2004
DOI: 10.1007/s00440-003-0306-y
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Hitting time of a half-line by two-dimensional random walk

Abstract: We consider the probability that a two-dimensional random walk starting from the origin never returns to the half-line {(x 1 , x 2 )|x 1 ≤ 0, x 2 = 0} before time n. It is proved that for aperiodic random walk with mean zero and finite 2 + δ(> 2)-th absolute moment, this probability times n 1/4 converges to some positive constant c * as n → ∞. We show that c * is expressed by using the characteristic function of the increment of the random walk. For the simple random walk, this expression gives c * = 1 + √ 2/(… Show more

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Cited by 6 publications
(15 citation statements)
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References 7 publications
(16 reference statements)
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“…In [2], we deduce the asymptotic behavior of P 0 {T λ < τ V − } as λ ↑ 1 from that of P 0 {T λ < τ V − } × P 0 {T λ < τ V + } and P 0 {T λ < τ V − }/P 0 {T λ < τ V + }. The method to control P 0 {T λ < τ V − } follows from [2].…”
Section: S(n) = X + X(1) + · · · + X(n)mentioning
confidence: 96%
See 4 more Smart Citations
“…In [2], we deduce the asymptotic behavior of P 0 {T λ < τ V − } as λ ↑ 1 from that of P 0 {T λ < τ V − } × P 0 {T λ < τ V + } and P 0 {T λ < τ V − }/P 0 {T λ < τ V + }. The method to control P 0 {T λ < τ V − } follows from [2].…”
Section: S(n) = X + X(1) + · · · + X(n)mentioning
confidence: 96%
“…(2) When S is aperiodic with E[X] = 0 and E[|X| δ ] < ∞ for some δ > 0, it is proved that n 1/4 P 0 {τ V − > n} converges to some positive constant as n → ∞ (see [2]). Although Theorem 1.1 provides a weaker result for this model than that in [2], it has the advantage that it can be applied to a large class of random walks.…”
Section: S(n) = X + X(1) + · · · + X(n)mentioning
confidence: 99%
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