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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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.
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Applications of Integration to Probability Density Functions01:27

Applications of Integration to Probability Density Functions

Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF), which...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

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.
Random Variables01:09

Random Variables

A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...

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Updated: May 16, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Conjugate variables in continuous maximum-entropy inference.

Sergio Davis1, Gonzalo Gutiérrez

  • 1Grupo de Nanomateriales, Departamento de Física, Facultad de Ciencias, Universidad de Chile, Casilla 653, Santiago, Chile. sdavis@gnm.cl

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

Researchers derived a new relation for maximum-entropy distributions, connecting Lagrange multipliers to system properties. This method offers new tools for statistical mechanics and computational simulations.

Related Experiment Videos

Last Updated: May 16, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Area of Science:

  • Statistical Mechanics
  • Information Theory
  • Computational Physics

Background:

  • Maximum-entropy distributions are fundamental in statistical inference and modeling.
  • Lagrange multipliers are key parameters in constrained optimization problems.

Purpose of the Study:

  • To derive a general relation between Lagrange multipliers and expectation values in maximum-entropy distributions.
  • To develop new methods for determining Lagrange multipliers and enhance Jaynes's formalism.

Main Methods:

  • Derivation of a general relation connecting Lagrange multipliers and expectation values.
  • Construction of estimators for Lagrange multipliers using derivatives of constraining functions.
  • Application to statistical mechanics and computational simulation techniques.

Main Results:

  • A novel general relation for continuous maximum-entropy distributions is established.
  • Estimators for Lagrange multipliers are derived, facilitating their determination via linear systems.
  • The relation provides insights into hypervirial relations and microcanonical dynamical temperature.

Conclusions:

  • The derived relation offers a versatile tool for statistical mechanics and computational methods.
  • It expands the applicability of Jaynes's maximum-entropy formalism.
  • The findings have implications for understanding fundamental concepts in statistical physics.