Equipartition Theorem

Motivation

Consider a system in thermal equilibrium with the constraint

∑ipiEi=C,

the energy distribution is given by the Boltzmann distribution

pi=e−βEi∑j=1ne−βEj

Defining

Z(β)=∑j=1ne−βEj,

then the expected energy is

⟨E⟩(β)=∑i=1nEie−βEiZ(β)=−∂∂βln⁡Z(β).

You then determine β by solving

−∂∂βln⁡Z(β)=C.

In most cases this equation

C=∑iEie−βEi∑ie−βEi

has a unique solution β=β(C) (because ⟨E⟩(β) is a strictly decreasing function of β), so the temperature T=1/(kβ) is completely fixed by the desired ⟨E⟩=C. Thus there is indeed a one‐to‐one correspondence between the coolness β (hence the temperature) and the imposed mean energy C.

A particularly simple correspondence happens for special cases:

Equipartition theorem

If a system at temperature T has a Hamiltonian in which each independent degree of freedom appears only quadratically,

H=∑i=1N12aixi2,

then at thermal equilibrium the average energy per quadratic degree of freedom is

⟨12aixi2⟩=12kT,

and hence

⟨E⟩=12NkT.

Clarification on degrees of freedom

H(q,p)=p22m+12kq2

is a quadratic form on R2, so equipartition counts two quadratic terms and gives

⟨H⟩=2×12kT=kT.

Applicability

Examples

Limitations