Canonical Ensemble
The canonical ensemble describes a system that can exchange energy with a thermal environment while its particle number and external control parameters are fixed. Its standard macroscopic controls are
with Hamiltonian acting on the fixed- Hilbert space.
The equilibrium state is
where
The subscript is often suppressed, but the trace domain is part of the ensemble definition. The general operator properties of this state live in Thermal Density Operators. Here the focus is fixed- thermodynamics.
Helpful background. Use thermal density operators for the spectral Gibbs state and ensemble comparison for the trace-space choice.
Fixed temperature and fluctuating energy
Section titled “Fixed temperature and fluctuating energy”| Quantity | Canonical status |
|---|---|
| temperature | externally fixed |
| volume and other controls | externally fixed |
| particle number | fixed exactly |
| energy | fluctuates |
| density operator | |
| thermodynamic potential | Helmholtz free energy |
The ensemble describes a probability distribution over energy eigenstates in one fixed-particle-number sector. It does not imply that particles are exchanged with the environment. Particle exchange belongs to the grand-canonical ensemble.
Boltzmann weights from a large reservoir
Section titled “Boltzmann weights from a large reservoir”Let a system exchange energy with a much larger bath. Neglect their interaction energy in the equilibrium state count and assign equal probabilities in the composite energy shell. If the system occupies one eigenstate of energy , its weight is proportional to the bath’s compatible state count .
Choose a reference system energy and write and . Expanding the smooth bath entropy about gives
Here and are evaluated at the reference bath state. Dividing by and exponentiating yields
The reference-dependent constant cancels in normalization. An effectively infinite bath makes the correction negligible throughout the energies the system appreciably samples. For a stable bath with , the quadratic correction suppresses excursions relative to the ideal Boltzmann weights. Expanding about a reference energy makes this criterion independent of the energy zero.
This derivation assumes an equilibrium shell assignment and meaningful subsystem energies. Weak contact can permit equilibration while contributing negligible equilibrium interaction energy. When that approximation fails, the reduced state involves a Hamiltonian of mean force.
The Partition Function as a Generating Object
Section titled “The Partition Function as a Generating Object”The logarithm of the fixed-sector trace determines equilibrium energy, entropy, and free energy. The following derivatives hold with the other external parameters fixed; see partition functions for spectral evaluation and cumulants.
Define
Equivalently,
The internal energy is
for a Hamiltonian with no explicit temperature or dependence.
Another useful identity is
The entropy follows from
and equals
These relations use the natural logarithm.
Helmholtz Free Energy
Section titled “Helmholtz Free Energy”The Helmholtz free energy is the thermodynamic potential appropriate to fixed , , and :
At positive temperature, the Gibbs state minimizes the state functional
over normalized density operators on .
The equilibrium value is
Free energy balances energy against entropy. At positive temperature, low energy and large entropy both lower this functional. For a normalizable negative-temperature Gibbs state the variational inequality reverses; see the relative-entropy identity.
Generalized Forces
Section titled “Generalized Forces”Let the Hamiltonian depend on an external parameter . Even when and do not commute, cyclicity of the trace gives
If the physical generalized force is defined by
then
Examples include:
for pressure and
for magnetization when the Hamiltonian contains the appropriate magnetic-field coupling.
Sign conventions follow the definition of the Hamiltonian term. They should be checked rather than memorized independently of .
Differential Form
Section titled “Differential Form”For a simple system,
The canonical ensemble holds fixed during fluctuations, but can still be defined by comparing neighboring fixed- systems:
in a thermodynamic or smoothly interpolated description.
At finite integer , addition and removal chemical potentials are naturally finite differences:
They need not coincide in a finite system or across a gap.
Energy Fluctuations
Section titled “Energy Fluctuations”The second derivative of is
Therefore
For a temperature-independent Hamiltonian,
Thus
in the canonical ensemble under these assumptions.
This does not prove that every definition of heat capacity in every ensemble is nonnegative. Microcanonical and nonadditive long-range systems can require separate analysis.
Energy distributions and concentration
Section titled “Energy distributions and concentration”For distinct energy values with degeneracy ,
The degeneracy multiplies the probability of the energy value, not the probability of each individual eigenstate. The competition between increasing state count and decreasing Boltzmann weight determines the typical energy.
For regular additive systems away from criticality, , so the root-mean-square fluctuation of energy per particle is
The ratio to the mean energy has this scaling only if the chosen energy density is nonzero; it depends on the arbitrary energy zero. Concentration of energy density is the physically useful statement. It helps establish ensemble equivalence under additional locality and regularity assumptions, but global fluctuations still distinguish the ensembles.
Near a critical point the scaling can change. At first-order coexistence the energy distribution can be bimodal, so a Gaussian approximation need not describe it.
Density of states and the dominant energy
Section titled “Density of states and the dominant energy”The exact density of states is , with units of inverse energy. Then
For a smooth approximation, define a dimensionless entropy using a fixed reference energy :
An interior dominant maximum satisfies . If it is sufficiently sharp and unique, at leading extensive order. At coexistence several contributions may compete; a stationary point is not enough to identify the dominant one. The microcanonical entropy conventions explain the relation to finite-window counts.
Factorization for Independent Subsystems
Section titled “Factorization for Independent Subsystems”Suppose
on
The terms commute, so
Therefore
and
This factorization assumes a tensor-product decomposition with independent Hamiltonians. Identical-particle symmetrization, global particle-number constraints, or interactions can prevent a naive product of one-particle partition functions.
Canonical Ensemble and Identical Particles
Section titled “Canonical Ensemble and Identical Particles”For identical particles, the trace must be taken over the appropriate symmetric or antisymmetric -particle subspace:
One should not begin with an -fold labeled-particle trace and forget to impose exchange symmetry.
For a dilute classical gas, a factor of emerges in the appropriate limit. For a quantum-degenerate gas, Bose–Einstein or Fermi–Dirac statistics must be treated directly.
The canonical ensemble fixes exactly. It can still describe identical particles, occupation numbers, and exchange correlations.
Finite-Size Analyticity
Section titled “Finite-Size Analyticity”For a finite-dimensional Hamiltonian analytic in a real parameter ,
at finite positive temperature. Therefore
is analytic under the stated assumptions.
Finite systems can have sharp peaks, rapid crossovers, and bimodal distributions. A genuine thermal nonanalyticity requires an infinite-system or another singular limit.
Zero temperature is different: taking can expose a finite-system level crossing in the ground-state energy.
Temperature-Dependent Effective Hamiltonians
Section titled “Temperature-Dependent Effective Hamiltonians”The familiar identity
assumes has no explicit dependence. If an effective Hamiltonian is written as , then
The extra term cannot be dropped.
Temperature-dependent effective Hamiltonians can arise after integrating out degrees of freedom or fitting phenomenological parameters. Their thermodynamic consistency must be derived from the underlying model rather than assumed from formal resemblance.
Example: One Two-Level System
Section titled “Example: One Two-Level System”Let
With
the partition function is
The free energy and internal energy are
The energy variance is
Therefore
The heat capacity vanishes as and and has a finite-temperature Schottky peak.
Example: Independent Two-Level Sites
Section titled “Example: Independent Two-Level Sites”For distinguishable noninteracting copies,
Factorization gives
Consequently,
The energy standard deviation grows as , while the mean energy grows as at fixed finite temperature. Relative energy fluctuations therefore scale as .
Example: Harmonic Oscillator
Section titled “Example: Harmonic Oscillator”For
define
The partition function is
The internal energy is
The heat capacity is
As , and . At high temperature, approaches and approaches .
Exercises
Section titled “Exercises”Shift the energy zero
Section titled “Shift the energy zero”If , determine how , , , , , and change.
Solution
The partition function changes by
The normalized state is unchanged:
The free energy and internal energy shift:
The entropy is
and is unchanged when is temperature independent.
Independent-site factorization
Section titled “Independent-site factorization”For independent two-level sites with energies and , derive , , and the probability that exactly sites are excited.
Solution
Each site has
Independence gives
There are configurations with excitations, each of energy . Hence
This is a binomial distribution with single-site excitation probability .
Fluctuation identity
Section titled “Fluctuation identity”Show that
Solution
First,
Differentiating again,
Noncommuting generalized force
Section titled “Noncommuting generalized force”For with fixed , calculate and verify even though .
Solution
Since , where , its eigenvalues are . Thus
The density operator is . Using gives the same result for . Cyclicity of the trace justifies the first derivative without replacing a noncommuting operator exponential by scalar differentiation.
References
Section titled “References”- H. B. Callen, Thermodynamics and an Introduction to Thermostatistics, 2nd ed., Wiley (1985).
- K. Huang, Statistical Mechanics, 2nd ed., Wiley (1987).
- M. Kardar, Statistical Physics of Particles, Cambridge University Press (2007).
- L. D. Landau and E. M. Lifshitz, Statistical Physics, Part 1, 3rd ed., Butterworth–Heinemann (1980).
- R. K. Pathria and P. D. Beale, Statistical Mechanics, 3rd ed., Elsevier (2011).
- L. E. Reichl, A Modern Course in Statistical Physics, 4th ed., Wiley–VCH (2016).