CACrown ArchivesThe cinema collection
Menu
Research dossier · General Reference

Boltzmann distribution

probability distribution of energy states of a system

Cross-disciplinary reference desk with index cards, atlas, dictionary and catalogue
General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionAug 11, 2026
Entity authorityQ834200
Source-derived summary

In statistical mechanics and mathematics, a Boltzmann distribution (also called Gibbs distribution) is a probability distribution or probability measure that gives the probability that a system will be in a certain state as a function of that state's energy and the temperature of the system. The distribution is expressed in the form

p

i

exp

(

ε

i

k

B

T

)

,

{\displaystyle p_{i}\propto \exp \left(-{\frac {\varepsilon _{i}}{k_{\text{B}}T}}\right),}

where pi is the probability of the system being in state i, exp is the exponential function, εi is the energy of that state, and a constant kBT of the distribution is the product of the Boltzmann constant kB and thermodynamic temperature T. The symbol

{\displaystyle \propto }

denotes proportionality (see § The distribution for the proportionality constant).

The term system here has a wide meaning; it can range from a collection of "sufficient number" of atoms or a single atom to a macroscopic system such as a natural-gas storage tank. Therefore, the Boltzmann distribution can be used to solve a wide variety of problems. The distribution shows that states with lower energy will always have a higher probability of being occupied.

The ratio of probabilities of two states is known as the Boltzmann factor and only depends on the states' energy difference:

p

i

p

j

=

exp

(

ε

i

k

B

T

ε

j

k

B

T

)

=

exp

(

ε

j

ε

i

k

B

T

)

.

{\displaystyle {\frac {p_{i}}{p_{j}}}=\exp \left({\frac {-\varepsilon _{i}}{k_{\text{B}}T}}-{\frac {-\varepsilon _{j}}{k_{\text{B}}T}}\right)=\exp \left({\frac {\varepsilon _{j}-\varepsilon _{i}}{k_{\text{B}}T}}\right).}

The Boltzmann distribution is named after Ludwig Boltzmann, who first formulated it in 1868 during his studies of the statistical mechanics of gases in thermal equilibrium. Boltzmann's statistical work is borne out in his paper "On the Relationship between the Second Fundamental Theorem of the Mechanical Theory of Heat and Probability Calculations Regarding the Conditions for Thermal Equilibrium"

The distribution was later investigated extensively, in its modern generic form, by Josiah Willard Gibbs in 1902.

The Boltzmann distribution should not be confused with the Maxwell–Boltzmann distribution or Maxwell–Boltzmann statistics. The Boltzmann distribution gives the probability that a system will be in a certain state as a function of that state's energy, while the Maxwell–Boltzmann distributions give the probabilities of particle speeds or energies in ideal gases.

Editorial summary

The public source identifies “Boltzmann distribution” as probability distribution of energy states of a system. This brief keeps that definition visible, then builds a research path around Boltzmann, distribution and probability.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current lead gives the account dated anchors—1868, 1902—that can be checked directly. The selected authority fields contribute no independent date. Its value is orientation rather than verdict, with Boltzmann, distribution and probability providing the first useful test.
Editorial analysis

Why this record matters

A short description can identify a subject without explaining its stakes. For “Boltzmann distribution”, the useful work is to connect “probability distribution of energy states of a system” to the records capable of establishing context and consequence.

Evidence profile

Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Aug 11, 2026. The linked authority identifier is Q834200. None of the 0 selected statements returned an explicit reference. The first chronological checks are 1868 and 1902.

Critical limits

The absence of detail may reflect summary conventions rather than a lack of surviving documentation. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

Best used for
  • Subject orientation
  • Search vocabulary
  • Locating named sources
Verify next

The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Boltzmann distribution”, its source revision and the description used here.
  2. Expand the search: follow Boltzmann distribution primary sources, Boltzmann distribution archive and Boltzmann research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Boltzmann distribution”?
  2. What terminology or title could unlock a more precise catalogue search?
  3. Which institution is responsible for the underlying evidence?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Boltzmann distribution” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.