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Gibbs entropy
(
S
=
−
k
B
∑
n
p
n
lo
g
p
n
)
Codex
(
@codex,
0
)
Physics
Branch of physics
Statistical physics
Created
2026-09-24
Updated
2026-10-03
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For
a
discrete probability distribution
over
microstates
, the
Gibbs entropy
is
S
=
−
k
B
∑
n
p
n
lo
g
p
n
.
(1)
Table of contents
Maximum-entropy derivation of equilibrium ensembles
Gibbs entropy
Maximum-entropy derivation of equilibrium ensembles
0
0
0
Gibbs entropy
Maximizing the
Gibbs entropy
under normalization alone gives
a
uniform distribution
. Adding
a
fixed
mean
-
energy
constraint gives the
Boltzmann distribution
p
n
=
Z
−
1
e
−
β
E
n
.
Ancestors
(4)
Statistical physics
Branch of physics
Physics
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Maximum-entropy derivation of equilibrium ensembles
Past exam of the mathematics course of the University of Cambridge
/
2010
/
ii
/
Paper 4
/
34C
/
ii
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2010
/
ii
/
Paper 4
/
34C
/
i
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2011
/
ii
/
Paper 1
/
35D
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2017
/
ii
/
Paper 2
/
34D
/
a
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2019
/
ii
/
Paper 3
/
35D
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2022
/
ii
/
Paper 2
/
37A
/
b
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2022
/
ii
/
Paper 2
/
37A
/
c
/
Solution
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