The Canonical and Grand Canonical Distribution Functions in Statistical Mechanics - Prof. , Study notes of Physics

The canonical and grand canonical distribution functions in statistical mechanics. The canonical distribution describes a system in equilibrium with a heat bath, while the grand canonical distribution describes a system in equilibrium with a heat bath and able to exchange particles. Both distributions are derived and their forms are presented. The document also includes an example of the canonical distribution for a monatomic ideal gas and suggests further reading.

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The Canonical Distribution Function L04
The Canonical Distribution
Idea: Describe a system “1” in equilibrium with a heat bath “2”, with which it exchanges
energy but not matter. The total system 1+2 is isolated.
Large-system approximation: We only deal with very large systems with short-range
interactions (with respect to the system size). Then, if both subsystems 1 and 2 are large,
most of the variables in each part are statistically independent of those in the other part,
and the distribution function must be a product
ρ(q, p) = ρ1(q1, p1)ρ2(q2, p2)
of probability distributions for the two sets of variables (q1, p1) and (q2, p2).
Form of the distribution function: Taking the log of both sides,
ln ρ(q, p) = ln ρ1(q1, p1) + lnρ2(q2, p2),
which means that ln(p, q) must be an additive constant of the motion (recall that ρis a
constant of the motion by Liouville’s theorem). A known result is that the only possibility
is that it be a linear combination of the ones related to spacetime and internal symmetries,
(E,~p,~
L,Q, ...). Restricting our attention to energy, we get
ln ρ(q, p) = αβ H(q, p),for some constants αand β .
The constant αis fixed by renormalization, so we get
ρ(q, p) = 1
Zc
eβH (q,p),with Zc:= ZΓ
dqdpeβH (q,p).
Note: If the number of states available is a rapidly growing function of the energy, in
the limit of high energies ρbecomes a sharply peaked function.
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The Canonical Distribution Function L

The Canonical Distribution

  • Idea: Describe a system “1” in equilibrium with a heat bath “2”, with which it exchanges energy but not matter. The total system 1+2 is isolated.
  • Large-system approximation: We only deal with very large systems with short-range interactions (with respect to the system size). Then, if both subsystems 1 and 2 are large, most of the variables in each part are statistically independent of those in the other part, and the distribution function must be a product

ρ(q, p) = ρ 1 (q 1 , p 1 ) ρ 2 (q 2 , p 2 )

of probability distributions for the two sets of variables (q 1 , p 1 ) and (q 2 , p 2 ).

  • Form of the distribution function: Taking the log of both sides,

ln ρ(q, p) = ln ρ 1 (q 1 , p 1 ) + ln ρ 2 (q 2 , p 2 ) ,

which means that ln(p, q) must be an additive constant of the motion (recall that ρ is a constant of the motion by Liouville’s theorem). A known result is that the only possibility is that it be a linear combination of the ones related to spacetime and internal symmetries, (E, ~p, L~, Q, ...). Restricting our attention to energy, we get

ln ρ(q, p) = α − β H(q, p) , for some constants α and β.

The constant α is fixed by renormalization, so we get

ρ(q, p) =

Zc

e−βH(q,p)^ , with Zc :=

Γ

dq dp e−βH(q,p)^.

  • Note: If the number of states available is a rapidly growing function of the energy, in the limit of high energies ρ becomes a sharply peaked function.
  • Alternative derivation: Considering the system as part of a large one in a microcanonical state, and calling the rest of the larger system a bath,

ρ(qb, pb, qs, ps) = constant × δ(Hb + Hs − E) , Eb  Es.

Then, using the number Ω(E) of states of energy E accessible to the system,

ρ(qs, ps) =

dqb dpb ρ(qb, pb, qs, ps)

= const × Ωb(E − Hs(qs, ps)) = ∫ Ωb(E^ −^ Hs(qs, ps)) dqbdpb Ωb(E − Hs(qs, ps))

where we have again used implicitly the principle of equal a priori probabilities. Now, since Es  E, we can think of Hs as a small perturbation in Ωb. However, for most systems Ωb varies extremely rapidly with its argument, while its log is a function for which a truncated power series is likely to give a better approximation, so

ρ(qs, ps) =

Ωb(E − Hs(qs, ps))/Ωb(E) ∫ dqbdqb Ωb(E − Hs(qs, ps)/Ωb(E)

= N eln[Ωb(E−Hs(qs,ps))/Ωb(E)]^ =

Z

e−βH(qs,ps)^ ,

where

β :=

∂E

ln

Ωb(E − Hs(qs, ps)) Ωb(E)

or, if S(E − Hs) := kB ln[Ωb(E − Hs(qs, ps))/Ωb(E)], then β := (1/kB) (∂S(E + x)/∂x)x=0.

  • Example: What is the canonical distribution for a monatomic ideal gas?