Stirling Approximation for a thermodynamic system

AI Thread Summary
The discussion focuses on applying the Stirling approximation to calculate the ratio of ways to distribute N particles in a thermodynamic system. Participants clarify the correct form of the Stirling approximation and address algebraic errors in the calculations. The correct ratio simplifies to a form that includes the expression (0.40.40.60.6/0.5)n, highlighting the importance of proper exponent distribution. The conversation emphasizes the need for careful algebraic manipulation to achieve the desired asymptotic form. Overall, the thread illustrates the collaborative effort to resolve misunderstandings in mathematical derivations.
Demroz
Messages
9
Reaction score
0

Homework Statement


The stirling approximation, J! = √JJ+1/2e-J, is very handy when dealing with numbers larger than about 100. consider the following ratio: the number of ways N particles can be evenly divided between two halves of a room to the number of ways they can be divided with 60% on the right and 40% on the left.

a. Show using the stirling approximation that the ratio is approximately (0.40.40.60.6/5)n

Homework Equations



N!/NR!(N - NR)!

J! = √JJ+1/2e-J

The Attempt at a Solution



So i figured out the ratio to be
(0.5n)!(0.4n)!/(0.5n)!

Then by using the stirling approximation I get

0.6n0.6n+1/20.4n0.4n+1/2 / 0.25nn+1

all of my attempts so far have given me that answer which simplifies to 24/25. can you guys point me in the right direction/show me what I'm doing wrong?
 
Physics news on Phys.org
Demroz said:
J! = √JJ+1/2e-J
No, it's ##J^Je^{-J}\sqrt{2\pi J}##. For the present problem the ##2\pi## doesn't matter since it will cancel, but the square root you have at the front is definitely wrong.
Demroz said:
So i figured out the ratio to be
(0.5n)!(0.4n)!/(0.5n)!
A typo in there?
Demroz said:
0.6n0.6n+1/20.4n0.4n+1/2 / 0.25nn+1
Not exactly sure what you mean by that since you've left out all the parentheses, but the 0.25 looks wrong. Please post your working, including all necessary parentheses.
 
Sorry about that, I screwed up a lot of things in typing it out

JJ+0.5e-J√2pi

My work

probability for a 50/50 distribution is

(N!)/((0.5N)!(0.5N)!)

probability for a 40/60 distribution

(N!)/((0.4N)!(0.6N)!)

when you divide 50/50 over 40/60 you get

((0.4N)!(0.6N)!)/((0.5N)!)2

So when I plug into the stirling approximation (I reworked it from the previous attempt)

((0.4n0.4n)(0.6n0.6n))/((2-n-1)(nn+1))

Which I was able to simplify to:

(0.40.4n0.60.6n)(2n+1)(n-n)

I have no idea where to go from here
 
Demroz said:
((0.4N)!(0.6N)!)/((0.5N)!)2
Agreed.
So when I plug into the stirling approximation (I reworked it from the previous attempt)

((0.4n0.4n)(0.6n0.6n))/((2-n-1)(nn+1))
That's not what I get. Please post all your working.
Demroz said:
I have no idea where to go from here
You can see from the question what form is required. After correcting the algebra so far, can you find a way to extract the n exponent to be outside as in the desired answer:
(0.40.40.60.6/5)n
You will find there is a constant factor that the n exponent does not apply to, but for these sorts of questions you don't have to worry about that. It's the asymptotic form that matters. E.g. 0.1n may be considered an approximation to 1000*0.1n for large n.
But btw, that answer is incorrect. It should be (0.40.40.60.6/0.5)n
 
I found what I did wrong, thank you very much for the help. It was a simple algebra mistake when distributing exponents
 
Thread 'Variable mass system : water sprayed into a moving container'
Starting with the mass considerations #m(t)# is mass of water #M_{c}# mass of container and #M(t)# mass of total system $$M(t) = M_{C} + m(t)$$ $$\Rightarrow \frac{dM(t)}{dt} = \frac{dm(t)}{dt}$$ $$P_i = Mv + u \, dm$$ $$P_f = (M + dm)(v + dv)$$ $$\Delta P = M \, dv + (v - u) \, dm$$ $$F = \frac{dP}{dt} = M \frac{dv}{dt} + (v - u) \frac{dm}{dt}$$ $$F = u \frac{dm}{dt} = \rho A u^2$$ from conservation of momentum , the cannon recoils with the same force which it applies. $$\quad \frac{dm}{dt}...
Back
Top