Directed landscape two-dimensional black-noise conjecture

From papers

A two-dimensional noise is a probability space (Ω,F,P)(\Omega,\mathcal F,\mathbb P) equipped with sub-σ\sigma-algebras associated with open rectangles in R2\mathbb R^2 and measure-preserving translations satisfying independence for disjoint rectangles, the corresponding generation property, and translation covariance. It is black when its only linear random variable is 00. For the directed landscape, let F(s,t),(x,y)\mathcal F_{(s,t),(x,y)} be generated by the random variables abdLπ\int_a^b d\mathcal L\circ\pi over sa<bts\leq a<b\leq t and continuous deterministic paths π:[a,b][x,y]\pi:[a,b]\to[x,y]. Directed landscape two-dimensional black-noise conjecture. The directed landscape is a two-dimensional black noise. If true, this would show that the directed landscape is noise-like in its space variables as well as its time variables; the source attributes the conjecture to Bálint Virág and gives no resolution.

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Primary source

Zoe Himwich and Shalin Parekh, “The directed landscape is a black noise”, arXiv:2404.16801 (2025).

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