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International Journal of Scientific and Research Publications, Volume 3, Issue 2, February 2013 648<br />

ISSN 2250-3153<br />

Similarly<br />

Hence it follows from above that<br />

Hence as<br />

Hence the proof.<br />

Lemma 2.5<br />

Out side a set of measure at most the event occurs at least for values of m. i.e out side a set of measure .<br />

.<br />

Proof of the lemma<br />

occurs with positive probability. (by Lemma 2.4)<br />

Suppose<br />

Then there exist an absolute constant , such that .<br />

Let , where summation means that the summation is taken over all’s pairs.<br />

Applying Chebyshev’s inequality, we have for<br />

, there fore outside a set of measure<br />

, there fore, it follows that out side a set of measure , occurs i.e either<br />

Proof of the theorem<br />

III. MAIN RESULTS<br />

Define<br />

We have<br />

and<br />

only if<br />

which implies the occurrence of one of the events.<br />

Hence for<br />

except for a set of measure .<br />

From<br />

, it follows that<br />

After some calculation<br />

It follows that<br />

, we have<br />

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