Calculating number of microstates to find entropy

In summary, the Boltzmann entropy formula calculates the number of microstates according to Maxwell-Boltzmann statistics, using the formula W = n!/Πki!, Σki = n. Other methods such as Bose-Einstein or Fermi-Dirac statistics cannot be used for this calculation. However, the formula can be used to calculate the number of ways that a virtual collection of N distinguishable systems each of n identical particles can be distributed among the combined energy levels, even for systems with indistinguishable particles in the quantum domain. This provides justification for the core formulas of statistical mechanics.
  • #1
UnderLaplacian
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In the Boltzmann entropy formula , the number of microstates is calculated according to Maxwell-Boltzmann statistics , i.e. , W = n!/Πki! , Σki = n . Why cannot we use some other method , such as Bose-Einstein or Fermi-Dirac statistics ?
 
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  • #2
I am fairly sure that the formula you cite for the number of microstates is a general combinatoric formula. What do you think would make it different if the particles were distinguishable, fermionic, or bosonic?
 
  • #3
Say , for example , we consider the problem of placing 2 balls in 2 bins . If we treat the balls as identical , we have 3 ways , if not , we have 4 ways . Please point out if I am making some mistake in my interpretation .
 
  • #4
You are correct. You cannot use the formula $$W = \frac{n!}{k_{1}! ... k_{r}!}$$ to calculate the number of possible states that a system of n identical particles can be distributed among r different energy levels. However, if you change your interpretation, you can use this formula to calculate the number of ways that a virtual collection of N distinguishable systems each of n identical particles can be distributed among the combined energy levels (possible energy levels of the imaginary collection). Then, the Boltzmann entropy formula applies even to systems in which the individual particles are indistinguishable. This is how the core formulas of statistical mechanics are justified in the quantum domain. Does that answer the question?
 
  • #5
Twigg said:
However, if you change your interpretation, you can use this formula to calculate the number of ways that a virtual collection of N distinguishable systems each of n identical particles can be distributed among the combined energy levels (possible energy levels of the imaginary collection).
Could you please explain your above statement in some more detail ? I did not really get what you meant .
 

FAQ: Calculating number of microstates to find entropy

1. What is the formula for calculating the number of microstates?

The formula for calculating the number of microstates is given by W = N!, where N is the number of particles in the system. This formula assumes that all particles are distinguishable and that there are no restrictions on their movements.

2. How is the number of microstates related to entropy?

The number of microstates is directly proportional to entropy. This means that as the number of microstates increases, so does the entropy of the system. Entropy is a measure of the disorder or randomness of a system, and a larger number of microstates indicates a higher level of disorder.

3. Can the number of microstates ever be negative?

No, the number of microstates cannot be negative. It is a count of the possible arrangements of particles in a system, and it is not possible to have a negative number of arrangements.

4. How can the number of microstates be calculated for a real-world system?

In real-world systems, particles are not always distinguishable and there may be restrictions on their movements. In these cases, the formula for calculating the number of microstates becomes more complex and may involve using statistical methods such as combinatorics or the Boltzmann principle.

5. Is the number of microstates the only factor that determines entropy?

No, the number of microstates is not the only factor that determines entropy. Other factors such as temperature, pressure, and energy also play a role in determining the entropy of a system. Additionally, the size and complexity of a system can also affect its entropy.

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