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 ==


Considering a system of <math> \left. N \right. </math> identical particles, with total energy <math> \left. H \right. </math> given by:
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>
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</math>
</math>


See Ref 1 for an example of this method
See Ref 1 for an application of Monte Carlo simulation using this ensemble.


== References ==  
== References ==  

Revision as of 17:53, 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.

References

  1. N. G. Almarza and E. Enciso "Critical behavior of ionic solids" Phys. Rev. E 64, 042501 (2001) [4 pages ]