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相关概念视频

Entropy02:39

Entropy

30.4K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
30.4K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.9K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
2.9K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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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.
2.6K
Entropy and Solvation02:05

Entropy and Solvation

7.1K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
7.1K
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

19.1K
A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
19.1K
State Space Representation01:27

State Space Representation

245
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
245

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相关实验视频

Updated: Jul 24, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

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几何分区:一个连续状态空间的粗粒度.

Christopher Tyler Diggans1, Abd AlRahman R AlMomani2

  • 1Information Directorate, Air Force Research Laboratory, Rome, NY 13441, USA.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括

这项研究引入了一种新的几何分区来量化连续数据中的无知. 这项新措施为复杂数据集提供了比传统方法更一致和更有信息的方法.

科学领域:

  • 信息理论 信息理论
  • 统计力学 统计力学
  • 时间序列分析时间序列分析

背景情况:

  • 传统的估计器 (热力学,香农) 对于连续数据是离散的和有问题的.
  • 不同的定义面临的局限性类似于热力学挑战.
  • 采样数据代表微态,而底层的宏态通常是未知的.

研究的目的:

  • 重新检查作为无知的一种措施在连续现象可预测性.
  • 开发一种适合采样,连续数据的新型估计器.
  • 解决现有的离散和连续测量的局限性.

主要方法:

  • 使用数据样本量值定义的宏观状态.
  • 开发了一个基于量子距离的无知密度分布.
  • 计算了几何分区作为这个分布的香农.

主要成果:

  • 几何分区是比直方图-binning更一致和有信息的.
  • 这种方法在复杂的分布,异常值和有限的抽样方面表现出色.
  • 它在计算上是高效的,并避免负值,优于k-最近邻居估计器.

结论:

关键词:
值估计器的值估计器无知就是无知.信息理论信息理论不确定性是一种不确定性.

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  • 几何分区为连续现象的无知提供了强大的量化.
  • 该方法适用于时间序列分析和近似 ergodic 符号动态.
  • 这种估计器在处理现实世界,有限的观测数据方面提供了独特的优势.