Maximum entropy principle from minimum energy principle

In summary, the proof of this relationship involves considering a reversible cycle in which the system increases its entropy while keeping its energy constant, thus showing that the entropy must be maximum at constant energy.
  • #1
Tomas Molina

Homework Statement


Formulate a proof that the energy minimum principle implies the entropy maximum principle. That is, show that if the entropy were not maximum at constant energy then the enrgy could not be minimum at constant entropy. HINT: First show that the permissible increase in entropy in the system can be exploited to extract heat from a reversible heat source (initially at the same temperature as the system) and to deposit it in a reversible work source. The reversible heat source is thereby cooled. Continue the argument.

Reference https://www.physicsforums.com/threa...he-energy-minimum-and-entropy-maximum.915479/

Homework Equations


we want to prove ds/dx = 0 and d/dx (ds/dx) < 0

The Attempt at a Solution



has something to do with cycles the argument? :c
 
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  • #2


Hello,

Thank you for your forum post. I am a scientist and I would be happy to help you formulate a proof for the energy minimum principle implying the entropy maximum principle.

First, let's define the terms used in the problem. The energy minimum principle states that at constant entropy, a system will tend towards a state of minimum energy. On the other hand, the entropy maximum principle states that at constant energy, a system will tend towards a state of maximum entropy. In other words, a system will naturally move towards a state of minimum energy and maximum entropy.

To prove that the energy minimum principle implies the entropy maximum principle, we can use the following steps:

1. Assume that the entropy is not maximum at constant energy, meaning that the system is not in a state of maximum entropy.

2. This means that there is still room for the system to increase its entropy without changing its energy.

3. Now, let's consider a reversible process in which the system increases its entropy by a small amount, while keeping its energy constant.

4. According to the energy minimum principle, the system will tend towards a state of minimum energy. Therefore, the system will try to decrease its energy in order to reach a state of minimum energy.

5. However, since the energy is constant, the system cannot decrease its energy without decreasing its entropy.

6. This creates a contradiction, as we assumed that the system is not in a state of maximum entropy, but decreasing its energy would decrease its entropy.

7. Therefore, our initial assumption that the entropy is not maximum at constant energy must be false. This means that the entropy must be maximum at constant energy.

8. This proves that the energy minimum principle implies the entropy maximum principle.

Now, let's look at the hint provided in the forum post. The hint suggests that we can exploit the permissible increase in entropy in the system to extract heat from a reversible heat source and deposit it in a reversible work source. This process would cool the reversible heat source.

Using this hint, we can continue the argument by considering a cycle in which the system increases its entropy by extracting heat from the reversible heat source and depositing it in the reversible work source, thus cooling the reversible heat source.

This cycle can be repeated indefinitely, allowing the system to continuously increase its entropy while the energy remains constant. This process is in line with the entropy maximum principle, as the system is continuously moving towards a state of maximum entropy at constant energy.

In conclusion, the
 

1. What is the maximum entropy principle from the minimum energy principle?

The maximum entropy principle, also known as the principle of maximum entropy or maxent, is a fundamental principle in statistical mechanics and information theory. It states that when there is uncertainty about a system, the most likely probability distribution is the one with the maximum entropy, or the most disordered state. This principle is closely related to the minimum energy principle, which states that a system will tend to minimize its energy or maximize its stability.

2. How does the maximum entropy principle relate to thermodynamics?

In thermodynamics, the maximum entropy principle is used to explain the behavior of systems in equilibrium. It states that in a closed system, the most probable state is the one with the maximum entropy. This means that a system will tend towards a state of maximum disorder, or maximum entropy. This principle is fundamental in understanding processes such as heat transfer, chemical reactions, and phase changes.

3. What are the applications of the maximum entropy principle?

The maximum entropy principle has a wide range of applications in various fields such as physics, biology, economics, and engineering. In physics, it is used to explain the behavior of systems in equilibrium and in information theory, it is used to model and analyze complex systems. In biology, it is used to study population dynamics and in economics, it is used to model market behavior. In engineering, the maximum entropy principle is applied in signal processing, control systems, and image reconstruction.

4. Can the maximum entropy principle be used to predict the behavior of complex systems?

Yes, the maximum entropy principle can be used to predict the behavior of complex systems. By modeling a system with maximum entropy, we can make predictions about its behavior and understand its overall tendencies. This principle has been successfully applied in various fields, such as predicting the distribution of species in ecology or predicting the behavior of financial markets in economics.

5. What are the criticisms of the maximum entropy principle?

One criticism of the maximum entropy principle is that it relies on subjective assumptions about the probability distribution of a system. This can lead to different predictions and conclusions depending on the chosen distribution. Additionally, in certain cases, the maximum entropy principle may not accurately reflect the behavior of a system, as it assumes that all possible states are equally likely. Other criticisms include its use of logarithmic functions and its inability to account for non-equilibrium processes.

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