Calculate the entropy of this system in equilibrium

In summary, a problem involving a rigid vessel divided into two compartments with different gases at equal pressures is discussed. When the partition is removed and no heat exchange occurs, the gases mix and entropy increases. The calculation of entropy for the system and universe can be found in the textbook, with this being a commonly used example to test students' understanding of the concept.
  • #1
microcist
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i need help. on this problem.
A rigid vessel is divided by a partition into two compartments. One side contains 5 moles of O2 at 1 atm and the other contains 10 moles of N2 at 1 atm. The partition is then removed and no heat passes to or from the surroundings. describe what happens and calculate the entropy for the system and the universe
 
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  • #2
This is covered in detail in your textbook; it is probably the most understood application of entropy by thermo text authors (translation --- authors beat this process to death, graphically, and with equations), and you have seen everything you need for the problem if you've read the chapter preceeding the problem set containing this problem --- it's a "gimme" used to identify students who read assigned materials.
 
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  • #3


In this problem, the entropy of the system can be calculated using the formula S = k ln W, where k is the Boltzmann constant and W is the number of microstates available to the system. In this case, the system is in equilibrium and all the particles are evenly distributed between the two compartments, so there is only one possible microstate for the system.

Since the number of particles in each compartment remains the same before and after the partition is removed, the number of microstates for the system remains constant. Therefore, the entropy of the system does not change and remains at a constant value.

As for the universe, the entropy increases as the particles in each compartment mix and become more randomly distributed. This increase in entropy is due to the particles having more possible arrangements in the larger combined volume compared to being confined to separate compartments.

To calculate the entropy of the universe, we can use the formula S = Ssys + Ssurr, where Ssys is the entropy of the system and Ssurr is the entropy of the surroundings. Since there is no heat transfer between the system and the surroundings, Ssurr remains constant and does not contribute to the change in entropy. Therefore, the entropy of the universe is equal to the entropy of the system, which is constant.

In conclusion, when the partition is removed, the particles in each compartment mix and the entropy of the system remains constant while the entropy of the universe increases. This is because the system is in equilibrium and there is no change in the number of microstates available to the system, but there is an increase in the number of microstates available to the universe as a whole.
 

1. What is entropy in a scientific context?

Entropy is a measure of the disorder or randomness in a system. In thermodynamics, it is often referred to as the amount of energy that is unavailable to do work.

2. How is entropy calculated in a system?

The entropy of a system in equilibrium can be calculated using the equation S = kB ln(W), where S is the entropy, kB is the Boltzmann constant, and W is the number of microstates available to the system.

3. What does it mean for a system to be in equilibrium?

A system is considered to be in equilibrium when there is no net change or flow of energy or matter within the system. This means that all forces within the system are balanced.

4. Can entropy be negative?

In thermodynamics, the entropy of a closed system can never decrease, so it cannot be negative. However, in some other fields of science, such as information theory, entropy can have negative values.

5. How does entropy relate to the second law of thermodynamics?

The second law of thermodynamics states that the total entropy of a closed system can never decrease over time, meaning that the disorder or randomness in the system will always tend to increase. This is why entropy is often referred to as a measure of the "disorder" in a system.

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