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Boltzmann Distribution

The Boltzmann distribution assigns equilibrium probabilities to physical states according to their energies and the temperature of a thermal reservoir.

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The Boltzmann distribution is a probability distribution that describes how a physical system occupies its possible microscopic states at thermal equilibrium. Each state receives a statistical weight that decreases exponentially with its energy at positive temperature. A foundational result of statistical mechanics, it connects microscopic states with macroscopic thermal behavior and supplies the equilibrium probabilities for the canonical ensemble. (damtp.cam.ac.uk)

Mathematical definition

For discrete states indexed by ii, with energies EiE_i, the probability of state ii is

pi=e−βEiZ,β=1kBT,Z=∑je−βEj.p_i=\frac{e^{-\beta E_i}}{Z}, \qquad \beta=\frac{1}{k_{\mathrm B}T}, \qquad Z=\sum_j e^{-\beta E_j}.

Here kBk_{\mathrm B} is the Boltzmann constant, TT is absolute temperature, and ZZ is the partition function. The numerator, called the Boltzmann factor, is an exponential function of energy. Division by ZZ ensures that the probabilities sum to one; the distribution requires this normalization to be finite. (damtp.cam.ac.uk)

For two individual states,

pipj=exp⁡ ⁣[−Ei−EjkBT].\frac{p_i}{p_j} =\exp\!\left[-\frac{E_i-E_j}{k_{\mathrm B}T}\right].

Thus only energy differences determine their relative probabilities. Adding the same constant to every energy leaves the distribution unchanged. The quantity kBTk_{\mathrm B}T provides the relevant thermal energy scale: an energy separation much larger than this scale strongly suppresses the higher state. These consequences follow directly from the canonical probability formula. (damtp.cam.ac.uk)

Physical origin and assumptions

The standard derivation considers a system exchanging energy with a much larger thermal reservoir while its volume and particle number remain fixed. The combined system and reservoir are isolated, with total energy EtotE_{\mathrm{tot}}. Assuming equally probable accessible microstates of the combined object, the probability of system state ii is proportional to the reservoir’s number of states at energy Etot−EiE_{\mathrm{tot}}-E_i. (interactivetextbooks.tudelft.nl)

Writing this multiplicity in terms of reservoir entropy gives

pi∝exp⁡ ⁣[SR(Etot−Ei)kB].p_i\propto \exp\!\left[\frac{S_R(E_{\mathrm{tot}}-E_i)} {k_{\mathrm B}}\right].

For a sufficiently large reservoir, its temperature changes negligibly as energy passes between the two parts. Expanding its entropy to first order,

SR(Etot−Ei)≃SR(Etot)−EiT,S_R(E_{\mathrm{tot}}-E_i) \simeq S_R(E_{\mathrm{tot}})-\frac{E_i}{T},

produces the Boltzmann factor after normalization. The derivation therefore depends on equilibrium and on a reservoir whose temperature is effectively fixed. It describes equilibrium occupancy, rather than the rate at which equilibrium is reached. (interactivetextbooks.tudelft.nl)

States, energy levels, and degeneracy

An individual microstate must be distinguished from an energy level containing several states. If level aa has energy εa\varepsilon_a and degeneracy gag_a, its total probability is

Pa=gae−βεa∑bgbe−βεb.P_a= \frac{g_a e^{-\beta\varepsilon_a}} {\sum_b g_b e^{-\beta\varepsilon_b}}.

The degeneracy counts independent states sharing that energy. A highly degenerate level can consequently have a larger total population than a less degenerate lower level, even though each of its individual states has a smaller probability. This distinction matters when interpreting thermal populations in spectroscopy. (physchem.no)

As an illustrative consequence, two nondegenerate levels with energies 00 and Δ>0\Delta>0 have upper-level probability

Pupper=11+eΔ/(kBT).P_{\mathrm{upper}}=\frac{1}{1+e^{\Delta/(k_{\mathrm B}T)}}.

It approaches zero as T→0+T\to0^+ and one-half as T→∞T\to\infty. These limits describe this finite two-level model, not a general uniform distribution over an unlimited number of states. (physchem.no)

Thermodynamic quantities and fluctuations

The partition function connects state probabilities with thermodynamics. The expected value of energy, identified with the system’s internal energy, is

U=∑ipiEi=−∂ln⁡Z∂β.U=\sum_i p_iE_i =-\frac{\partial\ln Z}{\partial\beta}.

Its Helmholtz free energy is

F=−kBTln⁡Z.F=-k_{\mathrm B}T\ln Z.

Thus ZZ is more than a normalization constant: its dependence on temperature and other system parameters determines equilibrium thermodynamic properties. Computing it can nevertheless be difficult when the number of configurations is large or interactions are complicated. (interactivetextbooks.tudelft.nl)

Energy fluctuates because the system exchanges heat with its reservoir. For temperature-independent state energies at fixed volume and particle number,

Var⁡(E)=∂2ln⁡Z∂β2=kBT2CV,\operatorname{Var}(E) =\frac{\partial^2\ln Z}{\partial\beta^2} =k_{\mathrm B}T^2 C_V,

where CVC_V is the constant-volume heat capacity. This relation links microscopic energy variance to a measurable macroscopic response. (interactivetextbooks.tudelft.nl)

Classical systems

In classical mechanics, states form a continuous phase space of positions and momenta. The corresponding probability density is proportional to e−βHe^{-\beta H}, where HH is the system’s Hamiltonian, and sums over states become integrals with an appropriate phase-space measure. (damtp.cam.ac.uk)

For a nonrelativistic ideal gas, the kinetic energy mv2/2mv^2/2 produces Gaussian velocity components. Accounting for the number of velocity vectors having a given speed yields the three-dimensional Maxwell–Boltzmann speed distribution,

f(v)=4π(m2πkBT)3/2v2e−mv2/(2kBT),v≥0.f(v)=4\pi \left(\frac{m}{2\pi k_{\mathrm B}T}\right)^{3/2} v^2e^{-mv^2/(2k_{\mathrm B}T)}, \qquad v\ge0.

The factor v2v^2 shows why the speed distribution is not simply the Boltzmann factor evaluated at kinetic energy. (damtp.cam.ac.uk)

Relation to quantum statistics

The canonical Boltzmann distribution also applies in quantum mechanics: its states can be the energy eigenstates of an entire many-particle system. It is therefore not restricted to classical particles. (damtp.cam.ac.uk)

However, probabilities for complete system states are different from mean occupations of single-particle states. For ideal quantum gases, those occupations follow Bose–Einstein statistics or Fermi–Dirac statistics. Both reduce to the classical exponential form when occupation numbers are small:

nˉi≃e−β(εi−μ),\bar n_i\simeq e^{-\beta(\varepsilon_i-\mu)},

where μ\mu is the chemical potential. Quantum occupation laws therefore do not invalidate canonical Boltzmann weights; they arise from applying equilibrium statistical mechanics with the appropriate many-particle state counting. (damtp.cam.ac.uk)