Cancellation of fluctuation in stochastic ranking process with space-time dependent intensities

Research output: Contribution to journalArticle

Abstract

We consider the stochastic ranking process with space-time dependent unbounded jump rates for the particles. We prove that the joint empirical distribution of jump rate and scaled position converges almost surely to a deterministic distribution in the infinite particle limit. We assume topology of weak convergence for the space of distributions, which implies that the fluctuations among particles with different jump rates cancel in the limit. The results are proved by first finding an auxiliary stochastic ranking process, for which a strong law of large numbers is applied, and then applying a multi time recursive Gronwall's inequality. The limit has a representation in terms of non-Markovian processes which we call point processes with last-arrival-time dependent intensities. We also prove the propagation of chaos, i.e., the tagged particle processes also converge almost surely.

Original languageEnglish
Pages (from-to)359-396
Number of pages38
JournalTohoku Mathematical Journal
Volume71
Issue number3
DOIs
Publication statusPublished - 2019 Sep

Fingerprint

Cancellation
Ranking
Jump
Space-time
Fluctuations
Dependent
Propagation of Chaos
Non-Markovian Processes
Gronwall Inequality
Tagged Particle
Converge
Strong law of large numbers
Arrival Time
Empirical Distribution
Cancel
Point Process
Weak Convergence
Joint Distribution
Topology
Imply

Keywords

  • Complete convergence
  • Gronwall inequality
  • Hydrodynamic limit
  • Last-arrival-time dependent intensity
  • Law of large numbers
  • Stochastic ranking process

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Cancellation of fluctuation in stochastic ranking process with space-time dependent intensities. / Hattori, Tetsuya.

In: Tohoku Mathematical Journal, Vol. 71, No. 3, 09.2019, p. 359-396.

Research output: Contribution to journalArticle

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