English

Complete corrected diffusion approximations for the maximum of a random walk

Probability 2007-05-23 v1

Abstract

Consider a random walk (Sn:n0)(S_n:n\geq0) with drift μ-\mu and S0=0S_0=0. Assuming that the increments have exponential moments, negative mean, and are strongly nonlattice, we provide a complete asymptotic expansion (in powers of μ>0\mu>0) that corrects the diffusion approximation of the all time maximum M=maxn0SnM=\max_{n\geq0}S_n. Our results extend both the first-order correction of Siegmund [Adv. in Appl. Probab. 11 (1979) 701--719] and the full asymptotic expansion provided in the Gaussian case by Chang and Peres [Ann. Probab. 25 (1997) 787--802]. We also show that the Cram\'{e}r--Lundberg constant (as a function of μ\mu) admits an analytic extension throughout a neighborhood of the origin in the complex plane C\mathbb{C}. Finally, when the increments of the random walk have nonnegative mean μ\mu, we show that the Laplace transform, Eμexp(bR())E_{\mu}\exp(-bR(\infty)), of the limiting overshoot, R()R(\infty), can be analytically extended throughout a disc centered at the origin in C×C\mathbb{C\times C} (jointly for both bb and μ\mu). In addition, when the distribution of the increments is continuous and appropriately symmetric, we show that EμSτE_{\mu}S_{\tau} [where τ\tau is the first (strict) ascending ladder epoch] can be analytically extended to a disc centered at the origin in C\mathbb{C}, generalizing the main result in [Ann. Probab. 25 (1997) 787--802] and extending a related result of Chang [Ann. Appl. Probab. 2 (1992) 714--738].

Keywords

Cite

@article{arxiv.math/0607121,
  title  = {Complete corrected diffusion approximations for the maximum of a random walk},
  author = {Jose Blanchet and Peter Glynn},
  journal= {arXiv preprint arXiv:math/0607121},
  year   = {2007}
}

Comments

Published at http://dx.doi.org/10.1214/105051606000000042 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)