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相关概念视频

Forced Oscillations01:06

Forced Oscillations

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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.
6.6K
Damped Oscillations01:07

Damped Oscillations

5.8K
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...
5.8K
Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

5.4K
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...
5.4K
Pole and System Stability01:24

Pole and System Stability

324
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
324
Magnetostatic Boundary Conditions01:28

Magnetostatic Boundary Conditions

993
An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
993
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

335
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
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相关实验视频

Updated: Jul 16, 2025

Magnetically Induced Rotating Rayleigh-Taylor Instability
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Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

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噪声交叉相关性可以诱导合驱动模型中的不稳定性.

Sudip Mukherjee1

  • 1Barasat Government College, 10, KNC Road, Gupta Colony, Barasat, Kolkata 700124, West Bengal, India.

Physical review. E
|September 19, 2023
PubMed
概括

噪声交叉相关性可以破坏驱动的不平衡系统的稳定. 这项研究揭示了这些相关性如何,即使在稳定的模型中,也可以诱导动态系统的不稳定性,影响它们的稳定状态.

科学领域:

  • 统计物理学的统计物理.
  • 非线性动力学是一种非线性动力学.
  • 复杂的系统复杂的系统.

背景情况:

  • 驱动的,不平衡的系统在各种科学领域都至关重要.
  • 了解稳定状态需要分析随机过程.
  • 噪音相关性可以显著改变系统行为.

研究的目的:

  • 调查噪声交叉相关性对驱动,不平衡系统稳定状态的影响.
  • 在一个维度中分析一个与两个随机驱动的动态变量合的模型.
  • 为了确定交叉相关性如何影响系统稳定性.

主要方法:

  • 利用一个众所周知的随机驱动的合模型与两个动态变量.
  • 引入了动态方程中噪声之间的交叉相关性.
  • 分析了基于非线性合的不稳定性的出现.

主要成果:

  • 噪声交叉相关性可以在其他情况下稳定的模型中诱导不稳定性.
  • 不稳定的出现取决于动态场之间的非线性合.
  • 观察到的现象与Kardar-Parisi-Zhang方程中的粗化过渡相似,尺寸>2.

结论:

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  • 噪声交叉相关性是确定驱动,不平衡系统稳定的关键因素.
  • 这些发现对理解复杂现象和物理系统中的过渡有意义.
  • 进一步的研究可以探索更广泛的应用和理论框架.