Evolution of Configurational Entropy

[BigBugBuzz]

My background is not physics. This might be simple for many of you. I wonder if the following is possible.

I wish to build a simulation, where ‘particles’ move about on the monitor according to Brownian Motion. Initially, at t = 1, particles are confined to square arrangement, but are then free to move about.

Is it possible to calculate the evolution of Configurational Entropy for a given simulation run? If so, how?

 

[schip666!]

hmm, hadda go look up the term "Configurational Entropy", so I'm probably not the best resource. It sounds like it may be an "overloaded" concept. I found this which might be of help:
http://www.foundalis.com/phy/2lot.htm

What you may want is the ratio of configurations (or states) that are "of interest" to the total possible. The "of interest" thing might be your starting square. If there is some system constraint that tends to keep it in that state then its evolution will not be "ergodic" -- it won't visit all possible states with equal probability. If its not ergodic then it could be said to have some "order". Is that what you are after?

 

[Curl]

My background is not physics. This might be simple for many of you. I wonder if the following is possible.

I wish to build a simulation, where ‘particles’ move about on the monitor according to Brownian Motion. Initially, at t = 1, particles are confined to square arrangement, but are then free to move about.

Is it possible to calculate the evolution of Configurational Entropy for a given simulation run? If so, how?

No. You cannot compute it with the classical "billiard ball" model since you run into the old problem that there are infinitely many allowed microstates in your model.
Entropy of such systems is computed using quantum mechanics, in which case your simulation fails.