphics in the numerical study of chemical dynamics"
    Annual AIChE meeting, paper no. 22c
  • M.A. Taylor (1992)
    "Couple, double, toil and trouble: dynamics behavior of coupled oscillatory reacting systems"
    PhD dissertation, Princeton University
    (Used SCIGMA extensively)

Computational Methods and Algorithms

Development of numerical methods for:

Manifold Computation

  • Geodesic level set algorithm
  • Adaptive mesh refinement
  • Boundary value problem formulations
  • Continuation methods

Visualization Techniques

  • Real-time 3D rendering on SGI workstations
  • Interactive parameter exploration
  • Color-coded stability information
  • Animation of dynamical evolution

Impact and Legacy

The SCIGMA project and associated research contributed to:

  • Advancement of computational methods in dynamical systems
  • Development of interactive scientific visualization tools
  • Understanding of global bifurcations in physical systems
  • Training of a generation of computational scientists
"The construction of software to be used by scientists and mathematicians alike in the study of phase-, parameter-, and physical-space of dynamical systems with the hopes of creating a means by which one can perform robust numerical experiments."

This work was conducted during the mid-1990s when scientific visualization was emerging as a field, SGI workstations were the pinnacle of graphics computing, and the web was just beginning to transform scientific communication. The vision of interactive, web-based scientific computation would take another decade to fully realize, but these early efforts helped pave the way.

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