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We study random walks on sub-Riemannian manifolds using the framework of retractions, i.e., approximations of normal geodesics. We show that such walks converge to the correct horizontal Brownian motion if normal geodesics are approximated…

Probability · Mathematics 2023-11-30 Michael Herrmann , Pit Neumann , Simon Schwarz , Anja Sturm , Max Wardetzky

We consider a certain class of Riemannian submersions $\pi : N \to M$ and study lifted geodesic random walks from the base manifold $M$ to the total manifold $N$. Under appropriate conditions on the distribution of the speed of the geodesic…

Probability · Mathematics 2023-10-03 Jonathan Junné , Frank Redig , Rik Versendaal

We consider different sub-Laplacians on a sub-Riemannian manifold $M$. Namely, we compare different natural choices for such operators, and give conditions under which they coincide. One of these operators is a sub-Laplacian we constructed…

Differential Geometry · Mathematics 2014-12-02 Maria Gordina , Thomas Laetsch

According to a version of Donsker's theorem, geodesic random walks on Riemannian manifolds converge to the respective Brownian motion. From a computational perspective, however, evaluating geodesics can be quite costly. We therefore…

Probability · Mathematics 2023-12-05 Simon Schwarz , Michael Herrmann , Anja Sturm , Max Wardetzky

Consider $n$ points independently sampled from a density $p$ of class $\mathcal{C}^2$ on a smooth compact $d$-dimensional sub-manifold $\mathcal{M}$ of $\mathbb{R}^m$, and consider the generator of a random walk visiting these points…

Probability · Mathematics 2022-12-22 Hélène Guérin , Dinh-Toan Nguyen , Viet-Chi Tran

The aim of this work is to study the convergence to equilibrium of an $(h,\rho)$-subelliptic random walk on a closed, connected Riemannian manifold $(M,g)$ associated with a subelliptic second-order differential operator $A$ on $M$. In such…

Analysis of PDEs · Mathematics 2025-11-25 Davide Tramontana

Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the submanifold. The graph Laplacian of such a graph is used in…

Statistics Theory · Mathematics 2007-06-27 Matthias Hein , Jean-Yves Audibert , Ulrike von Luxburg

We present a study of the distance between a Brownian motion and a submanifold of a complete Riemannian manifold. We include a variety of results, including an inequality for the Laplacian of the distance function derived from a Jacobian…

Probability · Mathematics 2016-04-19 James Thompson

The kinetic Brownian motion on the sphere bundle of a Riemannian manifold $M$ is a stochastic process that models a random perturbation of the geodesic flow. If $M$ is a orientable compact constant negatively curved surface, we show that in…

Spectral Theory · Mathematics 2020-11-17 Martin Kolb , Tobias Weich , Lasse Lennart Wolf

On a sub-Riemannian manifold we define two type of Laplacians. The \emph{macroscopic Laplacian} $\Delta_\omega$, as the divergence of the horizontal gradient, once a volume $\omega$ is fixed, and the \emph{microscopic Laplacian}, as the…

Differential Geometry · Mathematics 2017-06-09 Ugo Boscain , Robert Neel , Luca Rizzi

We consider the symmetric exclusion process on suitable random grids that approximate a compact Riemannian manifold. We prove that a class of random walks on these random grids converge to Brownian motion on the manifold. We then consider…

Probability · Mathematics 2020-01-08 Bart van Ginkel , Frank Redig

Cubical complexes are metric spaces constructed by gluing together unit cubes in an analogous way to the construction of simplicial complexes. We construct Brownian motion on such spaces, define random walks, and prove that the transition…

Populations and Evolution · Quantitative Biology 2019-05-23 Tom M. W. Nye

Brownian motion with darning (BMD in abbreviation) is introduced and studied in [4] and [5, Chapter 7]. Roughly speaking, BMD travels across the "darning area" at infinite speed, while it behaves like a regular BM outside of this area. In…

Probability · Mathematics 2022-03-25 Shuwen Lou

The fractional Brownian motion is a generalization of ordinary Brownian motion, used particularly when long-range dependence is required. Its explicit introduction is due to B.B. Mandelbrot and J.W. van Ness (1968) as a self-similar…

Probability · Mathematics 2010-08-11 Tamas Szabados

Motivated by L\'{e}vy's characterization of Brownian motion on the line, we propose an analogue of Brownian motion that has as its state space an arbitrary closed subset of the line that is unbounded above and below: such a process will be…

Probability · Mathematics 2009-09-29 Shankar Bhamidi , Steven N. Evans , Ron Peled , Peter Ralph

The kinetic Brownian motion on the sphere bundle of a Riemannian manifold $M$ is a stochastic process that models a random perturbation of the geodesic flow. If $M$ is a orientable compact constantly curved surface, we show that in the…

Spectral Theory · Mathematics 2020-11-13 Martin Kolb , Tobias Weich , Lasse Lennart Wolf

We prove the convergence of the spectrum of the generator of the kinetic Brownian motion to the spectrum of the base Laplacian for closed Riemannian manifolds. This generalizes recent work of Kolb--Weich--Wolf [arXiv:2011.06434] on constant…

Spectral Theory · Mathematics 2023-02-03 Qiuyu Ren , Zhongkai Tao

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

In this article, we show a result of approximation in law to subfractional Brownian motion, with $H>\frac{1}{2}$, in the Skorohod topology. The construction of these approximations is based on a sequence of I.I.D random variables

Probability · Mathematics 2014-01-17 Hongshuai Dai

In this paper, we construct scaling limits of some branching random walks in random environment whose off-spring distributions have infinite variance. The Laplace functional of the obtained random measure is given by a non-linear PAM, whose…

Probability · Mathematics 2023-09-19 Ruhong Jin
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