Ioan Manolescu
University of Geneva
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Featured researches published by Ioan Manolescu.
Annals of Probability | 2013
Geoffrey Grimmett; Ioan Manolescu
The star–triangle transformation is used to obtain an equivalence extending over the set of all (in)homogeneous bond percolation models on the square, triangular and hexagonal lattices. Among the consequences are box-crossing (RSW) inequalities for such models with parameter-values at which the transformation is valid. This is a step toward proving the universality and conformality of these processes. It implies criticality of such values, thereby providing a new proof of the critical point of inhomogeneous systems. The proofs extend to certain isoradial models to which previous methods do not apply.
Annals of Probability | 2013
Geoffrey Grimmett; Ioan Manolescu
All (in)homogeneous bond percolation models on the square, triangular, and hexagonal lattices belong to the same universality class, in the sense that they have identical critical exponents at the critical point (assuming the exponents exist). This is proved using the star–triangle transformation and the box-crossing property. The exponents in question are the one-arm exponent ρ, the 2j-alternating-arms exponents ρ2j for j≥1, the volume exponent δ, and the connectivity exponent η. By earlier results of Kesten, this implies universality also for the near-critical exponents β, γ, ν, Δ (assuming these exist) for any of these models that satisfy a certain additional hypothesis, such as the homogeneous bond percolation models on these three lattices.
Annals of Probability | 2015
Demeter Kiss; Ioan Manolescu; Vladas Sidoravicius
Self-destructive percolation with parameters p,δ is obtained by taking a site percolation configuration with parameter p, closing all sites belonging to infinite clusters, then opening every closed site with probability δ, independently of the rest. Call θ(p,δ) the probability that the origin is in an infinite cluster in the configuration thus obtained. For two-dimensional lattices, we show the existence of δ>0 such that, for any p>pc, θ(p,δ)=0. This proves the conjecture of van den Berg and Brouwer [Random Structures Algorithms 24 (2004) 480–501], who introduced the model. Our results combined with those of van den Berg and Brouwer [Random Structures Algorithms 24 (2004) 480–501] imply the nonexistence of the infinite parameter forest-fire model. The methods herein apply to site and bond percolation on any two-dimensional planar lattice with sufficient symmetry.
Annals of Probability | 2016
Hugo Duminil-Copin; Alexander Glazman; Alan Hammond; Ioan Manolescu
We prove two results on the delocalization of the endpoint of a uniform self-avoiding walk on Z^d for d>1. We show that the probability that a walk of length n ends at a point x tends to 0 as n tends to infinity, uniformly in x. Also, for any fixed x in Z^d, this probability decreases faster than n^{-1/4 + epsilon} for any epsilon >0. When |x|= 1, we thus obtain a bound on the probability that self-avoiding walk is a polygon.
Electronic Journal of Probability | 2018
Ioan Manolescu; Aran Raoufiï
We prove sharpness of the phase transition for the random-cluster model with
Probability Theory and Related Fields | 2014
Geoffrey Grimmett; Ioan Manolescu
q \geq 1
arXiv: Probability | 2014
Nicolas Curien; Thomas Duquesne; Igor Kortchemski; Ioan Manolescu
on graphs of the form
Probability Theory and Related Fields | 2016
Hugo Duminil-Copin; Ioan Manolescu
\mathcal{S} := \mathcal{G} \times S
Archive | 2012
Geoffrey Grimmett; Ioan Manolescu
, where
Electronic Journal of Probability | 2018
Hugo Duminil-Copin; Jhih-Huang Li; Ioan Manolescu
\mathcal{G}