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PreprintCC BY 4.0arXiv

A functional central limit theorem for the KPZ equation with narrow wedge initial data

Abstract

In this article, we consider the Kardar-Parisi-Zhang (KPZ) equation with narrow wedge initial data. We prove a functional central limit theorem for the spatial average of the solution, which solves an open problem from Gu and Pu (2025). Our main tool is Clark-Ocone formula from Malliavin calculus, combined with an in-depth analysis of the increments of the solution. The main step is a moment bound for time increments of the normalized spatial integral. For this, we introduce a new technique, called a ``common-ray'' change of variables. Using the fact that Malliavin derivative of the solution satisfies a Chapman-Kolmogorov relation, we reduce the kernel differences at two times to spatial increments at one common time.

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BibTeX
@misc{balan2026functional,
  title = {{A functional central limit theorem for the KPZ equation with narrow wedge initial data}},
  author = {Raluca M. Balan and Le Chen and Jinxin Wang},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.27219},
  eprint = {2610.27219},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.27219},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - A functional central limit theorem for the KPZ equation with narrow wedge initial data
AU  - Raluca M. Balan
AU  - Le Chen
AU  - Jinxin Wang
PY  - 2026
DA  - 2026/10/19
PB  - arXiv
DO  - 10.48550/arxiv.2610.27219
UR  - https://arxiv.org/abs/2610.27219
AB  - In this article, we consider the Kardar-Parisi-Zhang (KPZ) equation with narrow wedge initial data. We prove a functional central limit theorem for the spatial average of the solution, which solves an open problem from Gu and Pu (2025). Our main tool is Clark-Ocone formula from Malliavin calculus, combined with an in-depth analysis of the increments of the solution. The main step is a moment bound for time increments of the normalized spatial integral. For this, we introduce a new technique, called a ``common-ray'' change of variables. Using the fact that Malliavin derivative of the solution satisfies a Chapman-Kolmogorov relation, we reduce the kernel differences at two times to spatial increments at one common time.
ER  -