A limit theorem for the survival probability of a simple random walk among power-law renewal traps
hal.structure.identifier | CEntre de REcherches en MAthématiques de la DEcision [CEREMADE] | |
dc.contributor.author | Poisat, Julien
HAL ID: 6620 | |
hal.structure.identifier | CEntre de REcherches en MAthématiques de la DEcision [CEREMADE] | |
dc.contributor.author | Simenhaus, François | |
dc.date.accessioned | 2019-02-25T12:48:24Z | |
dc.date.available | 2019-02-25T12:48:24Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://basepub.dauphine.fr/handle/123456789/18486 | |
dc.language.iso | en | en |
dc.subject | Random walks in random traps | en |
dc.subject | polymers in random environments | en |
dc.subject | parabolicAnderson model | en |
dc.subject | survival probability | en |
dc.subject | FKG inequalities | en |
dc.subject | Ray-Knight theorems | en |
dc.subject.ddc | 519 | en |
dc.title | A limit theorem for the survival probability of a simple random walk among power-law renewal traps | en |
dc.type | Document de travail / Working paper | |
dc.description.abstracten | We consider a one-dimensional simple random walk surviving among a field of static soft traps : each time it meets a trap the walk is killed with probability 1−e −β , where β is a positive and fixed parameter. The positions of the traps are sampled independently from the walk and according to a renewal process. The increments between consecutive traps, or gaps, are assumed to have a power-law decaying tail with exponent γ > 0. We prove convergence in law for the properly rescaled logarithm of the quenched survival probability as time goes to infinity. The normalization exponent is γ/(γ + 2), while the limiting law writes as a variational formula with both universal and non-universal features. The latter involves (i) a Poisson point process that emerges as the universal scaling limit of the properly rescaled gaps and (ii) a function of the parameter β that we call asymptotic cost of crossing per trap and that may, in principle, depend on the details of the gap distribution. Our proof suggests a confinement strategy of the walk in a single large gap. This model may also be seen as a (1 + 1)-directed polymer among many repulsive interfaces, in which case β corresponds to the strength of repulsion, the survival probability to the partition function and its logarithm to the finite-volume free energy. Along the way we prove a stochastic monotonicity property for the hitting time of the killed random walk with respect to the non-killed one, that could be of interest in other contexts, see Proposition 3.5. | en |
dc.identifier.citationpages | 36 | en |
dc.relation.ispartofseriestitle | Cahier de recherche CEREMADE, Université Paris-Dauphine | en |
dc.identifier.urlsite | https://hal.archives-ouvertes.fr/hal-01878052 | en |
dc.subject.ddclabel | Probabilités et mathématiques appliquées | en |
dc.identifier.citationdate | 2018-09 | |
dc.description.ssrncandidate | non | en |
dc.description.halcandidate | non | en |
dc.description.readership | recherche | en |
dc.description.audience | International | en |
dc.date.updated | 2019-02-25T12:40:13Z | |
hal.author.function | aut | |
hal.author.function | aut |