Monte Carlo in the microcanonical ensemble: Difference between revisions
Jump to navigation
Jump to search
Line 8: | Line 8: | ||
the potential energy (function of the position coordinates) | the potential energy (function of the position coordinates) | ||
Let <math> \left. E \right. </math> be the total energy of the system | Now, let us consider the system in a microcanonical ensemble; | ||
Let <math> \left. E \right. </math> be the total energy of the system (conestrained in this ensemble) | |||
The probability, <math> \left. \Pi \right. </math> of a given position configuratiom <math> \left. X^{3N} \right. </math>, with potential energy | The probability, <math> \left. \Pi \right. </math> of a given position configuratiom <math> \left. X^{3N} \right. </math>, with potential energy |
Revision as of 16:55, 28 February 2007
Integration of the kinetic degrees of freedom
Consider a system of identical particles, with total energy given by:
where the first term on the right hand side is the kinetic energy, whereas the second one is the potential energy (function of the position coordinates)
Now, let us consider the system in a microcanonical ensemble; Let be the total energy of the system (conestrained in this ensemble)
The probability, of a given position configuratiom , with potential energy can be written as:
- ; (Eq. 1)
where stands for the 3N momenta, and
The Integral in the right hand side of Eq. 1 corresponds to the surface of a 3N-dimensional hyper-sphere of radious ; Therefore:
See Ref 1 for an application of Monte Carlo simulation using this ensemble.