Abstract

We study the intersection of two independent renewal processes, ρ = τ ∩σ. Assuming that P(τ 1 = n) = ϕ(n) n −(1+α) and P(σ 1 = n) = ϕ(n) n −(1+ α) for some α, α 0 and some slowly varying ϕ, ϕ, we give the asymptotic behavior first of P(ρ 1 > n) (which is straightforward except in the case of min(α, α) = 1) and then of P(ρ 1 = n). The result may be viewed as a kind of reverse renewal theorem, as we determine probabilities P(ρ 1 = n) while knowing asymptotically the renewal mass function P(n ∈ ρ) = P(n ∈ τ)P(n ∈ σ). Our results can be used to bound coupling-related quantities, specifically the increments |P(n ∈ τ) − P(n − 1 ∈ τ)| of the renewal mass function. 1. Intersection of two independent renewals We consider two independent (discrete) renewal processes τ and σ, whose law are denoted respectively P τ and P σ , and the renewal process of intersections, ρ = τ ∩ σ. We denote P = P τ ⊗ P σ. The process ρ appears in various contexts. In pinning models, for example, it may appear directly in the definition of the model (as in [1], where σ represents sites with nonzero disorder values, and τ corresponds to the polymer being pinned) or it appears in the computation of the variance of the partition function via a replica method (see for example [20]), and is central in deciding whether disorder is relevant or irrelevant in these models, cf. [3]. When τ and σ have the same inter-arrival distribution, ρ 1 is related to the coupling time of τ and σ, if we allow τ and σ to start at different points. In particular, in the case µ := E[τ 1 ] < +∞, the coupling time ρ 1 has been used to study the rate of convergence in the renewal theorem, see [16, 17], using that

Highlights

  • The process ρ appears in various contexts

  • If σ is delayed by a random X having the waiting time distribution ν of the renewal process

  • We provide an application of Theorem 1.3

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Summary

Local asymptotics for the first intersection of two independent renewals

Local asymptotics for the first intersection of two independent renewals. Electronic Journal of Probability, Institute of Mathematical Statistics (IMS), 2016, 21 (68), ￿10.1214/16-EJP17￿. HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés

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