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Rules for pgf

This type of coupling occurs quite often in probability problems and is called a convolution of two distributions (mostly abbreviated by a star product). Passing to generating functions, the rather complicated sum of products of probabilities is transformed into a simple product of the corresponding pgf-s. [Pg.36]

Actually, however, the probability of finding exactly i-units in the first generation is Nj(l), and the total distribution is therefore [Pg.36]

Note Nj (1) is the probability that the root has i- offcpring , and Nkj (2) is the probability for j- offspring of a unit in the first generation. [Pg.36]

Now multiplying Eq. (C.74) on both sides by s1 and summing over all i, we obtain after application of the convolution theorem [Pg.37]

Proceeding stepwise to higher generations, one finally obtains for the pgf of the n-th generation [Pg.37]


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