伊辛根和转移矩阵的自有价值
Reinhard Folk1, Yurij Holovatch2,3,4,5
1Institute for Theoretical Physics, Johannes Kepler University Linz, 4040 Linz, Austria.
Entropy (Basel, Switzerland)
|June 26, 2024
概括
恩斯特·伊辛格 (Ernst Ising) 是一个著名的科学家.
科学领域:
- 统计物理 统计物理
- 凝聚物质物理学 凝聚物质物理学
背景情况:
- 伊辛模型是统计物理学中的一个基本概念,用于理解集体秩序.
- 恩斯特·伊辛 (Ernst Ising) 的1924年论文探讨了超越经典的1D伊辛模型的问题.
研究的目的:
- 为了检查恩斯特·艾辛1924年论文的鲜为人知的方面.
- 突出使用的组合方法及其与现代概念的联系.
主要方法:
- 对Ernst Ising计算分区函数的组合法进行分析.
- 将伊辛的组合结果与转移矩阵固有值进行比较.
- 从伊辛的论文中对一个通用的三态模型的调查.
主要成果:
- 伊辛的组合方法产生了由多项式根确定的分区函数 ("伊辛的根").
- 这些根相当于转移矩阵的固有值,这是后来发展的概念.
- 论文中的三态模型早于现代的多组件顺序参数模型.
结论:
- 恩斯特·伊辛的论文包含了1D Ising模型解决方案之外的重要贡献.
- 组合方法和通用模型预示了统计物理学的后来的发展.
相关概念视频
Multimachine Stability
150
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
150
Vector Algebra: Method of Components
13.9K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
In many applications, the magnitudes and directions of...
13.9K
State Space to Transfer Function
197
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
197
Pole and System Stability
275
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...
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...
275
Transmission-Line Differential Equations
268
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...
268
Construction of Root Locus
110
The construction of a root locus involves several key steps to analyze and visualize the behavior of a system's poles with varying gain. The number of branches in the root locus equals the number of closed-loop poles and is symmetrical about the real axis.
For positive gain values, the root locus exists on the real axis to the left of an odd number of finite open-loop poles or zeros. The root locus starts at the open-loop poles and traces the paths of the closed-loop poles as the gain...
For positive gain values, the root locus exists on the real axis to the left of an odd number of finite open-loop poles or zeros. The root locus starts at the open-loop poles and traces the paths of the closed-loop poles as the gain...
110


