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...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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.
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...
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:
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...

You might also read

Related Articles

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

Sort by
Same author

Delay induced double explosive transition in a swarmalator system.

Physical review. E·2026
Same author

Accuracy and Bias of Pulse Oximetry in the Intensive Care Unit: A Prospective Observational Study.

Nursing in critical care·2026
Same author

Annealing approximation in master-node network model.

Physical review. E·2026
Same author

Mobile oscillators in a mobile multi-cluster network.

Chaos (Woodbury, N.Y.)·2025
Same author

Expected and unexpected routes to synchronization in a system of swarmalators.

Physical review. E·2025
Same author

Master stability functions of networks of Izhikevich neurons.

Physical review. E·2024

Related Experiment Video

Updated: May 30, 2026

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

Multistable behavior above synchronization in a locally coupled Kuramoto model.

Paulo F C Tilles1, Fernando F Ferreira, Hilda A Cerdeira

  • 1Instituto de Física Teórica UNESP - Universidade Estadual Paulista, Rua Dr Bento Teobaldo Ferraz, 271, Bloco II, Barra Funda, 01140-070 São Paulo, Brazil.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 30, 2011
PubMed
Summary

This study investigates coupled oscillators in a ring, revealing diverse solutions above the synchronization transition within a specific solvability region. Solution characteristics depend on their location within this region as coupling strength increases.

More Related Videos

Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

Basic Caenorhabditis elegans Methods: Synchronization and Observation
11:34

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Published on: June 10, 2012

Related Experiment Videos

Last Updated: May 30, 2026

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

Basic Caenorhabditis elegans Methods: Synchronization and Observation
11:34

Basic Caenorhabditis elegans Methods: Synchronization and Observation

Published on: June 10, 2012

Area of Science:

  • Complex systems
  • Nonlinear dynamics
  • Statistical physics

Background:

  • The Kuramoto model describes synchronization in coupled oscillators.
  • Understanding emergent behavior in coupled systems is crucial.

Purpose of the Study:

  • To explore solutions in a ring of nearest-neighbor coupled Kuramoto-like oscillators above the critical synchronization transition.
  • To characterize solutions based on their emergence within the solvability region.

Main Methods:

  • Analysis of a system of coupled oscillators.
  • Investigation of solutions within a defined solvability region (SR).
  • Study of solution evolution with increasing coupling strength.

Main Results:

  • A variety of solutions emerge as coupling strength increases.
  • Solutions are confined to a specific solvability region (SR).
  • Solution characteristics vary based on their position on the SR boundary.

Conclusions:

  • The study identifies a rich set of solutions in coupled oscillator systems.
  • The solvability region dictates the existence and characteristics of these solutions.
  • A phase space diagram of solutions was determined.