Convergence in Law for the Branching Random Walk Seen from Its Tip
By Thomas Madaule. 2011
116 citations recorded by the source corpus.
Consider a critical branching random walk on the real line. In a recent paper, Aïdékon (2011) developed a powerful method to obtain the convergence in law of its minimum after a log-factor translation. By an adaptation of this method, we show that the point process formed by the branching random walk seen from the minimum converges in law to a decorated Poisson point process. This result, confirming a conjecture of Brunet and Derrida (J Stat Phys 143:420–446, 2011), can be viewed as a discrete analog of the corresponding results for the branching Brownian motion, previously established by Arguin et al. (2010, 2011) and Aïdékon et al. (2011).
Subfields: Finance, Mathematical Physics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/2b61ac8c158a0fc147abc141af986798c85222d1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
In Mathematical Physics
In Molecular Biology
Citations in the corpus
- Branching random walks (2015, background): “By comparison to analoguous results for branching random walks, many deep results have been recently established for Gaussian free fields and more general logarithmically correlated Gaussian fields (Bolthausen, Deuschel and Giacomin [61], Madaule [183], Biskup and Louidor [60], Ding, Roy and Zeitoun”
- A note on stable point processes occurring in branching Brownian motion (2011, methodology): “Once the convergence of the point process is established, one now readily sees that the limiting process is exp-1-stable [8, 18]: Take two BBMs and denote their derivative martingale limits by W and W ′, respectively.”
- Branching Brownian motion seen from its tip (2011, methodology): “Finally we mention that Madaule [28] has proved the analogue of our Theorem 2.1 for non-lattice branching random walks by using the recent result in [1] on the maximum of branching random walks.”
- Maximum of a log-correlated Gaussian field (2013, background): “We expect to establish the convergence of the random measure formed by the particles near to the maximum, just like in the BRW case (see [1], [23], [11] and [19] for an explicit connection between branching random walk and this model).”
- Gaussian multiplicative chaos and applications: A review (2013, background): “onjectured to be involved in the glassy phase and freezing phenomena observed in log-correlated random potentials. The reader may consult [33,67,68] for an account of physics motivations and results, [19,23,109,138] for rigorous results in the case of discrete models and [17,57] for precise conjectu”