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Statistical mechanics, structure of matter Definition

Statistical ensemble

Builds on MicrostateProbability measureMeasurable spaceExpected value

Definition

Let Ω\Omega be the set of microstates of a classical system, made into a measurable space. A statistical ensemble for the system is a probability measure μ\mu on Ω\Omega. The ensemble average of an integrable observable A ⁣:Ω→ℝA \colon \Omega \to \R is its expected value ⟨A⟩μ=∫ΩA dμ\langle A \rangle_\mu = \int_\Omega A \, d\mu. For a quantum system with Hilbert space ℋ\mathcal{H}, an ensemble is a density operator ρ\rho. This is a positive trace-class operator on ℋ\mathcal{H} with trace 11. The average of a bounded observable AA is then tr⁡(ρA)\tr(\rho A). An ensemble is stationary (an equilibrium ensemble) if it is invariant under the time evolution of the system.

Remarks

Example: for a system with finitely many microstates Ω={1,…,n}\Omega = \set{1, \dots, n}, any probability vector (p1,…,pn)(p_1, \dots, p_n) with pi≥0p_i \ge 0 and ∑ipi=1\sum_i p_i = 1 is an ensemble, and ⟨A⟩=∑ipiA(i)\langle A \rangle = \sum_i p_i A(i). Non-example: the weights pi=1p_i = 1 for all ii with n≥2n \ge 2 do not form an ensemble, since they sum to n≠1n \ne 1; dividing by nn gives the uniform ensemble. In classical mechanics, let an ensemble have a density ρ\rho with respect to Liouville measure on phase space. It is stationary when ρ\rho is constant along trajectories. Any density of the form ρ=g(H)\rho = g(H), with HH the Hamiltonian, is stationary.

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To understand this page from the ground up, read these 5 pages in order. The foundations come first.

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  1. Expected value concept
  2. Measurable space concept
  3. Microstate concept
  4. Probability measure concept
  5. Statistical ensemble definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Ensemble_(mathematical_physics)
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MSC82B03, 82B05
DefinesStatistical ensemble
UsesMicrostate, Probability measure, Measurable space, Expected value
Changed3 November 2026

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