activity
20052026
most citedMean-field behavior for long- and finite range Ising model, percolation and self-avoiding walk

44 citations · 181 across the 27 of their papers we have counts for

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Showing 2019 · math.PRShow all

7 papers · 2 filters

math.PR2019

Fractal dimension of discrete sets and percolation

Markus Heydenreich

There are various notions of dimension in fractal geometry to characterise (random and non-random) subsets of . In this expository text, we discuss their analogues for…

math.PR2019★ 1 cited

Expansion for the critical point of site percolation: the first three terms

Markus Heydenreich, Kilian Matzke

We expand the critical point for site percolation on the -dimensional hypercubic lattice in terms of inverse powers of , and we obtain the first three terms rigorously. This…

math.PR2019★ 32 cited

Recurrence versus Transience for Weight-Dependent Random Connection Models

Peter Gracar, Markus Heydenreich, Christian Mönch +1

We investigate random graphs on the points of a Poisson process in -dimensional space, which combine scale-free degree distributions and long-range effects. Every Poisson point…

math.PR2019★ 3 cited

Critical site percolation in high dimension

Markus Heydenreich, Kilian Matzke

We use the lace expansion to prove an infra-red bound for site percolation on the hypercubic lattice in high dimension. This implies the triangle condition and allows us to derive…

math.PR2019

Lace Expansion and Mean-Field Behavior for the Random Connection Model

Markus Heydenreich, Remco van der Hofstad, Günter Last +1

We study the random connection model driven by a stationary Poisson process. In the first part of the paper, we derive a lace expansion with remainder term in the continuum and bou…

math.PR2019

A spatial small-world graph arising from activity-based reinforcement

Markus Heydenreich, Christian Hirsch

In the classical preferential attachment model, links form instantly to newly arriving nodes and do not change over time. We propose a hierarchical random graph model in a spatial…