Kamarul Haili, Hailiza A Metric Discrepancy Estimate for A Real Sequence.
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A general metrical result of discrepancy estimate related to uniform distribution is proved in this paper. It has been proven by J.W.S Cassel and P.Erdos & Koksma in  under a general hypothesis of (gn(x))1n=1 that for every " > 0, D(N, x) = O(N âˆ’1 2 (logN) 5 2+") for almost all x with respect to Lebesgue measure. This discrepancy estimate was improved by R.C. Baker  who showed that the exponent 5 2 + " can be reduced to 3 2 + " in a special case where gn(x) = anx for a sequence of integers (an)1n=1. This paper extends this result to the case where the sequence (an)1n=1 can be assumed to be real. The lighter version of this theorem is also shown in this paper. Keywords Discrepancy, uniform distribution, Lebesgue measure, almost everywhere
|Deposited By:||Assoc Prof Hazimah Abd Hamid|
|Last Modified:||01 Jun 2010 03:03|
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