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Entropy02:39

Entropy

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...
Entropy01:18

Entropy

The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
Entropy and the Second Law of Thermodynamics01:26

Entropy and the Second Law of Thermodynamics

Consider an isolated system in which a hot object is placed in contact with a cold one. This is an irreversible process that eventually leads both objects to reach the same equilibrium temperature. It is crucial to note that the constituents of any substance exhibit increased disorder at higher temperatures. As a cold substance absorbs heat, its constituents become more disordered. The energy transfer from a hotter object to a cooler one increases the system's disorder or randomness. This...
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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...
Random Error01:04

Random Error

Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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 put...

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Updated: Jul 12, 2026

Sealable Femtoliter Chamber Arrays for Cell-free Biology
13:44

Sealable Femtoliter Chamber Arrays for Cell-free Biology

Published on: March 11, 2015

エルゴディック理論,ランダム性,そして"カオス"

D S Ornstein

    Science (New York, N.Y.)
    |January 13, 1989
    PubMed
    まとめ

    エルゴディック理論は,ニュートンの法則によって支配されるシステムにおける決定的混乱を明らかにし,それをパン屋の変形と結びつける. これは,ランダムな行動と統計的特性を理解するための新しい枠組みを提供します.

    科学分野:

    • ダイナミック・システムとは
    • エルゴディック理論 エルゴディック理論
    • カオス理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは,混沌理論 (Chaos Theory) とは

    背景:

    • エルゴディック理論は,ダイナミックシステムの長期的統計的行動を研究する.
    • パン屋の変容は,エルゴディック理論の重要なモデルであり,決定的カオスを示しています.
    • 以前の理解は,パン屋の変容と混沌としたシステムの間の類似性を示唆していました.

    研究 の 目的:

    • ニュートンの法則によって支配されるシステムとパン屋の変容の間の根本的なつながりを示すために.
    • ダイナミックシステムにおける様々なタイプのランダムな行動を整理し,理解する.
    • 混沌としたシステムにおける構造的安定性の統計的アナログを確立する.

    主な方法:

    • 動的システムの抽象的な数学分析.
    • パン屋の変容をニュートンのシステムのモデルとして公式化する.
    • これらのシステムの統計的性質と行動を調査する.

    主要な成果:

    さらに関連する動画

    Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
    06:44

    Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

    Published on: September 23, 2025

    関連する実験動画

    Last Updated: Jul 12, 2026

    Sealable Femtoliter Chamber Arrays for Cell-free Biology
    13:44

    Sealable Femtoliter Chamber Arrays for Cell-free Biology

    Published on: March 11, 2015

    Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
    06:44

    Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

    Published on: September 23, 2025

    • ニュートンのシステムと,抽象的なレベルでパン屋の変容の間に,類似を超えた深いつながりが確立されています.
    • ランダムな行動の様々な形態を分類し,理解するための枠組みが開発されています.
    • 具体的成果には,ニュートン理論とコイン投げのメカニズムが同一のプロセスを生み出すことが可能であることを示すことが含まれます.

    結論:

    • ニュートンのダイナミクスは,パン屋の変容と同じ特性を表し,決定的カオスと統計的行動を統一することができます.
    • 抽象的な枠組みは,構造的安定性とランダムなプロセスに関する新しい洞察を提供します.
    • この研究は,決定論的法則と物理系における観測されたランダム性との間のギャップを埋めています.