对于马尔科夫跳跃过程的静态响应的一般理论
Timur Aslyamov1, Massimiliano Esposito1
1Department of Physics and Materials Science, <a href="https://ror.org/036x5ad56">University of Luxembourg</a>, L-1511 Luxembourg City, Luxembourg.
Physical review letters
|September 20, 2024
概括
这项研究揭示了图形拓学如何约束马尔科夫跳跃过程. 对于电流和概率来说,明确的响应关系和边界是导出的,在随机热力学中有应用.
科学领域:
- 统计物理 统计物理
- 网络理论 网络理论
- 随机过程 随机过程
背景情况:
- 马尔科夫跳跃过程对于建模动态系统至关重要.
- 了解系统对控制参数的响应至关重要.
- 图形拓学显著影响系统动态.
研究的目的:
- 导出边缘电流和稳定状态概率的静态响应的明确表达式.
- 研究图形拓对这些响应施加的约束.
- 将发现应用于随机热力学,用于分析散射和力.
主要方法:
- 在图表上分析马尔科夫跳跃过程.
- 对于静态响应的明确表达式的导出.
- 响应关系的发展和以拓学为依赖的边界.
- 图形理论的应用,特别是发生率矩阵.
主要成果:
- 对电流和概率的静态反应的明确公式.
- 建立了响应关系和边界,将响应与图形拓联系起来.
- 对于单循环网络,缩放电流响应是 [0, 1] 的边界,和1.
- 基本电流对热力学力量的静态反应.
结论:
- 图形拓从根本上限制了马尔科夫跳跃过程的动态.
- 衍生出的响应关系和边界提供了预测能力.
- 这项工作为分析复杂系统中的散射提供了一个框架.
相关概念视频
Transient and Steady-state Response
162
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
162
Entropy Change in Reversible Processes
2.5K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.5K
BIBO stability of continuous and discrete -time systems
361
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....
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....
361
Poisson's And Laplace's Equation
2.6K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
2.6K
Linear time-invariant Systems
226
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...
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...
226
First Order Systems
87
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
87


