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In this short note we define a Poissonian model of directed random graphs which generalises the undirected Poissonian random graph process introduced in [Norros, I.; Reittu, H. "On a conditionally Poissonian graph process." Adv. in Appl.…

Probability · Mathematics 2017-05-11 Christian Mönch

Let $G=(V,E)$ be an undirected graph on $n$ vertices and $\lambda:E\to 2^{\mathbb{N}}$ a mapping that assigns to every edge a non-empty set of integer labels (times). Such a graph is {\em temporally connected} if a path exists with…

Discrete Mathematics · Computer Science 2021-04-29 Arnaud Casteigts , Joseph G. Peters , Jason Schoeters

We prove a conjecture by Brown, Dilcher and Manna on the asymptotic behavior of sparse binomial-type polynomials arising naturally in a graph theoretical context in connection with the expected number of independent sets of a graph.

Classical Analysis and ODEs · Mathematics 2014-02-28 Wolfgang Gawronski , Thorsten Neuschel

Initial steps in the study of inner expansion properties of infinite Cayley graphs and other infinite graphs, such as hyperbolic ones, are taken, in a flavor similar to the well-known Lipton-Tarjan square root separation result for planar…

Metric Geometry · Mathematics 2011-09-14 Itai Benjamini , Oded Schramm , Adam Timar

This paper presents a convex-analytic framework to learn sparse graphs from data. While our problem formulation is inspired by an extension of the graphical lasso using the so-called combinatorial graph Laplacian framework, a key difference…

Signal Processing · Electrical Eng. & Systems 2021-09-20 Tatsuya Koyakumaru , Masahiro Yukawa , Eduardo Pavez , Antonio Ortega

We prove explicit versions of Cram\'er's theorem for primes in arithmetic progressions, on the assumption of the generalized Riemann hypothesis.

Number Theory · Mathematics 2019-01-15 Adrian W. Dudek , Loïc Grenié , Giuseppe Molteni

We study the asymptotics for sparse exponential random graph models where the parameters may depend on the number of vertices of the graph. We obtain exact estimates for the mean and variance of the limiting probability distribution and the…

Probability · Mathematics 2017-04-19 Mei Yin , Lingjiong Zhu

Monadic stability generalizes many tameness notions from structural graph theory such as planarity, bounded degree, bounded tree-width, and nowhere density. The sparsification conjecture predicts that the (possibly dense) monadically stable…

Discrete Mathematics · Computer Science 2026-01-23 Nikolas Mählmann , Sebastian Siebertz

We study some percolation problems on the complete graph over $\mathbf N$. In particular, we give sharp sufficient conditions for the existence of (finite or infinite) cliques and paths in a random subgraph. No specific assumption on the…

Probability · Mathematics 2011-03-29 A. Berarducci , P. Majer , M. Novaga

This paper concerns the large deviations of a system of interacting particles on a random graph. There is no stochasticity, and the only sources of disorder are the random graph connections, and the initial condition. The average number of…

Probability · Mathematics 2021-03-08 James MacLaurin

This paper studies anchored expansion, a non-uniform version of the strong isoperimetric inequality. We show that every graph with i-anchored expansion contains a subgraph with isoperimetric (Cheeger) constant at least i. We prove a…

Probability · Mathematics 2011-11-10 Balint Virag

Many popular network models rely on the assumption of (vertex) exchangeability, in which the distribution of the graph is invariant to relabelings of the vertices. However, the Aldous-Hoover theorem guarantees that these graphs are dense or…

Machine Learning · Statistics 2017-02-07 Diana Cai , Trevor Campbell , Tamara Broderick

The concept of avoidable paths in graphs was introduced by Beisegel, Chudnovsky, Gurvich, Milani\v{c}, and Servatius in 2019 as a common generalization of avoidable vertices and simplicial paths. In 2020, Bonamy, Defrain, Hatzel, and…

Combinatorics · Mathematics 2025-04-18 Vladimir Gurvich , Matjaž Krnc , Martin Milanič , Mikhail Vyalyi

We consider the problem of learning a sparse undirected graph underlying a given set of multivariate data. We focus on graph Laplacian-related constraints on the sparse precision matrix that encodes conditional dependence between the random…

Machine Learning · Statistics 2021-11-17 Jitendra K. Tugnait

We consider a model for chaotic diffusion with amplification on graphs associated with piecewise-linear maps of the interval. We investigate the possibility of having power-law tails in the invariant measure by approximate solution of the…

Chaotic Dynamics · Physics 2020-06-23 Stefano Lepri

Assuming the Riemann hypothesis (RH) and the linear independence conjecture (LI), we show that the weighted count of primes in multiple short intervals follows a multivariate Gaussian distribution with weak negative correlations. As an…

Number Theory · Mathematics 2026-02-04 Sun-Kai Leung

In this note, we give short inductive proofs of two known results on $k$-extendible graphs based on a property proved in [Qinglin Yu, A note on $n$-extendable graphs. Journal of Graph Theory, 16:349-353, 1992].

Combinatorics · Mathematics 2021-10-08 Shenwei Huang , Yongtang Shi

We address the problem of prediction of multivariate data process using an underlying graph model. We develop a method that learns a sparse partial correlation graph in a tuning-free and computationally efficient manner. Specifically, the…

Machine Learning · Statistics 2018-11-19 Arun Venkitaraman , Dave Zachariah

In this note, we prove that a finite vertex-transitive graph which has a clique which intersects all maximal cliques is a complete graph. This gives a positive answer in the case of vertex-transitive graphs to a question raised by Berge and…

Combinatorics · Mathematics 2018-02-28 Etienne Fieux , Bertrand Jouve

Erd\H{o}s conjectured that every triangle-free graph $G$ on $n$ vertices contains a set of $\lfloor n/2 \rfloor$ vertices that spans at most $n^2 /50$ edges. Krivelevich proved the conjecture for graphs with minimum degree at least…

Combinatorics · Mathematics 2015-02-12 Sergey Norin , Liana Yepremyan