# A Law of Large Numbers for Local Patterns in Schur Measures and a Schur Process

## TL;DR

This paper proves a mathematical law about patterns in random structures, showing how they converge to predictable averages.

## Contribution

The paper establishes a law of large numbers for local patterns in Schur measures and random plane partitions.

## Key findings

- Linear statistics of functions weighted by pattern appearances converge to deterministic integrals.
- Results apply to Schur measures and Okounkov-Reshetikhin random plane partitions.
- Convergence occurs under normalization and expectation with respect to limit processes.

## Abstract

The aim of this note is to prove a law of large numbers for local patterns in discrete point processes. We investigate two different situations: a class of point processes on the one-dimensional lattice including certain Schur measures, and a model of random plane partitions, introduced by Okounkov and Reshetikhin. The results state in both cases that the linear statistic of a function, weighted by the appearance of a fixed pattern in the random configuration and conveniently normalized, converges to the deterministic integral of that function weighted by the expectation with respect to the limit process of the appearance of the pattern.