Overlapping distribution method

The Overlapping distribution method was introduced by Charles H. Bennett{{cite journal|title=Efficient Estimation of Free Energy Differences from Monte Carlo Data|journal=Journal of Computational Physics|year= 1976 |first= C.H. |last= Bennett |author-link= Charles H. Bennett (computer scientist) |volume= 22|issue= 2 |pages=245–268 |doi=10.1016/0021-9991(76)90078-4 |bibcode=1976JCoPh..22..245B}} for estimating chemical potential.

Theory

For two N particle systems 0 and 1 with partition function Q_{0} and Q_{1} ,

from F(N,V,T) = - k_{B}T \ln Q

get the thermodynamic free energy difference is \Delta F = -k_{B}T \ln (Q_{1}/Q_{0}) = - k_{B} T \ln (\frac{\int ds^{N}\exp[-\beta U_{1}(s^{N})]}{\int ds^{N}\exp[-\beta U_{0}(s^{N})]})

For every configuration visited during this sampling of system 1 we can compute the potential energy U as a function of the configuration space, and the potential energy difference is

\Delta U = U_{1}(s^{N}) - U_{0}(s^{N})

Now construct a probability density of the potential energy from the above equation:

p_{1}(\Delta U) = \frac{\int ds^{N}\exp(-\beta U_{1})\delta(U_{1}-U_{0}-\Delta U)}{Q_{1}}

where in p_{1} is a configurational part of a partition function

p_{1}(\Delta U) = \frac{\int ds^{N}\exp(-\beta U_{1})\delta(U_{1}-U_{0}-\Delta U)}{Q_{1}} = \frac{\int ds^{N}\exp[-\beta(U_{0}+\Delta U)]\delta(U_{1}-U_{0}-\Delta U)}{Q_{1}}

= \frac{Q_{0}}{Q_{1}} \exp (-\beta \Delta U) \frac{\int ds^{N}\exp(-\beta U_{0})\delta(U_{1}-U_{0}-\Delta U)}{Q_{0}} = \frac{Q_{0}}{Q_{1}} \exp (- \beta \Delta U) p_{0}(\Delta U)

since

\Delta F = -k_{B}T \ln (Q_{1}/Q_{0})

\ln p_{1}(\Delta U) = \beta(\Delta F -\Delta U) + \ln p_{0}(\Delta U)

now define two functions:

f_{0}(\Delta U) = \ln p_{0}(\Delta U) - \frac{\beta\Delta U}{2}

f_{1}(\Delta U) = \ln p_{1}(\Delta U) + \frac{\beta\Delta U}{2}

thus that

f_{1}(\Delta U) = f_{0}(\Delta U) + \beta\Delta F

and \Delta F can be obtained by fitting f_{1} and f_{0}

References