Susceptibility
In statistical mechanics, a susceptibility is a linear-response coefficient: it measures how much an ensemble average of an observable changes when one perturbs the Hamiltonian by a small conjugate field.
Definition (response to a field)
Suppose a field couples linearly to an extensive observable (e.g. magnetization) through
with equilibrium described by the canonical ensemble at inverse temperature . Let denote volume (or number of sites). The susceptibility per unit volume is
This is the prototypical example; more generally, susceptibilities form a matrix of derivatives relating intensive “fields” to extensive “responses,” mirroring the thermodynamic distinction between intensive and extensive variables.
Partition-function and fluctuation formulas
Let be the canonical partition function for . Then
so the susceptibility can be written as a second derivative:
Using standard identities (see fluctuation formulas from $\log Z$ ), one obtains the fluctuation–response relation
where the variance is the ensemble variance of .
More generally, if couples to and one measures the response of , then
expressed via the ensemble covariance .
Correlation-function representation
If is a spatial sum of local degrees of freedom, for example , then translation invariance gives
so
Here is the connected two-point correlation . This identity makes the link to the correlation length transparent: if connected correlations decay slowly in space, the spatial sum is large, and the susceptibility becomes large.
Physical interpretation
- Large susceptibility means the system is easily polarized/ordered by a small field; microscopically, this corresponds to large fluctuations (large ) and/or long-range correlations.
- Near continuous phase transitions, the susceptibility often grows strongly or diverges in the thermodynamic limit , reflecting the growth of correlated domains measured by the correlation length.