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The path length of random skip lists - Institut für Analysis und ...

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With a = Em>1 Q ,"- 1 .<br />

In order to get the asymptotic behaviour <strong>of</strong> [z'- ' ]H(z) for n oo we extend<br />

the contour <strong>of</strong> integration to a large rectangle and shift the left side to the line<br />

Re z = 1 + E, E > 0. <strong>The</strong>n [z" -1 ]H(z) equals the sum <strong>of</strong> residues at the additional<br />

poles included in the contour with an error term <strong>of</strong> order O(n 1+ E) (compare (3] for<br />

technical details <strong>of</strong> the estimate <strong>of</strong> the error term) . In our instance the additional<br />

poles originate from the second integral, and they are located at z = 2 (triple) resp .<br />

z = 2 + Xk, k E Z \ {0} (simple) . <strong>The</strong> computation <strong>of</strong> the residues can be performed<br />

by hand, or, more preferably, e .g . by Maple, and we find for the residue at z = 2<br />

2(Q - 1)2<br />

+ Hn2) 1<br />

n + 1 ~H,2,_i Hn<br />

1 (1 + 2<br />

2 L 2 L2 L )<br />

+ 3 + L2 - 2(a +,3) + 2L + (Q 1 I )L }'<br />

(2 .31)<br />

where L = log Q, H,,, resp . H(,,,2) are the harmonic numbers <strong>of</strong> first resp . second order,<br />

and ,0= E 1 2 .<br />

m>1<br />

(Qm- 1 )<br />

<strong>The</strong> asymptotic equivalent <strong>of</strong> (2 .31) is<br />

2 g 2<br />

2(Q - 1) 2 n12 Q n + n 2 logQ<br />

n C L 2 L l<br />

2 1 1 'Y 'Y 'Y2<br />

~2<br />

1 1 l<br />

+n (6+L2-a-~-2L L2+ 2L2+ 12L2+ 4L + 2(Q - IL) )<br />

+O (n log e n)<br />

. (2.32)<br />

I<br />

<strong>The</strong> first order poles at z = 2 + Xk, k E Z \ {0}, give a contribution <strong>of</strong> the form<br />

n 2 68 (log Q n) + 0(n), (2 .33)<br />

where 58(x) is a continuous periodic function <strong>of</strong> period 1 and mean zero . <strong>The</strong> Fourier<br />

coefficients <strong>of</strong> 68(x) can be obtained explicitly from the residues at the above . mentioned<br />

poles . <strong>The</strong>y can be used to show that the amplitude <strong>of</strong> 68(x) is very small<br />

(because <strong>of</strong> the exponential decrease <strong>of</strong> the F-function along . vertical lines) . Since<br />

from the practical .point <strong>of</strong> view 6 8 (x) has almost no influence on the variance, we<br />

omit these calculations here .<br />

Combining (2 .32), (2 .33) and Proposition 1 we get the asymptotic equivalent <strong>of</strong><br />

Var(Xn,) according to (2 .11) . <strong>The</strong> reader should take notice <strong>of</strong> the fact that the term <strong>of</strong><br />

order n2 in E(X n )2 contains the square 6 2 (logQ n) <strong>of</strong> the fluctuating term 6 1 (logQ n),<br />

where 61(x) has mean zero . <strong>The</strong>refore we have<br />

2<br />

Var(Xn,) = (Q - - 2(a +)(3) +<br />

[<br />

1)2n2 2L + 12 2L + 6L2 (Q _ 1 1)L 2L 6 1<br />

0<br />

+n 2 64(logQ n) + 0(n 1 +6 ), E > 0, (2 .34)<br />

where [ 62 ] o is the mean <strong>of</strong> 62 (x), and 64 (x) is a small periodic function <strong>of</strong> period 1<br />

and mean zero .

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