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Concrete mathematics : a foundation for computer science

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62 SUMS<br />

tCj,kiEF a. J, k < A <strong>for</strong> all finite subsets F s M. Hence xjEG Aj < A, <strong>for</strong> all<br />

finite subsets G C J.<br />

Finally, let A’ be any real number less than A. Our proof will be complete<br />

if we can find a finite set G C J such that xjeo Aj > A’. We know that<br />

there’s a finite set F C: M such that &j,kIeF oj,k > A’; let G be the set of j’s<br />

in this F, and let Fj = {k 1 (j, k) E F}. Then xjeG A, 3 xjEG tkcF, oj,k =<br />

t(j,k)EF aj,k > A’; QED.<br />

OK, we’re now legitimate! Everything we’ve been doing with infinite<br />

sums is justified, as long a3 there’s a finite bound on all finite sums of the<br />

absolute values of the terms. Since the doubly infinite sum (2.58) gave us<br />

two different answers when we evaluated it in two different ways, its positive s0 whY have f been<br />

hearing a lot lately<br />

terms 1 + i + 5 +. . . must diverge to 03; otherwise we would have gotten the about “harmonic<br />

same answer no matter how we grouped the terms. convergence”?<br />

Exercises<br />

Warmups<br />

1 What does the notation<br />

mean?<br />

0<br />

2 qk<br />

k=4<br />

2 Simplify the expression x . ([x > 01 - [x < 01).<br />

3 Demonstrate your understanding of t-notation by writing out the sums<br />

in full. (Watch out -the second sum is a bit tricky.)<br />

4 Express the triple sum<br />

lSi

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