(a) Following the methods of Examples 3,4,5, show that the number of equally likely ways of putting N particles in n boxes,n>N, nNisfor Maxwell Boltzmann particles, C(n,N)for Fermi-Dirac particles, C(n1+N,N)andfor Bose-Einstein particles.

(b) Show that if n is much larger than N (think, for example, ofn=106,N=10), then both the Bose-Einstein and the Fermi-Dirac results in part (a) contain products of N numbers, each number approximately equal to n. Thus show that for n N, both the BE and the FD results are approximately equal tonNN!which is1N!times the MB result.

Short Answer

Expert verified

The required values of part (a) are given below.

M=nNM=C(n,N)M=C(n1+N,N)

Part (b) has been proven.

Step by step solution

01

Given Information

The N particles are n boxes.

02

Definition of uniform sample spaces.

If a given experiment's sample space is known to be uniform, the probability of an event can be calculated using the event sizes and the sample space.

03

Find the values of part(a).

Use the Maxwell Boltzmann method.

Use n boxes to N particle.

M=n×n×n×n..×n=nN

Use the Fermi-dirac method. In this method,no more than one ball can be placed in one box and there are N branches among n branches.

M1=n(n1)(n2)..3.2.1=n!M2=C(n,N)

The total number is given below.

M3=M1M2=n!C(n,N)

Hence M=C(n,N),

Use the Bose Einstein method. In this method, particles are not distinguishable but allow to put 2 balls in the same box. Choose nparticles among n+N1the equation becomes as follows.

M3=C(n1+N,N)

Step 3: Prove part(b).

For n>>Nequation becomes as follows.

M2=C(n,N)=n!(nN)!N!

Formula states that n!(nN)!=n(n1)(n2)(nN+1)

The equation becomes as follows.

M2=n(n1)(n2)(nN+1)N!n(n)(n)(n)N!nNN!

The approximate number of outcomes are given below.

C(n1+N,N)=(n1+N)!N!(n1)!

Formula states that C(n,N)=(1)nC(n+N1,N

Take mod of above equation. The equation becomes as follows.

C(n+N1,N)=n(n+1)(n+2)N!n*n*n*nN!nNN!

Hence, the required values of part (a) are given below.

M=nNM=C(n,N)M=C(n1+N,N)

Part (b) has been proven.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

(a) A loaded die has probabilities121,221,321,421,521,621of showing 1, 2, 3, 4, 5, 6.What is the probability of throwing two 3’s in succession?

(b) What is the probability of throwing a 4 the first time and not a 4 the second

Time with a die loaded as in (a)?

(c) If two dice loaded as in (a) are thrown, and we know that the sum of the

numbers on the faces is greater than or equal to 10, what is the probability

That both are 5s?

(d) How many times must we throw a die loaded as in (a) to have probability greater than 12of getting an ace?

(e) Adie, loaded as in (a), is thrown twice. What is the probability that thenumber on the die is even the first timethe second time?

Assuming a normal distribution, find the limitsμ±hfor a 90%confidence interval; for a 95%confidence interval; for a 99%confidence interval. What percent confidence interval isμ±1.3σ?Hints: See Section8, Example3, and Problems,8.7,8.22 and8.23.

By expandingw(x,y,z) in a three-variable power series similarto ,(10.10)show that

rw=(wx)2rx2+(wy)2ry2+(wz)2rz2

(a) Suppose you have two quarters and a dime in your left pocket and two dimes and three quarters in your right pocket. You select a pocket at random and from it a coin at random. What is the probability that it is a dime? (b) Let x be the amount of money you select. Find E(x).

(c) Suppose you selected a dime in (a). What is the probability that it came from your right pocket?

(d) Suppose you do not replace the dime, but select another coin which is also a dime. What is the probability that this second coin came from your right pocket?

(a) In Example, 5a mathematical model is discussed which claims to give a distribution of identical balls into boxes in such a way that all distinguishable arrangements are equally probable (Bose-Einstein statistics). Prove this by showing that the probability of a distribution of N balls into n boxes (according to this model) with N1 balls in the first box, N2in the second, ··· , Nn in thenth , is1C(n1+N,N) for any set of numbers Ni such thatNii=1nNi=N.

b) Show that the model in (a) leads to Maxwell-Boltzmann statistics if the drawn card is replaced (but no extra card added) and to Fermi-Dirac statistics if the drawn card is not replaced. Hint: Calculate in each case the number of possible arrangements of the balls in the boxes. First do the problem of 4particles in 6boxes as in the example, and then do N particles in n boxes (n>N ) to get the results in Problem19 .

See all solutions

Recommended explanations on Physics Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free