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Statistical ensemble

The above realization of the abstract mesoscopic equilibrium thermodynamics is called a Canonical-Ensemble Statistical Mechanics. We shall now briefly present also another realization, called a Microcanonical-Ensemble Statistical Mechanics since it offers a useful physical interpretation of entropy. [Pg.88]

V. Mayagoitia, F. Rojas, V. Pereyra and G. Zgrablich, Surf. Sci. 221 (1989) R. H. Ldpez, A. M. Vidales and G. Zgrablich, Correlated site-bond ensembles statistical equilibrium and finite-size effects , Langmuir 16,7 (2000). [Pg.634]

We typically infuse 0.1nM of Fi into an observation chamber of height SOpm. If all are attached, the surface density would be of the order of 1 molecule/pm. In fact, only on lucky days do we observe as many as tens of rotating probes in a field of view some (300 pm). Most of the motors are inactive, or fail to bind the probe which is huge compared to the motor size of lOnm, in a configuration that allows unhindered rotation. Of those that rotate, we select those few that rotate fast, smooth, and with 120° symmetry (see below). Due to this subjective selection, ensemble statistics in our work is unreliable though we make every effort to increase the number of selected to convince ourselves that we are not reporting artifacts. Our statistics relies on repeated behaviors of a selected molecule we analyze many consecutive revolutions without eliminating an event in the sequence. [Pg.272]

Extending the current state of knowledge could involve measurements at high temperature with shock experiments to access transition pressures closer to the thermodynamic limit. Progress is currently being made to study the transition in individual nanocrystal particles, to both eliminate the ensemble statistics and allow for individual transitions to be observed on -femtosecond time scales. The study of nanocrystal solid-solid phase transitions to oxide nanosystems should also prove to be useful in understanding the microscopic process of solid-solid transitions relevant to geophysically important systems. [Pg.71]

The theoretical analysis of the spread of a plume from a continuous point source can be achieved by considering the statistics of the diffusion of a single fluid particle relative to a fixed axis. The actual plume would then consist of a very large number of such identical particles, the average over the behavior of which yields the ensemble statistics of the plume. [Pg.847]

The specificity of DFT treated for BEC implies functionals of the couple [p(r),T (r)] in terms of the overall super-fluidic density p(r) and of the order parameter T (r), both defined through the 7V-particles ensemble statistical average (Vetter, 1997 Putz, 2011b-c, 2012c)... [Pg.58]

In practice, the free energy is calculated by performing a series of free energy calculations for successive values of X(i). Each time the value of X (and hence V(X)) is changed, the system must be allowed to re-equilibrate to the new potential function before we commence accumulation of ensemble statistics. Thus, the procedure is select X, equilibrate, collect ensemble data, update X(i) -> X(i + 1), repeat until AG has been determined for each window in the chain. The ensemble average is calculated from the MD or MC ensemble by simple averaging over the number of moves or integration steps ... [Pg.1040]

It is the purpose of this paper to establish a statistical thermodynamical formalism for dilute polyelectrolyte solutions which may serve to discuss the assumptions which are usually introduced in the theoretical treatment of such systems. Use is made of a model which is kept as general as possible, and certainly is more realistic than a Kuhn-like chain, without being too complicated to be handled by ordinary statistical procedures. Canonical ensemble statistics are used, the external thermodynamic variables being the volume V, temperature T and composition of the system. Of course, for the problem thus outlined no exact solution of practical nature is presented which is in the present stage still beyond reach. It is hoped that such a formal treatment may help a better understanding of the problems underlying the theoretical approach to polyelectrolyte systems. It will also help to discuss the generality of theoretical description as presented by Marcus [7]. [Pg.40]

We can determine the thermodynamic properties of an ideal gas using canonical ensemble statistical mechanical calculations. We follow the same steps as in the W E ideal gas. The Hamiltonian of an W T ideal... [Pg.99]

Unlike the solid state, the liquid state cannot be characterized by a static description. In a liquid, bonds break and refomi continuously as a fiinction of time. The quantum states in the liquid are similar to those in amorphous solids in the sense that the system is also disordered. The liquid state can be quantified only by considering some ensemble averaging and using statistical measures. For example, consider an elemental liquid. Just as for amorphous solids, one can ask what is the distribution of atoms at a given distance from a reference atom on average, i.e. the radial distribution function or the pair correlation function can also be defined for a liquid. In scattering experiments on liquids, a structure factor is measured. The radial distribution fiinction, g r), is related to the stnicture factor, S q), by... [Pg.132]

It is customary in statistical mechanics to obtain the average properties of members of an ensemble, an essentially infinite set of systems subject to the same constraints. Of course each of the systems contains the... [Pg.374]

The grand canonical ensemble is a set of systems each with the same volume V, the same temperature T and the same chemical potential p (or if there is more than one substance present, the same set of p. s). This corresponds to a set of systems separated by diathennic and penneable walls and allowed to equilibrate. In classical thennodynamics, the appropriate fimction for fixed p, V, and Tis the productpV(see equation (A2.1.3 7)1 and statistical mechanics relates pV directly to the grand canonical partition function... [Pg.375]

Geometrically, Liouville s theorem means that if one follows the motion of a small phase volume in Y space, it may change its shape but its volume is invariant. In other words the motion of this volume in T space is like that of an incompressible fluid. Liouville s theorem, being a restatement of mechanics, is an important ingredient in the fomuilation of the theory of statistical ensembles, which is considered next. [Pg.383]

A statistical ensemble can be viewed as a description of how an experiment is repeated. In order to describe a macroscopic system in equilibrium, its thennodynamic state needs to be specified first. From this, one can infer the macroscopic constraints on the system, i.e. which macroscopic (thennodynamic) quantities are held fixed. One can also deduce, from this, what are the corresponding microscopic variables which will be constants of motion. A macroscopic system held in a specific thennodynamic equilibrium state is typically consistent with a very large number (classically infinite) of microstates. Each of the repeated experimental measurements on such a system, under ideal... [Pg.384]

In this chapter, the foundations of equilibrium statistical mechanics are introduced and applied to ideal and weakly interacting systems. The coimection between statistical mechanics and thennodynamics is made by introducing ensemble methods. The role of mechanics, both quantum and classical, is described. In particular, the concept and use of the density of states is utilized. Applications are made to ideal quantum and classical gases, ideal gas of diatomic molecules, photons and the black body radiation, phonons in a hannonic solid, conduction electrons in metals and the Bose—Einstein condensation. Introductory aspects of the density... [Pg.435]

No system is exactly unifomi even a crystal lattice will have fluctuations in density, and even the Ising model must pemiit fluctuations in the configuration of spins around a given spin. Moreover, even the classical treatment allows for fluctuations the statistical mechanics of the grand canonical ensemble yields an exact relation between the isothemial compressibility K j,and the number of molecules Ain volume V ... [Pg.647]

Statistical mechanics and kinetic theory, as we have seen, are typically concerned with the average behaviour of an ensemble of similarly prepared systems. One usually hopes, and occasionally can demonstrate, that the variations of these properties from one system to another in the ensemble, or that the variation with time of the properties of any... [Pg.687]

RRKM theory assumes a microcanonical ensemble of A vibrational/rotational states within the energy interval E E + dE, so that each of these states is populated statistically with an equal probability [4]. This assumption of a microcanonical distribution means that the unimolecular rate constant for A only depends on energy, and not on the maimer in which A is energized. If N(0) is the number of A molecules excited at / =... [Pg.1008]

If all the resonance states which fomi a microcanonical ensemble have random i, and are thus intrinsically unassignable, a situation arises which is caWtA. statistical state-specific behaviour [95]. Since the wavefunction coefficients of the i / are Gaussian random variables when projected onto (]). basis fiinctions for any zero-order representation [96], the distribution of the state-specific rate constants will be as statistical as possible. If these within the energy interval E E+ AE fomi a conthuious distribution, Levine [97] has argued that the probability of a particular k is given by the Porter-Thomas [98] distribution... [Pg.1031]

A diagrannnatic approach that can unify the theory underlymg these many spectroscopies is presented. The most complete theoretical treatment is achieved by applying statistical quantum mechanics in the fonn of the time evolution of the light/matter density operator. (It is recoimnended that anyone interested in advanced study of this topic should familiarize themselves with density operator fonnalism [8, 9, 10, H and f2]. Most books on nonlinear optics [13,14, f5,16 and 17] and nonlinear optical spectroscopy [18,19] treat this in much detail.) Once the density operator is known at any time and position within a material, its matrix in the eigenstate basis set of the constituents (usually molecules) can be detennined. The ensemble averaged electrical polarization, P, is then obtained—tlie centrepiece of all spectroscopies based on the electric component of the EM field. [Pg.1180]

Statistical mechanics may be used to derive practical microscopic fomuilae for themiodynamic quantities. A well-known example is tire virial expression for the pressure, easily derived by scaling the atomic coordinates in the canonical ensemble partition fiinction... [Pg.2248]

Chesnut D A and Salsburg Z W 1963 Monte Carlo procedure for statistical mechanical calculation in a grand canonical ensemble of lattice systems J. Chem. Phys. 38 2861-75... [Pg.2280]


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See also in sourсe #XX -- [ Pg.97 ]




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Canonical-ensemble statistical mechanics

Classical statistical mechanics canonical ensemble

Ensemble Properties and Basic Statistical Mechanics

Ensemble average statistical error

Ensembles classical statistical mechanics

Equilibrium Statistical Mechanics Using Ensembles

Equilibrium Statistical Mechanics. III. Ensembles

Equilibrium statistical mechanics canonical ensemble

Equilibrium statistical mechanics ensembles

Gibbs-Boltzmann statistical ensemble

Microcanonical-ensemble statistical

Microcanonical-ensemble statistical mechanics

Separate statistical ensemble model

Separate statistical ensembles-phase space

Statistical analysis in various ensembles

Statistical ensemble averaging

Statistical mechanics ensembles

Statistical mechanics grand-canonical ensemble

Statistical thermodynamics ensemble

Statistical weight, transition path ensemble

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