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Grand canonical ensemble

From Wikipedia, the free encyclopedia
Statistical ensemble of particles in thermodynamic equilibrium
Statistical mechanics

Instatistical mechanics, thegrand canonical ensemble (also known as themacrocanonical ensemble) is thestatistical ensemble that is used to represent the possible states of a mechanical system of particles that are inthermodynamic equilibrium (thermal and chemical) with a reservoir.[1] The system is said to be open in the sense that the system can exchange energy and particles with a reservoir, so that various possible states of the system can differ in both their total energy and total number of particles. The system's volume, shape, and other external coordinates are kept the same in all possible states of the system.

The thermodynamic variables of the grand canonical ensemble arechemical potential (symbol:µ) andabsolute temperature (symbol:T). The ensemble is also dependent on mechanical variables such as volume (symbol:V), which influence the nature of the system's internal states. This ensemble is therefore sometimes called theµVT ensemble, as each of these three quantities are constants of the ensemble.

Basics

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In simple terms, the grand canonical ensemble assigns a probabilityP to each distinctmicrostate given by the following exponential:P=e(Ω+μNE)/(kT),{\displaystyle P=e^{{(\Omega +\mu N-E)}/{(kT)}},}whereN is the number of particles in the microstate andE is the total energy of the microstate.k is theBoltzmann constant.

The numberΩ is known as thegrand potential and is constant for the ensemble. However, the probabilities andΩ will vary if differentµ,V,T are selected. The grand potentialΩ serves two roles: to provide a normalization factor for the probability distribution (the probabilities, over the complete set of microstates, must add up to one); and, many important ensemble averages can be directly calculated from the functionΩ(µ,V,T).

In the case where more than one kind of particle is allowed to vary in number, the probability expression generalizes toP=e(Ω+μ1N1+μ2N2++μsNsE)/(kT),{\displaystyle P=e^{{(\Omega +\mu _{1}N_{1}+\mu _{2}N_{2}+\dots +\mu _{s}N_{s}-E)}/{(kT)}},}whereµ1 is the chemical potential for the first kind of particles,N1 is the number of that kind of particle in the microstate,µ2 is the chemical potential for the second kind of particles and so on (s is the number of distinct kinds of particles). However, these particle numbers should be defined carefully (see thenote on particle number conservation below).

The distribution of the grand canonical ensemble is calledgeneralized Boltzmann distribution by some authors.[2]

Grand ensembles are apt for use when describing systems such as theelectrons in aconductor, or thephotons in a cavity, where the shape is fixed but the energy and number of particles can easily fluctuate due to contact with a reservoir (e.g., an electrical ground or adark surface, in these cases). The grand canonical ensemble provides a natural setting for an exact derivation of theFermi–Dirac statistics orBose–Einstein statistics for a system of non-interacting quantum particles (see examples below).

Note on formulation
An alternative formulation for the same concept writes the probability asP=1Ze(μNE)/(kT){\displaystyle \textstyle P={\frac {1}{\mathcal {Z}}}e^{(\mu N-E)/(kT)}}, using thegrand partition functionZ=eΩ/(kT){\displaystyle \textstyle {\mathcal {Z}}=e^{-\Omega /(kT)}} rather than the grand potential. The equations in this article (in terms of grand potential) may be restated in terms of the grand partition function by simple mathematical manipulations.

Applicability

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The grand canonical ensemble is the ensemble that describes the possible states of an isolated system that is in thermal and chemical equilibrium with a reservoir (the derivation proceeds along lines analogous to the heat bath derivation of the normalcanonical ensemble, and can be found in Reif[3]). The grand canonical ensemble applies to systems of any size, small or large; it is only necessary to assume that the reservoir with which it is in contact is much larger (i.e., to take themacroscopic limit).

The condition that the system is isolated is necessary in order to ensure it has well-defined thermodynamic quantities and evolution.[1] In practice, however, it is desirable to apply the grand canonical ensemble to describe systems that are in direct contact with the reservoir, since it is that contact that ensures the equilibrium. The use of the grand canonical ensemble in these cases is usually justified either 1) by assuming that the contact is weak, or 2) by incorporating a part of the reservoir connection into the system under analysis, so that the connection's influence on the region of interest is correctly modeled. Alternatively, theoretical approaches can be used to model the influence of the connection, yielding an open statistical ensemble.

Another case in which the grand canonical ensemble appears is when considering a system that is large and thermodynamic (a system that is "in equilibrium with itself"). Even if the exact conditions of the system do not actually allow for variations in energy or particle number, the grand canonical ensemble can be used to simplify calculations of some thermodynamic properties. The reason for this is that various thermodynamic ensembles (microcanonical,canonical) become equivalent in some aspects to the grand canonical ensemble, once the system is very large.[note 1] Of course, for small systems, the different ensembles are no longer equivalent even in the mean. As a result, the grand canonical ensemble can be highly inaccurate when applied to small systems of fixed particle number, such as atomic nuclei.[4]

Properties

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  • Uniqueness: The grand canonical ensemble is uniquely determined for a given system at given temperature and given chemical potentials, and does not depend on arbitrary choices such as choice of coordinate system (classical mechanics) or basis (quantum mechanics).[1] The grand canonical ensemble is the only ensemble with constantμ{\displaystyle \mu },V, andT that reproduces thefundamental thermodynamic relation.[5]
  • Statistical equilibrium (steady state): A grand canonical ensemble does not evolve over time, despite the fact that the underlying system is in constant motion. Indeed, the ensemble is only a function of the conserved quantities of the system (energy and particle numbers).[1]
  • Thermal and chemical equilibrium with other systems: Two systems, each described by a grand canonical ensemble of equal temperature and chemical potentials, brought into thermal and chemical contact[note 2] will remain unchanged, and the resulting combined system will be described by a combined grand canonical ensemble of the same temperature and chemical potentials.[1]
  • Maximum entropy: For given mechanical parameters (fixedV), the grand canonical ensemble average of the log-probabilitylogP{\displaystyle -\langle \log P\rangle } (also called the "entropy") is the maximum possible for any ensemble (i.e. probability distributionP) with the sameE{\displaystyle \langle E\rangle },N1{\displaystyle \langle N_{1}\rangle }, etc.[1]
  • Minimum grand potential: For given mechanical parameters (fixedV) and given values ofT,µ1, …,µs, the ensemble averageE+kTlogPμ1N1μsNs{\displaystyle \left\langle E+kT\log P-\mu _{1}N_{1}-\ldots \mu _{s}N_{s}\right\rangle } is the lowest possible of any ensemble.[1]

Grand potential, ensemble averages, and exact differentials

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The partial derivatives of the functionΩ(µ1, …,µs,V,T) give important grand canonical ensemble average quantities:[1][6]

Exact differential: From the above expressions, it can be seen that the functionΩ has theexact differentialdΩ=SdTN1dμ1NsdμspdV.{\displaystyle d\Omega =-SdT-\langle N_{1}\rangle d\mu _{1}\ldots -\langle N_{s}\rangle d\mu _{s}-\langle p\rangle dV.}

First law of thermodynamics: Substituting the above relationship forE into the exact differential ofΩ, an equation similar to thefirst law of thermodynamics is found, except with average signs on some of the quantities:[1]dE=TdS+μ1dN1++μsdNspdV.{\displaystyle d\langle E\rangle =TdS+\mu _{1}d\langle N_{1}\rangle +\dots +\mu _{s}d\langle N_{s}\rangle -\langle p\rangle dV.}

Thermodynamic fluctuations: Thevariances in energy and particle numbers are[7][8]E2E2=kT2ET+kTμ1Eμ1+kTμ2Eμ2+,N12N12=kTN1μ1.{\displaystyle {\begin{aligned}\langle E^{2}\rangle -\langle E\rangle ^{2}&=kT^{2}{\frac {\partial \langle E\rangle }{\partial T}}+kT\mu _{1}{\frac {\partial \langle E\rangle }{\partial \mu _{1}}}+kT\mu _{2}{\frac {\partial \langle E\rangle }{\partial \mu _{2}}}+\cdots ,\\[1ex]\langle N_{1}^{2}\rangle -\langle N_{1}\rangle ^{2}&=kT{\frac {\partial \langle N_{1}\rangle }{\partial \mu _{1}}}.\end{aligned}}}

Correlations in fluctuations: Thecovariances of particle numbers and energy are[1]N1N2N1N2=kTN2μ1=kTN1μ2.N1EN1E=kTEμ1,{\displaystyle {\begin{aligned}\langle N_{1}N_{2}\rangle -\langle N_{1}\rangle \langle N_{2}\rangle &=kT{\frac {\partial \langle N_{2}\rangle }{\partial \mu _{1}}}=kT{\frac {\partial \langle N_{1}\rangle }{\partial \mu _{2}}}.\\[1ex]\langle N_{1}E\rangle -\langle N_{1}\rangle \langle E\rangle &=kT{\frac {\partial \langle E\rangle }{\partial \mu _{1}}},\end{aligned}}}

Example ensembles

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The usefulness of the grand canonical ensemble is illustrated in the examples below. In each case the grand potential is calculated on the basis of the relationshipΩ=kTln(microstatese(μNE)/(kT)){\displaystyle \Omega =-kT\ln \left(\sum _{\text{microstates}}e^{{(\mu N-E)}/{(kT)}}\right)}which is required for the microstates' probabilities to add up to 1.

Statistics of noninteracting particles

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Bosons and fermions (quantum)

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In the special case of a quantum system of manynon-interacting particles, the thermodynamics are simple to compute.[9]Since the particles are non-interacting, one can compute a series of single-particlestationary states, each of which represent a separable part that can be included into the total quantum state of the system.For now let us refer to these single-particle stationary states asorbitals (to avoid confusing these "states" with the total many-body state), with the provision that each possible internal particle property (spin orpolarization) counts as a separate orbital.Each orbital may be occupied by a particle (or particles), or may be empty.

Since the particles are non-interacting, we may take the viewpoint thateach orbital forms a separate thermodynamic system.Thus each orbital is a grand canonical ensemble unto itself, one so simple that its statistics can be immediately derived here. Focusing on just one orbital labelledi, the total energy for amicrostate ofNi particles in this orbital will beNiϵi, whereϵi is the characteristic energy level of that orbital. The grand potential for the orbital is given by one of two forms, depending on whether the orbital is bosonic or fermionic:

In each case the valueNi=Ωiμ{\displaystyle \textstyle \langle N_{i}\rangle =-{\tfrac {\partial \Omega _{i}}{\partial \mu }}} gives the thermodynamic average number of particles on the orbital: theFermi–Dirac distribution for fermions, and theBose–Einstein distribution for bosons.Considering again the entire system, the total grand potential is found by adding up theΩi for all orbitals.

Indistinguishable classical particles

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In classical mechanics it is also possible to consider indistinguishable particles (in fact, indistinguishability is a prerequisite for defining a chemical potential in a consistent manner; all particles of a given kind must be interchangeable[1]). We can consider a region of the single-particle phase space with approximately uniform energyϵi to be an "orbital" labelledi.

Two complications arise since this orbital actually encompasses many (infinite) distinct states. Briefly:

  • An overcounting correction of1/Ni! is needed since themany-particle phase space containsNi! copies of the same actual state (formed by the permutation of the particles' different exact states).
  • The chosen width of the orbital is arbitrary, thus there is a further proportionality factor that is independent ofNi .

Due to the1/Ni! overcounting correction, the summation now takes the form of an exponentialpower series,ΩikTln(Ni=01Ni!e(NiμNiϵi)/(kT))kTln(ee(μϵi)/(kT))kTeμϵikT,{\displaystyle {\begin{aligned}\Omega _{i}&\propto -kT\ln \left(\sum _{N_{i}=0}^{\infty }{\frac {1}{N_{i}!}}e^{{(N_{i}\mu -N_{i}\epsilon _{i})}/{(kT)}}\right)\\[1ex]&\propto -kT\ln \left(e^{e^{{(\mu -\epsilon _{i})}/{(kT)}}}\right)\\[1ex]&\propto -kTe^{\frac {\mu -\epsilon _{i}}{kT}},\end{aligned}}}the valueNiΩiμ{\displaystyle \scriptstyle \langle N_{i}\rangle \propto -{\tfrac {\partial \Omega _{i}}{\partial \mu }}} corresponding toMaxwell–Boltzmann statistics.

Ionization of an isolated atom

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The grand canonical ensemble can be used to predict whether an atom prefers to be in a neutral state or ionized state.An atom is able to exist in ionized states with more or fewer electrons compared to neutral. As shown below, ionized states may be thermodynamically preferred depending on the environment.Consider a simplified model where the atom can be in a neutral state or in one of two ionized states (a detailed calculation also includes excited states and the degeneracy factors of the states[10][11]):

  • charge neutral state, withN0 electrons and energyE0.
  • anoxidized state (N0 − 1 electrons) with energyE0 + ΔEI +
  • areduced state (N0 + 1 electrons) with energyE0 − ΔEA

HereΔEI andΔEA are the atom'sionization energy andelectron affinity, respectively;ϕ is the localelectrostatic potential in the vacuum nearby the atom, andq is theelectron charge.

The grand potential in this case is thus determined byΩ=kTln(e(μN0E0)/(kT)+e(μN0μE0ΔEIqϕ)/(kT)+e(μN0+μE0+ΔEA+qϕ)/(kT)).=E0μN0kTln(1+e(μΔEIqϕ)/(kT)+e(μ+ΔEA+qϕ)/(kT)).{\displaystyle {\begin{aligned}\Omega &=-kT\ln {\Big (}e^{{(\mu N_{0}-E_{0})}/{(kT)}}+e^{{(\mu N_{0}-\mu -E_{0}-\Delta E_{\rm {I}}-q\phi )}/{(kT)}}+e^{{(\mu N_{0}+\mu -E_{0}+\Delta E_{\rm {A}}+q\phi )}/{(kT)}}{\Big )}.\\&=E_{0}-\mu N_{0}-kT\ln {\Big (}1+e^{{(-\mu -\Delta E_{\rm {I}}-q\phi )}/{(kT)}}+e^{{(\mu +\Delta E_{\rm {A}}+q\phi )}/{(kT)}}{\Big )}.\\\end{aligned}}}The quantityµ is critical in this case, for determining the balance between the various states. This value is determined by the environment around the atom.

Surface ionization effect in a vaporizedcesium atom at 1500 K, calculated using the method in this section (also includingdegeneracy). Y-axis: average number of electrons; the atom is neutral when it has 55 electrons. X-axis: energy variable, which is equal to the surfacework function.

Meaning of chemical potential, generalized "particle number"

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See also:Chemical potential

In order for a particle number to have an associated chemical potential, it must be conserved during the internal dynamics of the system, and only able to change when the system exchanges particles with an external reservoir.

If the particles can be created out of energy during the dynamics of the system, then an associatedµN term must not appear in the probability expression for the grand canonical ensemble. In effect, this is the same as requiring thatµ = 0 for that kind of particle. Such is the case forphotons in a black cavity, whose number regularly change due to absorption and emission on the cavity walls. (On the other hand, photons in a highly reflective cavity can be conserved and caused to have a nonzeroµ.[14])

In some cases the number of particles is not conserved and theN represents a more abstract conserved quantity:

  • Chemical reactions: Chemical reactions can convert one type of molecule to another; if reactions occur then theNi must be defined such that they do not change during the chemical reaction.
  • High energy particle physics: Ordinary particles can be spawned out of pure energy, if a correspondingantiparticle is created. If this sort of process is allowed, then neither the number of particles nor antiparticles are conserved. Instead,N = (particle number − antiparticle number) is conserved.[15][note 3] As particle energies increase, there are more possibilities to convert between particle types, and so there are fewer numbers that are truly conserved. At the very highest energies, the only conserved numbers areelectric charge,weak isospin, andbaryon–lepton number difference.

On the other hand, in some cases a single kind of particle may have multiple conserved numbers:

  • Closed compartments: In a system composed of multiple compartments that share energy but do not share particles, it is possible to set the chemical potentials separately for each compartment. For example, acapacitor is composed of two isolated conductors and is charged by applying a difference inelectron chemical potential.
  • Slow equilibration: In some quasi-equilibrium situations it is possible to have two distinct populations of the same kind of particle in the same location, which are each equilibrated internally but not with each other. Though not strictly in equilibrium, it may be useful to name quasi-equilibrium chemical potentials which can differ among the different populations. Examples: (semiconductor physics) distinctquasi-Fermi levels (electron chemical potentials) in theconduction band andvalence band; (spintronics) distinct spin-up and spin-down chemical potentials; (cryogenics) distinctparahydrogen andorthohydrogen chemical potentials.

Precise expressions for the ensemble

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The precise mathematical expression for statistical ensembles has a distinct form depending on the type of mechanics under consideration (quantum or classical), as the notion of a "microstate" is considerably different. In quantum mechanics, the grand canonical ensemble affords a simple description since diagonalization provides a set of distinctmicrostates of a system, each with well-defined energy and particle number. The classical mechanical case is more complex as it involves not stationary states but instead an integral over canonicalphase space.

Quantum mechanical

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Further information on the representation of ensembles in quantum mechanics:Statistical ensemble (mathematical physics)

A statistical ensemble in quantum mechanics is represented by adensity matrix, denoted byρ^{\displaystyle {\hat {\rho }}}. The grand canonical ensemble is the density matrix[citation needed]ρ^=exp(1kT(Ω+μ1N^1++μsN^sH^)),{\displaystyle {\hat {\rho }}=\exp \left({\tfrac {1}{kT}}\left(\Omega +\mu _{1}{\hat {N}}_{1}+\dots +\mu _{s}{\hat {N}}_{s}-{\hat {H}}\right)\right),}whereĤ is the system's total energy operator (Hamiltonian),1 is the system's totalparticle number operator for particles of type 1,2 is the totalparticle number operator for particles of type 2, and so on.exp is thematrix exponential operator. The grand potentialΩ is determined by the probability normalization condition that the density matrix has atrace of one,Trρ^=1{\displaystyle Tr{\hat {\rho }}=1}:eΩkT=Trexp(1kT(μ1N^1++μsN^sH^)).{\displaystyle e^{-{\frac {\Omega }{kT}}}=\operatorname {Tr} \exp \left({\tfrac {1}{kT}}\left(\mu _{1}{\hat {N}}_{1}+\dots +\mu _{s}{\hat {N}}_{s}-{\hat {H}}\right)\right).}

Note that for the grand ensemble, the basis states of the operatorsĤ,1, etc. are all states withmultiple particles inFock space, and the density matrix is defined on the same basis. Since the energy and particle numbers are all separately conserved, these operators are mutually commuting.

The grand canonical ensemble can alternatively be written in a simple form usingbra–ket notation, since it is possible (given the mutually commuting nature of the energy and particle number operators) to find a completebasis of simultaneous eigenstates|ψi, indexed byi, whereĤ|ψi =Ei|ψi,1|ψi =N1,i|ψi, and so on. Given such an eigenbasis, the grand canonical ensemble is simplyρ^=ieΩ+μ1N1,i++μsNs,iEikT|ψiψi|{\displaystyle {\hat {\rho }}=\sum _{i}e^{\frac {\Omega +\mu _{1}N_{1,i}+\dots +\mu _{s}N_{s,i}-E_{i}}{kT}}|\psi _{i}\rangle \langle \psi _{i}|}eΩkT=ieμ1N1,i++μsNs,iEikT.{\displaystyle e^{-{\frac {\Omega }{kT}}}=\sum _{i}e^{\frac {\mu _{1}N_{1,i}+\dots +\mu _{s}N_{s,i}-E_{i}}{kT}}.}where the sum is over the complete set of states with statei havingEi total energy,N1,i particles of type 1,N2,i particles of type 2, and so on.

Classical mechanical

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Further information on the representation of ensembles in classical mechanics:Statistical ensemble (mathematical physics)

In classical mechanics, a grand ensemble is instead represented by ajoint probability density function defined over multiplephase spaces of varying dimensions,ρ(N1, …Ns,p1, …pn,q1, …qn), where thep1, …pn andq1, …qn are thecanonical coordinates (generalized momenta and generalized coordinates) of the system's internal degrees of freedom. The expression for the grand canonical ensemble is somewhat more delicate than thecanonical ensemble since:[1]

  • The number of particles and thus the number of coordinatesn varies between the different phase spaces, and,
  • it is vital to consider whether permuting similar particles counts as a distinct state or not.

In a system of particles, the number of degrees of freedomn depends on the number of particles in a way that depends on the physical situation. For example, in a three-dimensional gas of monoatomsn = 3N, however in molecular gases there will also be rotational and vibrational degrees of freedom.

The probability density function for the grand canonical ensemble is:ρ=1hnCeΩ+μ1N1++μsNsEkT,{\displaystyle \rho ={\frac {1}{h^{n}C}}e^{\frac {\Omega +\mu _{1}N_{1}+\dots +\mu _{s}N_{s}-E}{kT}},}where

  • E is the energy of the system, a function of the phase(N1, …Ns,p1, …pn,q1, …qn),
  • h is an arbitrary but predetermined constant with the units ofenergy×time, setting the extent of one microstate and providing correct dimensions toρ.[note 4]
  • C is an overcounting correction factor (see below), a function ofN1, …Ns.

Again, the value ofΩ is determined by demanding thatρ is a normalized probability density function:eΩkT=N1=0Ns=01hnCeμ1N1++μsNsEkTdp1dqn{\displaystyle e^{-{\frac {\Omega }{kT}}}=\sum _{N_{1}=0}^{\infty }\cdots \sum _{N_{s}=0}^{\infty }\int \cdots \int {\frac {1}{h^{n}C}}e^{\frac {\mu _{1}N_{1}+\cdots +\mu _{s}N_{s}-E}{kT}}\,dp_{1}\cdots dq_{n}}This integral is taken over the entire availablephase space for the given numbers of particles.

Overcounting correction

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Further information on phase space overcounting:Statistical ensemble (mathematical physics)

A well-known problem in the statistical mechanics of fluids (gases, liquids, plasmas) is how to treat particles that are similar or identical in nature: should they be regarded as distinguishable or not? In the system's equation of motion each particle is forever tracked as a distinguishable entity, and yet there are also valid states of the system where the positions of each particle have simply been swapped: these states are represented at different places in phase space, yet would seem to be equivalent.

If the permutations of similar particles are regarded to count as distinct states, then the factorC above is simplyC = 1. From this point of view, ensembles include every permuted state as a separate microstate. Although appearing benign at first, this leads to a problem of severely non-extensive entropy in the canonical ensemble, known today as theGibbs paradox. In the grand canonical ensemble a further logical inconsistency occurs: the number of distinguishable permutations depends not only on how many particles are in the system, but also on how many particles are in the reservoir (since the system may exchange particles with a reservoir). In this case the entropy and chemical potential are non-extensive but also badly defined, depending on a parameter (reservoir size) that should be irrelevant.

To solve these issues it is necessary that the exchange of two similar particles (within the system, or between the system and reservoir) must not be regarded as giving a distinct state of the system.[1][note 5] In order to incorporate this fact, integrals are still carried over full phase space but the result is divided byC=N1!N2!Ns!,{\displaystyle C=N_{1}!N_{2}!\cdots N_{s}!,}which is the number of different permutations possible. The division byC neatly corrects the overcounting that occurs in the integral over all phase space.

It is of course possible to include distinguishabletypes of particles in the grand canonical ensemble—each distinguishable typei{\displaystyle i} is tracked by a separate particle counterNi{\displaystyle N_{i}} and chemical potentialμi{\displaystyle \mu _{i}}. As a result, the only consistent way to include "fully distinguishable" particles in the grand canonical ensemble is to consider every possible distinguishable type of those particles, and to track each and every possible type with a separate particle counter and separate chemical potential.

See also

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Notes

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  1. ^To quote Reif, "For purposes of calculating mean values of physical quantities, it makes no noticeable difference whether a macroscopic system is isolated, or in contact with a reservoir with which it can only exchange energy, or in contact with a reservoir with which it can exchange both energy and particles. [...] In some problems where the constraint of a fixed number of particles is cumbersome, one can thus readily circumvent the complication by approximating the actual situation with [...] the grand canonical distribution."
  2. ^Thermal and chemical contact means that the systems are able to exchange energy and particles through a connection. The connection must be weak as to not significantly disturb the systems' microstates.
  3. ^Of course, very high temperatures are required for significant thermal generation of particle-antiparticle pairs, e.g., of order 109 K for electron-positron creation, and so this process is not a concern for everyday thermodynamics.
  4. ^(Historical note) Gibbs' original ensemble effectively seth = 1 [energy unit]×[time unit], leading to unit-dependence in the values of some thermodynamic quantities like entropy and chemical potential. Since the advent of quantum mechanics,h is often taken to be equal to thePlanck constant in order to obtain a semiclassical correspondence with quantum mechanics.
  5. ^This can be compared to thecanonical ensemble where it is optional to consider particles as distinguishable; this only givesN-dependent error in entropy, which is unobservable as long asN is kept constant. In general, however, there is no such freedom: "when the number of particles in a system is to be treated as variable, the average index of probability for phases generically defined corresponds to entropy." (Gibbs).

References

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  1. ^abcdefghijklmGibbs, Josiah Willard (1902).Elementary Principles in Statistical Mechanics. New York:Charles Scribner's Sons.
  2. ^Gao, Xiang; Gallicchio, Emilio; Roitberg, Adrian (2019)."The generalized Boltzmann distribution is the only distribution in which the Gibbs-Shannon entropy equals the thermodynamic entropy".The Journal of Chemical Physics.151 (3): 034113.arXiv:1903.02121.Bibcode:2019JChPh.151c4113G.doi:10.1063/1.5111333.PMID 31325924.S2CID 118981017.
  3. ^Reif, F. (1965).Fundamentals of Statistical and Thermal Physics. McGraw–Hill.ISBN 978-0-07-051800-1.
  4. ^Chaudhuri, G.; Gupta, S. (2007). "Specific heat and bimodality in canonical and grand canonical versions of the thermodynamic model".Physical Review C.76 (1) 014619.arXiv:0704.0288.Bibcode:2007PhRvC..76a4619C.doi:10.1103/PhysRevC.76.014619.S2CID 119152931.
  5. ^Gao, Xiang (March 2022)."The Mathematics of the Ensemble Theory".Results in Physics.34 105230.arXiv:2006.00485.Bibcode:2022ResPh..3405230G.doi:10.1016/j.rinp.2022.105230.S2CID 221978379.
  6. ^"5.1 the Gibbs Distribution".
  7. ^"Archived copy"(PDF). Archived fromthe original(PDF) on 2013-10-19. Retrieved2013-05-02.{{cite web}}: CS1 maint: archived copy as title (link)
  8. ^"Handout 9. NPT and Grand Canonical Ensembles"(PDF).micro.stanford.edu. 26 January 2011. Retrieved4 November 2023.
  9. ^Srivastava, R. K.; Ashok, J. (2005).Statistical Mechanics.New Delhi: PHI Learning Pvt. Ltd.ISBN 978-81-203-2782-5.
  10. ^abTer Haar, D. (1955). "On the Use of Grand Ensembles in Statistical Mechanics: A New Derivation of Saha's Formula".American Journal of Physics.23 (6):326–331.doi:10.1119/1.1934002.
  11. ^abBalkanski, M.; Wallis, R.F. (2000).Semiconductor Physics and Applications. Oxford University Press.ISBN 0-19-851740-8.
  12. ^Alton, G. D. (1988)."Characterization of a cesium surface ionization source with a porous tungsten ionizer. I".Review of Scientific Instruments.59 (7):1039–1044.Bibcode:1988RScI...59.1039A.doi:10.1063/1.1139776.
  13. ^"2. Semiconductor Doping Technology".
  14. ^Ciuti, C. (2014)."Statistical flickers in a Bose-Einstein Condensate of Photons".Physics.7 7.Bibcode:2014PhyOJ...7....7C.doi:10.1103/Physics.7.7.
  15. ^Burakovsky, L.; Horwitz, L. P.; Schieve, W. C. (1996). "New relativistic high-temperature Bose-Einstein condensation".Physical Review D.54 (6):4029–4038.arXiv:hep-th/9604039.Bibcode:1996PhRvD..54.4029B.doi:10.1103/PhysRevD.54.4029.PMID 10021081.S2CID 18182534.
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