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On a zero-crossing probability
Authors:Colin L Mallows  Vijayan N Nair
Institution:(1) AT&T Bell Laboratories, 07974 Murray Hill, NJ, U.S.A.
Abstract:Let {X(t), 0} be a compound Poisson process so that E{exp (–sX(t))}=exp (–tPHgr(s)), where PHgr(s)=lambda(1–phiv(s)), lambda is the intensity of the Poisson process, and phiv(s) is the Laplace transform of the distribution of nonnegative jumps. Consider the zero-crossing probability theta=P{X(t)–t=0 for some t,0<t<infin}. We show that theta=PHgrprime(ohgr) where ohgr is the largest nonnegative root of the equation PHgr(s)=s. It is conjectured that this result holds more generally for any stochastic process with stationary independent increments and with sample paths that are nondecreasing step functions vanishing at 0.
Keywords:Ballot theorem  compound Poisson process
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