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(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 .

Short Answer

Expert verified

The required values are given below.

P=1Cn+N1PMB=N!nNN1!N2!Nn!PFD=1C(n,N)

Step by step solution

01

Given Information

Distribution of identical balls into boxes.

02

 Step 2: 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). 

There are N balls that need to be put in n boxes.

It can be done in Cn+N1ways.

Hence the probability is mentioned below.

P=1Cn+N1

Step 3: Prove part(b).

The probability that first ball hasN1 cards and second ball hasN2cardsand so on is.

N!N1!N2!Nn!

The Maxwell Boltzmann equation becomes as follows.

PMB=1n1nNN!N1!N2!Nn!=N!nNN1!N2!Nn!

The Fermi-dericequation becomes as follows.

PFD=(1n1n11nN+1NN!N1!N2!Nn!=N!nNN1!N2!Nn!=1C(n,N)

Hence, the required valuesare given below.

P=1Cn+N1PMB=N!nNN1!N2!Nn!PFD=1C(n,N)

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