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On McKean's martingale in the Bovier-Hartung extremal process
Probability · Submitted 12 Dec 2017
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim In this note, we provide an alternative interpretation of McKean's martingale in terms of a law of large numbers for high-points of BBM, i.e. particles which lie at a macroscopic distance from the edge.
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The abstract, sentence by sentence
It has been proved by Bovier & Hartung [Elect. J. Probab. 19 (2014)] that the maximum of a variable-speed branching Brownian motion (BBM) in the weak correlation regime converges to a randomly shifted Gumbel distribution. The random shift is given by the almost sure limit of McKean's martingale, and captures the early evolution of the system. In the Bovier-Hartung extremal process, McKean's martingale thus plays a role which parallels that of the derivative martingale in the classical BBM. In this note, we provide an alternative interpretation of McKean's martingale in terms of a law of large numbers for high-points of BBM, i.e. particles which lie at a macroscopic distance from the edge. At such scales, 'McKean-like martingales' are naturally expected to arise in all models belonging to the BBM-universality class.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | It has been proved by Bovier & Hartung [Elect. | background 1.00 | 0.03 | 0.02 | asserted 0.69 |
| s1 | J. Probab. 19 (2014)] that the maximum of a variable-speed branching Brownian motion (BBM) in the weak correlation regime converges to a randomly shifted Gumbel distribution. | background 0.97 | 0.03 | 0.13 | asserted 1.00 |
| s2 | The random shift is given by the almost sure limit of McKean's martingale, and captures the early evolution of the system. | background 0.79 | 0.07 | 0.07 | asserted 1.00 |
| s3 | In the Bovier-Hartung extremal process, McKean's martingale thus plays a role which parallels that of the derivative martingale in the classical BBM. | background 0.77 | 0.09 | 0.08 | asserted 0.99 |
| s4 | In this note, we provide an alternative interpretation of McKean's martingale in terms of a law of large numbers for high-points of BBM, i.e. particles which lie at a macroscopic distance from the edge. | contribution 0.84 | 0.90 | 0.74 | asserted 1.00 |
| s5 | At such scales, 'McKean-like martingales' are naturally expected to arise in all models belonging to the BBM-universality class. | interpretation 0.98 | 0.19 | 0.11 | hedged possibility 0.80 |
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Original abstract
It has been proved by Bovier & Hartung [Elect. J. Probab. 19 (2014)] that the maximum of a variable-speed branching Brownian motion (BBM) in the weak correlation regime converges to a randomly shifted Gumbel distribution. The random shift is given by the almost sure limit of McKean's martingale, and captures the early evolution of the system. In the Bovier-Hartung extremal process, McKean's martingale thus plays a role which parallels that of the derivative martingale in the classical BBM. In this note, we provide an alternative interpretation of McKean's martingale in terms of a law of large numbers for high-points of BBM, i.e. particles which lie at a macroscopic distance from the edge. At such scales, 'McKean-like martingales' are naturally expected to arise in all models belonging to the BBM-universality class.
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