Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
99 tokens/sec
Gemini 2.5 Pro Premium
56 tokens/sec
GPT-5 Medium
26 tokens/sec
GPT-5 High Premium
20 tokens/sec
GPT-4o
106 tokens/sec
DeepSeek R1 via Azure Premium
99 tokens/sec
GPT OSS 120B via Groq Premium
507 tokens/sec
Kimi K2 via Groq Premium
213 tokens/sec
2000 character limit reached

Permutation invariance in last-passage percolation and the distribution of the Busemann process (2506.12641v1)

Published 14 Jun 2025 in math.PR

Abstract: In i.i.d. exponential last-passage percolation, we describe the joint distribution of Busemann functions, over all edges and over all directions, in terms of a joint last-passage problem in a finite inhomogeneous environment. More specifically, the Busemann increments within a $k\times\ell$ grid, and associated to $d$ different directions, are equal in distribution to a particular collection of last-passage increments inside a $(k+d-1)\times(\ell+d-1)$ grid. The joint Busemann distribution was previously described along a horizontal line by Fan and the fourth author, using certain queuing maps. By contrast, our new description explicitly gives the joint distribution for any collection of edges (not just along a horizontal line) using only finitely many random variables. Our result thus provides an exact and accessible way to sample from the joint distribution. In the proof, we rely on one-directional marginal distributions of the inhomogeneous Busemann functions recently studied by Janjigian and the second and fourth authors. Another innovation of our argument is a joint invariance of inhomogeneous last-passage times under permutation of the inhomogeneity parameters. This result does not appear to be contained among the last-passage invariances recently described by Dauvergne. Our proof of invariance is also rather different, using the Burke property instead of the RSK correspondence, and leading to an explicit coupling of the weights before and after the permutation of the parameters.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.