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In this paper, to cope with the shortage of sufficient theoretical support resulted from the fast-growing quantitative financial modeling, we investigate two classes of generalized stochastic volatility models, establish their…

Probability · Mathematics 2020-10-20 Ning Ning , Jing Wu

Of concern is the study of a system of three equations describing the motion of a viscous complete wetting two-phase thin film endowed with a layer of insoluble surfactant on the surface of the upper fluid under the effects of capillary…

Analysis of PDEs · Mathematics 2016-08-30 Gabriele Bruell

Stochastic equations indexed by negative integers and taking values in compact groups are studied. Extremal solutions of the equations are characterized in terms of infinite products of independent random variables. This result is applied…

Probability · Mathematics 2010-03-23 Takao Hirayama , Kouji Yano

The construction of stochastic solutions for nonlinear partial differential equations is a powerful method to obtain new exact results and to develop efficient numerical algorithms, in particular when domain decomposition techniques are…

Mathematical Physics · Physics 2012-09-17 Rui Vilela Mendes

We establish a consistency result by comparing two independent notions of generalised solutions to a large class of linear hyperbolic first order PDE systems with constant coefficients, showing that they eventually coincide. The first is…

Analysis of PDEs · Mathematics 2018-01-25 Nikos Katzourakis

Cellular signaling networks have evolved to cope with intrinsic fluctuations, coming from the small numbers of constituents, and the environmental noise. Stochastic chemical kinetics equations govern the way biochemical networks process…

Quantitative Methods · Quantitative Biology 2009-11-13 Yueheng Lan , Peter G. Wolynes , Garegin A. Papoian

We consider the problem of constructing weak solutions to the It\^{o} and to the Stratonovich stochastic differential equations having critical-order singularities in the drift and critical-order discontinuities in the dispersion matrix.

Probability · Mathematics 2019-04-03 D. Kinzebulatov , Yu. A. Semenov

We study a time fractional heat equation in a noncylindrical domain. The problem is one-dimensional. We prove existence of properly defined weak solutions by means of the Galerkin approximation.

Analysis of PDEs · Mathematics 2016-08-05 Adam Kubica , Piotr Rybka , Katarzyna Ryszewska

We first establish strong convergence rates for multiscale systems driven by $\alpha$-stable processes, with analyses constructed in two distinct scaling regimes. When addressing weak convergence rates of this system, we derive four…

Probability · Mathematics 2026-03-03 Kun Yin

We study the connection between mild and weak solutions for a class of measure-valued evolution equations on the bounded domain $[0,1]$. Mass moves, driven by a velocity field that is either a function of the spatial variable only,…

Analysis of PDEs · Mathematics 2016-07-26 Joep H. M. Evers

This paper presents invariants under gamma correction and similarity transformations. The invariants are local features based on differentials which are implemented using derivatives of the Gaussian. The use of the proposed invariant…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Andreas Siebert

A system of quasilinear elliptic equations on an unbounded domain is considered. The existence of a sequence of radially symmetric weak solutions is proved via variational methods.

Analysis of PDEs · Mathematics 2020-06-11 M. A. Ragusa , A. Razani

We prove that if $f:\mathbb{R}\to\mathbb{R}$ is Lipschitz continuous, then for every $H\in(0,1/4]$ there exists a probability space on which we can construct a fractional Brownian motion $X$ with Hurst parameter $H$, together with a process…

Probability · Mathematics 2014-10-17 Davar Khoshnevisan , Jason Swanson , Yimin Xiao , Liang Zhang

The convergence of stochastic integrals driven by a sequence of Wiener processes $W_n\to W$ (with convergence in $C_t$) is crucial in the analysis of stochastic partial differential equations (SPDEs). The convergence we focus on in this…

Probability · Mathematics 2023-08-24 Kenneth H. Karlsen , Peter H. C. Pang

We consider port-Hamiltonian systems from a geometric perspective, where the quantities involved such as state, flows, and efforts evolve in (possibly infinite-dimensional) Banach spaces. The main contribution of this article is the…

Dynamical Systems · Mathematics 2025-09-09 Timo Reis

By using path integrals, the stochastic process associated to the time evolution of the quantum probability density is formally rewritten in terms of a stochastic differential equation, given by Newton's equation of motion with an…

Quantum Physics · Physics 2018-01-04 Marco Patriarca

We study large deviation properties of systems of weakly interacting particles modeled by It\^{o} stochastic differential equations (SDEs). It is known under certain conditions that the corresponding sequence of empirical measures…

Probability · Mathematics 2012-09-26 Amarjit Budhiraja , Paul Dupuis , Markus Fischer

Various strategies for extracting or constraining the weak phase gamma with controlled theoretical uncertainties are reviewed. Measurements of the rates for the hadronic decays B^+- -> pi K provide largely model-independent information on…

High Energy Physics - Phenomenology · Physics 2007-05-23 Matthias Neubert

We construct non-negative weak solutions of fast diffusion equations with a divergence type of drift term satisfying the $L^q$-energy inequality and speed estimate in Wasserstein spaces under some integrability conditions on the drift term.…

Analysis of PDEs · Mathematics 2025-02-26 Sukjung Hwang , Kyungkeun Kang , Hwa Kil Kim

We study the nonlinear stochastic heat equation driven by space-time white noise in the case that the initial datum $u_0$ is a (possibly signed) measure. In this case, one cannot obtain a mild random-field solution in the usual sense. We…

Probability · Mathematics 2010-04-19 Daniel Conus , Davar Khoshnevisan