1986
DOI: 10.1021/ed063p117
|View full text |Cite
|
Sign up to set email alerts
|

Equilibrium distribution functions: Another look

Abstract: The purpose of this study is to provide students with an alternate "derivation" of the equilibrium distribution, one which is based on discrete examples which are then, by simple mathematical induction, extrapolated to the limits of large numbers of particles.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
3
0

Year Published

2000
2000
2016
2016

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…Importantly, as we shall see for lim N→∞ (lnN! -NlnN + N) )= ∞ [10,11,15], which means that at the thermodynamic limit this form of the Stirling approximation can not be used to prove the extensivity of the Boltzmann entropy. The consequence is that the Boltzmann entropy, as shown in the following for the ideal gas and other simple systems, is in general not extensive and thus not an extensive state function irrespective on the number of particles N present.…”
Section: Introductionmentioning
confidence: 99%
“…Importantly, as we shall see for lim N→∞ (lnN! -NlnN + N) )= ∞ [10,11,15], which means that at the thermodynamic limit this form of the Stirling approximation can not be used to prove the extensivity of the Boltzmann entropy. The consequence is that the Boltzmann entropy, as shown in the following for the ideal gas and other simple systems, is in general not extensive and thus not an extensive state function irrespective on the number of particles N present.…”
Section: Introductionmentioning
confidence: 99%
“…A number of attempts have been made to derive the Boltzmann distribution law without using Lagrange's method or Stirling's approximation (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17). Some of these articles take a thermodynamic approach wherein the Helmholtz energy is minimized (5)(6)(7)(8) or the entropy is maximized (9); others (10)(11)(12)(13)(14) use discrete substitutions to eliminate constant N and constant E constraints, where N is the total number of particles and E is the total energy of a thermodynamic system; others eliminate Stirling's approximation by a series substitution (15,16). A unique approach was recently offered by Friedman and Grubbs (17) who used a geometrical argument to predict Boltzmann probabilities from hyperplanes in N-dimensional state space, a line of reasoning that also led to the binomial coefficients of Pascal's triangle.…”
mentioning
confidence: 99%
“…A number of attempts have been made to derive the Boltzmann distribution law without using Lagrange’s method or Stirling’s approximation . Some of these articles take a thermodynamic approach wherein the Helmholtz energy is minimized or the entropy is maximized ; others use discrete substitutions to eliminate constant N and constant E constraints, where N is the total number of particles and E is the total energy of a thermodynamic system; others eliminate Stirling’s approximation by a series substitution , .…”
mentioning
confidence: 99%