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A directed network connecting a set A to a set B is a digraph containing an a-b path for each a in A and b in B. Vertices in the directed network not in A or B are called Steiner points. We show that in a finitely compact metric space in…

Metric Geometry · Mathematics 2008-10-10 Konrad J Swanepoel

We show that the directed landscape is the unique coupling of the KPZ fixed point from all initial conditions satisfying three natural properties: independent increments, monotonicity, and shift commutativity. Equivalently, we show that the…

Probability · Mathematics 2025-08-12 Duncan Dauvergne , Lingfu Zhang

We show that the directed landscape is a black noise in the sense of Tsirelson and Vershik. As a corollary, we show that for any microscopic system in which the height profile converges in law to the directed landscape, the driving noise is…

Probability · Mathematics 2025-04-08 Zoe Himwich , Shalin Parekh

When the value $L$ of the directed landscape at a point $(\mathbf{p};\mathbf{q})$ is sufficiently large, the geodesic from $\mathbf{p}$ to $\mathbf{q}$ is rigid and its location fluctuates of order $L^{-1/4}$ around its expectation. We…

Probability · Mathematics 2022-07-13 Zhipeng Liu

A basic question about the directed landscape is how much of it can be reconstructed simply by knowing the shapes of its geodesics. We prove that the directed landscape can be reconstructed from the shapes of its semi-infinite geodesics. In…

Probability · Mathematics 2025-08-05 Mustazee Rahman , Balint Virag

We construct an almost sure bijection that recovers the directed landscape on the half-plane from a sequence of independent Brownian motions. This map is the natural scaling limit of the Robinson--Schensted--Knuth (RSK) correspondence. The…

Probability · Mathematics 2026-05-18 Duncan Dauvergne , Bálint Virág

We study maximal length collections of disjoint paths, or 'disjoint optimizers', in the directed landscape. We show that disjoint optimizers always exist, and that their lengths can be used to construct an extended directed landscape. The…

Probability · Mathematics 2022-06-16 Duncan Dauvergne , Lingfu Zhang

We study crossing numbers of dense graph drawings whose vertices are uniformly distributed either on the unit sphere or in a compact convex planar domain. We prove a sharp inequality for weighted geodesic drawings on $\mathbb S^2$ in a…

Combinatorics · Mathematics 2026-05-19 Saba Lepsveridze , Oriol Solé-Pi

In recent decades, much attention has been focused on the topic of optimal paths in weighted networks due to its broad scientific interest and technological applications. In this work we revisit the problem of the optimal path between two…

Statistical Mechanics · Physics 2024-01-19 Daniel Villarrubia-Moreno , Pedro Córdoba-Torres

We investigate first-passage percolation on the lattice $\Z^d$ for dimensions $d \geq 2$. Each edge $e$ of the graph is assigned an independent copy of a non-negative random variable $\tau$. We only assume $\P[\tau=0]0$ is explicit) for the…

Probability · Mathematics 2024-07-26 Olivier Durieu , Jean-Baptiste Gouéré , Antonin Jacquet

The study of transversal fluctuations of the optimal path is a crucial aspect of the Kardar-Parisi-Zhang (KPZ) universality class. In this work, we establish the large deviation limit for the midpoint transversal fluctuations in a general…

Probability · Mathematics 2025-02-04 Tom Alberts , Riddhipratim Basu , Sean Groathouse , Xiao Shen

The Sharpened Distance Conjecture and Tower Scalar Weak Gravity Conjecture are closely related but distinct conjectures, neither one implying the other. Motivated by examples, I propose that both are consequences of two new conjectures: 1.…

High Energy Physics - Theory · Physics 2023-08-04 Muldrow Etheredge

The term 'KPZ' stands for the initials of three physicists, namely Kardar, Parisi and Zhang, which, in 1986 conjectured the existence of universal scaling behaviours for many random growth processes in the plane. A process is said to belong…

Probability · Mathematics 2024-10-11 Pantelis Tassopoulos

The detour between two points u and v (on edges or vertices) of an embedded planar graph whose edges are curves is the ratio between the shortest path in in the graph between u and v and their Euclidean distance. The maximum detour over all…

Metric Geometry · Mathematics 2008-01-08 Adrian Dumitrescu , Annette Ebbers-Baumann , Ansgar Grüne , Rolf Klein , Günter Rote

We study the path of light rays passing near a massive object, in the context of the scale invariant equation of the geodesics first obtained by Dirac (1973). Using the exterior Schwarzschild solution for the metric, we derive the complete…

Astrophysics of Galaxies · Physics 2024-07-25 Andre Maeder , Frederic Courbin

In first-passage percolation, we place i.i.d. continuous weights at the edges of Z^2 and consider the weighted graph metric. A distance-minimizing path between points x and y is called a geodesic, and a bigeodesic is a doubly-infinite path…

Probability · Mathematics 2016-10-12 Michael Damron , Jack Hanson

We define the log-gamma sheet and the log-gamma landscape in terms of the 2-parameter and 4-parameter free energy of the log-gamma polymer model and prove that they converge to the Airy sheet and the directed landscape, which are central…

Probability · Mathematics 2025-10-24 Xinyi Zhang

Let $V$ be a separable Hilbert space, possibly infinite dimensional. Let $\St(p,V)$ be the Stiefel manifold of orthonormal frames of $p$ vectors in $V$, and let $\Gr(p,V)$ be the Grassmann manifold of $p$ dimensional subspaces of $V$. We…

Differential Geometry · Mathematics 2018-09-28 Philipp Harms , Andrea C. G. Mennucci

In first-passage percolation, one places nonnegative i.i.d. random variables (T(e)) on the edges of Z^d. A geodesic is an optimal path for the passage times T(e). Consider a local property of the time environment. We call it a pattern. We…

Probability · Mathematics 2023-10-09 Antonin Jacquet

We introduce an ensemble of spatial networks built from the junctions of hindered-rotation chains, incorporating directional correlations between bonds, an aspect ignored in the standard network modeling paradigm. The emergent random…

Disordered Systems and Neural Networks · Physics 2025-12-05 Ulysse Marquis