Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

3.0K
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...
3.0K
Entropy01:18

Entropy

2.7K
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...
2.7K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.7K
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.
2.7K
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

5.4K
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...
5.4K
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

19.3K
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.
19.3K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

20.8K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
20.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Kicked General Fractional Lorenz-Type Equations: Exact Solutions and Multi-Dimensional Discrete Maps.

Entropy (Basel, Switzerland)·2025
Same author

General Nonlocal Probability of Arbitrary Order.

Entropy (Basel, Switzerland)·2023
Same author

General Non-Markovian Quantum Dynamics.

Entropy (Basel, Switzerland)·2021
Same author

Quantum Maps with Memory from Generalized Lindblad Equation.

Entropy (Basel, Switzerland)·2021
Same author

Criterion of Existence of Power-Law Memory for Economic Processes.

Entropy (Basel, Switzerland)·2020

Related Experiment Video

Updated: Aug 16, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.6K

Entropy Interpretation of Hadamard Type Fractional Operators: Fractional Cumulative Entropy.

Vasily E Tarasov1,2

  • 1Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991, Russia.

Entropy (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

New Hadamard-type fractional operators generalize standard entropy, fractional entropies, and cumulative entropies. This study introduces a novel family of fractional cumulative entropies derived from these operators.

Keywords:
Hadamard-type fractional pperatorcummulative entropyentropyfractional calculusfractional entropyfractional integrals

More Related Videos

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.8K
Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K

Related Experiment Videos

Last Updated: Aug 16, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.6K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.8K
Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K

Area of Science:

  • Fractional Calculus
  • Information Theory
  • Mathematical Analysis

Background:

  • Standard entropy measures provide foundational insights into information content.
  • Existing fractional entropies offer advanced analytical capabilities.
  • Cumulative entropies capture information over intervals, but lack fractional generalization.

Purpose of the Study:

  • To propose novel interpretations for Hadamard-type fractional integral and differential operators.
  • To generalize standard, fractional, and cumulative entropies using these operators.
  • To introduce a new family of fractional cumulative entropies.

Main Methods:

  • Development and interpretation of Hadamard-type fractional integral operators.
  • Application of these operators to generalize existing entropy concepts.
  • Formulation of a new class of fractional cumulative entropies.

Main Results:

  • Hadamard-type fractional integrals are shown to generalize standard, fractional, and cumulative entropies.
  • A novel family of fractional cumulative entropies is successfully derived.
  • The proposed operators provide a unified framework for entropy generalization.

Conclusions:

  • The proposed Hadamard-type fractional operators offer a powerful tool for extending entropy theory.
  • This work bridges fractional calculus and information theory with new entropy formulations.
  • The novel fractional cumulative entropies have potential applications in various analytical fields.