使用精确的有限差方法解决异常扰乱的弗雷德霍尔姆整微分方程.
Solomon Regasa Badeye1, Mesfin Mekuria Woldaregay2, Tekle Gemechu Dinka1
1Department of Applied Mathematics, Adama Science and Technology University, Adama, Ethiopia.
BMC research notes
|September 28, 2023
概括
这项研究引入了一种新型的数值方案,用于异常扰乱的弗雷德霍尔姆整微分方程. 该方法实现了二次统一的融合,通过理论分析和计算结果进行验证.
科学领域:
- 数字分析 数字分析
- 计算数学 计算数学 计算数学
- 微分方程 微分方程 微分方程
背景情况:
- 奇异扰乱的弗雷德霍尔姆整微分方程带来了重大的数值挑战.
- 现有的方法可能会在各种参数值的统一收方面扎.
研究的目的:
- 设计和分析一个新型的数值方案,用于单一扰乱的弗雷德霍尔姆整微分方程.
- 确保拟议方法的稳定性和统一的趋同.
主要方法:
- 该方案结合了对差分部分的精确 (非标准) 有限差方法.
- 复合的辛普森的1/3规则用于不可分割的部分.
主要成果:
- 稳定性和均收被严格分析,使用溶液和截断误差极限.
- 计算结果证明了模型示例的第二阶统一收.
- 该方法显示了理论预测和数值结果之间的绝佳一致性.
结论:
- 拟议的数值方案是有效和准确的解决目标方程.
- 该方法在不同的扰动参数和网格大小中表现出强大的性能.
- 这项工作为这些复杂方程的数值解决提供了有价值的工具.
相关概念视频
Second Order systems II
125
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.
125
Linear Approximation in Time Domain
96
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,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
96
Differential Form of Maxwell's Equations
508
James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...
508
Difference Equation Solution using z-Transform
317
The z-transform is a powerful tool for analyzing practical discrete-time systems, often represented by linear difference equations. Solving a higher-order difference equation requires knowledge of the input signal and the initial conditions up to one term less than the order of the equation.
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
317
Transmission-Line Differential Equations
329
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...
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...
329
Properties of DTFT II
216
In the study of discrete-time signal processing, understanding the properties of the Discrete-Time Fourier Transform (DTFT) is crucial for analyzing and manipulating signals in the frequency domain. Several properties, including frequency differentiation, convolution, accumulation, and Parseval's relation, offer powerful tools for signal analysis.
The frequency differentiation property is illustrated by considering a DTFT pair and differentiating both sides with respect to ω.
The frequency differentiation property is illustrated by considering a DTFT pair and differentiating both sides with respect to ω.
216


