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We establish a superposition principle in disjoint variables for the inhomogeneous infinity-Laplace equation. We show that the sum of viscosity solutions of the inhomogeneous infinity-Laplace equation in separate domains is a viscosity…

Analysis of PDEs · Mathematics 2025-09-16 Qing Liu , Juan J. Manfredi , Xiaodan Zhou

In this paper we prove the equivalence between some known notions of solutions to the eikonal equation and more general analogs of the Hamilton-Jacobi equations in complete and rectifiably connected metric spaces. The notions considered are…

Analysis of PDEs · Mathematics 2020-06-04 Qing Liu , Nageswari Shanmugalingam , Xiaodan Zhou

We propose a model for the coupling of flow and transport equations with porous membrane-type conditions on part of the boundary. The governing equations consist of the incompressible Navier--Stokes equations coupled with an…

Numerical Analysis · Mathematics 2025-10-07 Arbaz Khan , David Mora , Ricardo Ruíz-Baier , Jesus Vellojin

The trapping of excitations in systems coupled to an environment allows to study the quantum to classical crossover by different means. We show how to combine the phenomenological description by a non-hermitian Liouville-von Neumann…

Quantum Physics · Physics 2015-05-14 Oliver Muelken , Lothar Muehlbacher , Tobias Schmid , Alexander Blumen

We consider viscosity solutions of a class of nonlinear degenerate elliptic equations on bounded domains. We prove comparison principles and a priori supremum bounds for the solutions. We also address the eigenvalue problem and, in many…

Analysis of PDEs · Mathematics 2016-10-13 Tilak Bhattacharya , Leonardo Marazzi

We propose a spectral viscosity method (SVM) to approximate the incompressible Euler equations driven by a multiplicative noise. We show that SVM solution converges to a dissipative measure-valued martingale solution. These solutions are…

Analysis of PDEs · Mathematics 2021-09-03 Abhishek Chaudhary

We consider reflected generalized backward doubly stochastic differential equations driven by a non-homogeneous L\'evy process. Under stochastic conditions on the coefficients, we prove the existence and uniqueness of a solution.…

Probability · Mathematics 2026-02-25 Badr Elmansouri , Mohammed Elhachemy , Mohamed Marzougue , Mohamed El Jamali

A covariant formulation of the virtual power principle based on Lie derivatives is proposed. The Lie covariant approach does not require an inner product and the Cauchy deformation tensor to start, but, at first order in a Galilean…

Classical Physics · Physics 2022-08-24 Gilles P. Leborgne

For a converging sequence of exponential L\'evy models, we give conditions under which the associated sequence of option prices converges. We also study the behaviour of the prices when no such convergence holds. We then consider two…

Probability · Mathematics 2018-04-20 S. Cawston , L. Vostrikova

In this article, we are concerned with a multidimensional degenerate parabolic-hyperbolic equation driven by Levy processes. Using bounded variation (BV) estimates for vanishing viscosity approximations, we derive an explicit continuous…

Analysis of PDEs · Mathematics 2016-04-28 Ujjwal Koley , Ananta K. Majee , Guy Vallet

We consider new performance measures for vibrational systems based on the $H_2$ norm of linear time invariant systems. New measures will be used as an optimization criterion for the optimal damping of vibrational systems. We consider both…

Optimization and Control · Mathematics 2019-06-04 Ivica Nakić , Zoran Tomljanović , Ninoslav Truhar

A method is developed to estimate the parameters of a Levy copula of a discretely observed bivariate compound Poisson process without knowledge of common shocks. The method is tested in a small sample simulation study. Also, the method is…

Risk Management · Quantitative Finance 2012-12-04 J. L. van Velsen

We analyze a semi-explicit time discretization scheme of first order for poro\-elasticity with nonlinear permeability provided that the elasticity model and the flow equation are only weakly coupled. The approach leads to a decoupling of…

Numerical Analysis · Mathematics 2021-09-30 Robert Altmann , Roland Maier

The problem is addressed of defining the values of functions, whose variables tend to infinity, from the knowledge of these functions at asymptotically small variables close to zero. For this purpose, the extrapolation by means of different…

Statistical Mechanics · Physics 2010-10-05 S. Gluzman , V. I. Yukalov

By using the mirror coupling for solutions of SDEs driven by pure jump L\'evy processes, we extend some transportation and concentration inequalities, which were previously known only in the case where the coefficients in the equation…

Probability · Mathematics 2019-11-12 Mateusz B. Majka

Pairwise comparisons are an important tool of modern (multiple criteria) decision making. Since human judgments are often inconsistent, many studies focused on the ways how to express and measure this inconsistency, and several…

Artificial Intelligence · Computer Science 2017-05-01 Jiri Mazurek

Calibrating a L\'evy process usually requires characterizing its jump distribution. Traditionally this problem can be solved with nonparametric estimation using the empirical characteristic functions (ECF), assuming certain regularity, and…

Machine Learning · Statistics 2019-09-30 Kailai Xu , Eric Darve

The L\'evy-stable distribution is the attractor of distributions which hold power laws with infinite variance. This distribution has been used in a variety of research areas, for example in economics it is used to model financial market…

Statistical Mechanics · Physics 2018-07-11 Karina Arias-Calluari , Fernando Alonso-Marroquin , Michael Harre

An initial-and boundary-value problem for the Kelvin-Voigt system, modeling a mixture of n incompressible and viscoelastic fluids, with non-constant density, is investigated in this work. The existence of global-in-time weak solutions is…

Analysis of PDEs · Mathematics 2025-06-13 S. N. Antontsev , H. B. de Oliveira , I. V. Kuznetsov , D. A. Prokudin , Kh. Khompysh

We show that Markov couplings can be used to improve the accuracy of Markov chain Monte Carlo calculations in some situations where the steady-state probability distribution is not explicitly known. The technique generalizes the notion of…

Numerical Analysis · Mathematics 2015-05-13 Jonathan B. Goodman , Kevin K. Lin
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