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We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimisation methods in the context of matrix product states. In particular, we introduce a new integration scheme for…

Quantum Physics · Physics 2016-10-19 Jutho Haegeman , Christian Lubich , Ivan Oseledets , Bart Vandereycken , Frank Verstraete

The problem of statistics of molecular random walks in a classical fluid is analyzed by means of the BBGKY hierarchy of equations reformulated in terms of the Bogolyubov evolution equation for generating functional of many-particle…

Statistical Mechanics · Physics 2008-04-15 Yuriy E. Kuzovlev

We propose discrete random-field models that are based on random partitions of $\mathbb{N}^2$. The covariance structure of each random field is determined by the underlying random partition. Functional central limit theorems are established…

Probability · Mathematics 2018-02-13 Olivier Durieu , Yizao Wang

We study random walk among random conductance (RWRC) on complete graphs with N vertices. The conductances are i.i.d. and the sum of conductances emanating from a single vertex asymptotically has an infinitely divisible distribution…

Probability · Mathematics 2018-09-20 Andrea Collevecchio , Paul Jung

It is well known that the mean field theory of directed polymers in a random medium exhibits replica symmetry breaking with a distribution of overlaps which consists of two delta functions. Here we show that the leading finite size…

Statistical Mechanics · Physics 2016-10-12 Bernard Derrida , Peter Mottishaw

We consider one-dimensional branching Brownian motion in spatially random branching environment (BBMRE) and show that for almost every realisation of the environment, the distributions of the maximal particle of the BBMRE re-centred around…

Probability · Mathematics 2024-06-25 Jiří Černý , Alexander Drewitz , Pascal Oswald

Relaxed random walk (RRW) models of trait evolution introduce branch-specific rate multipliers to modulate the variance of a standard Brownian diffusion process along a phylogeny and more accurately model overdispersed biological data.…

Populations and Evolution · Quantitative Biology 2019-11-15 Alexander A. Fisher , Xiang Ji , Philippe Lemey , Marc A. Suchard

We consider the long-time behaviour of binary branching Brownian motion (BBM) where the branching rate depends on a periodic spatial heterogeneity. We prove that almost surely as $t\to\infty$, the heterogeneous BBM at time $t$, normalized…

Probability · Mathematics 2025-07-15 Louigi Addario-Berry , Arturo Arellano Arias , Jessica Lin

We identify the fluctuations of the partition function for a class of random energy models, where the energies are given by the positions of the particles of the complex-valued branching Brownian motion (BBM). Specifically, we provide the…

Probability · Mathematics 2015-10-28 Lisa Hartung , Anton Klimovsky

Considering a critical branching random walk on the real line. From a study of the law of the trajectory of a particle chosen under the polymer measure, we establish a first order transition for the partition function at the critical…

Probability · Mathematics 2013-08-07 Thomas Madaule

We study the first passage times of discrete-time branching random walks in ${\mathbb R}^d$ where $d\geq 1$. Here, the genealogy of the particles follows a supercritical Galton-Watson process. We provide asymptotics of the first passage…

Probability · Mathematics 2026-01-06 Jose Blanchet , Wei Cai , Shaswat Mohanty , Zhenyuan Zhang

We analyze generalized space-time fractional motions on undirected networks and lattices. The continuous-time random walk (CTRW) approach of Montroll and Weiss is employed to subordinate a space fractional walk to a generalization of the…

We consider a particular Branching Random Walk in Random Environment (BRWRE) on $\sN_0$ started with one particle at the origin. Particles reproduce according to an offspring distribution (which depends on the location) and move either one…

Probability · Mathematics 2009-12-01 Christian Bartsch , Nina Gantert , Michael Kochler

Random walk sampling methods have been widely used in graph sampling in recent years, while it has bias towards higher degree nodes in the sample. To overcome this deficiency, classical methods such as MHRW design weighted walking by…

Methodology · Statistics 2022-09-27 Xiao Qi

We prove the convergence of the extremal processes for variable speed branching Brownian motions where the "speed functions", that describe the time-inhomogeneous variance, lie strictly below their concave hull and satisfy a certain weak…

Probability · Mathematics 2015-04-15 Anton Bovier , Lisa Hartung

We introduce oscillatory analogues of fractional Brownian motion, sub-fractional Brownian motion and other related long range dependent Gaussian processes, we discuss their properties, and we show how they arise from particle systems with…

Probability · Mathematics 2013-12-16 Tomasz Bojdecki , Luis G. Gorostiza , Anna Talarczyk

Consider the supercritical branching random walk on the real line in the boundary case and the associated Gibbs measure $\nu_{n,\beta}$ on the $n^\text{th}$ generation, which is also the polymer measure on a disordered tree with inverse…

Probability · Mathematics 2017-03-30 Michel Pain

In recent years a huge interdisciplinary field has emerged which is devoted to the complex dynamics of anomalous transport with long-time memory and non-markovian features. It was found that the framework of fractional calculus and its…

Probability · Mathematics 2022-04-27 Thomas M. Michelitsch , Federico Polito , Alejandro P. Riascos

We consider random walks on discrete state spaces, such as general undirected graphs, where the random walkers are designed to approximate a target quantity over the network topology via sampling and neighborhood exploration in the form of…

Probability · Mathematics 2024-01-30 Vishwaraj Doshi , Jie Hu , Do Young Eun

The aim of this paper is the study of the strong local survival property for discrete-time and continuous-time branching random walks. We study this property by means of an infinite dimensional generating function G and a maximum principle…

Probability · Mathematics 2013-05-01 Daniela Bertacchi , Fabio Zucca