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Related Concept Videos

Damped Oscillations01:07

Damped Oscillations

In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
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...
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.
Types of Damping01:20

Types of Damping

If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
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.
Limits with Oscillating Discontinuities01:19

Limits with Oscillating Discontinuities

An oscillating discontinuity is a type of discontinuity in which a function’s values fluctuate infinitely often as the input approaches a particular point. Unlike jump discontinuities, where the function suddenly shifts between two values, or infinite discontinuities, where the function diverges without bound, an oscillating discontinuity arises from rapid back-and-forth variation. Because the function never stabilizes toward a single value, no finite limit exists at that point.One of the most...

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Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
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Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Noise-sustained fluctuations in stochastic dynamics with a delay.

Paolo D'Odorico1, Francesco Laio, Luca Ridolfi

  • 1Department of Environmental Sciences, University of Virginia, 291 McCormick Road, Charlottesville, Virginia 22904-4123, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 12, 2012
PubMed
Summary

Noise can surprisingly enhance and sustain periodic oscillations in systems with delays. This study explores how random drivers interact with time delays, revealing conditions for these noise-induced dynamics in linear systems.

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Area of Science:

  • Mathematical modeling
  • Dynamical systems theory
  • Stochastic processes

Background:

  • Delayed responses are common in natural and engineered systems.
  • Time delays can cause oscillations and instabilities, even in linear systems.
  • The interplay between random drivers (noise) and time delays is not well understood.

Purpose of the Study:

  • To investigate if noise can induce or sustain periodic oscillations in systems with time delays.
  • To identify conditions governing the emergence and disappearance of these noise-induced dynamics.

Main Methods:

  • Analysis of a linear delayed stochastic differential equation.
  • Inclusion of both additive and multiplicative noise terms.
  • Examination of system dynamics under varying noise intensities and delay parameters.

Main Results:

  • Noise can significantly enhance and prolong transient periodic oscillations present in deterministic delayed systems.
  • Specific conditions related to noise type (additive/multiplicative) and system parameters influence the emergence and persistence of these oscillations.
  • Demonstration of noise-induced transient periodicity in a linear framework.

Conclusions:

  • The interaction of noise and time delays can lead to emergent oscillatory behaviors.
  • Understanding these dynamics is crucial for modeling systems with inherent delays and random fluctuations.
  • This research provides a foundation for further studies on noise-induced phenomena in complex delayed systems.