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Related Concept Videos

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...
Linear time-invariant Systems01:23

Linear time-invariant Systems

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 calculated...
Second Order systems II01:18

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
If  ζ...
Small-Signal Analysis of MOSFET Amplifiers01:23

Small-Signal Analysis of MOSFET Amplifiers

In small-signal analysis, a MOSFET transistor amplifier acts as a linear amplifier when operating in its saturation region. The gate-to-source voltage (VGS) of the MOSFET is the sum of the DC biasing voltage and the small time-varying input signal. This combination sets up the operating point and modulates the drain current (ID) that flows from the drain to the source. When a small AC signal is superimposed on the DC bias voltage at the gate, the instantaneous drain current comprises three...
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...

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Updated: Jun 19, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Published on: June 8, 2018

Soliton singularity in the system with nonlinear gain.

V V Afanasjev

    Optics Letters
    |October 28, 2009
    PubMed
    Summary

    Nonlinearly stable solitons with spectral filtering experience radiation growth. Nonlinear gain can mitigate this, but analysis reveals an unexpected singularity in soliton amplitude.

    Area of Science:

    • Nonlinear optics
    • Optical solitons
    • Spectral filtering

    Background:

    • Solitons are stable nonlinear waves crucial in various optical systems.
    • Spectral filtering in soliton systems can lead to the growth of unwanted linear radiation.
    • Nonlinear gain offers a potential method to counteract radiation loss.

    Purpose of the Study:

    • To analyze the steady-state propagation of solitons in a system with spectral filtering and nonlinear gain.
    • To investigate the impact of nonlinear gain on soliton stability and radiation.
    • To identify and characterize any emergent singularities in soliton behavior.

    Main Methods:

    • Theoretical analysis of soliton dynamics under spectral filtering and nonlinear gain.
    • Mathematical modeling of steady-state soliton propagation.

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    Generation and Coherent Control of Pulsed Quantum Frequency Combs
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    Published on: June 8, 2018

    Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
    15:06

    Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle

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  • Investigation of amplitude behavior and singularity formation.
  • Main Results:

    • Solitons in spectrally filtered systems are prone to linear radiation growth, even when nonlinearly stable.
    • Nonlinear gain partially compensates for radiation loss but does not eliminate it.
    • An unexpected singularity in the soliton amplitude was discovered during steady-state propagation analysis.

    Conclusions:

    • The interplay between spectral filtering and nonlinear gain in soliton systems is complex.
    • While nonlinear gain can stabilize solitons, it can also lead to unexpected amplitude singularities.
    • Further research is needed to fully understand and control these phenomena in optical systems.