thaiqi
- 162
- 9
Hello, using computation simulation, can the statistical behavior of many particles be derived through deterministic classical mechanics?
The discussion revolves around the possibility of deriving the statistical behavior of many particles through deterministic classical mechanics, particularly in the context of computational simulations. Participants explore theoretical implications, practical challenges, and the definition of entropy within such simulations.
Participants express a mix of agreement on the theoretical possibility of using classical mechanics for statistical behavior, but practical challenges and definitions remain contested. There is no consensus on how to define entropy or the applicability of dynamical systems to atomic behavior.
Limitations include the dependence on computational resources, the need for careful consideration of indistinguishability in simulations, and unresolved definitions of entropy in the context of deterministic simulations.
Nugatory said:In principle, yes.
I’m thinking the same way as always: number of microstates corresponding to a given macrostate. The simulation of course takes the system to a particular microstate, but we can still consider how many other microstates would produce the same macrostate.Stephen Tashi said:How would we define Entropy in a deterministic simulation?
Can dynamical system be used to describe the behavior of the electron in the atom?Nugatory said:In principle, yes. In practice... how long are you willing to wait on the computation?
Consider Boyle's law, which might be the most tractable case. Google will give you reasonable estimates for the velocity and mean free path of a particle; these will give you order-of-magnitude values for the time and space granularity you’ll need. Figure something ##10^{22}## particles in your simulation. How many floating point operations do you need to simulate one second? Divide that by what your hardware is capable of to know how long the simulation will take.
Don't want to go off-topic, but you have to assume indistinguishability is not relevant to the problem you are simulating otherwise you could run into problems (like Gibbs' paradox). That's really an extreme case and is more of a question whether classical mechanics could be applied.Nugatory said:I’m thinking the same way as always: number of microstates corresponding to a given macrostate. The simulation of course takes the system to a particular microstate, but we can still consider how many other microstates would produce the same macrostate.
You mean in a classical molecular-dynamics simulation? That's very difficult. One way is to consider some subsystem (e.g., considering only particles in a certain partial volume) and calculating the corresponding averages on the one-particle distribution.Stephen Tashi said:How would we define Entropy in a deterministic simulation?
So you quote one of your own threads that was locked due to your unwillingness to supply more infothaiqi said: