Far from equilibrium statistics

In summary, "far from equilibrium statistics" refers to the study of systems that are not in a state of thermodynamic equilibrium, and it differs from equilibrium statistics which deals with stable systems. Examples of systems that exhibit far from equilibrium statistics include biological systems and non-equilibrium phase transitions. The main principles used in this field include non-equilibrium thermodynamics, stochastic processes, and statistical mechanics. Far from equilibrium statistics has various real-world applications, including predicting the behavior of complex systems and optimizing systems in various fields.
  • #1
Ted Ali
12
1
Hello!
I would like your help to study Science graduate level books and articles, in the following subjects:
1. Far from equilibrium statistics.
2. Information theory and entropy.
3. Negentropy.
4. And Maxwell's demon.

My main goal is to be able to understand and explore the Maxwell's demon case.
Please forgive me for summing up, so many and broad subjects!
Thank you in advance,
Ted.
 
Physics news on Phys.org

1. What is the concept of "far from equilibrium" in statistical mechanics?

Far from equilibrium refers to a system that is not in a state of thermodynamic equilibrium, meaning that it is not in a state of maximum entropy. This can occur when a system is subjected to external forces or when it undergoes a rapid change in its environment.

2. How does far from equilibrium statistics differ from equilibrium statistics?

In equilibrium statistics, the system is assumed to be in a state of thermodynamic equilibrium and the properties of the system can be described by a few macroscopic variables. Far from equilibrium statistics takes into account the dynamics of the system and how it evolves over time, rather than just its equilibrium state.

3. What are some applications of far from equilibrium statistics?

Far from equilibrium statistics is used to study and understand a wide range of phenomena, including chemical reactions, biological systems, and even the behavior of financial markets. It is also important in fields such as materials science and engineering, where understanding the dynamics of non-equilibrium systems is crucial for designing new materials and processes.

4. What are some challenges in studying far from equilibrium systems?

One of the main challenges in studying far from equilibrium systems is the complexity of the systems themselves. These systems often exhibit non-linear behavior and can be difficult to model and analyze. Additionally, experimental techniques for studying these systems are still developing and can be challenging to implement.

5. How do scientists approach studying far from equilibrium systems?

Scientists use a combination of theoretical and experimental approaches to study far from equilibrium systems. Theoretical models and simulations can provide insights into the behavior of these systems, while experiments can provide validation and further understanding. Interdisciplinary collaborations between scientists from different fields are also important for tackling the challenges of studying far from equilibrium systems.

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