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Autores principales: Ahlberg, Daniel, de la Riva, Daniel
Formato: Preprint
Publicado: 2023
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Acceso en línea:https://arxiv.org/abs/2308.16388
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author Ahlberg, Daniel
de la Riva, Daniel
author_facet Ahlberg, Daniel
de la Riva, Daniel
contents Assign independent weights to the edges of the square lattice, from the uniform distribution on $\{a,b\}$ for some $0<a<b<\infty$. The weighted graph induces a random metric on $\mathbb{Z}^2$. Let $T_n$ denote the distance between $(0,0)$ and $(n,0)$ in this metric. The distribution of $T_n$ has a well-defined median. Itai Benjamini asked in 2011 if the sequence of Boolean functions encoding whether $T_n$ exceeds its median is noise sensitive? In this paper we present the first progress on Benjamini's problem. More precisely, we study the minimal weight along any path crossing an $n\times n$-square horizontally and whose vertical fluctuation is smaller than $n^{1/22}$, and show that for this observable, 'being above the median' is a noise sensitive property.
format Preprint
id arxiv_https___arxiv_org_abs_2308_16388
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Is 'being above the median' a noise sensitive property?
Ahlberg, Daniel
de la Riva, Daniel
Probability
Assign independent weights to the edges of the square lattice, from the uniform distribution on $\{a,b\}$ for some $0<a<b<\infty$. The weighted graph induces a random metric on $\mathbb{Z}^2$. Let $T_n$ denote the distance between $(0,0)$ and $(n,0)$ in this metric. The distribution of $T_n$ has a well-defined median. Itai Benjamini asked in 2011 if the sequence of Boolean functions encoding whether $T_n$ exceeds its median is noise sensitive? In this paper we present the first progress on Benjamini's problem. More precisely, we study the minimal weight along any path crossing an $n\times n$-square horizontally and whose vertical fluctuation is smaller than $n^{1/22}$, and show that for this observable, 'being above the median' is a noise sensitive property.
title Is 'being above the median' a noise sensitive property?
topic Probability
url https://arxiv.org/abs/2308.16388