Concentration of measure for Brownian particle systems interacting through their ranks

Soumik Pal, Mykhaylo Shkolnikov

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


We consider a finite or countable collection of one-dimensional Brownian particles whose dynamics at any point in time is determined by their rank in the entire particle system. Using transportation cost inequalities for stochastic processes we provide uniform fluctuation bounds for the ordered particles, their local time of collisions and various associated statistics over intervals of time. For example, such processes, when exponentiated and rescaled, exhibit power law decay under stationarity; we derive concentration bounds for the empirical estimates of the index of the power law over large intervals of time. A key ingredient in our proofs is a novel upper bound on the Lipschitz constant of the Skorokhod map that transforms a multidimensional Brownian path to a path which is constrained not to leave the positive orthant.

Original languageEnglish (US)
Pages (from-to)1482-1508
Number of pages27
JournalAnnals of Applied Probability
Issue number4
StatePublished - Aug 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


  • Atlas model
  • Brownian particle systems
  • Concentration of measure
  • Skorokhod maps
  • Stochastic portfolio theory
  • Transportation cost inequalities


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