Monte Carlo in the microcanonical ensemble: Difference between revisions
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== Integration of the kinetic degrees of freedom == | == Integration of the kinetic degrees of freedom == | ||
Consider a system of <math> \left. N \right. </math> identical particles, with total energy <math> \left. H \right. </math> given by: | |||
: <math> H = \sum_{i=1}^{3N} \frac{p_i^2}{2m} + U \left( X^{3N} \right). </math> | : <math> H = \sum_{i=1}^{3N} \frac{p_i^2}{2m} + U \left( X^{3N} \right). </math> | ||
Line 28: | Line 28: | ||
</math> | </math> | ||
See Ref 1 for an | See Ref 1 for an application of Monte Carlo simulation using this ensemble. | ||
== References == | == References == |
Revision as of 16:53, 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)
Let be the total energy of the system.
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.