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Concrete mathematics : a foundation for computer science

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How do you proflounce<br />

4 ?<br />

(Dunno, but 7j$<br />

calls it ?artheta’.)<br />

5.6 HYPERGEOMETRIC TRANSFORMATIONS 219<br />

Notice that when z = 1 this reduces to Vandermonde’s convolution, (5.93).<br />

Differentiation seems to be useful, if this example is any indication; we<br />

also found it helpful in Chapter 2, when summing x + 2x2 + . . . + nxn. Let’s<br />

see what happens when a general hypergeometric series is differentiated with<br />

respect to 2:<br />

al (al+l)i;. . . a,(a,+l)kzk<br />

= 2 b 1 (b,+l)“...b(b<br />

n n +l)kk!<br />

al . . . a,<br />

bl . ..b. F (5.10’3)<br />

The parameters move out and shift up.<br />

It’s also possible to use differentiation to tweak just one of the parameters<br />

while holding the rest of them fixed. For this we use the operator<br />

which acts on a function by differentiating it and then<br />

operator gives<br />

which by itself isn’t too useful. But if we multiply<br />

parameters, say al, and add 4F, we get<br />

al(al+l)‘ak...akzk<br />

= ’ by.J&,<br />

k?O n .<br />

= alF<br />

Only one parameter has been shifted.<br />

al+l, a2, . . . . a,<br />

bl, . . . . b,<br />

multiplying by z. This<br />

F by one of its upper

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