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math.PR2026

Critical percolation on preferential attachment graphs with infinite variance

Peter Mörters, Lucas Schätze

We study the inhomogeneous random graph with preferential attachment kernel and degree distribution with power-law exponent as a representative of the class of graphs…

math.PR2025

The critical percolation window in growing random graphs

Joost Jorritsma, Pascal Maillard, Peter Mörters

We describe the critical window for percolation in the universality class of sparse growing random graphs. In our models, vertices arrive sequentially and connect independently to…

math.PR2025

Crossing probabilities in geometric inhomogeneous random graphs

Emmanuel Jacob, Céline Kerriou, Amitai Linker +1

In a geometric inhomogeneous random graph vertices are given by the points of a Poisson process and are equipped with independent weights following a heavy tailed distribution. Any…

math.PR2024

The fewest-big-jumps principle and an application to random graphs

Céline Kerriou, Peter Mörters

We prove a large deviation principle for the sum of n independent heavy-tailed random variables, which are subject to a moving cut-off boundary at location n. Conditional on the su…

math.PR2024

Robustness in the Poisson Boolean model with convex grains

Peter Gracar, Marilyn Korfhage, Peter Mörters

We study the Poisson Boolean model where the grains are random convex bodies with a rotation-invariant distribution. We say that a grain distribution is dense if the union of the g…