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相关概念视频

Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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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...
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Gibbs Free Energy02:39

Gibbs Free Energy

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One of the challenges of using the second law of thermodynamics to determine if a process is spontaneous is that it requires measurements of the entropy change for the system and the entropy change for the surroundings. An alternative approach involving a new thermodynamic property defined in terms of system properties only was introduced in the late nineteenth century by American mathematician Josiah Willard Gibbs. This new property is called the Gibbs free energy (G) (or simply the free...
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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

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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.
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Second Law of Thermodynamics02:49

Second Law of Thermodynamics

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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic...
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An Introduction to Free Energy01:05

An Introduction to Free Energy

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How can we compare the energy that releases from one reaction to that of another reaction? We use a measurement of free energy to quantitate these energy transfers. Scientists call this free energy Gibbs free energy (abbreviated with the letter G) after Josiah Willard Gibbs, the scientist who developed the measurement. According to the second law of thermodynamics, all energy transfers involve losing some energy in an unusable form such as heat, resulting in entropy. Gibbs free energy...
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The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
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Updated: Jun 29, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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非添加式 entropy 公式和 entropy 之间的类比和关系.

Tamás S Biró1,2,3, András Telcs1, Antal Jakovác1

  • 1HUN-REN Wigner Research Centre for Physics, 1121 Budapest, Hungary.

Entropy (Basel, Switzerland)
|March 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究揭示了跟踪形式和用于衡量不平等的吉尼指数之间的数学联系. 它引入了基因,将传统与非添加式和帕雷托分布联系起来.

关键词:
基尼指数基尼指数基尼指数洛伦茨曲线的曲线是进入的过程中,没有广泛的非广泛的.

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科学领域:

  • 信息理论 信息理论
  • 计量经济学 计量经济学
  • 统计力学 统计力学

背景情况:

  • 吉尼指数是衡量收入和财富不平等的标准指标.
  • 痕迹形式是信息理论和统计力学中的基本概念.
  • 吉尼指数和度有不同的数学框架.

研究的目的:

  • 探索一般的轨迹形式和吉尼指数之间的形式相似性和数学转换.
  • 引入和利用由洛伦茨曲线衍生的'gintropy'概念.
  • 在传统的,和非添加式公式之间建立新的联系.

主要方法:

  • 数学分析和不平等之间的形式相似性措施.
  • 使用基于洛伦茨曲线属性的阴道的概念.
  • 导出不同形式和吉尼指数之间的转换公式.
  • 在帕雷托分布的关系下重新审视Tsallis的q.

主要成果:

  • 在痕迹形式和吉尼指数之间建立了正式的数学连接.
  • 骨热量定义并用于将洛伦茨曲线属性与度联系起来.
  • 萨利斯的q公式在帕雷托分布的背景下重新推导出来.
  • 介绍了传统的新表达式,即和新的非添加式公式.

结论:

  • 该研究提供了一个统一的数学框架,用于理解不平等和度的测量.
  • 健学为分析经济不平等及其与信息理论的关系提供了一个新的视角.
  • 这些发现有助于重建非添加性公式和不平等的动态模型.