Boltzmann distribution derivation.

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SUMMARY

The discussion focuses on the derivation of the Boltzmann distribution, particularly addressing the transition from discrete to continuous variables in statistical mechanics. Participants highlight the importance of large particle numbers, which allows the use of Stirling's approximation for simplifying calculations. The conversation emphasizes that while individual states (n1, n2, etc.) are discrete, the large quantity of particles enables the application of derivatives in this context. This transition is crucial for understanding the behavior of systems at thermodynamic limits.

PREREQUISITES
  • Understanding of Boltzmann distribution principles
  • Familiarity with Stirling's approximation
  • Basic knowledge of statistical mechanics
  • Concept of partial derivatives in calculus
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  • Study the derivation of the Boltzmann distribution in detail
  • Learn about Stirling's approximation and its applications in statistical mechanics
  • Explore the concept of large numbers in thermodynamic systems
  • Investigate the implications of transitioning from discrete to continuous variables in physics
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Students and professionals in physics, particularly those specializing in statistical mechanics, thermodynamics, and anyone interested in the mathematical foundations of the Boltzmann distribution.

kidsasd987
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please check the video at 5:33.

how can we find the partial derivative w.r.t n1 n2 and on? isn't each state (n1, n2 and on) one discrete state not a continuous variable? is it because we can have multiple particles in the given energy state?

However its a finite discrete number. as far as I know, derivative is defined on continuous(complete) functions.
 
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kidsasd987 said:
However its a finite discrete number. as far as I know, derivative is defined on continuous(complete) functions
Correct. But between 5:16 and 5:20 the transition from discrete to continuous is being made. The reason this can be done is that n is always large (and Stirling's formula is a good approximation)
 

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