Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Forced Oscillations01:06

Forced Oscillations

When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so because...
Stability of structures01:14

Stability of structures

In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Flow-guided carriers: an <i>in vivo</i> study in zebrafish embryos.

Nanoscale·2026
Same author

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same author

Erratum: Numerical Simulations of the Epley Maneuver With Clinical Implications.

Ear and hearing·2026
Same author

Thermoregulable Magnetic Microfluidic Devices by Magnetic Hyperthermia from Iron Oxide Nanoparticles.

ACS applied nano materials·2025
Same author

Optimization of the Yacovino maneuver for superior canal BPPV using numerical simulations.

Hearing research·2025
Same author

Personalized medicine to treat refractory benign paroxysmal positional vertigo, through computational fluid dynamics analysis from magnetic resonance image reconstructions.

Frontiers in neurology·2025

Related Experiment Video

Updated: Jun 27, 2026

Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

Coexistence of Eckhaus instability in forced zigzag Turing patterns.

Igal Berenstein1, Alberto P Muñuzuri

  • 1Group of Nonlinear Physics, Universidade de Santiago de Compostela, E-15782 Santiago de Compostela, Spain. igal@fmares.usc.es

The Journal of Chemical Physics
|December 3, 2008
PubMed
Summary

Pattern-forming systems exhibit Eckhaus and zigzag instabilities when forced with mismatched wavelengths. These instabilities can coexist and interact, leading to pattern reorientation under traveling stripe forcing.

More Related Videos

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Related Experiment Videos

Last Updated: Jun 27, 2026

Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

Area of Science:

  • Nonlinear dynamics
  • Pattern formation physics

Background:

  • Wavelength selection is crucial in pattern-forming systems.
  • Two primary instabilities, Eckhaus and zigzag, arise from imposed wavelength mismatches.
  • These instabilities occur when the imposed wavelength is smaller (Eckhaus) or larger (zigzag) than the system's preferred wavelength.

Purpose of the Study:

  • Investigate the coexistence of Eckhaus and zigzag instabilities in a pattern-forming system.
  • Analyze the impact of forcing Turing patterns with slowly moving stripes.
  • Determine if coupled instabilities can induce pattern reorientation.

Main Methods:

  • Experimental setup involving Turing patterns.
  • Forcing patterns with slowly moving stripes at a specific wavelength ratio (1.5x preferred).
  • Observation and analysis of pattern dynamics and instabilities.

Main Results:

  • Demonstrated the coexistence of Eckhaus and zigzag instabilities under experimental conditions.
  • Observed that these instabilities occur when the imposed stripe wavelength is approximately 1.5 times the Turing pattern wavelength.
  • Showcased pattern reorientation resulting from the coupling of these instabilities.

Conclusions:

  • Eckhaus and zigzag instabilities are not mutually exclusive and can coexist in forced pattern-forming systems.
  • The interaction between these instabilities can drive significant changes in pattern orientation.
  • This study provides insights into the complex dynamics of pattern formation under external forcing.