Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

(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

Do Problem 15for 2particles in 2 boxes. Using the model discussed in Example role="math" localid="1654939679672" 5, find the probability of each of the three sample points in the Bose-Einstein case. (You should find that each has probabilityrole="math" localid="1654939665414" 13, that is, they are equally probable.)

Given a family of two children (assume boys and girls equally likely, that is, probability 1/2 for each), what is the probability that both are boys? That at least one is a girl? Given that at least one is a girl, what is the probability that both are girls? Given that the first two are girls, what is the probability that an expected third child will be a boy?

Set up an appropriate sample space for each of Problems 1.1 to 1.10 and use itto solve the problem. Use either a uniform or non-uniform sample space or try both.

A shopping mall has four entrances, one on the North, one on the South, and twoon the East. If you enter at random, shop and then exit at random, what is theprobability that you enter and exit on the same side of the mall?

(a) Find the probability that in two tosses of a coin, one is heads and one tails. That in six tosses of a die, all six of the faces show up. That in12tosses of a12 -sided die, all12 faces show up. That in n tosses of an n-sided die, all n faces show up.

(b) The last problem in part (a) is equivalent to finding the probability that, when n balls are distributed at random into n boxes, each box contains exactly one ball. Show that for large n, this is approximatelyen2πn.

(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?

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