Adiabatic scaling of a Fermi gas with power-law density of states Created 2026-10-05 Updated 2026-10-06
For density of states , , the grand canonical ensemble has . Strict monotonicity of Fermi gas entropy per particle makes constant at fixed entropy and particle number. Therefore and are constant along a reversible adiabatic process.
Here is the probability of microstate , including all occupation data. In the grand canonical ensemble, with energy , particle number , chemical potential and ,
Substitution in the Gibbs entropy gives , where and . Differentiating at fixed gives . Therefore
The chemical potential is the change in internal energy when one particle is added at fixed entropy and volume:
Equivalently, for the Helmholtz free energy.
Let a microstate have energy and particle number . Maximizing the Gibbs entropy subject to normalization and fixed mean values of and is the maximum-entropy derivation of equilibrium ensembles. With Lagrange multipliers , , and , vary
The stationarity equation is . Normalization therefore gives the grand canonical ensemble
Here is the grand canonical partition function and is the Boltzmann constant.
For one fermionic quantum state of energy , the Pauli exclusion principle permits occupation numbers only . Its two grand-canonical weights are and , so its mean occupation is the Fermi-Dirac distribution
For a free nonrelativistic particle, . In a region of area , the number of wave-vector states in the annulus from to , including the two spin angular momentum states, is
Since , the two-dimensional free-electron density of states is constant:
We now use units in which , as in the question. At zero temperature, the Fermi-Dirac distribution is a step function, and hence
At positive temperature the same fixed particle number satisfies the exact relation
Thus
This is the low-temperature particle-number cancellation for constant density of states. Therefore, for , the mean number of particles in the energy interval is
Finally, compare the internal energy with its zero-temperature value. The thermally excited particles above and holes below have equal leading particle numbers, so their terms proportional to cancel. With ,
where the integral follows from the fermion-to-boson thermal integral ratio. Differentiation gives the linear low-temperature heat capacity of a two-dimensional Fermi gas:
The requested power law is therefore linear in , with exponent one.
The microcanonical ensemble fixes energy, volume and particle number; the canonical ensemble fixes temperature, volume and particle number; and the grand canonical ensemble fixes temperature, volume and chemical potential while allowing particle exchange. For macroscopic systems with short-range interactions, away from phase coexistence and other nonconcave regimes, relative fluctuations vanish in the thermodynamic limit and the ensembles give equivalent local thermodynamics.
For bosons the occupation number is . Summing the geometric series for the single-mode grand canonical ensemble gives the Bose-Einstein distribution
A grand canonical ensemble describes a system that exchanges both energy and particles with a reservoir, at fixed . If microstate has occupation and one-particle energy , then
with the allowed occupations chosen for the particle statistics.
The microcanonical ensemble describes an isolated system at fixed energy , volume , and particle number , assigning equal weight to accessible states in a narrow energy shell.
The canonical ensemble describes a system that can exchange energy with a heat reservoir at fixed temperature , while and remain fixed. A microstate has probability
The grand canonical ensemble allows exchange of both energy and particles at fixed , , and chemical potential . Its state weights are
The choice is irrelevant for bulk thermodynamic observables in the thermodynamic limit when the system is additive, has sufficiently short-range interactions, and lies away from singular phase-coexistence regimes. Then relative energy and particle-number fluctuations vanish as the system size grows. These are the standard conditions for equivalence of statistical ensembles.