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PreprintCC BY 4.0arXiv

Infinite-dimensional Dyson Brownian motion(s)

Abstract

We study infinite-dimensional Dyson Brownian motions obtained as limits of finite systems without rescaling the actual stochastic dynamics. For β=2, we construct determinantal processes on an extended space of initial data and prove convergence of their finite-dimensional distributions under essentially optimal conditions. This extends the seminal results of Katori and Tanemura. The additional parameters record information at infinity and enter through an associated Laguerre-Pólya entire function. Moreover, for explicit classes of configurations, we establish convergence on path space and the Markov property. We prove rescaled long-time convergence, in finite-dimensional distributions, to the stationary extended Sine process from arbitrary symmetric initial configurations with power-law counting exponent q∈(0,2). This extends the integer lattice relaxation result of Katori and Tanemura which was the only such result for explicit deterministic initial conditions. For β≥1, we prove convergence of finite particle systems from regular initial data to the unique strong solution of an infinite-dimensional stochastic differential equation in a certain rigid-path-regularity class. This extends seminal works of Tsai and Osada. We finally derive a stochastic partial differential equation of Burgers-type for the Stieltjes transform of the dynamics.

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BibTeX
@misc{assiotis2026infinitedimensional,
  title = {{Infinite-dimensional Dyson Brownian motion(s)}},
  author = {Theodoros Assiotis and Fengyi Li},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.26386},
  eprint = {2609.26386},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.26386},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Infinite-dimensional Dyson Brownian motion(s)
AU  - Theodoros Assiotis
AU  - Fengyi Li
PY  - 2026
DA  - 2026/09/22
PB  - arXiv
DO  - 10.48550/arxiv.2609.26386
UR  - https://arxiv.org/abs/2609.26386
AB  - We study infinite-dimensional Dyson Brownian motions obtained as limits of finite systems without rescaling the actual stochastic dynamics. For β=2, we construct determinantal processes on an extended space of initial data and prove convergence of their finite-dimensional distributions under essentially optimal conditions. This extends the seminal results of Katori and Tanemura. The additional parameters record information at infinity and enter through an associated Laguerre-Pólya entire function. Moreover, for explicit classes of configurations, we establish convergence on path space and the Markov property. We prove rescaled long-time convergence, in finite-dimensional distributions, to the stationary extended Sine process from arbitrary symmetric initial configurations with power-law counting exponent q∈(0,2). This extends the integer lattice relaxation result of Katori and Tanemura which was the only such result for explicit deterministic initial conditions. For β≥1, we prove convergence of finite particle systems from regular initial data to the unique strong solution of an infinite-dimensional stochastic differential equation in a certain rigid-path-regularity class. This extends seminal works of Tsai and Osada. We finally derive a stochastic partial differential equation of Burgers-type for the Stieltjes transform of the dynamics.
ER  -