Maison » Statistical Ensembles

Statistical Ensembles

1902
  • J. Willard Gibbs

A statistical ensemble is a conceptual tool consisting of a large number of virtual copies of a system, each representing a possible microstate. By averaging properties over all systems in the ensemble, one can calculate macroscopic observables. The main types are the microcanonical (isolated system with fixed N, V, E), canonical (closed system, fixed N, V, T), and grand canonical (open system, fixed µ, V, T).

The concept of the ensemble, formalized by J. Willard Gibbs, provides the rigorous mathematical cadre for statistical mécanique. Instead of tracking a single system over time (which is often impossible), we consider a collection of identical systems at a single instant. The fundamental assumption, known as the ergodic hypothesis, posits that the time average of a property in a single system is equivalent to the ensemble average.

Each ensemble corresponds to a specific physical situation. The Microcanonical Ensemble represents a completely isolated system where the total number of particles (N), volume (V), and energy (E) are constant. All microstates with that energy are assumed to be equally probable. The Canonical Ensemble describes a system in thermal contact with a large heat bath, allowing energy exchange. Here, N and V are fixed, but the temperature (T) is constant instead of the energy. The probability of a microstate is given by the Boltzmann factor. The Grand Canonical Ensemble is for an open system that can exchange both energy and particles with a reservoir. It is characterized by constant chemical potential (µ), volume (V), and temperature (T). The choice of ensemble depends on the physical constraints of the problem, with the canonical ensemble being the most commonly used for calculations.

UNESCO Nomenclature: 2211
– Thermodynamics

Type

Abstract System

Disruption

Foundational

Utilisation

Widespread Use

Precursors

  • Ludwig Boltzmann’s statistical interpretation of thermodynamics
  • The development of Hamiltonian mechanics, which defines the phase space of a system
  • Classical thermodynamics developed by Carnot, Clausius, and Kelvin
  • Maxwell-Boltzmann statistics for ideal gases

Applications

  • condensed matter physics to model solids and liquids
  • computational chemistry simulations (e.g., molecular dynamics)
  • astrophysics for modeling stellar interiors and atmospheres
  • biophysics for studying protein folding and molecular interactions
  • econophysics for modeling financial markets

Brevets :

QUE

Potential Innovations Ideas

!niveaux !!! Adhésion obligatoire

Vous devez être membre de l'association pour accéder à ce contenu.

S’inscrire maintenant

Vous êtes déjà membre ? Connectez-vous ici
Related to: ensemble, Gibbs, microcanonical, canonical, grand canonical, phase space, statistical physics, thermodynamics

Laisser un commentaire

Votre adresse e-mail ne sera pas publiée. Les champs obligatoires sont indiqués avec *

DISPONIBLE POUR DE NOUVEAUX DÉFIS
Ingénieur mécanique, chef de projet ou de R&D
Développement de produits efficace

Disponible pour un nouveau défi dans un court délai.
Contactez-moi sur LinkedIn
Intégration électronique métal-plastique, Conception à coût réduit, BPF, Ergonomie, Appareils et consommables de volume moyen à élevé, Secteurs réglementés, CE et FDA, CAO, Solidworks, Lean Sigma Black Belt, ISO 13485 médical

Nous recherchons un nouveau sponsor

 

Votre entreprise ou institution est dans le domaine de la technique, de la science ou de la recherche ?
> envoyez-nous un message <

Recevez tous les nouveaux articles
Gratuit, pas de spam, email non distribué ni revendu

ou vous pouvez obtenir votre adhésion complète - gratuitement - pour accéder à tout le contenu restreint >ici<

Related Invention, Innovation & Technical Principles

Retour en haut

Vous aimerez peut-être aussi