Article
Computer Science, Software Engineering
Gregory Miermont, Sanchayan Sen
Summary: This article presents an alternative construction method for connected graphs and continuous random unicellular maps using a tilted Brownian continuum random tree and local time measures for point identifications. The construction, known as the breadth-first construction, also provides an answer to a question about random graphs.
RANDOM STRUCTURES & ALGORITHMS
(2022)
Article
Statistics & Probability
Raphael Rossignol
Summary: The study focuses on dynamical percolation on a critical Erdos-Renyi random graph, showing the convergence of the process as n goes to infinity, and providing general Feller-type properties associated with fragmentation and coalescence.
ANNALS OF PROBABILITY
(2021)
Article
Environmental Sciences
Zebin Zhao, Rui Jin, Jian Kang, Chunfeng Ma, Weizhen Wang
Summary: This study comprehensively evaluated the applicability and effectiveness of four commonly used auxiliary variables in arid regions and compared them with ground-based soil moisture observations in the Heihe River Basin, China. The results showed that soil evaporative efficiency (SEE) is the most sensitive and accurate auxiliary variable for scaling and mapping soil moisture. The combination of land surface temperature (LST), normalized difference vegetation index (NDVI), and SEE enhances the scaling and mapping accuracy of soil moisture.
Article
Statistics & Probability
Vladislav Kargin
Summary: This paper considers Galton-Watson trees conditioned on both the total number of vertices n and the number of leaves k. The focus is on the case where both k and n grow to infinity and k = an + O(1), where a belongs to (0, 1). Assuming exponential decay of the offspring distribution, the authors show that the rescaled random tree converges in distribution to Aldous's Continuum Random Tree with respect to the Gromov-Hausdorff topology. The scaling depends on a parameter s* which is explicitly calculated. Additionally, the limit for the degree sequences of these random trees is computed.
JOURNAL OF THEORETICAL PROBABILITY
(2023)
Article
Mathematics, Applied
Ryosuke Ihara, Kazuyuki Yagasaki
Summary: The paper extends the mathematical foundation given by Medvedev in 2019 on analyzing coupled oscillator networks defined on single graphs to the situation of networks depending on multiple graphs. It proves that the continuum limit is still valid in this case. The paper also shows that the solutions to the networks and the continuum limit have a stable relationship and provides applications to coupled oscillator networks with multiple frequencies.
JOURNAL OF NONLINEAR SCIENCE
(2023)
Article
Mathematics, Applied
Thomas Gotfredsen, Jens Kaad, David Kyed
Summary: The compact quantum metric space structure on the Podles quantum sphere S-q(2) and the explicit formula for the induced metric on the spectrum are studied in this paper. It is shown that the resulting metric spaces vary continuously with respect to the deformation parameter q, converging to a classical interval of length pi as q tends to 1.
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
(2021)
Article
Mathematics, Applied
Si-Ao Xu, Yun-Xiang Li, Hongbo Hua, Xiang-Feng Pan
Summary: The paper explores the relationship between the resistance diameters of the line graph and the initial graph of a tree or unicyclic graph, showing that under certain conditions, the resistance diameter of the line graph will not exceed that of the initial graph.
DISCRETE APPLIED MATHEMATICS
(2022)
Article
Statistics & Probability
Nicolas Broutin, Thomas Duquesne, Minmin Wang
Summary: Motivated by the limits of critical inhomogeneous random graphs, this study constructs a family of measured metric spaces called continuous multiplicative graphs, which are expected to be the universal limit of graphs related to the multiplicative coalescent. The research introduces a new perspective on (discrete) inhomogeneous random graphs by embedding them into a Galton-Watson forest. By embedding the encoding process into a Levy process, the study demonstrates the essential encoding of the limiting metric. It also provides a transparent approach to compactness and fractal dimensions of continuous objects.
ANNALS OF APPLIED PROBABILITY
(2022)
Article
Computer Science, Theory & Methods
George Andriopoulos
Summary: Under the assumption of convergence of graph sequences equipped with resistances, associated measures, walks, and local times in a suitable Gromov-Hausdorff topology, we establish asymptotic bounds on the distribution of the $\varepsilon$ -blanket times of random walks. The precise nature of these bounds ensures convergence of the $\varepsilon$ -blanket times if the $\varepsilon$ -blanket time of the limiting diffusion is continuous with probability 1. This result enables us to prove annealed convergence in various examples of critical random graphs.
COMBINATORICS PROBABILITY & COMPUTING
(2023)
Article
Mathematics, Applied
B. R. Rakshith, Kinkar Chandra Das
Summary: This paper investigates the problem of determining a graph by its distance Laplacian spectrum. It is proven that the distance Laplacian spectrum of a complete k-partite graph is unique. Furthermore, the distance Laplacian spectral determination of a complete k-partite graph with edge addition is studied, and it is shown that graphs whose complements are disconnected and determined by their Laplacian spectra also have distance Laplacian spectral determination.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Chemistry, Multidisciplinary
Daqian Chai, Xinhui An, Baoyindureng Wu
Summary: This paper investigates the properties of the square of a graph and the Steiner distance, providing upper bounds for the Steiner Wiener index of trees and specific types of graphs. It also establishes the relationship between a connected graph and its connected complement.
MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY
(2022)
Article
Statistics & Probability
O. Angel, D. A. Croydon, S. Hernandez-Torres, D. Shiraishi
Summary: The study demonstrates the tightness of the law of the three-dimensional uniform spanning tree under rescaling in a particular space, and that the relevant laws converge along a specific scaling sequence. The techniques used are then applied to obtain properties of the intrinsic metric and measure of any limiting space. The research also delves into the random walk on the three-dimensional uniform spanning tree, deriving its properties and heat kernel estimates for diffusion as a scaling limit.
ANNALS OF PROBABILITY
(2021)
Article
Mathematics, Applied
Luis Eduardo Osorio Acevedo, Henry Mauricio Sanchez
Summary: We combine the pointed Gromov-Hausdorff metric with the locally C0-distance to obtain the pointed C0-Gromov-Hausdorff distance between maps of possibly different non-compact pointed metric spaces. The latter is combined with Walters's locally topological stability proposed by Lee-Nguyen-Yang, and GH-stability from Arbieto-Morales to obtain the notion of topologically GH-stable pointed homeomorphism. We give one example to show the difference between the distance when taking different base points in a pointed metric space.
QUALITATIVE THEORY OF DYNAMICAL SYSTEMS
(2023)
Article
Statistics & Probability
Jakob Bjornberg, Nicolas Curien, Sigurdur Orn Stefansson
Summary: This paper introduces a new family of random compact metric spaces called stable shredded spheres, constructed from excursions of alpha-stable Levy processes. It is shown that shredded spheres arise as scaling limits of causal random planar maps with large faces and their Hausdorff dimension is almost surely equal to alpha.
ANNALS OF PROBABILITY
(2022)
Article
Mathematics
Masayuki Aino
Summary: The study presents a Lichnerowicz-Obata type estimate for the first eigenvalue of the Laplacian on n-dimensional closed Riemannian manifolds with an almost parallel p-form, and provides a Gromov-Hausdorff approximation to a product structure under certain pinching conditions.
JOURNAL OF GEOMETRIC ANALYSIS
(2021)
Article
Statistics & Probability
Marie Albenque, Christina Goldschmidt
ELECTRONIC COMMUNICATIONS IN PROBABILITY
(2015)
Article
Statistics & Probability
Christina Goldschmidt, Benedicte Haas
ELECTRONIC JOURNAL OF PROBABILITY
(2015)
Article
Statistics & Probability
Christina Goldschmidt, Benedicte Haas
ANNALS OF PROBABILITY
(2016)
Article
Statistics & Probability
Christina Goldschmidt, Benedicte Haas
ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES
(2010)
Article
Statistics & Probability
Christina Goldschmidt, James B. Martin, Dario Spano
ELECTRONIC COMMUNICATIONS IN PROBABILITY
(2008)
Article
Statistics & Probability
Anne-Laure Basdevant, Christina Goldschmidt
ELECTRONIC JOURNAL OF PROBABILITY
(2008)
Article
Statistics & Probability
L. Addario-Berry, N. Broutin, C. Goldschmidt
ELECTRONIC JOURNAL OF PROBABILITY
(2010)
Article
Computer Science, Theory & Methods
Christina Goldschmidt, Michal Przykucki
COMBINATORICS PROBABILITY & COMPUTING
(2019)
Article
Statistics & Probability
Louigi Addario-Berry, Daphne Dieuleveut, Christina Goldschmidt
ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES
(2019)
Article
Statistics & Probability
Christina Goldschmidt, Eleonora Kreacic
ADVANCES IN APPLIED PROBABILITY
(2019)
Proceedings Paper
Mathematics
Christina Goldschmidt, Daniel Ueltschi, Peter Windridge
ENTROPY AND THE QUANTUM II
(2011)
Article
Statistics & Probability
Rui Dong, Christina Goldschmidt, James B. Martin
ANNALS OF APPLIED PROBABILITY
(2006)
Article
Statistics & Probability
C Goldschmitd, JB Martin
ELECTRONIC JOURNAL OF PROBABILITY
(2005)
Article
Statistics & Probability
Louigi Addario-Berry, Nicolas Broutin, Christina Goldschmidt, Gregory Miermont
ANNALS OF PROBABILITY
(2017)