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We study unique solvability for one dimensional stochastic pressure equation with diffusion coefficient given by the Wick exponential of log-correlated Gaussian fields. We prove well-posedness for Dirichlet, Neumann and periodic boundary…

Probability · Mathematics 2025-12-02 Benny Avelin , Tuomo Kuusi , Patrik Nummi , Eero Saksman , Jonas M. Tölle , Lauri Viitasaari

In the study of partial differential equations (PDEs) with random initial data and singular stochastic PDEs with random forcing, we typically decompose a classically ill-defined solution map into two steps, where, in the first step, we use…

Analysis of PDEs · Mathematics 2024-09-12 Tadahiro Oh , Mamoru Okamoto , Oana Pocovnicu , Nikolay Tzvetkov

A procedure is described for defining a generalized solution for stochastic differential equations using the Cameron-Martin version of the Wiener Chaos expansion. Existence and uniqueness of this Wiener Chaos solution is established for…

Probability · Mathematics 2007-06-19 S. V. Lototsky , B. L. Rozovskii

A white noise quantum stochastic calculus is developped using classical measure theory as mathematical tool. Wick's and Ito's theorems have been established. The simplest quantum stochastic differential equation has been solved, unicity and…

Operator Algebras · Mathematics 2008-06-24 Wilhelm von Waldenfels

We derive the Wick theorem for the q-Exponential distribution. We use the theorem to derive an algorithm for finding parameters of the correlation matrix of q-Exponentialy distributed random variables given empirical spectral moments of the…

Mathematical Physics · Physics 2007-05-23 Przemyslaw Repetowicz , Peter Richmond

A two-type continuous-state branching process in varying environments is constructed as the pathwise unique solution of a system of stochastic equations driven by time-space noises, where the pathwise uniqueness is derived from a comparison…

Probability · Mathematics 2025-02-07 Zenghu Li , Junyan Zhang

We study periodic solutions to the following divergence-form stochastic partial differential equation with Wick-renormalized gradient on the $d$-dimensional flat torus $\mathbb{T}^d$, \[ -\nabla\cdot\left(e^{\diamond (- \beta X)…

Probability · Mathematics 2025-05-15 Benny Avelin , Tuomo Kuusi , Patrik Nummi , Eero Saksman , Jonas M. Tölle , Lauri Viitasaari

We introduce and study an alternative form of the chaotic expansion for counting processes using the Poisson imbedding representation; we name this alternative form \textit{pseudo-chaotic expansion}. As an application, we prove that the…

Probability · Mathematics 2022-09-07 Caroline Hillairet , Anthony Reveillac

We study strictly parabolic stochastic partial differential equations on $\R^d$, $d\ge 1$, driven by a Gaussian noise white in time and coloured in space. Assuming that the coefficients of the differential operator are random, we give…

Probability · Mathematics 2007-05-23 Marco Ferrante , Marta Sanz-Solé

A probabilistic method is derived for solution of ohmic circuit problems. It is compared to the standard approach, which is construction and solution of a set of coupled, linear equations manifesting Kirchhoff's laws. An example is made of…

Statistical Mechanics · Physics 2019-06-26 Clinton DeW. Van Siclen

In this article, we will construct an approximation of Gaussian white noise based on the sequence of Bernoulli random variables and define Wick's products and the stochastic exponent for the Bernoulli case. Here we will propose a method to…

Probability · Mathematics 2023-04-20 Anastasiia Hrabovets

For hyperbolic first-order systems of linear partial differential equations (master equations), appearing in description of kinetic processes in physics, biology and chemistry we propose a new procedure to obtain their complete closed-form…

Analysis of PDEs · Mathematics 2007-05-23 E. I. Ganzha , V. M. Loginov , S. P. Tsarev

A new class of random partial differential equations of parabolic type is considered, where the stochastic term consists of an irregular noisy drift, not necessarily Gaussian, for which a suitable interpretation is provided. After freezing…

Probability · Mathematics 2007-12-04 Francesco Russo , Gerald Trutnau

We consider linear stochastic differential-algebraic equations with constant coefficients and additive white noise. Due to the nature of this class of equations, the solution must be defined as a generalised process (in the sense of Dawson…

Probability · Mathematics 2007-05-23 Aureli Alabert , Marco Ferrante

Stochastic resonance is a phenomenon where a noise of appropriate intensity enhances the input signal strength. In this work, by employing the recently developed convex optimization methods in the context of dynamical systems and stochastic…

Dynamical Systems · Mathematics 2023-09-22 Minjae Cho

The paper studies stochastic integration with respect to Gaussian processes and fields. It is more convenient to work with a field than a process: by definition, a field is a collection of stochastic integrals for a class of deterministic…

Probability · Mathematics 2007-10-15 S. V. Lototsky , K. Stemmann

Using the white noise setting, in particular the Wick product, the Hermite transform, and the Kondratiev space, we present a new approach to study linear stochastic systems, where randomness is also included in the transfer function. We…

Probability · Mathematics 2008-11-27 Daniel Alpay , David Levanony

We study the existence and propagation of singularities of the solution to a one-dimensional linear stochastic wave equation driven by an additive Gaussian noise that is white in time and colored in space. Our approach is based on a…

Probability · Mathematics 2021-07-22 Cheuk Yin Lee , Yimin Xiao

We introduce a new class of piece-wise quadratic potentials for nonlinear wave equations with a kink solutions. The potentials allow an exact description of the spectral properties for the linearized equation at the kink. This description…

Mathematical Physics · Physics 2012-06-27 Alexander Komech , Elena Kopylova , Sergey Kopylov

We study existence and uniqueness of solution for stochastic differential equations with distributional drift by giving a meaning to the Stroock-Varadhan martingale problem associated such equations. The approach we exploit is the one of…

Probability · Mathematics 2017-08-01 Giuseppe Cannizzaro , Khalil Chouk