Non Equilibrium Statistical Mechanics

AI Thread Summary
Non Equilibrium Statistical Mechanics is a topic with extensive resources available, including textbooks and articles. While many statistical mechanics techniques assume equilibrium, there are methods specifically designed for non-equilibrium systems. The foundations of statistical mechanics inherently involve non-equilibrium states to define what equilibrium means. This discussion highlights the importance of recognizing that statistical mechanics can be applied beyond equilibrium situations. Understanding these principles is crucial for advancing the field of statistical mechanics.
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A simple websearch reveals many textbooks, lecture notes and articles about Non Equilibrium Statistical Mechanics.

Comments please?
 
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Yep, you're right.
 
Thank you marcus!
 
Did you have a question?
 
It was claimed in another thread that Statistical Mechanics can only be applied to equilibrium situations.

Since that comment was a side issue to the thread I started this thread to provide a separate opportunity to discuss the claim.
 
Most stat-mech techniques assume equilibrium -- so if a system isn't in equilibrium, then those results will most likely be incorrect.

Separately there are many people who try and solve systems outside of equilibrium, since the methods they employ don't require equilibrium they can be applied to non-equilibrium systems.
 
Indeed. The foundations of statistical mechanics do not assume equilibrium, otherwise you could not even develop a theory for equilibrium. Simply formulating what equilibrium is supposed to mean requires one to consider general non-equilibrium states.
 
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