Three-dimensional Gaussian fluctuations of non-commutative random surface growth with a reflecting wall
Zhengye Zhou

TL;DR
This paper analyzes the Gaussian fluctuations of a non-commutative random surface growth model with a reflecting wall, establishing determinantal correlation functions and convergence to a Gaussian free field, with connections to non-commutative random walks.
Contribution
It introduces a non-commutative random walk model that captures the surface growth and proves its height fluctuations converge to a Gaussian free field, revealing new links between surface growth and non-commutative algebra.
Findings
Correlation functions have determinantal structure along space-like paths.
Height fluctuations converge to a Gaussian free field.
The model's covariance functions are explicitly characterized.
Abstract
We consider the multi-time correlation and covariance structure of a random surface growth with a wall introduced in arXiv:0904.2607. It is shown that the correlation functions associated with the model along space-like paths have determinantal structure, which yields the convergence of height fluctuations to that of a Gaussian free field. We also construct a continuous-time non-commutative random walk on , which matches the random surface growth when restricting to the Gelfand-Tsetlin subalgebra of . As an application, we prove the convergence of moments to an explicit Gaussian free field and get the covariance functions of the associated random point process along both the space-like paths and time-like paths. In particular, it does not match the three-dimensional Gaussian field from spectra of overlapping stochastic Wishart matrices in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Random Matrices and Applications
