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It is proved that the solutions to the singular stochastic $p$-Laplace equation, $p\in (1,2)$ and the solutions to the stochastic fast diffusion equation with nonlinearity parameter $r\in (0,1)$ on a bounded open domain $\Lambda\subset\R^d$…

Probability · Mathematics 2012-05-08 Ioana Ciotir , Jonas M. Tölle

The most common way to sample from a probability distribution is to use Monte-Carlo methods. For distributions on a continuous state space, one can find diffusions with the target distribution as equilibrium measure, so that the state of…

Probability · Mathematics 2015-10-28 Chii-Ruey Hwang , Raoul Normand , Sheng-Jhih Wu

It is shown that the inert properties of a stationary random process can be expressed in terms of the ratio of its correlation interval to the doubled variance. When using a fixed value of the Planck constant h as a proportionality factor,…

General Physics · Physics 2022-10-10 Mikhail Batanov-Gaukhman

We establish general conditions under which there exists uniform in time convergence between a stochastic process and its approximated system. These standardised conditions consist of a local in time estimate between the original and the…

Probability · Mathematics 2024-12-09 Katharina Schuh , Iain Souttar

This paper deals with the problem of quantifying the approximation a probability measure by means of an empirical (in a wide sense) random probability measure, depending on the first n terms of a sequence of random elements. In Section 2,…

Probability · Mathematics 2018-08-23 Emanuele Dolera , Eugenio Regazzini

Stochastic processes wherein the size of the state space is changing as a function of time offer models for the emergence of scale-invariant features observed in complex systems. I consider such a sample-space reducing (SSR) stochastic…

Statistical Mechanics · Physics 2016-05-04 Avinash Chand Yadav

The free convolution is the binary operation on the set of probability measures on the real line which allows to deduce, from the individual spectral distributions, the spectral distribution of a sum of independent unitarily invariant…

Probability · Mathematics 2008-06-05 Serban Belinschi , Florent Benaych-Georges , Alice Guionnet

It is shown that in the case of the spherically symmetric static backgrounds there is a gauge in which the Dirac equation is manifestly covariant under rotations. This allows us to separate the spherical variables like in the flat…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Ion I. Cotaescu

The Dirac equation with the Coulomb potential is studied. It is shown that there exists a new invariant in addition to the known Dirac and Johnson-Lippman ones. The solution of the Dirac equation, using the generalized invariant, and…

Quantum Physics · Physics 2020-09-22 A. A. Eremko , L. Brizhik , V. M. Loktev

This paper is concerned with the asymptotic behavior of the solution to the semilinear parabolic equation with dynamical boundary condition. Our main goal is to prove the convergence of a global solution to an equilibrium as time goes to…

Analysis of PDEs · Mathematics 2012-04-27 Hao Wu

Let $X$ be a locally compact Polish space. A random measure on $X$ is a probability measure on the space of all (nonnegative) Radon measures on $X$. Denote by $\mathbb K(X)$ the cone of all Radon measures $\eta$ on $X$ which are of the form…

Probability · Mathematics 2015-03-17 Yuri Kondratiev , Tobias Kuna , Eugene Lytvynov

The purpose of this paper is to investigate several issues concerning the Dirac equation from a time-frequency analysis perspective. More precisely, we provide estimates in weighted modulation and Wiener amalgam spaces for the solutions of…

Analysis of PDEs · Mathematics 2020-08-05 S. Ivan Trapasso

We use here a particle system to prove a convergence result as well as a deviation inequality for solutions of granular media equation when the confinement potential and the interaction potential are no more uniformly convex. Proof is…

Probability · Mathematics 2007-05-23 Patrick Cattiaux , Guillin Arnaud , Malrieu Florent

Solutions to differential equations, which are used to model physical systems, are computed numerically by solving a set of discretized equations. This set of discretized equations is reduced to a large linear system, whose solution is…

Numerical Analysis · Mathematics 2024-03-18 Mohit Tekriwal , Joshua Miller , Jean-Baptiste Jeannin

We give the first rigorous proof of the convergence of Riemannian Hamiltonian Monte Carlo, a general (and practical) method for sampling Gibbs distributions. Our analysis shows that the rate of convergence is bounded in terms of natural…

Data Structures and Algorithms · Computer Science 2017-10-18 Yin Tat Lee , Santosh S. Vempala

The BBM equation is a Hamiltonian PDE which revealed to be a very interesting test-model to study the transformation property of Gaussian measures along the flow. In this paper we study the BBM equation with critical dispersion (which is a…

Probability · Mathematics 2022-02-15 Giuseppe Genovese , Renato Lucá , Nikolay Tzvetkov

We consider the asymptotic behavior of the soltion to the wave equation with time-dependent damping and analytic nonlinearity. Our main goal is to prove the convergence of a global solution to an equilibrium as time goes to infinity by…

Analysis of PDEs · Mathematics 2013-09-11 Zhe Jiao

In this paper, we analyze the pressureless damped Euler-Riesz equations posed in either $\mathbb{R}^d$ or $\mathbb{T}^d$. We construct the global-in-time existence and uniqueness of classical solutions for the system around a constant…

Analysis of PDEs · Mathematics 2021-04-13 Young-Pil Choi , Jinwook Jung

Let $\left(u(t,x), t\geq 0, x\in \mathbb{R}^d\right)$ be the solution to the stochastic heat or wave equation driven by a Gaussian noise which is white in time and white or correlated with respect to the spatial variable. We consider the…

Probability · Mathematics 2024-04-18 Ciprian A Tudor , Jérémy Zurcher

We establish global well-posedness and scattering for the cubic Dirac equation for small data in the critical space $H^1(\mathbb{R}^3)$. The main ingredient is obtaining a sharp end-point Strichartz estimate for the Klein-Gordon equation.…

Analysis of PDEs · Mathematics 2015-03-09 Ioan Bejenaru , Sebastian Herr