Related Experiment Video
Updated: Apr 1, 2026

06:52
4D Printed Bifurcated Stents with Kirigami-Inspired Structures
Published on: July 25, 2019
8.6K
Invariant manifolds and global bifurcations.
John Guckenheimer1, Bernd Krauskopf2, Hinke M Osinga2
1Department of Mathematics, Cornell University, Ithaca, New York 14853, USA.
Chaos (Woodbury, N.Y.)
|October 3, 2015
Summary
Invariant manifolds are crucial for understanding dynamical systems, partitioning phase spaces and leading to global bifurcations. Recent advancements have improved their theory and computation, with ongoing research addressing open problems.
Area of Science:
- Mathematics
- Dynamical Systems Theory
- Differential Equations
Background:
- Invariant manifolds are fundamental to understanding the geometric structure of dynamical systems.
- They include stable, unstable, center manifolds, invariant tori, and slow manifolds.
- Their intersections and parameter variations lead to global bifurcations.
Purpose of the Study:
- To review recent progress in the theory and computational methods for invariant manifolds.
- To highlight key achievements in the field over the past 25 years.
- To identify remaining open problems in invariant manifold research.
Main Methods:
- Theoretical analysis of dynamical systems.
- Development of computational techniques for manifold computation.
- Review of existing literature and research findings.
Main Results:
- Significant advancements in the theory of invariant manifolds.
- Improved computational methods for identifying and analyzing invariant manifolds.
- Identification of critical areas for future research in dynamical systems.
Conclusions:
- The theory and computation of invariant manifolds have seen substantial progress.
- Invariant manifolds remain central to understanding global bifurcations and system dynamics.
- Further research is needed to address outstanding challenges in the field.
More Related Videos
Related Concept Videos
BIBO stability of continuous and discrete -time systems
1.1K
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
1.1K
Linear time-invariant Systems
1.1K
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
1.1K
Stability
480
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
480
Pole and System Stability
1.3K
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
1.3K
Divergence and Stokes' Theorems
4.1K
The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
4.1K
Unsymmetric Bending
957
Unsymmetrical bending occurs when the bending moment applied to a structural member does not align with its principal axis. This misalignment leads to complex stress distributions and deflection patterns that differ from those in symmetrical bending, and are essential for designing structures to withstand different loading conditions. In unsymmetrical bending, the neutral axis—where stress is zero—does not necessarily align with the geometric axes of the cross-section. The...
957

