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

Sound Waves: Interference00:53

Sound Waves: Interference

Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
Entropy Changes Accompanying Specific Processes01:21

Entropy Changes Accompanying Specific Processes

Entropy, a measure of disorder in a system, changes during phase transitions like freezing or boiling. At the transition temperature Ttrs, where two phases are in equilibrium, the phase transition is a reversible process. The entropy change can be calculated from a substance's enthalpy of transition using the equation ΔStrs = ΔtrsH /Ttrs.When a perfect gas expands isothermally from one volume to another, entropy increases logarithmically with volume. Conversely, isothermal compression results...
Interference: Path Lengths01:10

Interference: Path Lengths

Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Interference and Decay01:16

Interference and Decay

Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...

You might also read

Related Articles

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

Sort by
Same author

Accelerated Ostwald Ripening by Chemical Activity.

Journal of the American Chemical Society·2025
Same author

Intrinsic Wrinkling of Free-Standing Polycrystalline Atomically Thin Films.

ACS nano·2025
Same author

Accelerated Ostwald ripening by chemical activity.

ArXiv·2025
Same author

Second Law of Thermodynamics without Einstein Relation.

Physical review letters·2025
Same author

Uphill Drift in the Absence of Current in Single-File Diffusion.

Physical review letters·2024
Same author

Shear thickening in suspensions of particles with dynamic brush layers.

Soft matter·2024

Related Experiment Video

Updated: Jun 20, 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

Effective synchronization amid noise-induced chaos.

Benjamin Sorkin1, Thomas A Witten2

  • 1Princeton University, Princeton Center for Theoretical Science, Princeton, New Jersey 08544, USA.

Physical Review. E
|June 19, 2026
PubMed
Summary

Remote agents can synchronize chaotic clocks using disruptive noise. This method achieves effective synchronization even when strong forcing would normally disrupt it, enabling coordinated actions.

More Related Videos

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

Related Experiment Videos

Last Updated: Jun 20, 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

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

Area of Science:

  • Physics
  • Complex Systems
  • Information Theory

Background:

  • Synchronized clocks are essential for remote agents to act in concert and communicate.
  • Conventional noise-induced synchronization requires mild environmental forcing.
  • Stronger forcing typically disrupts clock synchronization.

Purpose of the Study:

  • To investigate clock synchronization under strong, disruptive noise conditions.
  • To explore the potential for synchronization beyond the conventional mild forcing regime.
  • To demonstrate a method for achieving effective synchronization with chaotic clock phases.

Main Methods:

  • Simulating two remote agents with synchronized clocks subjected to common environmental stochastic forcing.
  • Analyzing the regime of strong noise where relative clock phases evolve chaotically.
  • Developing and testing a simple realization of disruptive noise for synchronization.
  • Assessing statistical independence from initial conditions and effective phase estimation.

Main Results:

  • Clock phases became statistically independent of initial conditions after a defined timescale, despite erratic variations.
  • An effective phase estimation method was demonstrated, closely agreeing with the other agent's phase.
  • Synchronization was practically achieved even under strong, disruptive noise conditions.

Conclusions:

  • Effective clock synchronization is attainable in the strong noise regime, challenging previous limitations.
  • This approach extends the applicability of noise-induced synchronization for coordinated agent behavior.
  • The findings suggest new possibilities for communication and collaboration between remote agents.